% Key papers for Dense feature matching for correspondence (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2020_superglue_16303, title = {{SuperGlue: Learning Feature Matching With Graph Neural Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2017_deep_12165, title = {{Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2018_csrnet_12889, title = {{CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_CSRNet_Dilated_Convolutional_CVPR_2018_paper.html}, } @inproceedings{cvpr2017_switching_12675, title = {{Switching Convolutional Neural Network for Crowd Counting}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2017_geometric_12313, title = {{Geometric Loss Functions for Camera Pose Regression With Deep Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2018_dynamic_13046, title = {{Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Dynamic_Scene_Deblurring_CVPR_2018_paper.html}, } @inproceedings{cvpr2016_learning_11660, title = {{Learning Dense Correspondence via 3D-Guided Cycle Consistency}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2020_aslfeat_15102, title = {{ASLFeat: Learning Local Features of Accurate Shape and Localization}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{neurips2018_lf_57264, title = {{LF-Net: Learning Local Features from Images}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11604}, } @inproceedings{cvpr2019_planercnn_14645, title = {{PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2016_pairwise_11753, title = {{Pairwise Decomposition of Image Sequences for Active Multi-View Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{neurips2016_combining_55631, title = {{Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7104}, } @inproceedings{cvpr2018_learning_13287, title = {{Learning Intrinsic Image Decomposition From Watching the World}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_Intrinsic_Image_CVPR_2018_paper.html}, } @inproceedings{cvpr2023_dkm_20699, title = {{DKM: Dense Kernelized Feature Matching for Geometry Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22087}, } @inproceedings{cvpr2020_deep_15359, title = {{Deep Homography Estimation for Dynamic Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_wide_15034, title = {{Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2021_learning_17257, title = {{Learning Accurate Dense Correspondences and When To Trust Them}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2020_multi_15923, title = {{Multi-View Neural Human Rendering}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2022_trusted_2888, title = {{Trusted Multi-View Deep Learning with Opinion Aggregation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/07585-trusted-multi-view-deep-learning-with-opinion-aggregation/}, } @inproceedings{cvpr2022_iterative_19112, title = {{Iterative Deep Homography Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2024_view_25237, title = {{View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29345}, } @inproceedings{aaai2024_bclnet_5252, title = {{BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28218}, } @inproceedings{cvpr2024_steerers_24889, title = {{Steerers: A Framework for Rotation Equivariant Keypoint Descriptors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30064}, } @inproceedings{aaai2024_vsformer_7751, title = {{VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28123}, } @inproceedings{cvpr2025_sacb_27491, title = {{SACB-Net: Spatial-awareness Convolutions for Medical Image Registration}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34304}, } @inproceedings{cvpr2024_paramisp_24435, title = {{ParamISP: Learned Forward and Inverse ISPs using Camera Parameters}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29264}, } @inproceedings{cvpr2025_de_25869, title = {{De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34498}, } @inproceedings{cvpr2024_dematch_23118, title = {{DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30487}, } @inproceedings{aaai2024_uvagaze_7674, title = {{UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28159}, } @inproceedings{cvpr2024_global_23630, title = {{Global Latent Neural Rendering}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30744}, } @inproceedings{aaai2025_demo_8646, title = {{DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32622}, } @inproceedings{cvpr2024_fusing_23534, title = {{Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31875}, } @inproceedings{cvpr2024_novel_24305, title = {{Novel View Synthesis with View-Dependent Effects from a Single Image}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31728}, } @inproceedings{cvpr2025_adapting_25435, title = {{Adapting Dense Matching for Homography Estimation with Grid-based Acceleration}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32446}, } @inproceedings{cvpr2025_edm_26056, title = {{EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33724}, } @inproceedings{cvpr2025_rectification_27415, title = {{Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32390}, } @inproceedings{cvpr2024_estimating_23388, title = {{Estimating Extreme 3D Image Rotations using Cascaded Attention}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31586}, } @inproceedings{cvpr2025_scalelsd_27576, title = {{ScaleLSD: Scalable Deep Line Segment Detection Streamlined}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33814}, } @inproceedings{neurips2024_upping_72080, title = {{Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95244}, } @inproceedings{neurips2024_rcdn_74530, title = {{RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93052}, }