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OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks | 14 | cvpr | 10 | 2 | 2023-06-03 15:10:32.013000 | https://github.com/wanyugroup/cvpr2022-orphicx | 25 | Orphicx: A causality-inspired latent variable model for interpreting graph neural networks | https://scholar.google.com/scholar?cluster=7768511965986962434&hl=en&as_sdt=0,5 | 1 | 2,022 |
Cloning Outfits From Real-World Images to 3D Characters for Generalizable Person Re-Identification | 2 | cvpr | 7 | 2 | 2023-06-03 15:10:32.231000 | https://github.com/yanan-wang-cs/clonedperson | 59 | Cloning outfits from real-world images to 3d characters for generalizable person re-identification | https://scholar.google.com/scholar?cluster=18433748154228429403&hl=en&as_sdt=0,14 | 4 | 2,022 |
ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo | 2 | cvpr | 3 | 2 | 2023-06-03 15:10:32.481000 | https://github.com/younglbw/crhd-3k | 28 | ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo | https://scholar.google.com/scholar?cluster=17398337412524506783&hl=en&as_sdt=0,10 | 6 | 2,022 |
Expanding Low-Density Latent Regions for Open-Set Object Detection | 8 | cvpr | 9 | 18 | 2023-06-03 15:10:32.687000 | https://github.com/csuhan/opendet2 | 75 | Expanding low-density latent regions for open-set object detection | https://scholar.google.com/scholar?cluster=10754307422790465317&hl=en&as_sdt=0,5 | 1 | 2,022 |
Quantifying Societal Bias Amplification in Image Captioning | 14 | cvpr | 1 | 0 | 2023-06-03 15:10:32.893000 | https://github.com/rebnej/lick-caption-bias | 6 | Quantifying societal bias amplification in image captioning | https://scholar.google.com/scholar?cluster=8737005229784815941&hl=en&as_sdt=0,5 | 1 | 2,022 |
Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data | 2 | cvpr | 11 | 2 | 2023-06-03 15:10:33.107000 | https://github.com/storymy/take-off-eyeglasses | 81 | Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data | https://scholar.google.com/scholar?cluster=12184173752936978394&hl=en&as_sdt=0,18 | 6 | 2,022 |
Exploring Dual-Task Correlation for Pose Guided Person Image Generation | 12 | cvpr | 10 | 1 | 2023-06-03 15:10:33.340000 | https://github.com/pangzecheung/dual-task-pose-transformer-network | 75 | Exploring dual-task correlation for pose guided person image generation | https://scholar.google.com/scholar?cluster=1347522366895866728&hl=en&as_sdt=0,5 | 1 | 2,022 |
StyleSwin: Transformer-Based GAN for High-Resolution Image Generation | 57 | cvpr | 36 | 6 | 2023-06-03 15:10:33.556000 | https://github.com/microsoft/StyleSwin | 395 | Styleswin: Transformer-based gan for high-resolution image generation | https://scholar.google.com/scholar?cluster=14580693445961229120&hl=en&as_sdt=0,44 | 12 | 2,022 |
Abandoning the Bayer-Filter To See in the Dark | 11 | cvpr | 11 | 2 | 2023-06-03 15:10:33.771000 | https://github.com/tcl-ailab/erase_bayer-filter_to_see_in_the_dark | 79 | Abandoning the Bayer-filter to see in the dark | https://scholar.google.com/scholar?cluster=11347672181310935976&hl=en&as_sdt=0,5 | 5 | 2,022 |
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity | 16 | cvpr | 10 | 3 | 2023-06-03 15:10:34.003000 | https://github.com/facebookresearch/Generic-Grouping | 109 | Open-world instance segmentation: Exploiting pseudo ground truth from learned pairwise affinity | https://scholar.google.com/scholar?cluster=255635617827796771&hl=en&as_sdt=0,44 | 6 | 2,022 |
Neural Rays for Occlusion-Aware Image-Based Rendering | 63 | cvpr | 28 | 9 | 2023-06-03 15:10:34.220000 | https://github.com/liuyuan-pal/NeuRay | 342 | Neural rays for occlusion-aware image-based rendering | https://scholar.google.com/scholar?cluster=4279364007436951215&hl=en&as_sdt=0,33 | 34 | 2,022 |
Reinforced Structured State-Evolution for Vision-Language Navigation | 10 | cvpr | 0 | 2 | 2023-06-03 15:10:34.486000 | https://github.com/chenjinyubuaa/sevol | 9 | Reinforced structured state-evolution for vision-language navigation | https://scholar.google.com/scholar?cluster=2018245891569790517&hl=en&as_sdt=0,5 | 1 | 2,022 |
Modeling 3D Layout for Group Re-Identification | 5 | cvpr | 1 | 0 | 2023-06-03 15:10:34.684000 | https://github.com/linlyac/city1m-dataset | 11 | Modeling 3D Layout For Group Re-Identification | https://scholar.google.com/scholar?cluster=315402371651311719&hl=en&as_sdt=0,10 | 1 | 2,022 |
Forward Compatible Training for Large-Scale Embedding Retrieval Systems | 7 | cvpr | 9 | 0 | 2023-06-03 15:10:34.891000 | https://github.com/apple/ml-fct | 44 | Forward compatible training for large-scale embedding retrieval systems | https://scholar.google.com/scholar?cluster=14484277701269720936&hl=en&as_sdt=0,23 | 6 | 2,022 |
Toward Fast, Flexible, and Robust Low-Light Image Enhancement | 93 | cvpr | 47 | 1 | 2023-06-03 15:10:35.518000 | https://github.com/vis-opt-group/sci | 281 | Toward fast, flexible, and robust low-light image enhancement | https://scholar.google.com/scholar?cluster=867483774840364548&hl=en&as_sdt=0,33 | 5 | 2,022 |
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning | 14 | cvpr | 10 | 0 | 2023-06-03 15:10:35.751000 | https://github.com/yue-fan/cossl | 44 | Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning | https://scholar.google.com/scholar?cluster=10704215977252277173&hl=en&as_sdt=0,5 | 3 | 2,022 |
Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval | 51 | cvpr | 12 | 4 | 2023-06-03 15:10:35.998000 | https://github.com/ninatu/everything_at_once | 63 | Everything at once-multi-modal fusion transformer for video retrieval | https://scholar.google.com/scholar?cluster=1129241930799490053&hl=en&as_sdt=0,33 | 2 | 2,022 |
Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph | 30 | cvpr | 3 | 1 | 2023-06-03 15:10:36.219000 | https://github.com/wangsiwei2010/cvpr22-imvc-cbg | 23 | Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph | https://scholar.google.com/scholar?cluster=7592965778131723796&hl=en&as_sdt=0,5 | 1 | 2,022 |
Discovering Objects That Can Move | 12 | cvpr | 1 | 3 | 2023-06-03 15:10:36.420000 | https://github.com/zpbao/discovery_obj_move | 38 | Discovering objects that can move | https://scholar.google.com/scholar?cluster=9817615571190342933&hl=en&as_sdt=0,11 | 2 | 2,022 |
Neural Template: Topology-Aware Reconstruction and Disentangled Generation of 3D Meshes | 7 | cvpr | 6 | 2 | 2023-06-03 15:10:36.615000 | https://github.com/edward1997104/Neural-Template | 35 | Neural template: Topology-aware reconstruction and disentangled generation of 3d meshes | https://scholar.google.com/scholar?cluster=1818240477523491291&hl=en&as_sdt=0,44 | 12 | 2,022 |
Weakly Supervised High-Fidelity Clothing Model Generation | 1 | cvpr | 11 | 4 | 2023-06-03 15:10:36.809000 | https://github.com/RuiLiFeng/Deep-Generative-Projection | 64 | Weakly Supervised High-Fidelity Clothing Model Generation | https://scholar.google.com/scholar?cluster=20866160009981622&hl=en&as_sdt=0,1 | 8 | 2,022 |
Towards Principled Disentanglement for Domain Generalization | 37 | cvpr | 6 | 0 | 2023-06-03 15:10:37.004000 | https://github.com/hlzhang109/ddg | 43 | Towards principled disentanglement for domain generalization | https://scholar.google.com/scholar?cluster=13483038458715901543&hl=en&as_sdt=0,5 | 4 | 2,022 |
Self-Supervised Learning of Object Parts for Semantic Segmentation | 25 | cvpr | 9 | 1 | 2023-06-03 15:10:37.205000 | https://github.com/mkuuwaujinga/leopart | 79 | Self-supervised learning of object parts for semantic segmentation | https://scholar.google.com/scholar?cluster=10023428544428348799&hl=en&as_sdt=0,33 | 2 | 2,022 |
AdaFace: Quality Adaptive Margin for Face Recognition | 58 | cvpr | 65 | 42 | 2023-06-03 15:10:37.416000 | https://github.com/mk-minchul/adaface | 390 | Adaface: Quality adaptive margin for face recognition | https://scholar.google.com/scholar?cluster=15806761742105148856&hl=en&as_sdt=0,33 | 6 | 2,022 |
Knowledge Mining With Scene Text for Fine-Grained Recognition | 3 | cvpr | 0 | 1 | 2023-06-03 15:10:37.611000 | https://github.com/lanfeng4659/knowledgeminingwithscenetext | 34 | Knowledge mining with scene text for fine-grained recognition | https://scholar.google.com/scholar?cluster=4597110415855400448&hl=en&as_sdt=0,47 | 2 | 2,022 |
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution | 36 | cvpr | 6 | 7 | 2023-06-03 15:10:37.804000 | https://github.com/zhaozixiang1228/gdsr-dctnet | 59 | Discrete cosine transform network for guided depth map super-resolution | https://scholar.google.com/scholar?cluster=9625270855075879979&hl=en&as_sdt=0,32 | 1 | 2,022 |
Swin Transformer V2: Scaling Up Capacity and Resolution | 438 | cvpr | 1,790 | 150 | 2023-06-03 15:10:37.999000 | https://github.com/microsoft/Swin-Transformer | 10,934 | Swin transformer v2: Scaling up capacity and resolution | https://scholar.google.com/scholar?cluster=15329990143169836178&hl=en&as_sdt=0,10 | 125 | 2,022 |
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss | 1 | cvpr | 0 | 0 | 2023-06-03 15:10:38.193000 | https://github.com/elvintanhust/s3esti | 1 | Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss | https://scholar.google.com/scholar?cluster=4755977681804564967&hl=en&as_sdt=0,6 | 2 | 2,022 |
TransGeo: Transformer Is All You Need for Cross-View Image Geo-Localization | 25 | cvpr | 11 | 2 | 2023-06-03 15:10:38.413000 | https://github.com/jeff-zilence/transgeo2022 | 56 | Transgeo: Transformer is all you need for cross-view image geo-localization | https://scholar.google.com/scholar?cluster=7235703548829998428&hl=en&as_sdt=0,11 | 4 | 2,022 |
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects | 8 | cvpr | 89 | 2 | 2023-06-03 15:10:38.610000 | https://github.com/dlr-rm/3dobjecttracking | 449 | Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects | https://scholar.google.com/scholar?cluster=1442948309573312269&hl=en&as_sdt=0,5 | 16 | 2,022 |
Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering | 4 | cvpr | 2 | 2 | 2023-06-03 15:10:38.803000 | https://github.com/sjtu-visys/multi-instant-reg | 26 | Multi-instance point cloud registration by efficient correspondence clustering | https://scholar.google.com/scholar?cluster=9998594732732329471&hl=en&as_sdt=0,21 | 5 | 2,022 |
OSSO: Obtaining Skeletal Shape From Outside | 8 | cvpr | 29 | 1 | 2023-06-03 15:10:38.997000 | https://github.com/MarilynKeller/OSSO | 171 | OSSO: Obtaining Skeletal Shape from Outside | https://scholar.google.com/scholar?cluster=12271885870131613985&hl=en&as_sdt=0,33 | 11 | 2,022 |
SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention | 4 | cvpr | 0 | 0 | 2023-06-03 15:10:39.191000 | https://github.com/mwoedlinger/sasic | 10 | Sasic: Stereo image compression with latent shifts and stereo attention | https://scholar.google.com/scholar?cluster=12235598835426789378&hl=en&as_sdt=0,47 | 1 | 2,022 |
Contrastive Boundary Learning for Point Cloud Segmentation | 39 | cvpr | 10 | 11 | 2023-06-03 15:10:39.439000 | https://github.com/liyaotang/contrastboundary | 101 | Contrastive boundary learning for point cloud segmentation | https://scholar.google.com/scholar?cluster=9432037003873850722&hl=en&as_sdt=0,1 | 3 | 2,022 |
CVNet: Contour Vibration Network for Building Extraction | 1 | cvpr | 1 | 2 | 2023-06-03 15:10:39.633000 | https://github.com/xzq-njust/cvnet | 16 | CVNet: Contour Vibration Network for Building Extraction | https://scholar.google.com/scholar?cluster=1053642954273826873&hl=en&as_sdt=0,33 | 1 | 2,022 |
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution | 23 | cvpr | 17 | 6 | 2023-06-03 15:10:39.828000 | https://github.com/csjliang/ldl | 187 | Details or artifacts: A locally discriminative learning approach to realistic image super-resolution | https://scholar.google.com/scholar?cluster=17562703024059944790&hl=en&as_sdt=0,5 | 7 | 2,022 |
RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging | 2 | cvpr | 0 | 0 | 2023-06-03 15:10:40.023000 | https://github.com/sfu-gruvi-3dv/rago | 14 | RAGO: Recurrent graph optimizer for multiple rotation averaging | https://scholar.google.com/scholar?cluster=2898145836232418250&hl=en&as_sdt=0,5 | 7 | 2,022 |
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint | 7 | cvpr | 1 | 1 | 2023-06-03 15:10:40.219000 | https://github.com/cr-gjx/scc | 15 | Alleviating semantics distortion in unsupervised low-level image-to-image translation via structure consistency constraint | https://scholar.google.com/scholar?cluster=6940101841878746410&hl=en&as_sdt=0,43 | 2 | 2,022 |
Hyperbolic Image Segmentation | 18 | cvpr | 6 | 3 | 2023-06-03 15:10:40.416000 | https://github.com/minaghadimiatigh/hyperbolicimagesegmentation | 50 | Hyperbolic image segmentation | https://scholar.google.com/scholar?cluster=6754485731620585801&hl=en&as_sdt=0,33 | 9 | 2,022 |
Projective Manifold Gradient Layer for Deep Rotation Regression | 18 | cvpr | 2 | 0 | 2023-06-03 15:10:40.611000 | https://github.com/jychen18/rpmg | 58 | Projective manifold gradient layer for deep rotation regression | https://scholar.google.com/scholar?cluster=3379264059637576430&hl=en&as_sdt=0,33 | 4 | 2,022 |
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search | 9 | cvpr | 0 | 2 | 2023-06-03 15:10:40.805000 | https://github.com/centaurus982034/arch-graph | 3 | Arch-graph: Acyclic architecture relation predictor for task-transferable neural architecture search | https://scholar.google.com/scholar?cluster=57321944077030732&hl=en&as_sdt=0,33 | 2 | 2,022 |
On Aliased Resizing and Surprising Subtleties in GAN Evaluation | 71 | cvpr | 51 | 20 | 2023-06-03 15:10:40.999000 | https://github.com/GaParmar/clean-fid | 679 | On aliased resizing and surprising subtleties in gan evaluation | https://scholar.google.com/scholar?cluster=11437769662814607169&hl=en&as_sdt=0,43 | 7 | 2,022 |
TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition | 5 | cvpr | 0 | 1 | 2023-06-03 15:10:41.194000 | https://github.com/kennymckormick/transrank | 19 | Transrank: Self-supervised video representation learning via ranking-based transformation recognition | https://scholar.google.com/scholar?cluster=12065866732236053878&hl=en&as_sdt=0,36 | 5 | 2,022 |
Invariant Grounding for Video Question Answering | 29 | cvpr | 3 | 2 | 2023-06-03 15:10:41.405000 | https://github.com/yl3800/igv | 22 | Invariant grounding for video question answering | https://scholar.google.com/scholar?cluster=12491881695567377041&hl=en&as_sdt=0,5 | 2 | 2,022 |
DiSparse: Disentangled Sparsification for Multitask Model Compression | 5 | cvpr | 4 | 0 | 2023-06-03 15:10:41.600000 | https://github.com/shi-labs/disparse-multitask-model-compression | 11 | DiSparse: Disentangled Sparsification for Multitask Model Compression | https://scholar.google.com/scholar?cluster=6072417934305435185&hl=en&as_sdt=0,5 | 2 | 2,022 |
A Style-Aware Discriminator for Controllable Image Translation | 11 | cvpr | 9 | 0 | 2023-06-03 15:10:41.794000 | https://github.com/kunheek/style-aware-discriminator | 104 | A style-aware discriminator for controllable image translation | https://scholar.google.com/scholar?cluster=845533795214129869&hl=en&as_sdt=0,5 | 4 | 2,022 |
Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes | 32 | cvpr | 16 | 11 | 2023-06-03 15:10:41.989000 | https://github.com/rabbityl/lepard | 127 | Lepard: Learning partial point cloud matching in rigid and deformable scenes | https://scholar.google.com/scholar?cluster=457295611521329031&hl=en&as_sdt=0,33 | 7 | 2,022 |
Moving Window Regression: A Novel Approach to Ordinal Regression | 12 | cvpr | 8 | 12 | 2023-06-03 15:10:42.183000 | https://github.com/nhshin-mcl/mwr | 53 | Moving window regression: a novel approach to ordinal regression | https://scholar.google.com/scholar?cluster=449198826622568241&hl=en&as_sdt=0,33 | 1 | 2,022 |
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference | 44 | cvpr | 15 | 5 | 2023-06-03 15:10:42.377000 | https://github.com/hushell/pmf_cvpr22 | 102 | Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference | https://scholar.google.com/scholar?cluster=8309949889630795104&hl=en&as_sdt=0,5 | 3 | 2,022 |
ICON: Implicit Clothed Humans Obtained From Normals | 84 | cvpr | 199 | 29 | 2023-06-03 15:10:42.571000 | https://github.com/yuliangxiu/icon | 1,367 | ICON: implicit clothed humans obtained from normals | https://scholar.google.com/scholar?cluster=8550715599070401133&hl=en&as_sdt=0,5 | 43 | 2,022 |
ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification | 26 | cvpr | 10 | 4 | 2023-06-03 15:10:42.764000 | https://github.com/FBLADL/ACPL | 42 | ACPL: Anti-curriculum pseudo-labelling for semi-supervised medical image classification | https://scholar.google.com/scholar?cluster=5770820468040495027&hl=en&as_sdt=0,33 | 2 | 2,022 |
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection | 18 | cvpr | 7 | 0 | 2023-06-03 15:10:42.959000 | https://github.com/siyueyu/dcfm | 24 | Democracy does matter: Comprehensive feature mining for co-salient object detection | https://scholar.google.com/scholar?cluster=13942408903712812761&hl=en&as_sdt=0,31 | 2 | 2,022 |
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention | 31 | cvpr | 11 | 10 | 2023-06-03 15:10:43.158000 | https://github.com/gorilla-lab-scut/vista | 117 | Vista: Boosting 3d object detection via dual cross-view spatial attention | https://scholar.google.com/scholar?cluster=3435830337411000222&hl=en&as_sdt=0,14 | 2 | 2,022 |
Shape From Polarization for Complex Scenes in the Wild | 14 | cvpr | 5 | 1 | 2023-06-03 15:10:43.353000 | https://github.com/chenyanglei/sfp-wild | 43 | Shape from polarization for complex scenes in the wild | https://scholar.google.com/scholar?cluster=16191419047666639012&hl=en&as_sdt=0,34 | 6 | 2,022 |
Learning to Deblur Using Light Field Generated and Real Defocus Images | 6 | cvpr | 3 | 0 | 2023-06-03 15:10:43.557000 | https://github.com/lingyanruan/DRBNet | 65 | Learning to deblur using light field generated and real defocus images | https://scholar.google.com/scholar?cluster=15735702944594019309&hl=en&as_sdt=0,34 | 3 | 2,022 |
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes | 5 | cvpr | 8 | 1 | 2023-06-03 15:10:43.750000 | https://github.com/vilab-ucsd/photoscene | 71 | PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes | https://scholar.google.com/scholar?cluster=9334128890479120246&hl=en&as_sdt=0,44 | 8 | 2,022 |
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes | 14 | cvpr | 1 | 3 | 2023-06-03 15:10:43.945000 | https://github.com/zjsong/sspl | 25 | Self-supervised predictive learning: A negative-free method for sound source localization in visual scenes | https://scholar.google.com/scholar?cluster=7448875633647844847&hl=en&as_sdt=0,5 | 1 | 2,022 |
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment | 19 | cvpr | 2 | 0 | 2023-06-03 15:10:44.140000 | https://github.com/stevenshaw1999/rssa | 39 | Few shot generative model adaption via relaxed spatial structural alignment | https://scholar.google.com/scholar?cluster=1584682891522159994&hl=en&as_sdt=0,10 | 2 | 2,022 |
Versatile Multi-Modal Pre-Training for Human-Centric Perception | 7 | cvpr | 7 | 2 | 2023-06-03 15:10:44.415000 | https://github.com/hongfz16/hcmoco | 109 | Versatile multi-modal pre-training for human-centric perception | https://scholar.google.com/scholar?cluster=10243356763111938200&hl=en&as_sdt=0,5 | 9 | 2,022 |
Comparing Correspondences: Video Prediction With Correspondence-Wise Losses | 7 | cvpr | 0 | 1 | 2023-06-03 15:10:44.686000 | https://github.com/dangeng/CorrWiseLosses | 22 | Comparing correspondences: Video prediction with correspondence-wise losses | https://scholar.google.com/scholar?cluster=2052252333693513180&hl=en&as_sdt=0,5 | 1 | 2,022 |
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection | 14 | cvpr | 17 | 9 | 2023-06-03 15:10:44.880000 | https://github.com/icvteam/pgnet | 130 | Pyramid grafting network for one-stage high resolution saliency detection | https://scholar.google.com/scholar?cluster=10086340238621691361&hl=en&as_sdt=0,33 | 14 | 2,022 |
SNUG: Self-Supervised Neural Dynamic Garments | 19 | cvpr | 12 | 6 | 2023-06-03 15:10:45.073000 | https://github.com/isantesteban/snug | 146 | Snug: Self-supervised neural dynamic garments | https://scholar.google.com/scholar?cluster=17441211965878867334&hl=en&as_sdt=0,5 | 8 | 2,022 |
Enhancing Adversarial Training With Second-Order Statistics of Weights | 17 | cvpr | 3 | 0 | 2023-06-03 15:10:45.268000 | https://github.com/alexkael/s2o | 18 | Enhancing adversarial training with second-order statistics of weights | https://scholar.google.com/scholar?cluster=3568098907834682547&hl=en&as_sdt=0,16 | 1 | 2,022 |
Multi-View Consistent Generative Adversarial Networks for 3D-Aware Image Synthesis | 22 | cvpr | 9 | 2 | 2023-06-03 15:10:45.462000 | https://github.com/Xuanmeng-Zhang/MVCGAN | 83 | Multi-view consistent generative adversarial networks for 3d-aware image synthesis | https://scholar.google.com/scholar?cluster=1900688015204602379&hl=en&as_sdt=0,23 | 7 | 2,022 |
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation | 17 | cvpr | 16 | 0 | 2023-06-03 15:10:45.656000 | https://github.com/bit-da/ripu | 119 | Towards fewer annotations: Active learning via region impurity and prediction uncertainty for domain adaptive semantic segmentation | https://scholar.google.com/scholar?cluster=907514128348245282&hl=en&as_sdt=0,5 | 7 | 2,022 |
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo | 19 | cvpr | 2 | 1 | 2023-06-03 15:10:45.850000 | https://github.com/ChaoningZhang/Dual-temperature | 26 | Dual temperature helps contrastive learning without many negative samples: Towards understanding and simplifying moco | https://scholar.google.com/scholar?cluster=11904217105191322390&hl=en&as_sdt=0,44 | 3 | 2,022 |
Memory-Augmented Non-Local Attention for Video Super-Resolution | 11 | cvpr | 2 | 2 | 2023-06-03 15:10:46.044000 | https://github.com/jiy173/MANA | 34 | Memory-augmented non-local attention for video super-resolution | https://scholar.google.com/scholar?cluster=15635881739608714616&hl=en&as_sdt=0,5 | 2 | 2,022 |
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding | 82 | cvpr | 26 | 9 | 2023-06-03 15:10:46.238000 | https://github.com/mohamedafham/crosspoint | 180 | Crosspoint: Self-supervised cross-modal contrastive learning for 3d point cloud understanding | https://scholar.google.com/scholar?cluster=9260010001336706874&hl=en&as_sdt=0,5 | 7 | 2,022 |
Classification-Then-Grounding: Reformulating Video Scene Graphs As Temporal Bipartite Graphs | 11 | cvpr | 4 | 1 | 2023-06-03 15:10:46.432000 | https://github.com/Dawn-LX/VidSGG-BIG | 33 | Classification-then-grounding: Reformulating video scene graphs as temporal bipartite graphs | https://scholar.google.com/scholar?cluster=10991905322136021916&hl=en&as_sdt=0,33 | 3 | 2,022 |
Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution | 11 | cvpr | 8 | 2 | 2023-06-03 15:10:46.626000 | https://github.com/xaimi-lab/mcmrsr | 28 | Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution | https://scholar.google.com/scholar?cluster=3541046959677804256&hl=en&as_sdt=0,33 | 1 | 2,022 |
Robust Optimization As Data Augmentation for Large-Scale Graphs | 15 | cvpr | 18 | 6 | 2023-06-03 15:10:46.820000 | https://github.com/devnkong/FLAG | 129 | Robust optimization as data augmentation for large-scale graphs | https://scholar.google.com/scholar?cluster=4102533396606051676&hl=en&as_sdt=0,31 | 3 | 2,022 |
Safe Self-Refinement for Transformer-Based Domain Adaptation | 22 | cvpr | 7 | 0 | 2023-06-03 15:10:47.014000 | https://github.com/tsun/ssrt | 28 | Safe self-refinement for transformer-based domain adaptation | https://scholar.google.com/scholar?cluster=3114236035785050488&hl=en&as_sdt=0,5 | 1 | 2,022 |
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection | 43 | cvpr | 15 | 6 | 2023-06-03 15:10:47.208000 | https://github.com/ristea/sspcab | 126 | Self-supervised predictive convolutional attentive block for anomaly detection | https://scholar.google.com/scholar?cluster=12000700045591707888&hl=en&as_sdt=0,5 | 4 | 2,022 |
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions | 15 | cvpr | 5 | 0 | 2023-06-03 15:10:47.406000 | https://github.com/lukasHoel/stylemesh | 117 | Stylemesh: Style transfer for indoor 3d scene reconstructions | https://scholar.google.com/scholar?cluster=8459063223930073677&hl=en&as_sdt=0,21 | 7 | 2,022 |
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients | 6 | cvpr | 1 | 1 | 2023-06-03 15:10:47.600000 | https://github.com/KaidongLi/pytorch-LatticePointClassifier | 6 | Robust structured declarative classifiers for 3d point clouds: Defending adversarial attacks with implicit gradients | https://scholar.google.com/scholar?cluster=5834510496620017164&hl=en&as_sdt=0,33 | 2 | 2,022 |
Bridging Video-Text Retrieval With Multiple Choice Questions | 45 | cvpr | 15 | 9 | 2023-06-03 15:10:47.793000 | https://github.com/tencentarc/mcq | 114 | Bridging video-text retrieval with multiple choice questions | https://scholar.google.com/scholar?cluster=12347663869868417847&hl=en&as_sdt=0,5 | 4 | 2,022 |
Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input | 16 | cvpr | 1 | 0 | 2023-06-03 15:10:47.987000 | https://github.com/dreamflake/odi | 13 | Improving the transferability of targeted adversarial examples through object-based diverse input | https://scholar.google.com/scholar?cluster=10812581714488271969&hl=en&as_sdt=0,5 | 1 | 2,022 |
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis | 53 | cvpr | 58 | 8 | 2023-06-03 15:10:48.181000 | https://github.com/tobran/DF-GAN | 246 | Df-gan: A simple and effective baseline for text-to-image synthesis | https://scholar.google.com/scholar?cluster=10536626672413829585&hl=en&as_sdt=0,5 | 7 | 2,022 |
Class-Incremental Learning With Strong Pre-Trained Models | 19 | cvpr | 1 | 0 | 2023-06-03 15:10:48.375000 | https://github.com/amazon-research/sp-cil | 5 | Class-incremental learning with strong pre-trained models | https://scholar.google.com/scholar?cluster=4887808237223642830&hl=en&as_sdt=0,5 | 9 | 2,022 |
Splicing ViT Features for Semantic Appearance Transfer | 34 | cvpr | 25 | 4 | 2023-06-03 15:10:48.569000 | https://github.com/omerbt/Splice | 294 | Splicing vit features for semantic appearance transfer | https://scholar.google.com/scholar?cluster=8197809886716310130&hl=en&as_sdt=0,33 | 8 | 2,022 |
CoNeRF: Controllable Neural Radiance Fields | 33 | cvpr | 12 | 2 | 2023-06-03 15:10:48.763000 | https://github.com/kacperkan/conerf | 67 | Conerf: Controllable neural radiance fields | https://scholar.google.com/scholar?cluster=531094580070165718&hl=en&as_sdt=0,5 | 5 | 2,022 |
Depth-Aware Generative Adversarial Network for Talking Head Video Generation | 34 | cvpr | 104 | 27 | 2023-06-03 15:10:48.957000 | https://github.com/harlanhong/cvpr2022-dagan | 718 | Depth-aware generative adversarial network for talking head video generation | https://scholar.google.com/scholar?cluster=16409913294426978444&hl=en&as_sdt=0,5 | 25 | 2,022 |
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer | 14 | cvpr | 8 | 2 | 2023-06-03 15:10:49.150000 | https://github.com/rhgao/objectfolder | 121 | Objectfolder 2.0: A multisensory object dataset for sim2real transfer | https://scholar.google.com/scholar?cluster=18321501639603224905&hl=en&as_sdt=0,29 | 5 | 2,022 |
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis | 16 | cvpr | 20 | 10 | 2023-06-03 15:10:49.344000 | https://github.com/renyurui/neural-texture-extraction-distribution | 136 | Neural texture extraction and distribution for controllable person image synthesis | https://scholar.google.com/scholar?cluster=1232018497986225753&hl=en&as_sdt=0,5 | 7 | 2,022 |
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes | 7 | cvpr | 8 | 1 | 2023-06-03 15:10:49.538000 | https://github.com/dbash/zerowaste | 28 | Zerowaste dataset: Towards deformable object segmentation in cluttered scenes | https://scholar.google.com/scholar?cluster=13526608056498843239&hl=en&as_sdt=0,5 | 2 | 2,022 |
Implicit Feature Decoupling With Depthwise Quantization | 0 | cvpr | 0 | 0 | 2023-06-03 15:10:49.732000 | https://github.com/fostiropoulos/depthwise-quantization | 7 | Implicit Feature Decoupling with Depthwise Quantization | https://scholar.google.com/scholar?cluster=457355122912411711&hl=en&as_sdt=0,26 | 1 | 2,022 |
POCO: Point Convolution for Surface Reconstruction | 30 | cvpr | 18 | 8 | 2023-06-03 15:10:49.926000 | https://github.com/valeoai/poco | 131 | Poco: Point convolution for surface reconstruction | https://scholar.google.com/scholar?cluster=7702492245699818369&hl=en&as_sdt=0,18 | 8 | 2,022 |
Graph-Context Attention Networks for Size-Varied Deep Graph Matching | 3 | cvpr | 4 | 1 | 2023-06-03 15:10:50.119000 | https://github.com/zhehengjiang/gcan | 8 | Graph-context Attention Networks for Size-varied Deep Graph Matching | https://scholar.google.com/scholar?cluster=12111473869885871155&hl=en&as_sdt=0,5 | 2 | 2,022 |
Few-Shot Font Generation by Learning Fine-Grained Local Styles | 8 | cvpr | 4 | 17 | 2023-06-03 15:10:50.313000 | https://github.com/tlc121/FsFont | 36 | Few-Shot Font Generation by Learning Fine-Grained Local Styles | https://scholar.google.com/scholar?cluster=8704102275018994274&hl=en&as_sdt=0,33 | 1 | 2,022 |
The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting | 3 | cvpr | 4 | 4 | 2023-06-03 15:10:50.507000 | https://github.com/MichiganCOG/devil | 21 | The devil is in the details: A diagnostic evaluation benchmark for video inpainting | https://scholar.google.com/scholar?cluster=13208463904457021068&hl=en&as_sdt=0,11 | 4 | 2,022 |
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks | 43 | cvpr | 3 | 5 | 2023-06-03 15:10:50.701000 | https://github.com/jxhuang0508/CaCo | 20 | Category contrast for unsupervised domain adaptation in visual tasks | https://scholar.google.com/scholar?cluster=651008442347880918&hl=en&as_sdt=0,5 | 1 | 2,022 |
Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding | 11 | cvpr | 3 | 10 | 2023-06-03 15:10:50.895000 | https://github.com/lukeforeveryoung/qrnet | 27 | Shifting more attention to visual backbone: Query-modulated refinement networks for end-to-end visual grounding | https://scholar.google.com/scholar?cluster=5221723935694903097&hl=en&as_sdt=0,2 | 1 | 2,022 |
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering | 20 | cvpr | 3 | 1 | 2023-06-03 15:10:51.089000 | https://github.com/vipulgupta1011/swapmix | 14 | Swapmix: Diagnosing and regularizing the over-reliance on visual context in visual question answering | https://scholar.google.com/scholar?cluster=7815124774187094531&hl=en&as_sdt=0,33 | 1 | 2,022 |
FENeRF: Face Editing in Neural Radiance Fields | 57 | cvpr | 18 | 4 | 2023-06-03 15:10:51.283000 | https://github.com/MrTornado24/FENeRF | 202 | Fenerf: Face editing in neural radiance fields | https://scholar.google.com/scholar?cluster=8441399333131745733&hl=en&as_sdt=0,33 | 15 | 2,022 |
Remember Intentions: Retrospective-Memory-Based Trajectory Prediction | 20 | cvpr | 11 | 3 | 2023-06-03 15:10:51.477000 | https://github.com/mediabrain-sjtu/memonet | 92 | Remember intentions: retrospective-memory-based trajectory prediction | https://scholar.google.com/scholar?cluster=8617365985309626194&hl=en&as_sdt=0,5 | 4 | 2,022 |
Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision | 8 | cvpr | 46,271 | 1,204 | 2023-06-03 15:10:51.678000 | https://github.com/tensorflow/models | 75,886 | Contextualized spatio-temporal contrastive learning with self-supervision | https://scholar.google.com/scholar?cluster=13207353650961441981&hl=en&as_sdt=0,33 | 2,774 | 2,022 |
FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing | 4 | cvpr | 0 | 0 | 2023-06-03 15:10:51.872000 | https://github.com/floatseg/floatseg.github.io | 0 | Float: Factorized learning of object attributes for improved multi-object multi-part scene parsing | https://scholar.google.com/scholar?cluster=14572531130161976236&hl=en&as_sdt=0,22 | 0 | 2,022 |
SPAct: Self-Supervised Privacy Preservation for Action Recognition | 14 | cvpr | 0 | 4 | 2023-06-03 15:10:52.065000 | https://github.com/daveishan/spact | 16 | Spact: Self-supervised privacy preservation for action recognition | https://scholar.google.com/scholar?cluster=5134352976127146556&hl=en&as_sdt=0,33 | 1 | 2,022 |
FocusCut: Diving Into a Focus View in Interactive Segmentation | 15 | cvpr | 4 | 3 | 2023-06-03 15:10:52.259000 | https://github.com/frazerlin/focuscut | 18 | Focuscut: Diving into a focus view in interactive segmentation | https://scholar.google.com/scholar?cluster=15635194282665947002&hl=en&as_sdt=0,5 | 1 | 2,022 |
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning | 34 | cvpr | 18 | 2 | 2023-06-03 15:10:52.454000 | https://github.com/Liangqiong/ViT-FL-main | 67 | Rethinking architecture design for tackling data heterogeneity in federated learning | https://scholar.google.com/scholar?cluster=11871442867624728681&hl=en&as_sdt=0,33 | 4 | 2,022 |
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