% Key papers for Visual relationship and scene graph detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2019_learning_14405, title = {{Learning Loss for Active Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2017_visual_12744, title = {{Visual Translation Embedding Network for Visual Relation Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2017_deep_12156, title = {{Deep Learning Human Mind for Automated Visual Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2017_deep_12185, title = {{Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2022_deep_18613, title = {{Deep Hierarchical Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2018_emotional_13066, title = {{Emotional Attention: A Study of Image Sentiment and Visual Attention}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_Emotional_Attention_A_CVPR_2018_paper.html}, } @inproceedings{cvpr2019_spatial_14853, title = {{Spatial-Aware Graph Relation Network for Large-Scale Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{aaai2019_large_103554, title = {{Large-Scale Visual Relationship Understanding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4953}, } @inproceedings{cvpr2020_robust_16137, title = {{Robust Learning Through Cross-Task Consistency}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_exploring_14172, title = {{Exploring Context and Visual Pattern of Relationship for Scene Graph Generation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{aaai2018_visual_104015, title = {{Visual Relationship Detection With Deep Structural Ranking}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12274}, } @inproceedings{cvpr2019_on_14598, title = {{On Exploring Undetermined Relationships for Visual Relationship Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2023_unihcp_22463, title = {{UniHCP: A Unified Model for Human-Centric Perceptions}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22268}, } @inproceedings{cvpr2018_tensorize_13639, title = {{Tensorize, Factorize and Regularize: Robust Visual Relationship Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Hwang_Tensorize_Factorize_and_CVPR_2018_paper.html}, } @inproceedings{aaai2021_planning_1169, title = {{Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/11962-planning-with-learned-object-importance-in-large-problem-instances-using-graph-neural-networks/}, } @inproceedings{aaai2018_deep_104012, title = {{Deep Structured Learning for Visual Relationship Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12271}, } @inproceedings{cvpr2022_learning_19173, title = {{Learning Affordance Grounding From Exocentric Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_learning_19206, title = {{Learning Semantic Associations for Mirror Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2020_relational_103603, title = {{Relational Learning for Joint Head and Human Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6691}, } @inproceedings{cvpr2023_gazeformer_21059, title = {{Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21788}, } @inproceedings{aaai2024_improving_6287, title = {{Improving Audio-Visual Segmentation with Bidirectional Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27978}, } @inproceedings{cvpr2024_learning_23976, title = {{Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31199}, } @inproceedings{aaai2024_gaze_6105, title = {{Gaze Target Detection by Merging Human Attention and Activity Cues}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28480}, } @inproceedings{cvpr2024_advancing_22733, title = {{Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30882}, } @inproceedings{cvpr2025_perceptual_27238, title = {{Perceptual Inductive Bias Is What You Need Before Contrastive Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34336}, } @inproceedings{iclr2025_vision_82894, title = {{Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/28907}, } @inproceedings{neurips2025_object_77064, title = {{Object Concepts Emerge from Motion}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=QFOhUboCvp}, } @inproceedings{iclr2026_temporal_88970, title = {{Temporal Slowness in Central Vision Drives Semantic Object Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=tEezDE0vWt}, } @inproceedings{iclr2024_coco_34264, title = {{COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18811}, } @inproceedings{aaai2026_mingle_108887, title = {{MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/41239}, }