% Key papers for Region-level vision-language alignment (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2024_glamm_23551, title = {{GLaMM: Pixel Grounding Large Multimodal Model}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31094}, } @inproceedings{cvpr2018_parallel_13457, title = {{Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhuang_Parallel_Attention_A_CVPR_2018_paper.html}, } @inproceedings{cvpr2022_shifting_19869, title = {{Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2016_visual_11961, title = {{Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{neurips2024_cogvlm_70609, title = {{CogVLM: Visual Expert for Pretrained Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96510}, } @inproceedings{cvpr2021_cyclic_16779, title = {{Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{neurips2022_coarse_65970, title = {{Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54881}, } @inproceedings{aaai2023_mner_4117, title = {{MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25971}, } @inproceedings{cvpr2023_context_20640, title = {{Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22858}, } @inproceedings{cvpr2018_separating_13579, title = {{Separating Self-Expression and Visual Content in Hashtag Supervision}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Veit_Separating_Self-Expression_and_CVPR_2018_paper.html}, } @inproceedings{aaai2024_vision_7774, title = {{Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28559}, } @inproceedings{aaai2021_efficient_501, title = {{Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/02720-efficient-object-level-visual-context-modeling-for-multimodal-machine-translation-masking-irrelevant-objects-helps-grounding/}, } @inproceedings{aaai2019_connecting_103518, title = {{Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4916}, } @inproceedings{aaai2024_weakly_7794, title = {{Weakly Supervised Multimodal Affordance Grounding for Egocentric Images}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28451}, } @inproceedings{cvpr2024_pixel_24470, title = {{Pixel-Aligned Language Model}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31639}, } @inproceedings{neurips2023_pop_68882, title = {{POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70977}, } @inproceedings{cvpr2025_beyond_25577, title = {{Beyond Human Perception: Understanding Multi-Object World from Monocular View}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34458}, } @inproceedings{neurips2024_lexicon3d_70355, title = {{Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96742}, } @inproceedings{cvpr2025_asap_25408, title = {{ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33251}, } @inproceedings{cvpr2025_task_27829, title = {{Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33672}, } @inproceedings{aaai2025_idseq_9488, title = {{IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32029}, } @inproceedings{cvpr2025_annexe_25401, title = {{ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34752}, } @inproceedings{cvpr2025_dynrefer_26035, title = {{DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33204}, } @inproceedings{iclr2024_neurosymbolic_33603, title = {{Neurosymbolic Grounding for Compositional World Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19472}, } @inproceedings{icml2025_unifying_46693, title = {{Unifying 2D and 3D Vision-Language Understanding}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45879}, } @inproceedings{icml2026_referring_55174, title = {{Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=wLE7pnypx2}, } @inproceedings{neurips2024_mmscan_74611, title = {{MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97429}, } @inproceedings{neurips2025_talk2event_78558, title = {{Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=fxERuSBpfQ}, } @inproceedings{cvpr2026_hammer_97609, title = {{HAMMER: Harnessing MLLMs via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yao_HAMMER_Harnessing_MLLMs_via_Cross-Modal_Integration_for_Intention-Driven_3D_Affordance_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_beyond_99488, title = {{Beyond Explicit Language: Plug-and-Play Visual-to-Linguistic Modeling Toward General Object Tracking}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lan_Beyond_Explicit_Language_Plug-and-Play_Visual-to-Linguistic_Modeling_Toward_General_Object_Tracking_CVPR_2026_paper.html}, }