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ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network | 369 | cvpr | 83 | 9 | 2023-06-03 02:18:01.176000 | https://github.com/sacmehta/EdgeNets | 394 | Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network | https://scholar.google.com/scholar?cluster=16963777558588378530&hl=en&as_sdt=0,33 | 21 | 2,019 |
Hybrid Task Cascade for Instance Segmentation | 1,036 | cvpr | 8,690 | 798 | 2023-06-03 02:18:01.378000 | https://github.com/open-mmlab/mmdetection | 24,397 | Hybrid task cascade for instance segmentation | https://scholar.google.com/scholar?cluster=1410244110601279407&hl=en&as_sdt=0,33 | 372 | 2,019 |
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization | 26 | cvpr | 10 | 0 | 2023-06-03 02:18:01.578000 | https://github.com/junbaoZHUO/UODTN | 43 | Unsupervised open domain recognition by semantic discrepancy minimization | https://scholar.google.com/scholar?cluster=16433699674820383702&hl=en&as_sdt=0,33 | 3 | 2,019 |
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition | 335 | cvpr | 40 | 22 | 2023-06-03 02:18:01.778000 | https://github.com/researchmm/tasn | 214 | Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition | https://scholar.google.com/scholar?cluster=17579017795365184505&hl=en&as_sdt=0,33 | 7 | 2,019 |
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud | 1,704 | cvpr | 411 | 141 | 2023-06-03 02:18:01.978000 | https://github.com/sshaoshuai/PointRCNN | 1,595 | Pointrcnn: 3d object proposal generation and detection from point cloud | https://scholar.google.com/scholar?cluster=7703744261736010068&hl=en&as_sdt=0,33 | 33 | 2,019 |
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning | 610 | cvpr | 76 | 13 | 2023-06-03 02:18:02.178000 | https://github.com/MalongTech/research-ms-loss | 462 | Multi-similarity loss with general pair weighting for deep metric learning | https://scholar.google.com/scholar?cluster=16955065946481735055&hl=en&as_sdt=0,33 | 23 | 2,019 |
Class-Balanced Loss Based on Effective Number of Samples | 1,585 | cvpr | 67 | 18 | 2023-06-03 02:18:02.378000 | https://github.com/richardaecn/class-balanced-loss | 564 | Class-balanced loss based on effective number of samples | https://scholar.google.com/scholar?cluster=2548366253851952984&hl=en&as_sdt=0,5 | 20 | 2,019 |
Generative Dual Adversarial Network for Generalized Zero-Shot Learning | 216 | cvpr | 11 | 4 | 2023-06-03 02:18:02.578000 | https://github.com/stevehuanghe/GDAN | 53 | Generative dual adversarial network for generalized zero-shot learning | https://scholar.google.com/scholar?cluster=196772291159062355&hl=en&as_sdt=0,33 | 1 | 2,019 |
Learning to Learn From Noisy Labeled Data | 302 | cvpr | 29 | 8 | 2023-06-03 02:18:02.778000 | https://github.com/LiJunnan1992/MLNT | 116 | Learning to learn from noisy labeled data | https://scholar.google.com/scholar?cluster=357917848207300571&hl=en&as_sdt=0,5 | 6 | 2,019 |
Query-Guided End-To-End Person Search | 120 | cvpr | 6 | 3 | 2023-06-03 02:18:02.978000 | https://github.com/munjalbharti/Query-guided-End-to-End-Person-Search | 68 | Query-guided end-to-end person search | https://scholar.google.com/scholar?cluster=1165933786153172260&hl=en&as_sdt=0,31 | 6 | 2,019 |
Libra R-CNN: Towards Balanced Learning for Object Detection | 1,162 | cvpr | 8,690 | 798 | 2023-06-03 02:18:03.179000 | https://github.com/open-mmlab/mmdetection | 24,397 | Libra r-cnn: Towards balanced learning for object detection | https://scholar.google.com/scholar?cluster=13559955005752027345&hl=en&as_sdt=0,39 | 372 | 2,019 |
Label Propagation for Deep Semi-Supervised Learning | 537 | cvpr | 19 | 2 | 2023-06-03 02:18:03.379000 | https://github.com/ahmetius/LP-DeepSSL | 102 | Label propagation for deep semi-supervised learning | https://scholar.google.com/scholar?cluster=9368555603387579120&hl=en&as_sdt=0,33 | 7 | 2,019 |
Deep Global Generalized Gaussian Networks | 14 | cvpr | 1 | 0 | 2023-06-03 02:18:03.579000 | https://github.com/csqlwang/3G-Net | 6 | Deep global generalized gaussian networks | https://scholar.google.com/scholar?cluster=9845683876306953514&hl=en&as_sdt=0,10 | 3 | 2,019 |
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval | 110 | cvpr | 22 | 4 | 2023-06-03 02:18:03.778000 | https://github.com/AnjanDutta/sem-pcyc | 106 | Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval | https://scholar.google.com/scholar?cluster=12348799218521490025&hl=en&as_sdt=0,5 | 11 | 2,019 |
Bottom-Up Object Detection by Grouping Extreme and Center Points | 884 | cvpr | 171 | 31 | 2023-06-03 02:18:03.978000 | https://github.com/xingyizhou/ExtremeNet | 1,023 | Bottom-up object detection by grouping extreme and center points | https://scholar.google.com/scholar?cluster=18336064849612757553&hl=en&as_sdt=0,33 | 26 | 2,019 |
Context-Aware Crowd Counting | 512 | cvpr | 46 | 2 | 2023-06-03 02:18:04.179000 | https://github.com/weizheliu/Context-Aware-Crowd-Counting | 145 | Context-aware crowd counting | https://scholar.google.com/scholar?cluster=5927348553478395733&hl=en&as_sdt=0,33 | 4 | 2,019 |
Shape Robust Text Detection With Progressive Scale Expansion Network | 466 | cvpr | 345 | 101 | 2023-06-03 02:18:04.379000 | https://github.com/whai362/PSENet | 1,145 | Shape robust text detection with progressive scale expansion network | https://scholar.google.com/scholar?cluster=18151448532266277965&hl=en&as_sdt=0,33 | 56 | 2,019 |
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search | 116 | cvpr | 46,274 | 1,204 | 2023-06-03 02:18:04.578000 | https://github.com/tensorflow/models | 75,883 | Detect-to-retrieve: Efficient regional aggregation for image search | https://scholar.google.com/scholar?cluster=14581235657428193058&hl=en&as_sdt=0,33 | 2,774 | 2,019 |
Dual Encoding for Zero-Example Video Retrieval | 239 | cvpr | 33 | 17 | 2023-06-03 02:18:04.779000 | https://github.com/danieljf24/dual_encoding | 154 | Dual encoding for zero-example video retrieval | https://scholar.google.com/scholar?cluster=16428040265188562035&hl=en&as_sdt=0,33 | 7 | 2,019 |
Towards Accurate One-Stage Object Detection With AP-Loss | 121 | cvpr | 26 | 6 | 2023-06-03 02:18:04.979000 | https://github.com/cccorn/AP-loss | 168 | Towards accurate one-stage object detection with ap-loss | https://scholar.google.com/scholar?cluster=4378389006630715202&hl=en&as_sdt=0,43 | 7 | 2,019 |
Destruction and Construction Learning for Fine-Grained Image Recognition | 366 | cvpr | 155 | 33 | 2023-06-03 02:18:05.179000 | https://github.com/JDAI-CV/DCL | 560 | Destruction and construction learning for fine-grained image recognition | https://scholar.google.com/scholar?cluster=15023579179489900756&hl=en&as_sdt=0,33 | 18 | 2,019 |
Panoptic Segmentation | 1,087 | cvpr | 182 | 41 | 2023-06-03 02:18:05.380000 | https://github.com/cocodataset/panopticapi | 355 | Panoptic segmentation | https://scholar.google.com/scholar?cluster=5074178277454044798&hl=en&as_sdt=0,44 | 11 | 2,019 |
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection | 383 | cvpr | 194 | 71 | 2023-06-03 02:18:05.580000 | https://github.com/liuwei16/CSP | 743 | High-level semantic feature detection: A new perspective for pedestrian detection | https://scholar.google.com/scholar?cluster=17881481840442344449&hl=en&as_sdt=0,33 | 28 | 2,019 |
Explore-Exploit Graph Traversal for Image Retrieval | 34 | cvpr | 10 | 1 | 2023-06-03 02:18:05.780000 | https://github.com/layer6ai-labs/egt | 31 | Explore-exploit graph traversal for image retrieval | https://scholar.google.com/scholar?cluster=4153424755614235693&hl=en&as_sdt=0,33 | 8 | 2,019 |
Ranked List Loss for Deep Metric Learning | 232 | cvpr | 8 | 4 | 2023-06-03 02:18:05.980000 | https://github.com/XinshaoAmosWang/Ranked-List-Loss-for-DML | 61 | Ranked list loss for deep metric learning | https://scholar.google.com/scholar?cluster=12233728284002453426&hl=en&as_sdt=0,21 | 5 | 2,019 |
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction | 65 | cvpr | 25 | 3 | 2023-06-03 02:18:06.180000 | https://github.com/chenhsuanlin/photometric-mesh-optim | 205 | Photometric mesh optimization for video-aligned 3d object reconstruction | https://scholar.google.com/scholar?cluster=4471815922858483977&hl=en&as_sdt=0,31 | 18 | 2,019 |
Guided Stereo Matching | 67 | cvpr | 21 | 2 | 2023-06-03 02:18:06.380000 | https://github.com/mattpoggi/guided-stereo | 106 | Guided stereo matching | https://scholar.google.com/scholar?cluster=15108739186090417114&hl=en&as_sdt=0,10 | 6 | 2,019 |
Precise Detection in Densely Packed Scenes | 138 | cvpr | 172 | 16 | 2023-06-03 02:18:06.579000 | https://github.com/eg4000/SKU110K_CVPR19 | 724 | Precise detection in densely packed scenes | https://scholar.google.com/scholar?cluster=9843821758940633840&hl=en&as_sdt=0,5 | 42 | 2,019 |
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images | 58 | cvpr | 14 | 7 | 2023-06-03 02:18:06.779000 | https://github.com/mibastro/VPE | 52 | Variational prototyping-encoder: One-shot learning with prototypical images | https://scholar.google.com/scholar?cluster=12933387554347957331&hl=en&as_sdt=0,5 | 3 | 2,019 |
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss | 161 | cvpr | 19 | 2 | 2023-06-03 02:18:06.980000 | https://github.com/roysubhankar/dwt-domain-adaptation | 62 | Unsupervised domain adaptation using feature-whitening and consensus loss | https://scholar.google.com/scholar?cluster=15139839283686829540&hl=en&as_sdt=0,5 | 5 | 2,019 |
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation | 368 | cvpr | 46,274 | 1,204 | 2023-06-03 02:18:07.184000 | https://github.com/tensorflow/models | 75,883 | Feelvos: Fast end-to-end embedding learning for video object segmentation | https://scholar.google.com/scholar?cluster=4014880912704688403&hl=en&as_sdt=0,5 | 2,774 | 2,019 |
Fast Interactive Object Annotation With Curve-GCN | 213 | cvpr | 132 | 10 | 2023-06-03 02:18:07.384000 | https://github.com/fidler-lab/curve-gcn | 835 | Fast interactive object annotation with curve-gcn | https://scholar.google.com/scholar?cluster=7580296482516718366&hl=en&as_sdt=0,5 | 39 | 2,019 |
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding | 77 | cvpr | 82 | 10 | 2023-06-03 02:18:07.585000 | https://github.com/svip-lab/PlanarReconstruction | 333 | Single-image piece-wise planar 3d reconstruction via associative embedding | https://scholar.google.com/scholar?cluster=1605501962554659722&hl=en&as_sdt=0,5 | 22 | 2,019 |
RVOS: End-To-End Recurrent Network for Video Object Segmentation | 205 | cvpr | 53 | 24 | 2023-06-03 02:18:07.786000 | https://github.com/imatge-upc/rvos | 274 | Rvos: End-to-end recurrent network for video object segmentation | https://scholar.google.com/scholar?cluster=6872099416296198308&hl=en&as_sdt=0,31 | 17 | 2,019 |
3DN: 3D Deformation Network | 108 | cvpr | 16 | 8 | 2023-06-03 02:18:07.986000 | https://github.com/laughtervv/3DN | 99 | 3dn: 3d deformation network | https://scholar.google.com/scholar?cluster=5142067875695068873&hl=en&as_sdt=0,44 | 10 | 2,019 |
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation | 135 | cvpr | 77 | 25 | 2023-06-03 02:18:08.186000 | https://github.com/sunset1995/HorizonNet | 280 | Horizonnet: Learning room layout with 1d representation and pano stretch data augmentation | https://scholar.google.com/scholar?cluster=17660019163818717413&hl=en&as_sdt=0,44 | 21 | 2,019 |
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation | 77 | cvpr | 7 | 3 | 2023-06-03 02:18:08.386000 | https://github.com/maunzzz/cross-season-segmentation | 40 | A cross-season correspondence dataset for robust semantic segmentation | https://scholar.google.com/scholar?cluster=4745433650118523256&hl=en&as_sdt=0,36 | 4 | 2,019 |
Scene Parsing via Integrated Classification Model and Variance-Based Regularization | 10 | cvpr | 0 | 0 | 2023-06-03 02:18:08.586000 | https://github.com/shihengcan/ICM-matcaffe | 11 | Scene parsing via integrated classification model and variance-based regularization | https://scholar.google.com/scholar?cluster=2535925350992241145&hl=en&as_sdt=0,37 | 2 | 2,019 |
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features | 296 | cvpr | 66 | 12 | 2023-06-03 02:18:08.786000 | https://github.com/ISICV/ManTraNet | 202 | Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features | https://scholar.google.com/scholar?cluster=874511673684313682&hl=en&as_sdt=0,43 | 10 | 2,019 |
On Zero-Shot Recognition of Generic Objects | 15 | cvpr | 2 | 0 | 2023-06-03 02:18:08.986000 | https://github.com/TristHas/GOZ | 16 | On zero-shot recognition of generic objects | https://scholar.google.com/scholar?cluster=1899006673146116471&hl=en&as_sdt=0,5 | 3 | 2,019 |
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry | 263 | cvpr | 95 | 18 | 2023-06-03 02:18:09.187000 | https://github.com/mkocabas/EpipolarPose | 560 | Self-supervised learning of 3d human pose using multi-view geometry | https://scholar.google.com/scholar?cluster=7066571099476763696&hl=en&as_sdt=0,33 | 24 | 2,019 |
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images | 323 | cvpr | 329 | 50 | 2023-06-03 02:18:09.387000 | https://github.com/switchablenorms/DeepFashion2 | 1,919 | Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images | https://scholar.google.com/scholar?cluster=14082985904236985683&hl=en&as_sdt=0,5 | 93 | 2,019 |
REPAIR: Removing Representation Bias by Dataset Resampling | 214 | cvpr | 11 | 3 | 2023-06-03 02:18:09.587000 | https://github.com/JerryYLi/Dataset-REPAIR | 53 | Repair: Removing representation bias by dataset resampling | https://scholar.google.com/scholar?cluster=14115376234602548755&hl=en&as_sdt=0,5 | 5 | 2,019 |
Label Efficient Semi-Supervised Learning via Graph Filtering | 160 | cvpr | 14 | 1 | 2023-06-03 02:18:09.787000 | https://github.com/liqimai/Efficient-SSL | 76 | Label efficient semi-supervised learning via graph filtering | https://scholar.google.com/scholar?cluster=6165593368616188043&hl=en&as_sdt=0,15 | 5 | 2,019 |
Linkage Based Face Clustering via Graph Convolution Network | 180 | cvpr | 87 | 28 | 2023-06-03 02:18:09.987000 | https://github.com/Zhongdao/gcn_clustering | 349 | Linkage based face clustering via graph convolution network | https://scholar.google.com/scholar?cluster=1863142488099065715&hl=en&as_sdt=0,7 | 10 | 2,019 |
Tightness-Aware Evaluation Protocol for Scene Text Detection | 33 | cvpr | 45 | 3 | 2023-06-03 02:18:10.188000 | https://github.com/Yuliang-Liu/TIoU-metric | 209 | Tightness-aware evaluation protocol for scene text detection | https://scholar.google.com/scholar?cluster=1090233099780103403&hl=en&as_sdt=0,5 | 7 | 2,019 |
Creative Flow+ Dataset | 18 | cvpr | 7 | 1 | 2023-06-03 02:18:10.387000 | https://github.com/creativefloworg/creativeflow | 58 | Creative flow+ dataset | https://scholar.google.com/scholar?cluster=11073842256461154770&hl=en&as_sdt=0,36 | 6 | 2,019 |
PointConv: Deep Convolutional Networks on 3D Point Clouds | 1,230 | cvpr | 98 | 22 | 2023-06-03 02:18:10.587000 | https://github.com/DylanWusee/pointconv | 470 | Pointconv: Deep convolutional networks on 3d point clouds | https://scholar.google.com/scholar?cluster=11585958970100977527&hl=en&as_sdt=0,44 | 11 | 2,019 |
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction | 288 | cvpr | 62 | 0 | 2023-06-03 02:18:10.788000 | https://github.com/barisgecer/ganfit | 581 | Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction | https://scholar.google.com/scholar?cluster=18439915194255667733&hl=en&as_sdt=0,5 | 50 | 2,019 |
A Neurobiological Evaluation Metric for Neural Network Model Search | 9 | cvpr | 5 | 0 | 2023-06-03 02:18:10.988000 | https://github.com/CVRL/human-model-similarity | 10 | A neurobiological evaluation metric for neural network model search | https://scholar.google.com/scholar?cluster=14287587135308208787&hl=en&as_sdt=0,5 | 7 | 2,019 |
Learning to Reconstruct People in Clothing From a Single RGB Camera | 261 | cvpr | 79 | 1 | 2023-06-03 02:18:11.188000 | https://github.com/thmoa/octopus | 236 | Learning to reconstruct people in clothing from a single RGB camera | https://scholar.google.com/scholar?cluster=6111852910175872533&hl=en&as_sdt=0,3 | 16 | 2,019 |
Learning to Adapt for Stereo | 64 | cvpr | 11 | 4 | 2023-06-03 02:18:11.388000 | https://github.com/CVLAB-Unibo/Learning2AdaptForStereo | 77 | Learning to adapt for stereo | https://scholar.google.com/scholar?cluster=2575889421686296942&hl=en&as_sdt=0,10 | 18 | 2,019 |
3D Appearance Super-Resolution With Deep Learning | 33 | cvpr | 19 | 6 | 2023-06-03 02:18:11.588000 | https://github.com/ofsoundof/3D_Appearance_SR | 81 | 3D appearance super-resolution with deep learning | https://scholar.google.com/scholar?cluster=15618858737431977599&hl=en&as_sdt=0,33 | 5 | 2,019 |
A Perceptual Prediction Framework for Self Supervised Event Segmentation | 56 | cvpr | 1 | 0 | 2023-06-03 02:18:11.788000 | https://github.com/CVPRUSFTampa/EventSegmentation | 8 | A perceptual prediction framework for self supervised event segmentation | https://scholar.google.com/scholar?cluster=395493901031327715&hl=en&as_sdt=0,5 | 2 | 2,019 |
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes | 16 | cvpr | 47 | 1 | 2023-06-03 02:18:11.988000 | https://github.com/ziquan111/RobustPCLReconstruction | 129 | Robust point cloud based reconstruction of large-scale outdoor scenes | https://scholar.google.com/scholar?cluster=17457359442789895622&hl=en&as_sdt=0,34 | 22 | 2,019 |
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection | 281 | cvpr | 40 | 16 | 2023-06-03 02:18:12.188000 | https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection | 208 | Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection | https://scholar.google.com/scholar?cluster=9753609236570455793&hl=en&as_sdt=0,5 | 14 | 2,019 |
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference | 351 | cvpr | 299 | 69 | 2023-06-03 02:18:12.388000 | https://github.com/YoYo000/MVSNet | 1,191 | Recurrent mvsnet for high-resolution multi-view stereo depth inference | https://scholar.google.com/scholar?cluster=4238059022746390832&hl=en&as_sdt=0,31 | 44 | 2,019 |
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres | 54 | cvpr | 16 | 0 | 2023-06-03 02:18:12.588000 | https://github.com/leoshine/Spherical_Regression | 140 | Spherical regression: Learning viewpoints, surface normals and 3d rotations on n-spheres | https://scholar.google.com/scholar?cluster=12003786389855599350&hl=en&as_sdt=0,5 | 11 | 2,019 |
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities | 325 | cvpr | 92 | 4 | 2023-06-03 02:18:12.788000 | https://github.com/zgojcic/3DSmoothNet | 405 | The perfect match: 3d point cloud matching with smoothed densities | https://scholar.google.com/scholar?cluster=7009988007929913159&hl=en&as_sdt=0,10 | 16 | 2,019 |
Unsupervised Deep Tracking | 354 | cvpr | 24 | 3 | 2023-06-03 02:18:12.988000 | https://github.com/594422814/UDT | 154 | Unsupervised deep tracking | https://scholar.google.com/scholar?cluster=10867085456971449174&hl=en&as_sdt=0,5 | 5 | 2,019 |
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation | 151 | cvpr | 23 | 10 | 2023-06-03 02:18:13.187000 | https://github.com/sshan-zhao/GASDA | 133 | Geometry-aware symmetric domain adaptation for monocular depth estimation | https://scholar.google.com/scholar?cluster=7374792956146356394&hl=en&as_sdt=0,31 | 13 | 2,019 |
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers | 56 | cvpr | 24 | 7 | 2023-06-03 02:18:13.388000 | https://github.com/zhen-he/tracking-by-animation | 122 | Tracking by animation: Unsupervised learning of multi-object attentive trackers | https://scholar.google.com/scholar?cluster=13050152165706034610&hl=en&as_sdt=0,18 | 7 | 2,019 |
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing | 538 | cvpr | 19 | 12 | 2023-06-03 02:18:13.588000 | https://github.com/hszhao/PointWeb | 177 | Pointweb: Enhancing local neighborhood features for point cloud processing | https://scholar.google.com/scholar?cluster=984130581400842453&hl=en&as_sdt=0,5 | 3 | 2,019 |
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge | 185 | cvpr | 20 | 1 | 2023-06-03 02:18:13.788000 | https://github.com/fabiotosi92/monoResMatch-Tensorflow | 118 | Learning monocular depth estimation infusing traditional stereo knowledge | https://scholar.google.com/scholar?cluster=2961342571768820762&hl=en&as_sdt=0,5 | 6 | 2,019 |
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception | 59 | cvpr | 9 | 1 | 2023-06-03 02:18:13.988000 | https://github.com/mengyuest/SIGNet | 20 | Signet: Semantic instance aided unsupervised 3d geometry perception | https://scholar.google.com/scholar?cluster=9357944003335228407&hl=en&as_sdt=0,33 | 7 | 2,019 |
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints | 734 | cvpr | 25 | 0 | 2023-06-03 02:18:14.189000 | https://github.com/coolsunxu/sophie | 44 | Sophie: An attentive gan for predicting paths compliant to social and physical constraints | https://scholar.google.com/scholar?cluster=8569269025593933345&hl=en&as_sdt=0,10 | 2 | 2,019 |
Leveraging Shape Completion for 3D Siamese Tracking | 116 | cvpr | 27 | 2 | 2023-06-03 02:18:14.389000 | https://github.com/SilvioGiancola/ShapeCompletion3DTracking | 112 | Leveraging shape completion for 3d siamese tracking | https://scholar.google.com/scholar?cluster=9608282867855392423&hl=en&as_sdt=0,11 | 7 | 2,019 |
Learning 3D Human Dynamics From Video | 394 | cvpr | 87 | 10 | 2023-06-03 02:18:14.589000 | https://github.com/akanazawa/human_dynamics | 605 | Learning 3d human dynamics from video | https://scholar.google.com/scholar?cluster=825392298300522171&hl=en&as_sdt=0,5 | 25 | 2,019 |
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild | 82 | cvpr | 29 | 10 | 2023-06-03 02:18:14.789000 | https://github.com/mx54039q/fnm | 122 | Unsupervised face normalization with extreme pose and expression in the wild | https://scholar.google.com/scholar?cluster=604172293447148911&hl=en&as_sdt=0,33 | 4 | 2,019 |
Spatiotemporal CNN for Video Object Segmentation | 85 | cvpr | 19 | 6 | 2023-06-03 02:18:14.988000 | https://github.com/longyin880815/STCNN | 149 | Spatiotemporal CNN for video object segmentation | https://scholar.google.com/scholar?cluster=10827546287580568374&hl=en&as_sdt=0,1 | 9 | 2,019 |
Lending Orientation to Neural Networks for Cross-View Geo-Localization | 115 | cvpr | 18 | 3 | 2023-06-03 02:18:15.188000 | https://github.com/Liumouliu/OriCNN | 74 | Lending orientation to neural networks for cross-view geo-localization | https://scholar.google.com/scholar?cluster=2657855986027249738&hl=en&as_sdt=0,33 | 5 | 2,019 |
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction | 72 | cvpr | 5 | 1 | 2023-06-03 02:18:15.388000 | https://github.com/alexklwong/adareg-monodispnet | 24 | Bilateral cyclic constraint and adaptive regularization for unsupervised monocular depth prediction | https://scholar.google.com/scholar?cluster=17912807222442486761&hl=en&as_sdt=0,15 | 4 | 2,019 |
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network | 155 | cvpr | 9 | 13 | 2023-06-03 02:18:15.589000 | https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network | 92 | Generating multiple hypotheses for 3d human pose estimation with mixture density network | https://scholar.google.com/scholar?cluster=2014886798638153110&hl=en&as_sdt=0,33 | 7 | 2,019 |
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation | 72 | cvpr | 26 | 8 | 2023-06-03 02:18:15.789000 | https://github.com/dumyy/handpose | 128 | Crossinfonet: Multi-task information sharing based hand pose estimation | https://scholar.google.com/scholar?cluster=8584161236933735663&hl=en&as_sdt=0,33 | 8 | 2,019 |
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis | 457 | cvpr | 66 | 4 | 2023-06-03 02:18:15.990000 | https://github.com/HelenMao/MSGAN | 404 | Mode seeking generative adversarial networks for diverse image synthesis | https://scholar.google.com/scholar?cluster=4321964936044860868&hl=en&as_sdt=0,5 | 12 | 2,019 |
Pluralistic Image Completion | 402 | cvpr | 144 | 9 | 2023-06-03 02:18:16.190000 | https://github.com/lyndonzheng/Pluralistic-Inpainting | 633 | Pluralistic image completion | https://scholar.google.com/scholar?cluster=1587792053076409427&hl=en&as_sdt=0,44 | 18 | 2,019 |
Dance With Flow: Two-In-One Stream Action Detection | 86 | cvpr | 9 | 3 | 2023-06-03 02:18:16.390000 | https://github.com/jiaozizhao/Two-in-One-ActionDetection | 31 | Dance with flow: Two-in-one stream action detection | https://scholar.google.com/scholar?cluster=9926061313509022213&hl=en&as_sdt=0,48 | 1 | 2,019 |
Attention-Aware Multi-Stroke Style Transfer | 123 | cvpr | 14 | 0 | 2023-06-03 02:18:16.590000 | https://github.com/JianqiangRen/AAMS | 77 | Attention-aware multi-stroke style transfer | https://scholar.google.com/scholar?cluster=13939843994671944521&hl=en&as_sdt=0,33 | 5 | 2,019 |
Representation Flow for Action Recognition | 154 | cvpr | 60 | 5 | 2023-06-03 02:18:16.791000 | https://github.com/piergiaj/representation-flow-cvpr19 | 253 | Representation flow for action recognition | https://scholar.google.com/scholar?cluster=12306061084535496096&hl=en&as_sdt=0,5 | 8 | 2,019 |
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos | 333 | cvpr | 98 | 2 | 2023-06-03 02:18:16.992000 | https://github.com/google/next-prediction | 336 | Peeking into the future: Predicting future person activities and locations in videos | https://scholar.google.com/scholar?cluster=11429514602467603267&hl=en&as_sdt=0,5 | 19 | 2,019 |
LSTA: Long Short-Term Attention for Egocentric Action Recognition | 145 | cvpr | 8 | 3 | 2023-06-03 02:18:17.192000 | https://github.com/swathikirans/LSTA | 34 | Lsta: Long short-term attention for egocentric action recognition | https://scholar.google.com/scholar?cluster=17064955558118197026&hl=en&as_sdt=0,16 | 4 | 2,019 |
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting | 362 | cvpr | 76 | 23 | 2023-06-03 02:18:17.391000 | https://github.com/researchmm/PEN-Net-for-Inpainting | 326 | Learning pyramid-context encoder network for high-quality image inpainting | https://scholar.google.com/scholar?cluster=14650766853064741481&hl=en&as_sdt=0,33 | 13 | 2,019 |
Learning Actor Relation Graphs for Group Activity Recognition | 198 | cvpr | 37 | 15 | 2023-06-03 02:18:17.591000 | https://github.com/wjchaoGit/Group-Activity-Recognition | 163 | Learning actor relation graphs for group activity recognition | https://scholar.google.com/scholar?cluster=16815703044108262915&hl=en&as_sdt=0,5 | 8 | 2,019 |
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation | 228 | cvpr | 30 | 2 | 2023-06-03 02:18:17.792000 | https://github.com/visinf/irr | 183 | Iterative residual refinement for joint optical flow and occlusion estimation | https://scholar.google.com/scholar?cluster=3156347272675228552&hl=en&as_sdt=0,44 | 9 | 2,019 |
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition | 119 | cvpr | 12 | 5 | 2023-06-03 02:18:17.991000 | https://github.com/naraysa/gzsl-od | 51 | Out-of-distribution detection for generalized zero-shot action recognition | https://scholar.google.com/scholar?cluster=10382614447629534528&hl=en&as_sdt=0,25 | 5 | 2,019 |
Light Field Messaging With Deep Photographic Steganography | 85 | cvpr | 6 | 4 | 2023-06-03 02:18:18.191000 | https://github.com/mathski/LFM | 31 | Light field messaging with deep photographic steganography | https://scholar.google.com/scholar?cluster=2436205911377935623&hl=en&as_sdt=0,33 | 3 | 2,019 |
ROI Pooled Correlation Filters for Visual Tracking | 85 | cvpr | 1 | 0 | 2023-06-03 02:18:18.391000 | https://github.com/rumsyx/RPCF | 9 | Roi pooled correlation filters for visual tracking | https://scholar.google.com/scholar?cluster=9895033358928965295&hl=en&as_sdt=0,33 | 3 | 2,019 |
Deep Video Inpainting | 163 | cvpr | 91 | 15 | 2023-06-03 02:18:18.591000 | https://github.com/mcahny/Deep-Video-Inpainting | 473 | Deep video inpainting | https://scholar.google.com/scholar?cluster=13347552587483542208&hl=en&as_sdt=0,5 | 14 | 2,019 |
Style Transfer by Relaxed Optimal Transport and Self-Similarity | 173 | cvpr | 37 | 3 | 2023-06-03 02:18:18.791000 | https://github.com/nkolkin13/STROTSS | 298 | Style transfer by relaxed optimal transport and self-similarity | https://scholar.google.com/scholar?cluster=15865606145273998674&hl=en&as_sdt=0,11 | 13 | 2,019 |
Learning Attraction Field Representation for Robust Line Segment Detection | 88 | cvpr | 63 | 14 | 2023-06-03 02:18:18.991000 | https://github.com/cherubicXN/afm_cvpr2019 | 276 | Learning attraction field representation for robust line segment detection | https://scholar.google.com/scholar?cluster=13279452849364535956&hl=en&as_sdt=0,46 | 16 | 2,019 |
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation | 99 | cvpr | 6 | 1 | 2023-06-03 02:18:19.191000 | https://github.com/aimagelab/art2real | 75 | Art2real: Unfolding the reality of artworks via semantically-aware image-to-image translation | https://scholar.google.com/scholar?cluster=282005273333774515&hl=en&as_sdt=0,47 | 10 | 2,019 |
Capture, Learning, and Synthesis of 3D Speaking Styles | 163 | cvpr | 255 | 32 | 2023-06-03 02:18:19.390000 | https://github.com/TimoBolkart/voca | 972 | Capture, learning, and synthesis of 3D speaking styles | https://scholar.google.com/scholar?cluster=12568957979354957566&hl=en&as_sdt=0,5 | 38 | 2,019 |
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks | 67 | cvpr | 12 | 0 | 2023-06-03 02:18:19.591000 | https://github.com/sitzikbs/Nesti-Net | 41 | Nesti-net: Normal estimation for unstructured 3d point clouds using convolutional neural networks | https://scholar.google.com/scholar?cluster=12906540584052048324&hl=en&as_sdt=0,33 | 3 | 2,019 |
Camera Lens Super-Resolution | 121 | cvpr | 29 | 8 | 2023-06-03 02:18:19.792000 | https://github.com/ngchc/CameraSR | 166 | Camera lens super-resolution | https://scholar.google.com/scholar?cluster=2417165424694352312&hl=en&as_sdt=0,11 | 8 | 2,019 |
Deep Geometric Prior for Surface Reconstruction | 140 | cvpr | 15 | 4 | 2023-06-03 02:18:19.991000 | https://github.com/fwilliams/deep-geometric-prior | 110 | Deep geometric prior for surface reconstruction | https://scholar.google.com/scholar?cluster=15060411641721328639&hl=en&as_sdt=0,32 | 6 | 2,019 |
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow | 85 | cvpr | 4 | 4 | 2023-06-03 02:18:20.192000 | https://github.com/flyywh/Dual-FLow-Video-Deraining-CVPR-2019 | 26 | Frame-consistent recurrent video deraining with dual-level flow | https://scholar.google.com/scholar?cluster=7898668195452947142&hl=en&as_sdt=0,5 | 4 | 2,019 |
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels | 320 | cvpr | 214 | 13 | 2023-06-03 02:18:20.393000 | https://github.com/cszn/DPSR | 822 | Deep plug-and-play super-resolution for arbitrary blur kernels | https://scholar.google.com/scholar?cluster=6289475413772253545&hl=en&as_sdt=0,33 | 26 | 2,019 |
Learning Implicit Fields for Generative Shape Modeling | 1,031 | cvpr | 40 | 0 | 2023-06-03 02:18:20.593000 | https://github.com/czq142857/implicit-decoder | 372 | Learning implicit fields for generative shape modeling | https://scholar.google.com/scholar?cluster=17379873456343060326&hl=en&as_sdt=0,33 | 16 | 2,019 |
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach | 53 | cvpr | 14 | 4 | 2023-06-03 02:18:20.793000 | https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping | 107 | Reliable and efficient image cropping: A grid anchor based approach | https://scholar.google.com/scholar?cluster=5839731668715144881&hl=en&as_sdt=0,10 | 7 | 2,019 |
Viewport Proposal CNN for 360deg Video Quality Assessment | 18 | cvpr | 7 | 1 | 2023-06-03 02:18:20.993000 | https://github.com/Archer-Tatsu/V-CNN | 31 | Viewport proposal CNN for 360deg video quality assessment | https://scholar.google.com/scholar?cluster=7315647537879856949&hl=en&as_sdt=0,33 | 3 | 2,019 |