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De-Rendering 3D Objects in the Wild | 11 | cvpr | 9 | 3 | 2023-06-03 15:10:52.648000 | https://github.com/brummi/derender3d | 122 | De-rendering 3D Objects in the Wild | https://scholar.google.com/scholar?cluster=1935620080686118847&hl=en&as_sdt=0,3 | 7 | 2,022 |
Global Sensing and Measurements Reuse for Image Compressed Sensing | 3 | cvpr | 1 | 1 | 2023-06-03 15:10:52.841000 | https://github.com/fze0012/mr-ccsnet | 3 | Global Sensing and Measurements Reuse for Image Compressed Sensing | https://scholar.google.com/scholar?cluster=6542901026232183837&hl=en&as_sdt=0,47 | 1 | 2,022 |
DETReg: Unsupervised Pretraining With Region Priors for Object Detection | 50 | cvpr | 37 | 27 | 2023-06-03 15:10:53.036000 | https://github.com/amirbar/detreg | 309 | Detreg: Unsupervised pretraining with region priors for object detection | https://scholar.google.com/scholar?cluster=10551610679278163665&hl=en&as_sdt=0,22 | 17 | 2,022 |
Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision | 0 | cvpr | 7,286 | 1,013 | 2023-06-03 15:10:53.230000 | https://github.com/google-research/google-research | 29,545 | Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision | https://scholar.google.com/scholar?cluster=13054823983554523598&hl=en&as_sdt=0,47 | 726 | 2,022 |
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack | 19 | cvpr | 2 | 0 | 2023-06-03 15:10:53.424000 | https://github.com/liuye6666/adaptive_auto_attack | 40 | Practical evaluation of adversarial robustness via adaptive auto attack | https://scholar.google.com/scholar?cluster=11985714371020199162&hl=en&as_sdt=0,21 | 3 | 2,022 |
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries | 19 | cvpr | 5 | 2 | 2023-06-03 15:10:53.618000 | https://github.com/clovaai/puridiver | 38 | Online continual learning on a contaminated data stream with blurry task boundaries | https://scholar.google.com/scholar?cluster=4641150768738034616&hl=en&as_sdt=0,5 | 4 | 2,022 |
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data | 8 | cvpr | 2 | 1 | 2023-06-03 15:10:53.812000 | https://github.com/TOM-tym/Learn-to-Imagine | 11 | Learning to imagine: Diversify memory for incremental learning using unlabeled data | https://scholar.google.com/scholar?cluster=5026291664933280388&hl=en&as_sdt=0,33 | 1 | 2,022 |
Cross-View Transformers for Real-Time Map-View Semantic Segmentation | 71 | cvpr | 58 | 32 | 2023-06-03 15:10:54.006000 | https://github.com/bradyz/cross_view_transformers | 424 | Cross-view transformers for real-time map-view semantic segmentation | https://scholar.google.com/scholar?cluster=1491587142118840508&hl=en&as_sdt=0,3 | 15 | 2,022 |
Make It Move: Controllable Image-to-Video Generation With Text Descriptions | 12 | cvpr | 7 | 2 | 2023-06-03 15:10:54.203000 | https://github.com/youncy-hu/mage | 28 | Make it move: Controllable image-to-video generation with text descriptions | https://scholar.google.com/scholar?cluster=3516336906711406652&hl=en&as_sdt=0,1 | 1 | 2,022 |
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks | 81 | cvpr | 16 | 5 | 2023-06-03 15:10:54.405000 | https://github.com/ylsung/vl_adapter | 173 | Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks | https://scholar.google.com/scholar?cluster=6414220699607528663&hl=en&as_sdt=0,5 | 7 | 2,022 |
Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling | 10 | cvpr | 33 | 13 | 2023-06-03 15:10:54.598000 | https://github.com/wanquanf/neuralpoints | 220 | Neural points: point cloud representation with neural fields for arbitrary upsampling | https://scholar.google.com/scholar?cluster=7916530615220861431&hl=en&as_sdt=0,33 | 14 | 2,022 |
Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction | 11 | cvpr | 2 | 2 | 2023-06-03 15:10:54.792000 | https://github.com/selkerdawy/FTWT | 6 | Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction | https://scholar.google.com/scholar?cluster=916820794753097681&hl=en&as_sdt=0,43 | 1 | 2,022 |
FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation | 11 | cvpr | 18 | 2 | 2023-06-03 15:10:54.986000 | https://github.com/sohyun-l/fifo | 77 | Fifo: Learning fog-invariant features for foggy scene segmentation | https://scholar.google.com/scholar?cluster=10025377918833329993&hl=en&as_sdt=0,5 | 3 | 2,022 |
Accelerating Video Object Segmentation With Compressed Video | 7 | cvpr | 4 | 2 | 2023-06-03 15:10:55.181000 | https://github.com/kai422/covos | 35 | Accelerating video object segmentation with compressed video | https://scholar.google.com/scholar?cluster=6742993136450637773&hl=en&as_sdt=0,33 | 3 | 2,022 |
Bi-Directional Object-Context Prioritization Learning for Saliency Ranking | 6 | cvpr | 0 | 2 | 2023-06-03 15:10:55.375000 | https://github.com/grassbro/ocor | 19 | Bi-directional object-context prioritization learning for saliency ranking | https://scholar.google.com/scholar?cluster=3067181998464015249&hl=en&as_sdt=0,37 | 6 | 2,022 |
Unsupervised Visual Representation Learning by Online Constrained K-Means | 9 | cvpr | 4 | 0 | 2023-06-03 15:10:55.570000 | https://github.com/idstcv/coke | 12 | Unsupervised visual representation learning by online constrained k-means | https://scholar.google.com/scholar?cluster=5554234163511357212&hl=en&as_sdt=0,5 | 0 | 2,022 |
FastDOG: Fast Discrete Optimization on GPU | 3 | cvpr | 5 | 0 | 2023-06-03 15:10:55.763000 | https://github.com/lpmp/bdd | 30 | FastDOG: Fast discrete optimization on GPU | https://scholar.google.com/scholar?cluster=15262271901525322084&hl=en&as_sdt=0,5 | 2 | 2,022 |
What Do Navigation Agents Learn About Their Environment? | 8 | cvpr | 3 | 0 | 2023-06-03 15:10:55.957000 | https://github.com/allenai/isee | 17 | What do navigation agents learn about their environment? | https://scholar.google.com/scholar?cluster=5532012740599620331&hl=en&as_sdt=0,44 | 5 | 2,022 |
Self-Supervised Equivariant Learning for Oriented Keypoint Detection | 6 | cvpr | 4 | 1 | 2023-06-03 15:10:56.151000 | https://github.com/bluedream1121/REKD | 49 | Self-supervised equivariant learning for oriented keypoint detection | https://scholar.google.com/scholar?cluster=18376839789551926333&hl=en&as_sdt=0,5 | 2 | 2,022 |
Improving Adversarial Transferability via Neuron Attribution-Based Attacks | 28 | cvpr | 2 | 0 | 2023-06-03 15:10:56.345000 | https://github.com/jpzhang1810/naa | 27 | Improving adversarial transferability via neuron attribution-based attacks | https://scholar.google.com/scholar?cluster=3102917020132255936&hl=en&as_sdt=0,16 | 2 | 2,022 |
Focal and Global Knowledge Distillation for Detectors | 74 | cvpr | 36 | 10 | 2023-06-03 15:10:56.539000 | https://github.com/yzd-v/FGD | 291 | Focal and global knowledge distillation for detectors | https://scholar.google.com/scholar?cluster=14151291256828319904&hl=en&as_sdt=0,34 | 2 | 2,022 |
Instance-Wise Occlusion and Depth Orders in Natural Scenes | 6 | cvpr | 1 | 1 | 2023-06-03 15:10:56.734000 | https://github.com/POSTECH-CVLab/InstaOrder | 26 | Instance-wise occlusion and depth orders in natural scenes | https://scholar.google.com/scholar?cluster=17301949382953129928&hl=en&as_sdt=0,11 | 2 | 2,022 |
Learning To Prompt for Continual Learning | 112 | cvpr | 33 | 4 | 2023-06-03 15:10:56.928000 | https://github.com/google-research/l2p | 278 | Learning to prompt for continual learning | https://scholar.google.com/scholar?cluster=11127330701624169778&hl=en&as_sdt=0,22 | 7 | 2,022 |
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning | 18 | cvpr | 7 | 6 | 2023-06-03 15:10:57.122000 | https://github.com/stomachcold/hctransformers | 42 | Attribute surrogates learning and spectral tokens pooling in transformers for few-shot learning | https://scholar.google.com/scholar?cluster=17677971297733661657&hl=en&as_sdt=0,11 | 5 | 2,022 |
Contour-Hugging Heatmaps for Landmark Detection | 3 | cvpr | 2 | 0 | 2023-06-03 15:10:57.316000 | https://github.com/jfm15/contourhuggingheatmaps | 7 | Contour-Hugging Heatmaps for Landmark Detection | https://scholar.google.com/scholar?cluster=15311814784447519217&hl=en&as_sdt=0,10 | 1 | 2,022 |
Generalized Category Discovery | 51 | cvpr | 13 | 8 | 2023-06-03 15:10:57.510000 | https://github.com/sgvaze/generalized-category-discovery | 138 | Generalized category discovery | https://scholar.google.com/scholar?cluster=5154769386036347309&hl=en&as_sdt=0,33 | 14 | 2,022 |
FreeSOLO: Learning To Segment Objects Without Annotations | 30 | cvpr | 31 | 11 | 2023-06-03 15:10:57.706000 | https://github.com/nvlabs/freesolo | 284 | Freesolo: Learning to segment objects without annotations | https://scholar.google.com/scholar?cluster=3726545131723476858&hl=en&as_sdt=0,48 | 5 | 2,022 |
GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation | 7 | cvpr | 1 | 1 | 2023-06-03 15:10:57.900000 | https://github.com/xingzhehe/ganseg | 14 | Ganseg: Learning to segment by unsupervised hierarchical image generation | https://scholar.google.com/scholar?cluster=8381112320248526584&hl=en&as_sdt=0,44 | 1 | 2,022 |
Enhancing Adversarial Robustness for Deep Metric Learning | 5 | cvpr | 1 | 0 | 2023-06-03 15:10:58.094000 | https://github.com/cdluminate/robdml | 18 | Enhancing adversarial robustness for deep metric learning | https://scholar.google.com/scholar?cluster=6859977703388701066&hl=en&as_sdt=0,5 | 3 | 2,022 |
Dense Learning Based Semi-Supervised Object Detection | 18 | cvpr | 8 | 12 | 2023-06-03 15:10:58.288000 | https://github.com/chenbinghui1/dsl | 83 | Dense learning based semi-supervised object detection | https://scholar.google.com/scholar?cluster=3247052077202185212&hl=en&as_sdt=0,5 | 4 | 2,022 |
TransforMatcher: Match-to-Match Attention for Semantic Correspondence | 9 | cvpr | 2 | 1 | 2023-06-03 15:10:58.483000 | https://github.com/wookiekim/transformatcher | 31 | TransforMatcher: Match-to-Match Attention for Semantic Correspondence | https://scholar.google.com/scholar?cluster=15104802067612466032&hl=en&as_sdt=0,5 | 4 | 2,022 |
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation | 52 | cvpr | 17 | 5 | 2023-06-03 15:10:58.677000 | https://github.com/facebookresearch/HRViT | 159 | Multi-scale high-resolution vision transformer for semantic segmentation | https://scholar.google.com/scholar?cluster=7367405585260744735&hl=en&as_sdt=0,5 | 10 | 2,022 |
Optimal Correction Cost for Object Detection Evaluation | 3 | cvpr | 0 | 1 | 2023-06-03 15:10:58.871000 | https://github.com/mayu-ot/oc-cost | 26 | Optimal correction cost for object detection evaluation | https://scholar.google.com/scholar?cluster=2642922896219719634&hl=en&as_sdt=0,5 | 2 | 2,022 |
Robust Outlier Detection by De-Biasing VAE Likelihoods | 4 | cvpr | 7,286 | 1,013 | 2023-06-03 15:10:59.065000 | https://github.com/google-research/google-research | 29,545 | Robust outlier detection by de-biasing VAE likelihoods | https://scholar.google.com/scholar?cluster=11831436094055949436&hl=en&as_sdt=0,5 | 726 | 2,022 |
Artistic Style Discovery With Independent Components | 3 | cvpr | 1 | 0 | 2023-06-03 15:10:59.259000 | https://github.com/shelsin/artins | 11 | Artistic style discovery with independent components | https://scholar.google.com/scholar?cluster=11868555798863356936&hl=en&as_sdt=0,5 | 1 | 2,022 |
Convolution of Convolution: Let Kernels Spatially Collaborate | 0 | cvpr | 2 | 0 | 2023-06-03 15:10:59.452000 | https://github.com/genera1z/convolutionofconvolution | 8 | Convolution of Convolution: Let Kernels Spatially Collaborate | https://scholar.google.com/scholar?cluster=1747810192135914154&hl=en&as_sdt=0,5 | 1 | 2,022 |
Point2Seq: Detecting 3D Objects As Sequences | 7 | cvpr | 5 | 1 | 2023-06-03 15:10:59.647000 | https://github.com/ocnflag/point2seq | 61 | Point2seq: detecting 3D objects as sequences | https://scholar.google.com/scholar?cluster=6567908324401744618&hl=en&as_sdt=0,10 | 7 | 2,022 |
Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos | 5 | cvpr | 4 | 0 | 2023-06-03 15:10:59.841000 | https://github.com/soCzech/LookForTheChange | 28 | Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos | https://scholar.google.com/scholar?cluster=1537815863841327629&hl=en&as_sdt=0,5 | 4 | 2,022 |
HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing | 96 | cvpr | 108 | 1 | 2023-06-03 15:11:00.036000 | https://github.com/yuval-alaluf/hyperstyle | 925 | Hyperstyle: Stylegan inversion with hypernetworks for real image editing | https://scholar.google.com/scholar?cluster=13013295706162025578&hl=en&as_sdt=0,23 | 28 | 2,022 |
Video-Text Representation Learning via Differentiable Weak Temporal Alignment | 3 | cvpr | 1 | 0 | 2023-06-03 15:11:00.231000 | https://github.com/mlvlab/vt-twins | 14 | Video-text representation learning via differentiable weak temporal alignment | https://scholar.google.com/scholar?cluster=5591595499413413837&hl=en&as_sdt=0,5 | 0 | 2,022 |
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition | 11 | cvpr | 4 | 3 | 2023-06-03 15:11:00.426000 | https://github.com/shiyuanh/tane | 15 | Task-adaptive negative envision for few-shot open-set recognition | https://scholar.google.com/scholar?cluster=4099282274649852201&hl=en&as_sdt=0,5 | 6 | 2,022 |
Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery | 9 | cvpr | 1 | 0 | 2023-06-03 15:11:00.626000 | https://github.com/muliyangm/comex | 9 | Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery | https://scholar.google.com/scholar?cluster=17405901485879363588&hl=en&as_sdt=0,36 | 1 | 2,022 |
MixFormer: Mixing Features Across Windows and Dimensions | 30 | cvpr | 1,087 | 190 | 2023-06-03 15:11:00.821000 | https://github.com/PaddlePaddle/PaddleClas | 4,860 | Mixformer: Mixing features across windows and dimensions | https://scholar.google.com/scholar?cluster=16965662268880636582&hl=en&as_sdt=0,5 | 73 | 2,022 |
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network | 26 | cvpr | 10 | 1 | 2023-06-03 15:11:01.015000 | https://github.com/wooseoklee4/ap-bsn | 57 | Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network | https://scholar.google.com/scholar?cluster=11985940273976088551&hl=en&as_sdt=0,5 | 2 | 2,022 |
Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks | 6 | cvpr | 9 | 3 | 2023-06-03 15:11:01.229000 | https://github.com/mmlab-cv/Agglomerator | 24 | Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks | https://scholar.google.com/scholar?cluster=17205796139419550527&hl=en&as_sdt=0,10 | 3 | 2,022 |
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds | 84 | cvpr | 50 | 18 | 2023-06-03 15:11:01.428000 | https://github.com/yifanzhang713/ia-ssd | 315 | Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds | https://scholar.google.com/scholar?cluster=16655541821133235810&hl=en&as_sdt=0,5 | 4 | 2,022 |
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning | 17 | cvpr | 7 | 3 | 2023-06-03 15:11:01.622000 | https://github.com/ytaek-oh/daso | 55 | DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning | https://scholar.google.com/scholar?cluster=17144682580574038881&hl=en&as_sdt=0,5 | 2 | 2,022 |
MonoDTR: Monocular 3D Object Detection With Depth-Aware Transformer | 42 | cvpr | 13 | 6 | 2023-06-03 15:11:01.816000 | https://github.com/kuanchihhuang/monodtr | 103 | Monodtr: Monocular 3d object detection with depth-aware transformer | https://scholar.google.com/scholar?cluster=1805235227134475013&hl=en&as_sdt=0,33 | 8 | 2,022 |
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision | 12 | cvpr | 13 | 5 | 2023-06-03 15:11:02.010000 | https://github.com/bwgzk/cyclemix | 56 | Cyclemix: A holistic strategy for medical image segmentation from scribble supervision | https://scholar.google.com/scholar?cluster=16924143345812990466&hl=en&as_sdt=0,5 | 3 | 2,022 |
CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation | 82 | cvpr | 31 | 7 | 2023-06-03 15:11:02.218000 | https://github.com/autodeskailab/clip-forge | 314 | Clip-forge: Towards zero-shot text-to-shape generation | https://scholar.google.com/scholar?cluster=15450117600687919110&hl=en&as_sdt=0,5 | 17 | 2,022 |
Learning Graph Regularisation for Guided Super-Resolution | 10 | cvpr | 7 | 0 | 2023-06-03 15:11:02.415000 | https://github.com/prs-eth/graph-super-resolution | 35 | Learning graph regularisation for guided super-resolution | https://scholar.google.com/scholar?cluster=7635150475076541879&hl=en&as_sdt=0,15 | 2 | 2,022 |
Voxel Field Fusion for 3D Object Detection | 22 | cvpr | 9 | 3 | 2023-06-03 15:11:02.609000 | https://github.com/dvlab-research/vff | 87 | Voxel field fusion for 3d object detection | https://scholar.google.com/scholar?cluster=15196041616068317393&hl=en&as_sdt=0,33 | 3 | 2,022 |
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo | 28 | cvpr | 15 | 0 | 2023-06-03 15:11:02.805000 | https://github.com/fangjinhuawang/itermvs | 139 | IterMVS: iterative probability estimation for efficient multi-view stereo | https://scholar.google.com/scholar?cluster=10217528380961894363&hl=en&as_sdt=0,47 | 9 | 2,022 |
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views | 9 | cvpr | 0 | 0 | 2023-06-03 15:11:02.999000 | https://github.com/zhangjb416/Hierarchical-Augmentation | 7 | Rethinking the augmentation module in contrastive learning: Learning hierarchical augmentation invariance with expanded views | https://scholar.google.com/scholar?cluster=4005108257678361504&hl=en&as_sdt=0,5 | 2 | 2,022 |
FedCorr: Multi-Stage Federated Learning for Label Noise Correction | 15 | cvpr | 5 | 0 | 2023-06-03 15:11:03.194000 | https://github.com/xu-jingyi/fedcorr | 22 | Fedcorr: Multi-stage federated learning for label noise correction | https://scholar.google.com/scholar?cluster=5669373680326837123&hl=en&as_sdt=0,33 | 1 | 2,022 |
Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows | 3 | cvpr | 5 | 0 | 2023-06-03 15:11:03.387000 | https://github.com/amazon-research/small-baseline-camera-tracking | 59 | Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows | https://scholar.google.com/scholar?cluster=1901915419593604514&hl=en&as_sdt=0,5 | 7 | 2,022 |
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing | 10 | cvpr | 0 | 2 | 2023-06-03 15:11:03.581000 | https://github.com/luost26/equivariant-orientedmp | 22 | Equivariant point cloud analysis via learning orientations for message passing | https://scholar.google.com/scholar?cluster=4920530705850028640&hl=en&as_sdt=0,5 | 6 | 2,022 |
Source-Free Object Detection by Learning To Overlook Domain Style | 18 | cvpr | 4 | 6 | 2023-06-03 15:11:03.775000 | https://github.com/Flashkong/Source-Free-Object-Detection-by-Learning-to-Overlook-Domain-Style | 28 | Source-free object detection by learning to overlook domain style | https://scholar.google.com/scholar?cluster=11890223003866230078&hl=en&as_sdt=0,20 | 2 | 2,022 |
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization | 9 | cvpr | 1 | 1 | 2023-06-03 15:11:03.969000 | https://github.com/dongwei156/n2n | 21 | Node representation learning in graph via node-to-neighbourhood mutual information maximization | https://scholar.google.com/scholar?cluster=11746290513076855187&hl=en&as_sdt=0,5 | 2 | 2,022 |
One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones | 8 | cvpr | 1 | 1 | 2023-06-03 15:11:04.163000 | https://github.com/chanhee-luke/m-track | 8 | One step at a time: Long-horizon vision-and-language navigation with milestones | https://scholar.google.com/scholar?cluster=17829230908017130659&hl=en&as_sdt=0,5 | 2 | 2,022 |
Point Cloud Pre-Training With Natural 3D Structures | 9 | cvpr | 1 | 2 | 2023-06-03 15:11:04.357000 | https://github.com/ryosuke-yamada/3dfractaldb | 5 | Point Cloud Pre-training with Natural 3D Structures | https://scholar.google.com/scholar?cluster=4232774493484775617&hl=en&as_sdt=0,5 | 3 | 2,022 |
SelfRecon: Self Reconstruction Your Digital Avatar From Monocular Video | 49 | cvpr | 43 | 18 | 2023-06-03 15:11:04.551000 | https://github.com/jby1993/selfreconcode | 352 | Selfrecon: Self reconstruction your digital avatar from monocular video | https://scholar.google.com/scholar?cluster=8410658971247413341&hl=en&as_sdt=0,5 | 22 | 2,022 |
Scene Consistency Representation Learning for Video Scene Segmentation | 3 | cvpr | 9 | 2 | 2023-06-03 15:11:04.745000 | https://github.com/TencentYoutuResearch/SceneSegmentation-SCRL | 53 | Scene Consistency Representation Learning for Video Scene Segmentation | https://scholar.google.com/scholar?cluster=2564075373785184208&hl=en&as_sdt=0,11 | 7 | 2,022 |
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis | 19 | cvpr | 3 | 0 | 2023-06-03 15:11:04.941000 | https://github.com/zhihengli-UR/StyleT2I | 34 | Stylet2i: Toward compositional and high-fidelity text-to-image synthesis | https://scholar.google.com/scholar?cluster=6119835574966247948&hl=en&as_sdt=0,48 | 8 | 2,022 |
FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment | 14 | cvpr | 7 | 6 | 2023-06-03 15:11:05.135000 | https://github.com/xujinglin/finediving | 75 | Finediving: A fine-grained dataset for procedure-aware action quality assessment | https://scholar.google.com/scholar?cluster=5125588138588766817&hl=en&as_sdt=0,5 | 3 | 2,022 |
Self-Supervised Models Are Continual Learners | 45 | cvpr | 15 | 3 | 2023-06-03 15:11:05.329000 | https://github.com/donkeyshot21/cassle | 84 | Self-supervised models are continual learners | https://scholar.google.com/scholar?cluster=8726502467009709179&hl=en&as_sdt=0,3 | 5 | 2,022 |
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart | 9 | cvpr | 6 | 1 | 2023-06-03 15:11:05.523000 | https://github.com/P2333/Rectified-Rejection | 28 | Two coupled rejection metrics can tell adversarial examples apart | https://scholar.google.com/scholar?cluster=9583967984455182755&hl=en&as_sdt=0,10 | 1 | 2,022 |
HEAT: Holistic Edge Attention Transformer for Structured Reconstruction | 4 | cvpr | 10 | 4 | 2023-06-03 15:11:05.717000 | https://github.com/woodfrog/heat | 46 | HEAT: Holistic Edge Attention Transformer for Structured Reconstruction | https://scholar.google.com/scholar?cluster=18409780889355359989&hl=en&as_sdt=0,14 | 7 | 2,022 |
Exploiting Explainable Metrics for Augmented SGD | 2 | cvpr | 14 | 0 | 2023-06-03 15:11:05.911000 | https://github.com/mahdihosseini/rmsgd | 43 | Exploiting Explainable Metrics for Augmented SGD | https://scholar.google.com/scholar?cluster=9604666184151717265&hl=en&as_sdt=0,47 | 4 | 2,022 |
REX: Reasoning-Aware and Grounded Explanation | 6 | cvpr | 0 | 1 | 2023-06-03 15:11:06.105000 | https://github.com/szzexpoi/rex | 15 | Rex: Reasoning-aware and grounded explanation | https://scholar.google.com/scholar?cluster=8689640944520847019&hl=en&as_sdt=0,5 | 1 | 2,022 |
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution | 17 | cvpr | 18 | 4 | 2023-06-03 15:11:06.300000 | https://github.com/picsart-ai-research/videoinr-continuous-space-time-super-resolution | 215 | Videoinr: Learning video implicit neural representation for continuous space-time super-resolution | https://scholar.google.com/scholar?cluster=3606765168614463405&hl=en&as_sdt=0,5 | 5 | 2,022 |
Improving Neural Implicit Surfaces Geometry With Patch Warping | 41 | cvpr | 12 | 4 | 2023-06-03 15:11:06.494000 | https://github.com/fdarmon/neuralwarp | 188 | Improving neural implicit surfaces geometry with patch warping | https://scholar.google.com/scholar?cluster=3623427518324463702&hl=en&as_sdt=0,32 | 8 | 2,022 |
EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction | 7 | cvpr | 1 | 1 | 2023-06-03 15:11:06.689000 | https://github.com/zxyemo/evunroll | 24 | EvUnroll: Neuromorphic events based rolling shutter image correction | https://scholar.google.com/scholar?cluster=4997635481202221489&hl=en&as_sdt=0,5 | 1 | 2,022 |
Gait Recognition in the Wild With Dense 3D Representations and a Benchmark | 35 | cvpr | 12 | 2 | 2023-06-03 15:11:06.883000 | https://github.com/Gait3D/Gait3D-Benchmark | 93 | Gait recognition in the wild with dense 3d representations and a benchmark | https://scholar.google.com/scholar?cluster=12338378403312062338&hl=en&as_sdt=0,5 | 5 | 2,022 |
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation | 50 | cvpr | 18 | 7 | 2023-06-03 15:11:07.078000 | https://github.com/yccyenchicheng/AutoSDF | 182 | Autosdf: Shape priors for 3d completion, reconstruction and generation | https://scholar.google.com/scholar?cluster=11137881856007355965&hl=en&as_sdt=0,5 | 9 | 2,022 |
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior | 3 | cvpr | 4 | 2 | 2023-06-03 15:11:07.272000 | https://github.com/ozgurkara99/ISNAS-DIP | 27 | Isnas-dip: Image-specific neural architecture search for deep image prior | https://scholar.google.com/scholar?cluster=13979102315997014403&hl=en&as_sdt=0,5 | 3 | 2,022 |
A Unified Query-Based Paradigm for Point Cloud Understanding | 11 | cvpr | 6 | 5 | 2023-06-03 15:11:07.467000 | https://github.com/dvlab-research/deepvision3d | 97 | A unified query-based paradigm for point cloud understanding | https://scholar.google.com/scholar?cluster=15160520958505330608&hl=en&as_sdt=0,11 | 5 | 2,022 |
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values | 9 | cvpr | 0 | 1 | 2023-06-03 15:11:07.661000 | https://github.com/AhmedImtiazPrio/magnet-polarity | 9 | Polarity sampling: Quality and diversity control of pre-trained generative networks via singular values | https://scholar.google.com/scholar?cluster=13683632591453970770&hl=en&as_sdt=0,37 | 1 | 2,022 |
Learning From All Vehicles | 37 | cvpr | 52 | 17 | 2023-06-03 15:11:07.854000 | https://github.com/dotchen/LAV | 336 | Learning from all vehicles | https://scholar.google.com/scholar?cluster=16218506036464706349&hl=en&as_sdt=0,15 | 10 | 2,022 |
End-to-End Referring Video Object Segmentation With Multimodal Transformers | 28 | cvpr | 67 | 15 | 2023-06-03 15:11:08.049000 | https://github.com/mttr2021/MTTR | 623 | End-to-end referring video object segmentation with multimodal transformers | https://scholar.google.com/scholar?cluster=948851395326952237&hl=en&as_sdt=0,15 | 7 | 2,022 |
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization | 5 | cvpr | 1 | 0 | 2023-06-03 15:11:08.243000 | https://github.com/djosix/IconFlow | 18 | Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization | https://scholar.google.com/scholar?cluster=1432476942087797797&hl=en&as_sdt=0,22 | 2 | 2,022 |
Towards Driving-Oriented Metric for Lane Detection Models | 5 | cvpr | 3 | 1 | 2023-06-03 15:11:08.437000 | https://github.com/asguard-uci/ld-metric | 22 | Towards driving-oriented metric for lane detection models | https://scholar.google.com/scholar?cluster=123008160880562675&hl=en&as_sdt=0,47 | 3 | 2,022 |
REGTR: End-to-End Point Cloud Correspondences With Transformers | 44 | cvpr | 16 | 11 | 2023-06-03 15:11:08.631000 | https://github.com/yewzijian/regtr | 134 | Regtr: End-to-end point cloud correspondences with transformers | https://scholar.google.com/scholar?cluster=1787546847961088663&hl=en&as_sdt=0,38 | 7 | 2,022 |
MAT: Mask-Aware Transformer for Large Hole Image Inpainting | 61 | cvpr | 52 | 39 | 2023-06-03 15:11:08.825000 | https://github.com/fenglinglwb/mat | 427 | Mat: Mask-aware transformer for large hole image inpainting | https://scholar.google.com/scholar?cluster=13226075639445229258&hl=en&as_sdt=0,16 | 7 | 2,022 |
XYDeblur: Divide and Conquer for Single Image Deblurring | 6 | cvpr | 0 | 1 | 2023-06-03 15:11:09.019000 | https://github.com/Seowon-Ji/XYDeblur | 12 | XYDeblur: divide and conquer for single image deblurring | https://scholar.google.com/scholar?cluster=1150348206342417431&hl=en&as_sdt=0,50 | 1 | 2,022 |
Neural 3D Scene Reconstruction With the Manhattan-World Assumption | 39 | cvpr | 32 | 4 | 2023-06-03 15:11:09.213000 | https://github.com/zju3dv/manhattan_sdf | 413 | Neural 3d scene reconstruction with the manhattan-world assumption | https://scholar.google.com/scholar?cluster=16772687487738165&hl=en&as_sdt=0,14 | 22 | 2,022 |
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes | 11 | cvpr | 1 | 5 | 2023-06-03 15:11:09.416000 | https://github.com/4dvlab/stcrowd | 39 | Stcrowd: A multimodal dataset for pedestrian perception in crowded scenes | https://scholar.google.com/scholar?cluster=2069889439247779884&hl=en&as_sdt=0,5 | 3 | 2,022 |
Style-Based Global Appearance Flow for Virtual Try-On | 16 | cvpr | 30 | 23 | 2023-06-03 15:11:09.610000 | https://github.com/senhe/flow-style-vton | 191 | Style-based global appearance flow for virtual try-on | https://scholar.google.com/scholar?cluster=4991537933937419909&hl=en&as_sdt=0,33 | 7 | 2,022 |
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment | 4 | cvpr | 1 | 2 | 2023-06-03 15:11:09.804000 | https://github.com/zengyiming-eamon/idea-net | 15 | Idea-net: Dynamic 3d point cloud interpolation via deep embedding alignment | https://scholar.google.com/scholar?cluster=9916120322274645032&hl=en&as_sdt=0,33 | 4 | 2,022 |
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens | 41 | cvpr | 7 | 3 | 2023-06-03 15:11:09.999000 | https://github.com/hustvl/MSG-Transformer | 73 | Msg-transformer: Exchanging local spatial information by manipulating messenger tokens | https://scholar.google.com/scholar?cluster=12949437642882722873&hl=en&as_sdt=0,10 | 4 | 2,022 |
Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction | 2 | cvpr | 2 | 3 | 2023-06-03 15:11:10.193000 | https://github.com/jfzhuang/ifr | 24 | Semi-supervised video semantic segmentation with inter-frame feature reconstruction | https://scholar.google.com/scholar?cluster=9308252690102339389&hl=en&as_sdt=0,33 | 2 | 2,022 |
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning | 23 | cvpr | 10 | 1 | 2023-06-03 15:11:10.388000 | https://github.com/nazmul-karim170/unicon-noisy-label | 42 | Unicon: Combating label noise through uniform selection and contrastive learning | https://scholar.google.com/scholar?cluster=13840763414391094365&hl=en&as_sdt=0,11 | 2 | 2,022 |
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection | 11 | cvpr | 0 | 0 | 2023-06-03 15:11:10.582000 | https://github.com/SDret/Pytorch-implementation-for-Rethinking-Reconstruction-Autoencoder-Based-Out-of-Distribution-Detection | 4 | Rethinking reconstruction autoencoder-based out-of-distribution detection | https://scholar.google.com/scholar?cluster=15354982576440685482&hl=en&as_sdt=0,21 | 1 | 2,022 |
Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization | 17 | cvpr | 11 | 0 | 2023-06-03 15:11:10.776000 | https://github.com/YxZhxn/Ray3D | 95 | Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization | https://scholar.google.com/scholar?cluster=10359759403461468779&hl=en&as_sdt=0,33 | 4 | 2,022 |
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model | 8 | cvpr | 5 | 1 | 2023-06-03 15:11:10.970000 | https://github.com/yihongsun/bayesian-amodal | 13 | Amodal segmentation through out-of-task and out-of-distribution generalization with a bayesian model | https://scholar.google.com/scholar?cluster=12805769980060504688&hl=en&as_sdt=0,16 | 1 | 2,022 |
E-CIR: Event-Enhanced Continuous Intensity Recovery | 8 | cvpr | 2 | 6 | 2023-06-03 15:11:11.165000 | https://github.com/chensong1995/e-cir | 37 | E-cir: Event-enhanced continuous intensity recovery | https://scholar.google.com/scholar?cluster=8773035017781760200&hl=en&as_sdt=0,21 | 3 | 2,022 |
ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization | 29 | cvpr | 3 | 1 | 2023-06-03 15:11:11.359000 | https://github.com/boheumd/asm-loc | 29 | ASM-Loc: action-aware segment modeling for weakly-supervised temporal action localization | https://scholar.google.com/scholar?cluster=16395330686982601785&hl=en&as_sdt=0,33 | 4 | 2,022 |
PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition | 4 | cvpr | 4 | 3 | 2023-06-03 15:11:11.553000 | https://github.com/Morpheus3000/PIE-Net | 20 | PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition | https://scholar.google.com/scholar?cluster=6666076693919758502&hl=en&as_sdt=0,33 | 2 | 2,022 |
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes | 7 | cvpr | 8 | 1 | 2023-06-03 15:11:11.747000 | https://github.com/qq456cvb/CanonicalVoting | 43 | Canonical voting: Towards robust oriented bounding box detection in 3d scenes | https://scholar.google.com/scholar?cluster=6939279992146812577&hl=en&as_sdt=0,8 | 6 | 2,022 |
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond | 16 | cvpr | 4 | 4 | 2023-06-03 15:11:11.942000 | https://github.com/yuyi-sd/robust_rain_removal | 27 | Towards robust rain removal against adversarial attacks: A comprehensive benchmark analysis and beyond | https://scholar.google.com/scholar?cluster=18112822762459252278&hl=en&as_sdt=0,33 | 2 | 2,022 |
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