references_clean.bib

@inproceedings{chen3DDRESDetailed3D2026,
  author = {Chen, Q and Wu, C and Ji, J and Ma, Y and Cao, L},
  title = {3D-DRES: Detailed 3D Referring Expression Segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{wangAffordancer1ReinforcementLearning2026,
  author = {Wang, H and Wang, S and Zhong, Y and Yang, Z and Wang, J},
  title = {Affordance-r1: Reinforcement learning for generalizable affordance reasoning in multimodal large language models},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{luoConnectingDotsTrainingFree2026,
  author = {Luo, L and Chen, G and Zheng, X and Dai, Y and Zou, Y},
  title = {Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026}
}

@inproceedings{libExploringEfficientOpenvocabulary2026,
  author = {Li, B and Dong, H and Zhang, D},
  title = {Exploring efficient open-vocabulary segmentation in the remote sensing},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40},
  pages = {5982--5991}
}

@inproceedings{huangPixelsLogicPerceptionReasoning2026,
  author = {Huang, L and Zhong, S and Zhang, Z and Liu, Y},
  title = {From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{vvatsGuidelineConsistentSegmentationMultiAgent2026,
  author = {Vats, V and Rathee, A and Davis, J},
  title = {Guideline-Consistent Segmentation via Multi-Agent Refinement},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{zhuLensLearningSegment2026,
  author = {Zhu, L and Ouyang, B and Zhang, Y and Cheng, T and Hu, R},
  title = {Lens: Learning to segment anything with unified reinforced reasoning},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{yanMedreasonerReinforcementLearning2026,
  author = {Yan, Z and Diao, M and Yang, Y and Jing, R and Xu, J and Zhang, K},
  title = {Medreasoner: Reinforcement learning drives reasoning grounding from clinical thought to pixel-level precision},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026}
}

@inproceedings{tanPCCrossDiffPointClusterDualLevel2026,
  author = {Tan, W and Lin, J and Wang, F and Xie, Y and Xie, Y and Zhang, Y},
  title = {PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026}
}

@inproceedings{zhouReasoningImplicitSelfsupervised2026,
  author = {Zhou, Q and Yang, L and Jia, Y and Gao, J and Ni, W and Wu, J and Wang, Q},
  title = {Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{yeRISLADBenchmarkModel2026,
  author = {Ye, K and Luan, YS and Chen, Z and Meng, G and Dai, P},
  title = {RIS-LAD: A Benchmark and Model for Referring Image Segmentation in Low-Altitude Drone Imagery},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{guoSeeingBelievingRichContext2026,
  author = {Guo, P and Wu, C and Zhou, X and Hong, L and Chen, Z and Li, J},
  title = {Seeing is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{zhouThinkYouSegment2026,
  author = {Zhou, J and Zhou, Y and Han, M and Wang, T and Chang, X},
  title = {Think before you segment: An object-aware reasoning agent for referring audio-visual segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{xuVideosegr1ReasoningVideo2026,
  author = {Xu, Z and Guo, Y and Lu, Y and Yang, F and Li, J and Cai, L},
  title = {Videoseg-r1: reasoning video object segmentation via reinforcement learning},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026}
}

@inproceedings{hwangXSAMSegmentAnything2026,
  author = {Wang, H and Qiao, L and Jie, Z and Huang, Z and Feng, C},
  title = {X-SAM: From segment anything to any segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  volume = {40}
}

@inproceedings{yxchngAligningVisionLanguageModel2026,
  author = {Chng, Y X and Qiu, X and Han, Y and Ding, K},
  title = {Aligning Vision-Language Model with Fine-grained Semantics for Open-Vocabulary Segmentation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2026}
}

@inproceedings{wangAltoAdaptivelengthTokenizer2026,
  author = {Wang, Lingfeng and Lin, Hualing and Chen, Senda and Wang, Tao and Cheng, Changxu and Zhong, Yangyang and Zheng, Dong and Zhao, Wuyue},
  title = {ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/hash/17a9ab4190289f0e1504bbb98d1d111a-Abstract-Conference.html}
}

@inproceedings{dengCoconutpancapJointPanoptic2026,
  author = {Deng, Xueqing and Yang, Linjie and Yu, Qihang and Athar, Ali and Yang, Chenglin and Jin, Xiaojie and Shen, Xiaohui and Chen, Liang-Chieh},
  title = {COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/528470fcd715697580bc06a16f4129fd-Paper-Datasets_and_Benchmarks_Track.pdf}
}

@inproceedings{shenFinegrainedPreferenceOptimization2026,
  author = {Shen, Yifan and Liu, Yuanzhe and Zhu, Jingyuan and Cao, Xu and Zhang, Xiaofeng and He, Yixiao and Ye, Wenming and Rehg, James Matthew and Lourentzou, Ismini},
  title = {Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://papers.neurips.cc/paper_files/paper/2025/file/1a17a06de88cf77f25cda0da91615a54-Paper-Conference.pdf}
}

@article{zhangFineRSFinegrainedReasoning2026,
  author = {Zhang, Lu and Yu, Jiazuo and Xiong, Haomiao and Hu, Ping and Zhuge, Yunzhi and Lu, Huchuan and He, You},
  title = {FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning},
  journal = {arXiv preprint arXiv:2510.21311},
  year = {2025},
  url = {https://arxiv.org/abs/2510.21311}
}

@inproceedings{yangFocusUnifiedVisionlanguage2026,
  author = {Yang, F and Zhu, Y and Li, X and Zhan, Y and Zhao, H},
  title = {Focus: Unified vision-language modeling for interactive editing driven by referential segmentation},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@inproceedings{ymiaoLanghopsLanguageGrounded2026,
  author = {Miao, Y and Zaech, J N and Wang, X},
  title = {LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://arxiv.org/abs/2510.25263}
}

@inproceedings{quenumLisatLanguageinstructedSegmentation2026,
  author = {Quenum, Jerome and Hsieh, Wen-Han and Wu, Tsung-Han and Gupta, Ritwik and Darrell, Trevor and Chan, David M.},
  title = {LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://nips.cc/virtual/2025/poster/121596}
}

@inproceedings{jhuangMllmfor3dAdaptingMultimodal2026,
  author = {Huang, J and Chen, R and Li, Z and Gao, Z and He, X and others},
  title = {Mllm-for3d: Adapting multimodal large language model for 3d reasoning segmentation},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@article{zhongOmnir1ReinforcementLearning2026,
  author = {Zhong, Hao and Zhu, Muzhi and Du, Zongze and Huang, Zheng and Zhao, Canyu and Liu, Mingyu and Wang, Wen and Chen, Hao and Shen, Chunhua},
  title = {Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration},
  journal = {arXiv preprint arXiv:2505.20256},
  year = {2025},
  url = {https://arxiv.org/abs/2505.20256}
}

@inproceedings{zhangOpenhoiOpenworldHandobject2026,
  author = {Zhang, Zhenhao and Shi, Ye and Yang, Lingxiao and Ni, Suting and Ye, Qi and Wang, Jingya},
  title = {OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/f376f5dff6f6ec6364aea7a46ab49574-Paper-Conference.pdf}
}

@inproceedings{sgxiaoOpenworldsamExtendingSam22026,
  author = {Xiao, Shiting and Kabra, Rishabh and Li, Yuhang and Lee, Donghyun and Carreira, Joao and Panda, Priyadarshini},
  title = {OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://neurips.cc/virtual/2025/poster/116847}
}

@inproceedings{rwangResanythingAttributePrompting2026,
  author = {Wang, R and Zhang, H and others},
  title = {Resanything: Attribute prompting for arbitrary referring segmentation},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@article{huangSamr1LeveragingSam2026,
  author = {Huang, Jiaqi and Xu, Zunnan and Zhou, Jun and Liu, Ting and Xiao, Yicheng and Ou, Mingwen and Ji, Bowen and Li, Xiu and Yuan, Kehong},
  title = {SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning},
  journal = {arXiv preprint arXiv:2505.22596},
  year = {2025},
  url = {https://arxiv.org/abs/2505.22596}
}

@inproceedings{sunSamaMultiturnReferential2026,
  author = {Sun, Ye and Zhang, Hao and Ding, Henghui and Zhang, Tiehua and Ma, Xingjun and Jiang, Yu-Gang},
  title = {SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://nips.cc/virtual/2025/poster/117034}
}

@inproceedings{huangSurprise3dDatasetSpatial2026,
  author = {Huang, Jiaxin and Li, Ziwen and Zhang, Hanlue and Chen, Runnan and Gao, Zhengqing and He, Xiao and Guo, Yandong and Wang, Wenping and Liu, Tongliang and Gong, Mingming},
  title = {SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://neurips.cc/virtual/2025/loc/san-diego/poster/121718}
}

@inproceedings{noorimTesttimeAdaptationVisionlanguage2026,
  author = {Noori, Mehrdad and Osowiechi, David and Vargas Hakim, Gustavo Adolfo and Bahri, Ali and Yazdanpanah, Moslem and Dastani, Sahar and Beizaee, Farzad and Ben Ayed, Ismail and Desrosiers, Christian},
  title = {Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/hash/6c5b82193c5d8e6aa5806239676ddc97-Abstract-Conference.html}
}

@inproceedings{liuUnipixelUnifiedObject2026,
  author = {Liu, Ye and Ma, Zongyang and Pu, Junfu and Qi, Zhongang and Wu, Yang and Shan, Ying and Chen, Chang Wen},
  title = {UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS)},
  year = {2025},
  url = {https://arxiv.org/abs/2509.18094}
}

@inproceedings{yangUnleashingPotentialMultimodal2026,
  author = {Yang, Z and Liu, Y and Hancke, G and Lau, R},
  title = {Unleashing the potential of multimodal llms for zero-shot spatio-temporal video grounding},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}

@article{yangRepurposingSAMEfficient2026,
  author = {Yang, X and Gong, X},
  title = {Re-purposing SAM into Efficient Visual Projectors for MLLM-Based Referring Image Segmentation},
  journal = {IEEE Transactions on Multimedia},
  year = {2026}
}

@article{tangVisualPositionPrompt2026,
  author = {Tang, W and Sun, Y and Gu, Q and Li, Z},
  title = {Visual position prompt for mllm based visual grounding},
  journal = {IEEE Transactions on Multimedia},
  year = {2026}
}

@inproceedings{xhanBoostingSegmentAnything2025,
  author = {Han, X and Wei, L and Yu, X and Dou, Z and He, X and Wang, K},
  title = {Boosting segment anything model towards open-vocabulary learning},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{tangCardiffVideoSalient2025,
  author = {Tang, Y and Zhan, G and Yang, L and Liao, Y and Xu, C},
  title = {Cardiff: Video salient object ranking chain of thought reasoning for saliency prediction with diffusion},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {7}
}

@inproceedings{tianChatterboxMultimodalReferring2025,
  author = {Tian, Y and Ma, T and Xie, L and Ye, Q},
  title = {Chatterbox: Multimodal referring and grounding with chain-of-questions},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {7}
}

@inproceedings{wangHierarchicalAlignmentenhancedAdaptive2025,
  author = {Wang, Y and Ding, H and He, S and Jiang, X and Wei, B},
  title = {Hierarchical alignment-enhanced adaptive grounding network for generalized referring expression comprehension},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{yuanInstructionguidedMultigranularitySegmentation2025,
  author = {Yuan, X and Zhou, L and Sun, Z and Zhou, Z and others},
  title = {Instruction-guided multi-granularity segmentation and captioning with large multimodal model},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025}
}

@inproceedings{chenIpdnImageenhancedPrompt2025,
  author = {Chen, Q and Wu, C and Ji, J and Ma, Y and Yang, D and others},
  title = {Ipdn: Image-enhanced prompt decoding network for 3d referring expression segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {2}
}

@inproceedings{wangIterprimeZeroshotReferring2025,
  author = {Wang, Y and Ni, J and Liu, Y and Yuan, C and Tang, Y},
  title = {Iterprime: Zero-shot referring image segmentation with iterative grad-cam refinement and primary word emphasis},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{wangLIBALanguageInstructed2025,
  author = {Wang, Y and Li, YL and ZY, WUE and Wang, S},
  title = {LIBA: Language instructed multi-granularity bridge assistant for 3D visual grounding},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {8}
}

@inproceedings{daiMultitaskVisualGrounding2025,
  author = {Dai, M and Li, J and Zhuang, J and Zhang, X and Yang, W},
  title = {Multi-task visual grounding with coarse-to-fine consistency constraints},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {3}
}

@inproceedings{huangMultimodalLargeLanguage2025,
  author = {Huang, X and Shen, L and Liu, J and Shang, F and Li, H},
  title = {Towards a multimodal large language model with pixel-level insight for biomedicine},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{xzhaoTrainingfreeOpenvocabularySemantic2025,
  author = {Zhao, X and Sheng, D and Tan, Z and Zhao, Z and Gong, T and others},
  title = {Training-free open-vocabulary semantic segmentation via diverse prototype construction and sub-region matching},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39},
  number = {10}
}

@inproceedings{huangUnleashingTemporalspatialReasoning2025,
  author = {Huang, S and Ling, R and Li, H and Hui, T and Tang, Z and Wei, X},
  title = {Unleashing the temporal-spatial reasoning capacity of gpt for training-free audio and language referenced video object segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{huangZoRIDiscriminativeZeroshot2025,
  author = {Huang, S and He, S and Wen, B},
  title = {ZoRI: Towards discriminative zero-shot remote sensing instance segmentation},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  volume = {39}
}

@inproceedings{sduttaAerosegHarnessingSam2025,
  author = {Dutta, S and Vasim, A and Gole, S and others},
  title = {Aeroseg: Harnessing sam for open-vocabulary segmentation in remote sensing images},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{suAnnexeUnifiedAnalyzing2025,
  author = {Su, Y and Wang, Y and Hu, Q and Yang, C},
  title = {Annexe: Unified analyzing, answering, and pixel grounding for egocentric interaction},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{kanguyenCalicoPartfocusedSemantic2025,
  author = {Nguyen, KA and Juvekar, A and Yu, T and others},
  title = {Calico: Part-focused semantic co-segmentation with large vision-language models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{joseDinov2MeetsText2025,
  author = {Jose, C and Moutakanni, T and Kang, D},
  title = {Dinov2 meets text: A unified framework for image-and pixel-level vision-language alignment},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{ckimDistillingSpectralGraph2025,
  author = {Kim, C and Ju, D and Han, W and Yang, MH and others},
  title = {Distilling spectral graph for object-context aware open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zzhaoDPSegDualpromptCost2025,
  author = {Zhao, X and Sheng, D and Tan, Z and Zhao, Z and Gong, T},
  title = {DPSeg: dual-prompt cost volume learning for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{karimiDsvlfsUnifyingLlmdriven2025,
  author = {Karimi, A and Poullis, C and others},
  title = {Dsv-lfs: Unifying llm-driven semantic cues with visual features for robust few-shot segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zwangDualSemanticGuidance2025,
  author = {Wang, Z and Feng, T and Lyu, F and Shang, F and others},
  title = {Dual semantic guidance for open vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{mleeEffectiveSAMCombination2025,
  author = {Lee, M and Cho, S and Lee, J and Yang, S and Choi, H and others},
  title = {Effective SAM combination for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{yangExploringCLIPsDense2025,
  author = {Yang, Z and Meng, Y and Fu, K and Tang, F},
  title = {Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@article{zlai-ofthecomputervisionandpatternrecognitionExploringSimpleOpenvocabulary2025,
  author = {Lai, Z and others},
  title = {Exploring simple open-vocabulary semantic segmentation},
  journal = {Pattern Recognition},
  year = {2025}
}

@inproceedings{wuFlmmGroundingFrozen2025,
  author = {Wu, S and Jin, S and Zhang, W and Xu, L and Liu, W},
  title = {F-lmm: Grounding frozen large multimodal models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{linGlusGloballocalReasoning2025,
  author = {Lin, L and Yu, X and Pang, Z and Wang, Y X},
  title = {Glus: Global-local reasoning unified into a single large language model for video segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zongGroundvTeachingVlms2025,
  author = {Zong, Y and Zhang, Q and An, D and Li, Z and Xu, X},
  title = {Ground-v: Teaching vlms to ground complex instructions in pixels},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{hanGroundingfaceFinegrainedFace2025,
  author = {Han, Y and Zhang, J and Zhu, J and Hou, R and Ji, X},
  title = {Groundingface: Fine-grained face understanding via pixel grounding multimodal large language model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{liuHybridGloballocalRepresentation2025,
  author = {Liu, T and Li, S},
  title = {Hybrid global-local representation with augmented spatial guidance for zero-shot referring image segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{cweiHypersegHybridSegmentation2025,
  author = {Wei, C and Zhong, Y and Tan, H and Liu, Y and Hu, J and others},
  title = {Hyperseg: Hybrid segmentation assistant with fine-grained visual perceiver},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{maaydinItaclipBoostingTrainingfree2025,
  author = {Aydn, MA and Crpar, EM and Abdinli, E and others},
  title = {Itaclip: Boosting training-free semantic segmentation with image, text, and architectural enhancements},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{yliMaskadapterDevilMasks2025,
  author = {Li, Y and Cheng, T and Feng, B and Liu, W and others},
  title = {Mask-adapter: The devil is in the masks for open-vocabulary segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{chenMIMOMedicalVision2025,
  author = {Chen, Y and Xu, D and Huang, Y and Zhan, S},
  title = {MIMO: A medical vision language model with visual referring multimodal input and pixel grounding multimodal output},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{dengMotiongroundedVideoReasoning2025,
  author = {Deng, A and Chen, T and Yu, S and Yang, T},
  title = {Motion-grounded video reasoning: Understanding and perceiving motion at pixel level},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{rongMpgsam2Adapting2025,
  author = {Rong, F and Lan, M and Zhang, Q},
  title = {Mpg-sam 2: Adapting sam 2 with mask priors and global context for referring video object segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{jpiekenbrinckOpensplat3dOpenvocabulary3d2025,
  author = {Piekenbrinck, J and Schmidt, C and others},
  title = {Opensplat3d: Open-vocabulary 3d instance segmentation using gaussian splatting},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{hzhaiPanogsGaussianbasedPanoptic2025,
  author = {Zhai, H and Li, H and Li, Z and Pan, X and He, Y and others},
  title = {Panogs: Gaussian-based panoptic segmentation for 3d open vocabulary scene understanding},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zpengParameterefficientFinetuningHyperspherical2025,
  author = {Peng, Z and Xu, Z and Zeng, Z and Huang, Y and others},
  title = {Parameter-efficient fine-tuning in hyperspherical space for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{sikdarPicazoPixelalignedContrastive2025,
  author = {Sikdar, A and Kishor, A and Kadam, I},
  title = {Picazo: Pixel-aligned contrastive learning for zero-shot domain adaptation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zhuPopenPreferencebasedOptimization2025,
  author = {Zhu, L and Chen, T and Xu, Q and Liu, X and Ji, D},
  title = {Popen: Preference-based optimization and ensemble for lvlm-based reasoning segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{liuReasongrounderLvlmguidedHierarchical2025,
  author = {Liu, Z and Wang, Y and Zheng, S and Pan, T},
  title = {Reasongrounder: Lvlm-guided hierarchical feature splatting for open-vocabulary 3d visual grounding and reasoning},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{qianReasoningAttendTry2025,
  author = {Qian, R and Yin, X and Dou, D and others},
  title = {Reasoning to attend: Try to understand how\textless SEG\textgreater token works},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{wangSam2loveSegmentAnything2025,
  author = {Wang, Y and Xu, H and Liu, Y and Li, J},
  title = {Sam2-love: Segment anything model 2 in language-aided audio-visual scenes},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{cuttanoSamwiseInfusingWisdom2025,
  author = {Cuttano, C and Trivigno, G and Rosi, G},
  title = {Samwise: Infusing wisdom in sam2 for text-driven video segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{rqorbaniSemanticLibraryAdaptation2025,
  author = {Qorbani, R and Villani, G and others},
  title = {Semantic library adaptation: Lora retrieval and fusion for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{yuSeqaffordSequential3d2025,
  author = {Yu, C and Wang, H and Shi, Y and Luo, H and Yang, S},
  title = {Seqafford: Sequential 3d affordance reasoning via multimodal large language model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{grosiShowTellBenchmark2025,
  author = {Rosi, G and Cermelli, F},
  title = {Show or Tell- A Benchmark To Evaluate Visual and Textual Prompts in Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{yliuSteppingOutSimilar2025,
  author = {Liu, Y and Wu, SL and Bai, S and Wang, J and others},
  title = {Stepping out of similar semantic space for open-vocabulary segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{chenTaskawareCrossmodalFeature2025,
  author = {Chen, W and Xu, Z and Xu, R and Wu, S},
  title = {Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{yanTaskPreferenceOptimization2025,
  author = {Yan, Z and Li, Z and He, Y and Wang, C and Li, K and Li, X},
  title = {Task preference optimization: Improving multimodal large language models with vision task alignment},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{gongDevilTemporalToken2025a,
  author = {Gong, S and Zhuge, Y and Zhang, L and Yang, Z},
  title = {The devil is in temporal token: High quality video reasoning segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{liuEfficientFoundationModel2025,
  author = {Liu, Z and Qiao, L and Chu, X and Ma, L},
  title = {Towards efficient foundation model for zero-shot amodal segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zpengUnderstandingFinetuningClip2025,
  author = {Peng, Z and Xu, Z and Zeng, Z and Wen, C and others},
  title = {Understanding fine-tuning clip for open-vocabulary semantic segmentation in hyperbolic space},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{atharVicasDatasetCombining2025,
  author = {Athar, A and Deng, X and Chen, LC},
  title = {Vicas: A dataset for combining holistic and pixel-level video understanding using captions with grounded segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{munasingheVideoglammLargeMultimodal2025,
  author = {Munasinghe, S and Gani, H and Zhu, W and Cao, J},
  title = {Videoglamm: A large multimodal model for pixel-level visual grounding in videos},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{zhangZeroshot4dLidar2025,
  author = {Zhang, Y and Oep, A and Leal-Taix, L},
  title = {Zero-shot 4d lidar panoptic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025}
}

@inproceedings{kliSegearthov3ExploringSam2025,
  author = {Li, K and Zhang, S and Wang, Y and Deng, Y and Wang, Z and others},
  title = {Segearth-ov3: Exploring sam 3 for open-vocabulary semantic segmentation in remote sensing images},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2025}
}

@inproceedings{hanAllOneVisualDescriptionGuided2025,
  author = {Han, Z and Boudjoghra, M El Amine},
  title = {All in One: Visual-Description-Guided Unified Point Cloud Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{oulgerAutovocabularySemanticSegmentation2025,
  author = {Ulger, O and Kulicki, M and Asano, Y and others},
  title = {Auto-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{gejCLIPAdaptedRegiontoTextLearning2025,
  author = {Ge, J and Xie, L and Xie, H},
  title = {CLIP-Adapted Region-to-Text Learning for Generative Open-Vocabulary Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025},
  pages = {24034--24044}
}

@inproceedings{lsunCliperHierarchicallyImproving2025,
  author = {Sun, L and Cao, J and Xie, J and Jiang, X and others},
  title = {Cliper: Hierarchically improving spatial representation of clip for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{dzhangCorrclipReconstructingPatch2025,
  author = {Zhang, D and Liu, F and Tang, Q and others},
  title = {Corrclip: Reconstructing patch correlations in clip for open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{quDictasFrameworkClassgeneralizable2025,
  author = {Qu, Z and Tao, X and Gong, X and Qu, SC and Zhang, X},
  title = {Dictas: A framework for class-generalizable few-shot anomaly segmentation via dictionary lookup},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{sduanDIHCLIPUnleashingDiversity2025,
  author = {Duan, S and Yang, X and Wang, N and others},
  title = {DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{ningEnhancingSpatialReasoning2025,
  author = {Ning, Z and Tian, Z and Shi, S and Lu, G and He, D},
  title = {Enhancing spatial reasoning in multimodal large language models through reasoning-based segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{sjinFeaturePurificationMatters2025,
  author = {Jin, S and Yu, S and Zhang, B and Sun, M and others},
  title = {Feature purification matters: Suppressing outlier propagation for training-free open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{liangFinegrainedSpatiotemporalGrounding2025,
  author = {Liang, S and Zhong, Y and Hu, ZY and Tao, Y},
  title = {Fine-grained spatiotemporal grounding on egocentric videos},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{ybenigmimFlossFreeLunch2025,
  author = {Benigmim, Y and Fahes, M and Vu, TH and others},
  title = {Floss: Free lunch in open-vocabulary semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{huGroundingSuiteMeasuringComplex2025,
  author = {Hu, R and Zhu, L and Zhang, Y and Cheng, T and Liu, L},
  title = {GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{shiyHarnessingVisionFoundation2025,
  author = {Shi, Y and Dong, M and Xu, C},
  title = {Harnessing vision foundation models for high-performance, training-free open vocabulary segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025},
  pages = {23487--23497}
}

@inproceedings{fliImagesNoisyLabels2025,
  author = {Li, F and Wang, X and Wang, X and Zhang, Z and others},
  title = {Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{weiInstructsegUnifyingInstructed2025,
  author = {Wei, C and Zhong, Y and Tan, H and Zeng, Y and Liu, Y},
  title = {Instructseg: Unifying instructed visual segmentation with multi-modal large language models},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{huangInter2FormerDynamicHybrid2025,
  author = {Huang, Y and Chen, L and Ji, J and Cao, L},
  title = {Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{kumarMedvisionllamaLeveragingPretrained2025,
  author = {Kumar, GMK and Chadha, A},
  title = {Medvisionllama: Leveraging pre-trained large language model layers to enhance medical image segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{wangObjectcentricVideoQuestion2025,
  author = {Wang, H and Chen, Q and Yan, C and Cai, J},
  title = {Object-centric video question answering with visual grounding and referring},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{shenOnlineReasoningVideo2025,
  author = {Shen, Y and Liu, B and Li, C and Seenivasan, L},
  title = {Online reasoning video segmentation with just-in-time digital twins},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{mzhouOV3DCGOpenvocabulary3D2025,
  author = {Zhou, M and He, C and Wang, R and Chen, X and others},
  title = {OV3D-CG: Open-vocabulary 3D Instance Segmentation with Contextual Guidance},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{zchiPluginFeedbackSelfadaptive2025,
  author = {Chi, Z and Wu, Y and Gu, L and Liu, H and Wang, Z and others},
  title = {Plug-in feedback self-adaptive attention in clip for training-free open-vocabulary segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{caoReferAnySegmentation2025,
  author = {Cao, S and Wei, Z and Kuen, J and Liu, K and Zhang, L},
  title = {Refer to Any Segmentation Mask Group With Vision-Language Prompts},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{liangReferdinoReferringVideo2025,
  author = {Liang, T and Lin, KY and Tan, C and Zhang, J},
  title = {Referdino: Referring video object segmentation with visual grounding foundations},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{ouyangRegionawareAnchoringMechanism2025,
  author = {Ouyang, S and Niu, Z and Wang, H},
  title = {Region-aware Anchoring Mechanism for Efficient Referring Visual Grounding},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{xxuanReMEDataCentricFramework2025,
  author = {Xuan, X and Deng, Z and Ma, KL and others},
  title = {ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{xhuSPADESpatialawareDenoising2025,
  author = {Hu, X and Qin, K and Duan, G and Li, M and Li, YF and others},
  title = {SPADE: spatial-aware denoising network for open-vocabulary panoptic scene graph generation with long-and local-range context reasoning},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{tlebaillySyntheticCaptionsOpenVocabulary2025,
  author = {Lebailly, T and Veerabadran, V and Kottur, S and others},
  title = {Synthetic Captions for Open-Vocabulary Zero-Shot Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{barsellottilTalkingDinoBridging2025,
  author = {Barsellotti, L and Bianchi, L and Messina, N},
  title = {Talking to dino: Bridging self-supervised vision backbones with language for open-vocabulary segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025},
  pages = {22025--22035}
}

@inproceedings{yingOmnimodalExpressionsReasoning2025,
  author = {Ying, K and Ding, H and Jie, G and Jiang, Y G},
  title = {Towards omnimodal expressions and reasoning in referring audio-visual segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{qchenTrainingFreeClassPurification2025,
  author = {Chen, Q and Yang, L and Chen, Y and Zhao, N and others},
  title = {Training-Free Class Purification for Open-Vocabulary Semantic Segmentation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{yuVeggieInstructionalEditing2025,
  author = {Yu, S and Liu, D and Ma, Z and Hong, Y and Zhou, Y},
  title = {Veggie: Instructional editing and reasoning video concepts with grounded generation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{zhengVillaVideoReasoning2025,
  author = {Zheng, R and Qi, L and Chen, X and Wang, Y},
  title = {Villa: Video reasoning segmentation with large language model},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025}
}

@inproceedings{tstegmullerSimpleFrameworkOpenvocabulary2025,
  author = {Stegmuller, T and Lebailly, T and ukic, N and others},
  title = {A simple framework for open-vocabulary zero-shot segmentation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{liCityAnchorCityscale3D2025,
  author = {Li, J and Wang, H and Chen, J and Liu, Y and Dou, Z and Ma, Y and Yang, S and Li, Y},
  title = {CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs.},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
}

@inproceedings{dukangClassDistributioninducedAttention2025,
  author = {Kang, DU and Kim, H and Chun, SY and others},
  title = {Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{cardielLlmwrapperBlackboxSemanticaware2025,
  author = {Cardiel, A and Zablocki, E and Ramzi, E},
  title = {Llm-wrapper: Black-box semantic-aware adaptation of vision-language models for referring expression comprehension},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
}

@inproceedings{jangMmrLargescaleBenchmark2025,
  author = {Jang, Donggon and Cho, Yucheol and Lee, Suin and Kim, Taehyeon and Kim, Dae-Shik},
  title = {MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://proceedings.iclr.cc/paper_files/paper/2025/hash/a8661ab3440964c27794607f0ea73624-Abstract-Conference.html}
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@inproceedings{adaiOpenyolo3dFast2025,
  author = {Dai, A and Lahoud, J and Cholakkal, H and Anwer, R and others},
  title = {Open-yolo 3d: Towards fast and accurate open-vocabulary 3d instance segmentation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{kchuangReason3dSearchingReasoning2025,
  author = {Huang, KC and Li, X and Qi, L and Yan, S and others},
  title = {Reason3d: Searching and reasoning 3d segmentation via large language model},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{wangSegllmMultiroundReasoning2025,
  author = {Wang, XD and Zhang, S and Li, S and International, K Li -},
  title = {Segllm: Multi-round reasoning segmentation with large language models},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{jzhouSpatialDiscriminabilityCLIP2025,
  author = {Zhou, J and Jiang, J and Zhu, Z},
  title = {Spatial Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
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@inproceedings{mlanText4segReimaginingImage2025,
  author = {Lan, M and Chen, C and Zhou, Y and Xu, J and Ke, Y and others},
  title = {Text4seg: Reimagining image segmentation as text generation},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year = {2025}
}

@article{shihLLMFormerLargeLanguage2025,
  author = {Shi, H and D, Dao S and Cai, J},
  title = {LLMFormer: Large language model for open-vocabulary semantic segmentation},
  journal = {International Journal of Computer Vision},
  year = {2025},
  volume = {133},
  number = {2},
  pages = {742--759}
}

@article{xiaoTemporalEnhancedMultimodalTransformer2025,
  author = {Xiao, C and Cao, Q and Zhong, Y and Zhang, X},
  title = {Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  year = {2025}
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@article{yangSemanticsAlternatingEnhancement2025,
  author = {Yang, J and Zhang, L and Lu, H},
  title = {Semantics alternating enhancement and bidirectional aggregation for referring video object segmentation},
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  year = {2025}
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@inproceedings{qianAffordancellmGroundingAffordance2024,
  author = {Qian, S and Chen, W and Bai, M and Zhou, X},
  title = {Affordancellm: Grounding affordance from vision language models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{ssunClipRnnSegment2024,
  author = {Sun, S and Li, R and Torr, P and Gu, X and Li, S and others},
  title = {Clip as rnn: Segment countless visual concepts without training endeavor},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{ybenigmimCollaboratingFoundationModels2024,
  author = {Benigmim, Y and Roy, S and Essid, S and others},
  title = {Collaborating foundation models for domain generalized semantic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{daiCurriculumPointPrompting2024,
  author = {Dai, Q and Yang, S},
  title = {Curriculum point prompting for weakly-supervised referring image segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{luojEmergentOpenvocabularySemantic2024,
  author = {Luo, J and Khandelwal, S and Sigal, L},
  title = {Emergent open-vocabulary semantic segmentation from off-the-shelf vision-language models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  pages = {4029--4040}
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@inproceedings{huangFocsamDelvingDeeply2024,
  author = {Huang, Y and Lan, Z and Cao, L and Lin, X},
  title = {Focsam: Delving deeply into focused objects in segmenting anything},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{kuckrejaGeochatGroundedLarge2024,
  author = {Kuckreja, K and Danish, MS and Naseer, M},
  title = {Geochat: Grounded large vision-language model for remote sensing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
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@inproceedings{rasheedGlammPixelGrounding2024,
  author = {Rasheed, H and Maaz, M and Shaji, S},
  title = {Glamm: Pixel grounding large multimodal model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{zhangGroundhogGroundingLarge2024,
  author = {Zhang, Y and Ma, Z and Gao, X and Shakiah, S},
  title = {Groundhog: Grounding large language models to holistic segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{bousselhamGroundingEverythingEmerging2024,
  author = {Bousselham, W and Petersen, F},
  title = {Grounding everything: Emerging localization properties in vision-language transformers},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{xiaGsvaGeneralizedSegmentation2024,
  author = {Xia, Z and Han, D and Han, Y and Pan, X and Song, S},
  title = {Gsva: Generalized segmentation via multimodal large language models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@article{ywangImagetoimageMatchingFoundation2024,
  author = {Wang, Y and Sun, R and Luo, N and Pan, Y and others},
  title = {Image-to-image matching via foundation models: A new perspective for open-vocabulary semantic segmentation},
  journal = {Pattern Recognition},
  year = {2024}
}

@inproceedings{shenLearningSegmentReferred2024,
  author = {Shen, Y and Wang, H and Yang, X and Feiszli, M},
  title = {Learning to segment referred objects from narrated egocentric videos},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{xlaiLisaReasoningSegmentation2024,
  author = {Lai, X and Tian, Z and Chen, Y and Li, Y and Yuan, Y and Liu, S and Jia, J},
  title = {Lisa: Reasoning segmentation via large language model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{jwangLlmsegBridgingImage2024,
  author = {Wang, J and Ke, L},
  title = {Llm-seg: Bridging image segmentation and large language model reasoning},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{chngMaskGroundingReferring2024,
  author = {Chng, YX and Zheng, H and Han, Y and Qiu, X},
  title = {Mask grounding for referring image segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{jianglOpenvocabulary3dSemantic2024,
  author = {Jiang, L and Shi, S and Schiele, B},
  title = {Open-vocabulary 3d semantic segmentation with foundation models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  pages = {21284--21294}
}

@inproceedings{xshanOpenvocabularySemanticSegmentation2024,
  author = {Shan, X and Wu, D and Zhu, G and Shao, Y},
  title = {Open-vocabulary semantic segmentation with image embedding balancing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{yuanOspreyPixelUnderstanding2024,
  author = {Yuan, Y and Li, W and Liu, J and Tang, D and Luo, X},
  title = {Osprey: Pixel understanding with visual instruction tuning},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{xuPixelalignedLanguageModel2024,
  author = {Xu, J and Zhou, X and Yan, S and Gu, X and Arnab, A},
  title = {Pixel-aligned language model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{renPixellmPixelReasoning2024,
  author = {Ren, Z and Huang, Z and Wei, Y and Zhao, Y and Fu, D},
  title = {Pixellm: Pixel reasoning with large multimodal model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{cshangPromptdrivenReferringImage2024,
  author = {Shang, C and Song, Z and Qiu, H and Wang, L and others},
  title = {Prompt-driven referring image segmentation with instance contrasting},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{yyinSai3dSegmentAny2024,
  author = {Yin, Y and Liu, Y and Xiao, Y and Cohen-Or, D and others},
  title = {Sai3d: Segment any instance in 3d scenes},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{wuSeeSaySegment2024,
  author = {Wu, T H and Biamby, G and Chan, D and Dunlap, L},
  title = {See say and segment: Teaching lmms to overcome false premises},
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  year = {2024}
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@inproceedings{jxuTransferablePrincipledEfficiency2024,
  author = {Xu, J and Chen, W and Zhao, Y and Wei, Y and others},
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  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{yangUnifiedLanguagedrivenZeroshot2024,
  author = {Yang, S and Tian, Z and Jiang, L and Jia, J},
  title = {Unified language-driven zero-shot domain adaptation},
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  year = {2024}
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@inproceedings{wwangUnveilingPartsObjects2024,
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  title = {Unveiling parts beyond objects: Towards finer-granularity referring expression segmentation},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024}
}

@inproceedings{xwangUseUniversalSegment2024,
  author = {Wang, X and He, W and Xuan, X and Sebastian, C},
  title = {Use: Universal segment embeddings for open-vocabulary image segmentation},
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  year = {2024}
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@inproceedings{huVisualProgramDistillation2024,
  author = {Hu, Y and Stretcu, O and Lu, CT},
  title = {Visual program distillation: Distilling tools and programmatic reasoning into vision-language models},
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  year = {2024}
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@inproceedings{zhangLlavagroundingGroundedVisual2024,
  author = {Zhang, H and Li, H and Li, F and Ren, T and Zou, X and Liu, S},
  title = {Llava-grounding: Grounded visual chat with large multimodal models},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2024}
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@inproceedings{zhaoOpenvocabularyRGBThermalSemantic2024,
  author = {Zhao, G and Huang, J and Yan, X and Wang, Z and Tang, J and Ou, Y},
  title = {Open-vocabulary RGB-Thermal semantic segmentation},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2024}
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@inproceedings{yanVisaReasoningVideo2024,
  author = {Yan, C and Wang, H and Yan, S and Jiang, X and Hu, Y and Kang, G and others},
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  year = {2024}
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@inproceedings{youFerretReferGround2024,
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  year = {2024}
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@inproceedings{pengGroundingMultimodalLarge2024,
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  year = {2024}
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@inproceedings{dhwangOvercomingDomainLimitations2024,
  author = {Hwang, D and Oh, SJ and Choe, J},
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  year = {2024}
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@inproceedings{yangBoostingWeaklySupervised2024,
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  year = {2024}
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@inproceedings{shindoDeisamSegmentAnything2024,
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  year = {2024}
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@inproceedings{zhengInstructionguidedVisualMasking2024,
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  year = {2024}
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@inproceedings{zhangOmgllavaBridgingImagelevel2024,
  author = {Zhang, T and Li, X and Fei, H and Yuan, H and others},
  title = {Omg-llava: Bridging image-level, object-level, pixel-level reasoning and understanding},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
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@inproceedings{baiOneTokenSeg2024,
  author = {Bai, Z and He, T and Mei, H and Wang, P and in, Z Gao and others},
  title = {One token to seg them all: Language instructed reasoning segmentation in videos},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
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@inproceedings{xiaoOnerefUnifiedOnetower2024,
  author = {Xiao, L and Yang, X and Peng, F and Wang, Y},
  title = {Oneref: Unified one-tower expression grounding and segmentation with mask referring modeling},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
}

@inproceedings{choudhuriOwviscaptorAbstractorsOpenworld2024,
  author = {Choudhuri, A and Chowdhary, G},
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  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
}

@inproceedings{hhuangRenovatingNamesOpenvocabulary2024,
  author = {Huang, H and Peng, S and Zhang, D},
  title = {Renovating names in open-vocabulary segmentation benchmarks},
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  year = {2024}
}

@inproceedings{fzhuFlexibleVisualRelationship2024,
  author = {Zhu, F and Yang, J and Jiang, H},
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  year = {2024}
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@inproceedings{shinhOpenvocabularySemanticSegmentation2024,
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  year = {2024},
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@inproceedings{feiVitronUnifiedPixellevel2024,
  author = {Fei, H and Wu, S and Zhang, H and Chua, TS},
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  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
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@inproceedings{zwangXmask3dCrossmodalMask2024,
  author = {Wang, Z and Wang, Y and Yu, X and Zhou, J},
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  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024}
}

@article{panPurifyThenGuide2024,
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