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QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation | 15 | cvpr | 10 | 7 | 2023-06-03 15:11:12.139000 | https://github.com/sapphire497/query-selected-attention | 58 | QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation | https://scholar.google.com/scholar?cluster=14517662462895397737&hl=en&as_sdt=0,19 | 4 | 2,022 |
Object-Aware Video-Language Pre-Training for Retrieval | 38 | cvpr | 2 | 2 | 2023-06-03 15:11:12.334000 | https://github.com/FingerRec/OA-Transformer | 56 | Object-aware video-language pre-training for retrieval | https://scholar.google.com/scholar?cluster=3612334662404575783&hl=en&as_sdt=0,23 | 5 | 2,022 |
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception | 3 | cvpr | 2 | 3 | 2023-06-03 15:11:12.528000 | https://github.com/hustvl/azinorm | 52 | Azinorm: Exploiting the radial symmetry of point cloud for azimuth-normalized 3d perception | https://scholar.google.com/scholar?cluster=17891238883434683826&hl=en&as_sdt=0,24 | 9 | 2,022 |
End-to-End Multi-Person Pose Estimation With Transformers | 22 | cvpr | 10 | 21 | 2023-06-03 15:11:12.723000 | https://github.com/hikvision-research/opera | 105 | End-to-end multi-person pose estimation with transformers | https://scholar.google.com/scholar?cluster=9055383074551993802&hl=en&as_sdt=0,5 | 5 | 2,022 |
Surface Reconstruction From Point Clouds by Learning Predictive Context Priors | 14 | cvpr | 26 | 6 | 2023-06-03 15:11:12.916000 | https://github.com/mabaorui/predictablecontextprior | 147 | Surface reconstruction from point clouds by learning predictive context priors | https://scholar.google.com/scholar?cluster=8429996318459430707&hl=en&as_sdt=0,11 | 12 | 2,022 |
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection | 1 | cvpr | 2 | 0 | 2023-06-03 15:11:13.112000 | https://github.com/xudangliatiger/ape-loss | 17 | Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection | https://scholar.google.com/scholar?cluster=8362901440504014468&hl=en&as_sdt=0,37 | 2 | 2,022 |
Parametric Scattering Networks | 8 | cvpr | 3 | 1 | 2023-06-03 15:11:13.307000 | https://github.com/bentherien/ParametricScatteringNetworks | 19 | Parametric scattering networks | https://scholar.google.com/scholar?cluster=8228401933277258066&hl=en&as_sdt=0,44 | 3 | 2,022 |
3DeformRS: Certifying Spatial Deformations on Point Clouds | 4 | cvpr | 0 | 0 | 2023-06-03 15:11:13.501000 | https://github.com/gaperezsa/3deformrs | 7 | 3deformrs: Certifying spatial deformations on point clouds | https://scholar.google.com/scholar?cluster=11736963952581582642&hl=en&as_sdt=0,33 | 2 | 2,022 |
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints To Better Classify Objects in Videos | 1 | cvpr | 0 | 0 | 2023-06-03 15:11:13.695000 | https://github.com/sukjunhwang/set_classifier | 10 | Cannot see the forest for the trees: Aggregating multiple viewpoints to better classify objects in videos | https://scholar.google.com/scholar?cluster=6793993206629715589&hl=en&as_sdt=0,33 | 1 | 2,022 |
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection | 60 | cvpr | 37 | 15 | 2023-06-03 15:11:13.892000 | https://github.com/ChenhongyiYang/QueryDet-PyTorch | 331 | Querydet: Cascaded sparse query for accelerating high-resolution small object detection | https://scholar.google.com/scholar?cluster=10062072141692223467&hl=en&as_sdt=0,5 | 5 | 2,022 |
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning | 23 | cvpr | 17 | 11 | 2023-06-03 15:11:14.086000 | https://github.com/zhihou7/batchformer | 210 | Batchformer: Learning to explore sample relationships for robust representation learning | https://scholar.google.com/scholar?cluster=5463271069505253831&hl=en&as_sdt=0,39 | 6 | 2,022 |
BEHAVE: Dataset and Method for Tracking Human Object Interactions | 37 | cvpr | 5 | 1 | 2023-06-03 15:11:14.280000 | https://github.com/xiexh20/behave-dataset | 91 | Behave: Dataset and method for tracking human object interactions | https://scholar.google.com/scholar?cluster=4342080892167060274&hl=en&as_sdt=0,44 | 4 | 2,022 |
Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation | 12 | cvpr | 21 | 0 | 2023-06-03 15:11:14.474000 | https://github.com/drprojects/deepviewagg | 190 | Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation | https://scholar.google.com/scholar?cluster=9792934371946072434&hl=en&as_sdt=0,5 | 10 | 2,022 |
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation | 15 | cvpr | 7 | 8 | 2023-06-03 15:11:14.668000 | https://github.com/megvii-research/treeenergyloss | 89 | Tree energy loss: Towards sparsely annotated semantic segmentation | https://scholar.google.com/scholar?cluster=2731242151515492345&hl=en&as_sdt=0,22 | 3 | 2,022 |
Align and Prompt: Video-and-Language Pre-Training With Entity Prompts | 59 | cvpr | 17 | 3 | 2023-06-03 15:11:14.862000 | https://github.com/salesforce/alpro | 154 | Align and prompt: Video-and-language pre-training with entity prompts | https://scholar.google.com/scholar?cluster=6820441926009627924&hl=en&as_sdt=0,33 | 7 | 2,022 |
Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal | 8 | cvpr | 1 | 2 | 2023-06-03 15:11:15.056000 | https://github.com/huayuuu/pdi2a-cvpr2022 | 9 | Physically disentangled intra-and inter-domain adaptation for varicolored haze removal | https://scholar.google.com/scholar?cluster=10179998555559623646&hl=en&as_sdt=0,33 | 3 | 2,022 |
Grounding Answers for Visual Questions Asked by Visually Impaired People | 12 | cvpr | 0 | 0 | 2023-06-03 15:11:15.250000 | https://github.com/ccychongyanchen/vizwizvqagroundingcrowdsourcing | 2 | Grounding answers for visual questions asked by visually impaired people | https://scholar.google.com/scholar?cluster=4669087414208305470&hl=en&as_sdt=0,5 | 1 | 2,022 |
Representation Compensation Networks for Continual Semantic Segmentation | 24 | cvpr | 10 | 3 | 2023-06-03 15:11:15.444000 | https://github.com/zhangchbin/rcil | 83 | Representation compensation networks for continual semantic segmentation | https://scholar.google.com/scholar?cluster=11771024087882660153&hl=en&as_sdt=0,15 | 6 | 2,022 |
HyperInverter: Improving StyleGAN Inversion via Hypernetwork | 48 | cvpr | 11 | 4 | 2023-06-03 15:11:15.638000 | https://github.com/VinAIResearch/HyperInverter | 96 | Hyperinverter: Improving stylegan inversion via hypernetwork | https://scholar.google.com/scholar?cluster=14781112251673612176&hl=en&as_sdt=0,5 | 4 | 2,022 |
Cross Modal Retrieval With Querybank Normalisation | 27 | cvpr | 2 | 0 | 2023-06-03 15:11:15.832000 | https://github.com/ioanacroi/qb-norm | 45 | Cross modal retrieval with querybank normalisation | https://scholar.google.com/scholar?cluster=15468839386400527047&hl=en&as_sdt=0,18 | 3 | 2,022 |
Learning To Solve Hard Minimal Problems | 15 | cvpr | 15 | 5 | 2023-06-03 15:11:16.026000 | https://github.com/petrhruby97/learning_minimal | 137 | Learning to solve hard minimal problems | https://scholar.google.com/scholar?cluster=11913159081706253526&hl=en&as_sdt=0,5 | 6 | 2,022 |
Dataset Distillation by Matching Training Trajectories | 71 | cvpr | 38 | 12 | 2023-06-03 15:11:16.221000 | https://github.com/georgecazenavette/mtt-distillation | 294 | Dataset distillation by matching training trajectories | https://scholar.google.com/scholar?cluster=13091100064813132171&hl=en&as_sdt=0,43 | 8 | 2,022 |
VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning | 49 | cvpr | 41 | 4 | 2023-06-03 15:11:16.422000 | https://github.com/Vision-CAIR/VisualGPT | 253 | Visualgpt: Data-efficient adaptation of pretrained language models for image captioning | https://scholar.google.com/scholar?cluster=15606514929492571666&hl=en&as_sdt=0,5 | 12 | 2,022 |
Hire-MLP: Vision MLP via Hierarchical Rearrangement | 50 | cvpr | 3 | 2 | 2023-06-03 15:11:16.616000 | https://github.com/ggjy/Hire-Wave-MLP.pytorch | 31 | Hire-mlp: Vision mlp via hierarchical rearrangement | https://scholar.google.com/scholar?cluster=17492654469175814635&hl=en&as_sdt=0,26 | 1 | 2,022 |
Forward Compatible Few-Shot Class-Incremental Learning | 50 | cvpr | 22 | 0 | 2023-06-03 15:11:16.811000 | https://github.com/zhoudw-zdw/cvpr22-fact | 76 | Forward compatible few-shot class-incremental learning | https://scholar.google.com/scholar?cluster=12196932409258641037&hl=en&as_sdt=0,23 | 1 | 2,022 |
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation | 14 | cvpr | 10 | 2 | 2023-06-03 15:11:17.006000 | https://github.com/rpng/suo_slam | 113 | Symmetry and uncertainty-aware object SLAM for 6DoF object pose estimation | https://scholar.google.com/scholar?cluster=15700441079704915036&hl=en&as_sdt=0,5 | 11 | 2,022 |
Towards Implicit Text-Guided 3D Shape Generation | 32 | cvpr | 7 | 4 | 2023-06-03 15:11:17.200000 | https://github.com/liuzhengzhe/towards-implicit-text-guided-shape-generation | 65 | Towards implicit text-guided 3d shape generation | https://scholar.google.com/scholar?cluster=8575693710278496357&hl=en&as_sdt=0,34 | 6 | 2,022 |
MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions | 20 | cvpr | 2 | 0 | 2023-06-03 15:11:17.395000 | https://github.com/Soldelli/MAD | 93 | Mad: A scalable dataset for language grounding in videos from movie audio descriptions | https://scholar.google.com/scholar?cluster=8414164954934852684&hl=en&as_sdt=0,47 | 8 | 2,022 |
Learning To Recognize Procedural Activities With Distant Supervision | 24 | cvpr | 3 | 3 | 2023-06-03 15:11:17.589000 | https://github.com/facebookresearch/video-distant-supervision | 33 | Learning to recognize procedural activities with distant supervision | https://scholar.google.com/scholar?cluster=15863923512848354874&hl=en&as_sdt=0,5 | 5 | 2,022 |
Weakly Supervised Rotation-Invariant Aerial Object Detection Network | 11 | cvpr | 0 | 12 | 2023-06-03 15:11:17.783000 | https://github.com/xiaoxfeng/rinet | 23 | Weakly supervised rotation-invariant aerial object detection network | https://scholar.google.com/scholar?cluster=113609856048887940&hl=en&as_sdt=0,21 | 3 | 2,022 |
CellTypeGraph: A New Geometric Computer Vision Benchmark | 0 | cvpr | 0 | 0 | 2023-06-03 15:11:17.977000 | https://github.com/hci-unihd/plant-celltype | 0 | CellTypeGraph: A New Geometric Computer Vision Benchmark | https://scholar.google.com/scholar?cluster=8014091386846368210&hl=en&as_sdt=0,10 | 1 | 2,022 |
Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation | 3 | cvpr | 1 | 0 | 2023-06-03 15:11:18.171000 | https://github.com/wangbo-zhao/2022cvpr-mmmmtbvs | 13 | Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation | https://scholar.google.com/scholar?cluster=8613868801694252953&hl=en&as_sdt=0,5 | 4 | 2,022 |
Clustering Plotted Data by Image Segmentation | 0 | cvpr | 2 | 0 | 2023-06-03 15:11:18.365000 | https://github.com/tareknaous/visual-clustering | 23 | Clustering Plotted Data by Image Segmentation | https://scholar.google.com/scholar?cluster=10570301673869618107&hl=en&as_sdt=0,22 | 2 | 2,022 |
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method | 4 | cvpr | 0 | 1 | 2023-06-03 15:11:18.559000 | https://github.com/leafy-lee/E-commercial-dataset | 6 | Does text attract attention on e-commerce images: A novel saliency prediction dataset and method | https://scholar.google.com/scholar?cluster=1686138418539189344&hl=en&as_sdt=0,24 | 2 | 2,022 |
Finding Badly Drawn Bunnies | 2 | cvpr | 0 | 0 | 2023-06-03 15:11:18.763000 | https://github.com/yanglan0225/SketchX-Quantifying-Sketch-Quality | 0 | Finding Badly Drawn Bunnies | https://scholar.google.com/scholar?cluster=1940515327150977628&hl=en&as_sdt=0,9 | 1 | 2,022 |
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding | 10 | cvpr | 6 | 3 | 2023-06-03 15:11:18.961000 | https://github.com/SUTDCV/Animal-Kingdom | 61 | Animal kingdom: A large and diverse dataset for animal behavior understanding | https://scholar.google.com/scholar?cluster=10308328840642657146&hl=en&as_sdt=0,45 | 5 | 2,022 |
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction | 9 | cvpr | 6 | 0 | 2023-06-03 15:11:19.169000 | https://github.com/ShivamDuggal4/TARS3D | 73 | Topologically-aware deformation fields for single-view 3D reconstruction | https://scholar.google.com/scholar?cluster=14199759879009906149&hl=en&as_sdt=0,5 | 5 | 2,022 |
Transforming Model Prediction for Tracking | 58 | cvpr | 577 | 55 | 2023-06-03 15:11:19.372000 | https://github.com/visionml/pytracking | 2,783 | Transforming model prediction for tracking | https://scholar.google.com/scholar?cluster=10187246864084975926&hl=en&as_sdt=0,5 | 90 | 2,022 |
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling | 24 | cvpr | 5 | 6 | 2023-06-03 15:11:19.567000 | https://github.com/hbdat/cvpr22_cross_modal_pseudo_labeling | 35 | Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling | https://scholar.google.com/scholar?cluster=14556078157971376175&hl=en&as_sdt=0,33 | 3 | 2,022 |
ScaleNet: A Shallow Architecture for Scale Estimation | 7 | cvpr | 0 | 1 | 2023-06-03 15:11:19.761000 | https://github.com/axelbarroso/scalenet | 41 | ScaleNet: A Shallow Architecture for Scale Estimation | https://scholar.google.com/scholar?cluster=8424038844973851199&hl=en&as_sdt=0,5 | 4 | 2,022 |
EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation | 33 | cvpr | 101 | 42 | 2023-06-03 15:11:19.955000 | https://github.com/tjiiv-cprg/epro-pnp | 918 | Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation | https://scholar.google.com/scholar?cluster=11247035745945214455&hl=en&as_sdt=0,5 | 14 | 2,022 |
Bounded Adversarial Attack on Deep Content Features | 2 | cvpr | 0 | 0 | 2023-06-03 15:11:20.149000 | https://github.com/qiulingxu/d2b | 7 | Bounded Adversarial Attack on Deep Content Features | https://scholar.google.com/scholar?cluster=9624388745955287603&hl=en&as_sdt=0,5 | 2 | 2,022 |
Generating Diverse and Natural 3D Human Motions From Text | 50 | cvpr | 23 | 7 | 2023-06-03 15:11:20.344000 | https://github.com/EricGuo5513/text-to-motion | 240 | Generating diverse and natural 3d human motions from text | https://scholar.google.com/scholar?cluster=16675508405550857870&hl=en&as_sdt=0,14 | 8 | 2,022 |
Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization | 26 | cvpr | 6 | 0 | 2023-06-03 15:11:20.538000 | https://github.com/mengyuanchen21/cvpr2022-ftcl | 34 | Fine-grained temporal contrastive learning for weakly-supervised temporal action localization | https://scholar.google.com/scholar?cluster=10330161142886546867&hl=en&as_sdt=0,5 | 1 | 2,022 |
Semi-Supervised Semantic Segmentation With Error Localization Network | 22 | cvpr | 2 | 0 | 2023-06-03 15:11:20.732000 | https://github.com/kinux98/SSL_ELN | 31 | Semi-supervised semantic segmentation with error localization network | https://scholar.google.com/scholar?cluster=9646327588389678444&hl=en&as_sdt=0,5 | 0 | 2,022 |
Self-Supervised Keypoint Discovery in Behavioral Videos | 11 | cvpr | 5 | 1 | 2023-06-03 15:11:20.926000 | https://github.com/neuroethology/bkind | 28 | Self-supervised keypoint discovery in behavioral videos | https://scholar.google.com/scholar?cluster=4049771218934132755&hl=en&as_sdt=0,5 | 1 | 2,022 |
Anomaly Detection via Reverse Distillation From One-Class Embedding | 65 | cvpr | 14 | 10 | 2023-06-03 15:11:21.121000 | https://github.com/hq-deng/RD4AD | 105 | Anomaly detection via reverse distillation from one-class embedding | https://scholar.google.com/scholar?cluster=1619880648717969759&hl=en&as_sdt=0,5 | 1 | 2,022 |
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning | 17 | cvpr | 5 | 4 | 2023-06-03 15:11:21.315000 | https://github.com/yujun-shi/cwd | 29 | Mimicking the oracle: an initial phase decorrelation approach for class incremental learning | https://scholar.google.com/scholar?cluster=9500075217247674212&hl=en&as_sdt=0,39 | 2 | 2,022 |
Fine-Grained Object Classification via Self-Supervised Pose Alignment | 8 | cvpr | 8 | 2 | 2023-06-03 15:11:21.513000 | https://github.com/yangxh11/p2p-net | 11 | Fine-grained object classification via self-supervised pose alignment | https://scholar.google.com/scholar?cluster=17823640387451848288&hl=en&as_sdt=0,22 | 2 | 2,022 |
Robust Image Forgery Detection Over Online Social Network Shared Images | 13 | cvpr | 15 | 3 | 2023-06-03 15:11:21.708000 | https://github.com/highwaywu/imageforensicsosn | 59 | Robust image forgery detection over online social network shared images | https://scholar.google.com/scholar?cluster=461741873970320663&hl=en&as_sdt=0,5 | 2 | 2,022 |
Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association | 3 | cvpr | 2 | 0 | 2023-06-03 15:11:21.902000 | https://github.com/ruizehan/dmha | 4 | Connecting the complementary-view videos: joint camera identification and subject association | https://scholar.google.com/scholar?cluster=12084710914271153563&hl=en&as_sdt=0,5 | 2 | 2,022 |
Text2Mesh: Text-Driven Neural Stylization for Meshes | 107 | cvpr | 106 | 19 | 2023-06-03 15:11:22.096000 | https://github.com/threedle/text2mesh | 807 | Text2mesh: Text-driven neural stylization for meshes | https://scholar.google.com/scholar?cluster=15584170954771362381&hl=en&as_sdt=0,33 | 22 | 2,022 |
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition | 1 | cvpr | 3 | 2 | 2023-06-03 15:11:22.290000 | https://github.com/Vision-CAIR/RelTransformer | 25 | RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition | https://scholar.google.com/scholar?cluster=646768930427188436&hl=en&as_sdt=0,5 | 4 | 2,022 |
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps | 4 | cvpr | 6 | 0 | 2023-06-03 15:11:22.484000 | https://github.com/kguo-cs/tdor | 44 | End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps | https://scholar.google.com/scholar?cluster=15193013313739918653&hl=en&as_sdt=0,5 | 1 | 2,022 |
FWD: Real-Time Novel View Synthesis With Forward Warping and Depth | 11 | cvpr | 4 | 0 | 2023-06-03 15:11:22.678000 | https://github.com/caoang327/fwd_code | 48 | FWD: Real-time Novel View Synthesis with Forward Warping and Depth | https://scholar.google.com/scholar?cluster=7308540082301250363&hl=en&as_sdt=0,5 | 4 | 2,022 |
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation | 21 | cvpr | 7 | 2 | 2023-06-03 15:11:22.872000 | https://github.com/leonhlj/rskp | 37 | Weakly supervised temporal action localization via representative snippet knowledge propagation | https://scholar.google.com/scholar?cluster=726122753819898575&hl=en&as_sdt=0,5 | 0 | 2,022 |
E2EC: An End-to-End Contour-Based Method for High-Quality High-Speed Instance Segmentation | 14 | cvpr | 39 | 2 | 2023-06-03 15:11:23.067000 | https://github.com/zhang-tao-whu/e2ec | 170 | E2ec: An end-to-end contour-based method for high-quality high-speed instance segmentation | https://scholar.google.com/scholar?cluster=11299120623399261857&hl=en&as_sdt=0,33 | 11 | 2,022 |
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection | 22 | cvpr | 3 | 4 | 2023-06-03 15:11:23.261000 | https://github.com/ahaliassos/RealForensics | 30 | Leveraging real talking faces via self-supervision for robust forgery detection | https://scholar.google.com/scholar?cluster=1775977373440976785&hl=en&as_sdt=0,33 | 3 | 2,022 |
HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging | 29 | cvpr | 70 | 0 | 2023-06-03 15:11:23.455000 | https://github.com/caiyuanhao1998/MST | 383 | Hdnet: High-resolution dual-domain learning for spectral compressive imaging | https://scholar.google.com/scholar?cluster=12878162031636014383&hl=en&as_sdt=0,21 | 6 | 2,022 |
Self-Supervised Image-Specific Prototype Exploration for Weakly Supervised Semantic Segmentation | 26 | cvpr | 9 | 3 | 2023-06-03 15:11:23.649000 | https://github.com/chenqi1126/sipe | 61 | Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=1564943123188101109&hl=en&as_sdt=0,33 | 2 | 2,022 |
Embracing Single Stride 3D Object Detector With Sparse Transformer | 86 | cvpr | 57 | 11 | 2023-06-03 15:11:23.843000 | https://github.com/tusimple/sst | 495 | Embracing single stride 3d object detector with sparse transformer | https://scholar.google.com/scholar?cluster=5426394606047885053&hl=en&as_sdt=0,33 | 16 | 2,022 |
Clothes-Changing Person Re-Identification With RGB Modality Only | 32 | cvpr | 13 | 0 | 2023-06-03 15:11:24.037000 | https://github.com/guxinqian/simple-ccreid | 88 | Clothes-changing person re-identification with RGB modality only | https://scholar.google.com/scholar?cluster=12056992038637931655&hl=en&as_sdt=0,5 | 6 | 2,022 |
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance | 6 | cvpr | 5 | 2 | 2023-06-03 15:11:24.231000 | https://github.com/megvii-research/pcb | 32 | Relieving long-tailed instance segmentation via pairwise class balance | https://scholar.google.com/scholar?cluster=2220206009039188533&hl=en&as_sdt=0,33 | 6 | 2,022 |
Weakly Supervised Object Localization As Domain Adaption | 9 | cvpr | 9 | 8 | 2023-06-03 15:11:24.432000 | https://github.com/zh460045050/da-wsol_cvpr2022 | 45 | Weakly supervised object localization as domain adaption | https://scholar.google.com/scholar?cluster=2600801820537187981&hl=en&as_sdt=0,1 | 2 | 2,022 |
Chitransformer: Towards Reliable Stereo From Cues | 1 | cvpr | 4 | 5 | 2023-06-03 15:11:24.627000 | https://github.com/isl-cv/chitransformer | 18 | ChiTransformer: Towards Reliable Stereo from Cues | https://scholar.google.com/scholar?cluster=10615531645814342576&hl=en&as_sdt=0,11 | 3 | 2,022 |
3D-Aware Image Synthesis via Learning Structural and Textural Representations | 62 | cvpr | 13 | 5 | 2023-06-03 15:11:24.822000 | https://github.com/genforce/volumegan | 119 | 3d-aware image synthesis via learning structural and textural representations | https://scholar.google.com/scholar?cluster=12063912311085349984&hl=en&as_sdt=0,5 | 16 | 2,022 |
Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification | 38 | cvpr | 9 | 3 | 2023-06-03 15:11:25.016000 | https://github.com/yoonkicho/pplr | 49 | Part-based pseudo label refinement for unsupervised person re-identification | https://scholar.google.com/scholar?cluster=17618561039665370644&hl=en&as_sdt=0,33 | 4 | 2,022 |
OW-DETR: Open-World Detection Transformer | 51 | cvpr | 29 | 28 | 2023-06-03 15:11:25.211000 | https://github.com/akshitac8/ow-detr | 167 | Ow-detr: Open-world detection transformer | https://scholar.google.com/scholar?cluster=5601871542106060008&hl=en&as_sdt=0,43 | 7 | 2,022 |
MatteFormer: Transformer-Based Image Matting via Prior-Tokens | 19 | cvpr | 18 | 13 | 2023-06-03 15:11:25.406000 | https://github.com/webtoon/matteformer | 163 | Matteformer: Transformer-based image matting via prior-tokens | https://scholar.google.com/scholar?cluster=16921043057179614554&hl=en&as_sdt=0,33 | 13 | 2,022 |
Correlation Verification for Image Retrieval | 19 | cvpr | 8 | 7 | 2023-06-03 15:11:25.600000 | https://github.com/sungonce/cvnet | 120 | Correlation verification for image retrieval | https://scholar.google.com/scholar?cluster=2980584558572412452&hl=en&as_sdt=0,33 | 11 | 2,022 |
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer | 27 | cvpr | 229 | 13 | 2023-06-03 15:11:25.794000 | https://github.com/williamyang1991/DualStyleGAN | 1,431 | Pastiche master: exemplar-based high-resolution portrait style transfer | https://scholar.google.com/scholar?cluster=11846236417895763951&hl=en&as_sdt=0,5 | 29 | 2,022 |
Exploring Structure-Aware Transformer Over Interaction Proposals for Human-Object Interaction Detection | 14 | cvpr | 7 | 2 | 2023-06-03 15:11:25.988000 | https://github.com/zyong812/stip | 35 | Exploring structure-aware transformer over interaction proposals for human-object interaction detection | https://scholar.google.com/scholar?cluster=1963693257595361023&hl=en&as_sdt=0,44 | 3 | 2,022 |
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching | 8 | cvpr | 5 | 2 | 2023-06-03 15:11:26.183000 | https://github.com/nicolasdonati/duo-fm | 20 | Deep orientation-aware functional maps: Tackling symmetry issues in shape matching | https://scholar.google.com/scholar?cluster=12388684276488108070&hl=en&as_sdt=0,10 | 2 | 2,022 |
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation | 80 | cvpr | 63 | 4 | 2023-06-03 15:11:26.377000 | https://github.com/Vegetebird/MHFormer | 392 | Mhformer: Multi-hypothesis transformer for 3d human pose estimation | https://scholar.google.com/scholar?cluster=18177167198432349205&hl=en&as_sdt=0,43 | 10 | 2,022 |
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training | 1 | cvpr | 0 | 2 | 2023-06-03 15:11:26.572000 | https://github.com/yihong-97/stict | 9 | Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training | https://scholar.google.com/scholar?cluster=13259195031281612001&hl=en&as_sdt=0,5 | 1 | 2,022 |
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization | 36 | cvpr | 2 | 0 | 2023-06-03 15:11:26.767000 | https://github.com/dteney/collages-dataset | 13 | Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization | https://scholar.google.com/scholar?cluster=1721231897643169077&hl=en&as_sdt=0,23 | 2 | 2,022 |
Robust and Accurate Superquadric Recovery: A Probabilistic Approach | 11 | cvpr | 7 | 0 | 2023-06-03 15:11:26.961000 | https://github.com/bmlklwx/ems-superquadric_fitting | 30 | Robust and accurate superquadric recovery: a probabilistic approach | https://scholar.google.com/scholar?cluster=2984483543173194652&hl=en&as_sdt=0,44 | 4 | 2,022 |
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships | 2 | cvpr | 3 | 1 | 2023-06-03 15:11:27.156000 | https://github.com/bigai-research/vlgae | 20 | Unsupervised vision-language parsing: Seamlessly bridging visual scene graphs with language structures via dependency relationships | https://scholar.google.com/scholar?cluster=12646197136058540206&hl=en&as_sdt=0,5 | 5 | 2,022 |
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities | 14 | cvpr | 0 | 0 | 2023-06-03 15:11:27.349000 | https://github.com/assembly101/assembly101.github.io | 0 | Assembly101: A large-scale multi-view video dataset for understanding procedural activities | https://scholar.google.com/scholar?cluster=16985062727042180828&hl=en&as_sdt=0,5 | 0 | 2,022 |
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation | 24 | cvpr | 12 | 13 | 2023-06-03 15:11:27.542000 | https://github.com/prstrive/unimvsnet | 179 | Rethinking depth estimation for multi-view stereo: A unified representation | https://scholar.google.com/scholar?cluster=17372943946694395522&hl=en&as_sdt=0,44 | 13 | 2,022 |
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning | 6 | cvpr | 0 | 1 | 2023-06-03 15:11:27.736000 | https://github.com/superjohnzhang/qaa | 2 | Query and attention augmentation for knowledge-based explainable reasoning | https://scholar.google.com/scholar?cluster=4154689667310680190&hl=en&as_sdt=0,44 | 0 | 2,022 |
DPICT: Deep Progressive Image Compression Using Trit-Planes | 7 | cvpr | 4 | 3 | 2023-06-03 15:11:27.930000 | https://github.com/jaehanlee-mcl/DPICT | 19 | DPICT: Deep progressive image compression using trit-planes | https://scholar.google.com/scholar?cluster=2664539776570963601&hl=en&as_sdt=0,11 | 2 | 2,022 |
Sparse Instance Activation for Real-Time Instance Segmentation | 30 | cvpr | 66 | 47 | 2023-06-03 15:11:28.124000 | https://github.com/hustvl/sparseinst | 492 | Sparse instance activation for real-time instance segmentation | https://scholar.google.com/scholar?cluster=2803945007747990107&hl=en&as_sdt=0,34 | 15 | 2,022 |
Long-Tailed Recognition via Weight Balancing | 40 | cvpr | 8 | 10 | 2023-06-03 15:11:28.318000 | https://github.com/shadealsha/ltr-weight-balancing | 89 | Long-tailed recognition via weight balancing | https://scholar.google.com/scholar?cluster=356035519616132526&hl=en&as_sdt=0,50 | 3 | 2,022 |
Interactron: Embodied Adaptive Object Detection | 7 | cvpr | 6 | 3 | 2023-06-03 15:11:28.511000 | https://github.com/allenai/interactron | 37 | Interactron: Embodied adaptive object detection | https://scholar.google.com/scholar?cluster=2226951975941177652&hl=en&as_sdt=0,14 | 4 | 2,022 |
Text to Image Generation With Semantic-Spatial Aware GAN | 38 | cvpr | 25 | 10 | 2023-06-03 15:11:28.705000 | https://github.com/wtliao/text2image | 145 | Text to image generation with semantic-spatial aware gan | https://scholar.google.com/scholar?cluster=14150640205241370220&hl=en&as_sdt=0,34 | 4 | 2,022 |
Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection | 7 | cvpr | 4 | 0 | 2023-06-03 15:11:28.899000 | https://github.com/tsingqguo/jadena | 13 | Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection | https://scholar.google.com/scholar?cluster=14325818615867904227&hl=en&as_sdt=0,5 | 2 | 2,022 |
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition | 54 | cvpr | 8 | 8 | 2023-06-03 15:11:29.093000 | https://github.com/facebookresearch/memvit | 111 | Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition | https://scholar.google.com/scholar?cluster=12972864106896201781&hl=en&as_sdt=0,5 | 3 | 2,022 |
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures | 43 | cvpr | 7 | 1 | 2023-06-03 15:11:29.287000 | https://github.com/andyzoujm/pixmix | 87 | Pixmix: Dreamlike pictures comprehensively improve safety measures | https://scholar.google.com/scholar?cluster=4245256336048193979&hl=en&as_sdt=0,37 | 2 | 2,022 |
Learning From Temporal Gradient for Semi-Supervised Action Recognition | 29 | cvpr | 0 | 0 | 2023-06-03 15:11:29.481000 | https://github.com/lambert-x/video-semisup | 22 | Learning from temporal gradient for semi-supervised action recognition | https://scholar.google.com/scholar?cluster=7437324692925065540&hl=en&as_sdt=0,36 | 2 | 2,022 |
Multidimensional Belief Quantification for Label-Efficient Meta-Learning | 2 | cvpr | 0 | 0 | 2023-06-03 15:11:29.674000 | https://github.com/pandeydeep9/units-ml-cvpr-22 | 0 | Multidimensional Belief Quantification for Label-Efficient Meta-Learning | https://scholar.google.com/scholar?cluster=9438698509298365616&hl=en&as_sdt=0,5 | 1 | 2,022 |
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization | 7 | cvpr | 12 | 8 | 2023-06-03 15:11:29.868000 | https://github.com/zzzqzhou/dual-normalization | 64 | Generalizable cross-modality medical image segmentation via style augmentation and dual normalization | https://scholar.google.com/scholar?cluster=17086350682355681270&hl=en&as_sdt=0,5 | 6 | 2,022 |
SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage | 0 | cvpr | 0 | 1 | 2023-06-03 15:11:30.062000 | https://github.com/chineseyjh/softcollage | 2 | SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage | https://scholar.google.com/scholar?cluster=4406629323630144736&hl=en&as_sdt=0,5 | 3 | 2,022 |
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation | 15 | cvpr | 4 | 1 | 2023-06-03 15:11:30.256000 | https://github.com/yiconghong/discrete-continuous-vln | 49 | Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation | https://scholar.google.com/scholar?cluster=7397070476015817841&hl=en&as_sdt=0,5 | 2 | 2,022 |
Interactive Segmentation and Visualization for Tiny Objects in Multi-Megapixel Images | 1 | cvpr | 1 | 2 | 2023-06-03 15:11:30.458000 | https://github.com/cy-xu/cosmic-conn | 21 | Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images | https://scholar.google.com/scholar?cluster=3316866732036438866&hl=en&as_sdt=0,5 | 2 | 2,022 |
A Unified Framework for Implicit Sinkhorn Differentiation | 8 | cvpr | 2 | 1 | 2023-06-03 15:11:30.651000 | https://github.com/marvin-eisenberger/implicit-sinkhorn | 55 | A unified framework for implicit sinkhorn differentiation | https://scholar.google.com/scholar?cluster=1150414225562497871&hl=en&as_sdt=0,11 | 6 | 2,022 |
Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds | 16 | cvpr | 1 | 1 | 2023-06-03 15:11:30.845000 | https://github.com/lity20/dccdif | 44 | Learning deep implicit functions for 3D shapes with dynamic code clouds | https://scholar.google.com/scholar?cluster=2465694364536697059&hl=en&as_sdt=0,47 | 4 | 2,022 |
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning | 79 | cvpr | 64 | 11 | 2023-06-03 15:11:31.038000 | https://github.com/mahmoodlab/hipt | 320 | Scaling vision transformers to gigapixel images via hierarchical self-supervised learning | https://scholar.google.com/scholar?cluster=5125878088803584631&hl=en&as_sdt=0,47 | 6 | 2,022 |
Revisiting Temporal Alignment for Video Restoration | 5 | cvpr | 1 | 3 | 2023-06-03 15:11:31.233000 | https://github.com/redrock303/revisiting-temporal-alignment-for-video-restoration | 63 | Revisiting temporal alignment for video restoration | https://scholar.google.com/scholar?cluster=5475915994061531926&hl=en&as_sdt=0,5 | 9 | 2,022 |
Neural Reflectance for Shape Recovery With Shadow Handling | 15 | cvpr | 2 | 0 | 2023-06-03 15:11:31.439000 | https://github.com/junxuan-li/neural-reflectance-ps | 21 | Neural reflectance for shape recovery with shadow handling | https://scholar.google.com/scholar?cluster=16791493094484768855&hl=en&as_sdt=0,41 | 9 | 2,022 |
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