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MLCVNet: Multi-Level Context VoteNet for 3D Object Detection | 131 | cvpr | 21 | 7 | 2023-06-03 02:43:57.281000 | https://github.com/NUAAXQ/MLCVNet | 112 | Mlcvnet: Multi-level context votenet for 3d object detection | https://scholar.google.com/scholar?cluster=14781375345905617472&hl=en&as_sdt=0,39 | 10 | 2,020 |
Learning Human-Object Interaction Detection Using Interaction Points | 165 | cvpr | 8 | 9 | 2023-06-03 02:43:57.482000 | https://github.com/vaesl/IP-Net | 62 | Learning human-object interaction detection using interaction points | https://scholar.google.com/scholar?cluster=13827556198416012643&hl=en&as_sdt=0,11 | 7 | 2,020 |
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning | 60 | cvpr | 6 | 2 | 2023-06-03 02:43:57.683000 | https://github.com/hbdat/cvpr20_LESA | 28 | A shared multi-attention framework for multi-label zero-shot learning | https://scholar.google.com/scholar?cluster=7359095780115295946&hl=en&as_sdt=0,31 | 1 | 2,020 |
Cross-Domain Detection via Graph-Induced Prototype Alignment | 156 | cvpr | 26 | 19 | 2023-06-03 02:43:57.883000 | https://github.com/ChrisAllenMing/GPA-detection | 137 | Cross-domain detection via graph-induced prototype alignment | https://scholar.google.com/scholar?cluster=9977969504391211037&hl=en&as_sdt=0,44 | 5 | 2,020 |
PatchVAE: Learning Local Latent Codes for Recognition | 12 | cvpr | 3 | 0 | 2023-06-03 02:43:58.084000 | https://github.com/kampta/PatchVAE | 12 | Patchvae: Learning local latent codes for recognition | https://scholar.google.com/scholar?cluster=10744669028405220428&hl=en&as_sdt=0,11 | 4 | 2,020 |
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation | 152 | cvpr | 46 | 12 | 2023-06-03 02:43:58.286000 | https://github.com/HKUSTCV/FSS-1000 | 261 | Fss-1000: A 1000-class dataset for few-shot segmentation | https://scholar.google.com/scholar?cluster=12936364313646977622&hl=en&as_sdt=0,14 | 9 | 2,020 |
Sparse Layered Graphs for Multi-Object Segmentation | 10 | cvpr | 2 | 0 | 2023-06-03 02:43:58.487000 | https://github.com/Skielex/slgbuilder | 10 | Sparse layered graphs for multi-object segmentation | https://scholar.google.com/scholar?cluster=11639383520162863993&hl=en&as_sdt=0,10 | 3 | 2,020 |
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers | 54 | cvpr | 8 | 1 | 2023-06-03 02:43:58.689000 | https://github.com/shadyabh/Correction-Filter | 75 | Correction filter for single image super-resolution: Robustifying off-the-shelf deep super-resolvers | https://scholar.google.com/scholar?cluster=16558424903454447853&hl=en&as_sdt=0,5 | 4 | 2,020 |
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy | 109 | cvpr | 64 | 10 | 2023-06-03 02:43:58.890000 | https://github.com/clovaai/cutblur | 356 | Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy | https://scholar.google.com/scholar?cluster=16893001131009571410&hl=en&as_sdt=0,10 | 10 | 2,020 |
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning | 188 | cvpr | 13 | 0 | 2023-06-03 02:43:59.090000 | https://github.com/TAMU-VITA/Adv-SS-Pretraining | 84 | Adversarial robustness: From self-supervised pre-training to fine-tuning | https://scholar.google.com/scholar?cluster=2685889870924243279&hl=en&as_sdt=0,1 | 13 | 2,020 |
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space | 14 | cvpr | 4 | 1 | 2023-06-03 02:43:59.291000 | https://github.com/sugarruy/hashstash | 16 | Evade deep image retrieval by stashing private images in the hash space | https://scholar.google.com/scholar?cluster=2766915326915312003&hl=en&as_sdt=0,5 | 4 | 2,020 |
Efficient Adversarial Training With Transferable Adversarial Examples | 96 | cvpr | 3 | 1 | 2023-06-03 02:43:59.492000 | https://github.com/hzzheng93/ATTA | 27 | Efficient adversarial training with transferable adversarial examples | https://scholar.google.com/scholar?cluster=10116870602000967496&hl=en&as_sdt=0,5 | 3 | 2,020 |
Adversarial Texture Optimization From RGB-D Scans | 33 | cvpr | 19 | 4 | 2023-06-03 02:43:59.692000 | https://github.com/hjwdzh/AdversarialTexture | 163 | Adversarial texture optimization from rgb-d scans | https://scholar.google.com/scholar?cluster=11576262765951327420&hl=en&as_sdt=0,44 | 8 | 2,020 |
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning | 81 | cvpr | 2 | 6 | 2023-06-03 02:43:59.893000 | https://github.com/wl082013/ESIM_dataset | 21 | Eventsr: From asynchronous events to image reconstruction, restoration, and super-resolution via end-to-end adversarial learning | https://scholar.google.com/scholar?cluster=10954799606774079335&hl=en&as_sdt=0,36 | 3 | 2,020 |
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization | 490 | cvpr | 1,301 | 70 | 2023-06-03 02:44:00.093000 | https://github.com/facebookresearch/pifuhd | 8,945 | Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization | https://scholar.google.com/scholar?cluster=16275007157366291386&hl=en&as_sdt=0,5 | 266 | 2,020 |
Quaternion Product Units for Deep Learning on 3D Rotation Groups | 15 | cvpr | 10 | 1 | 2023-06-03 02:44:00.294000 | https://github.com/IICNELAB/qpu_code | 16 | Quaternion product units for deep learning on 3d rotation groups | https://scholar.google.com/scholar?cluster=8054638911070751421&hl=en&as_sdt=0,5 | 3 | 2,020 |
3D Human Mesh Regression With Dense Correspondence | 73 | cvpr | 22 | 6 | 2023-06-03 02:44:00.495000 | https://github.com/zengwang430521/DecoMR | 154 | 3d human mesh regression with dense correspondence | https://scholar.google.com/scholar?cluster=5377351887090632981&hl=en&as_sdt=0,11 | 13 | 2,020 |
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations | 30 | cvpr | 3 | 1 | 2023-06-03 02:44:00.696000 | https://github.com/lokhande-vishnu/DeepHermites | 8 | Generating accurate pseudo-labels in semi-supervised learning and avoiding overconfident predictions via hermite polynomial activations | https://scholar.google.com/scholar?cluster=17979825889785008433&hl=en&as_sdt=0,5 | 3 | 2,020 |
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation | 112 | cvpr | 5 | 0 | 2023-06-03 02:44:00.897000 | https://github.com/chaoyanghe/MiLeNAS | 34 | Milenas: Efficient neural architecture search via mixed-level reformulation | https://scholar.google.com/scholar?cluster=12625516063246584324&hl=en&as_sdt=0,21 | 4 | 2,020 |
Optimizing Rank-Based Metrics With Blackbox Differentiation | 64 | cvpr | 35 | 3 | 2023-06-03 02:44:01.097000 | https://github.com/martius-lab/blackbox-backprop | 317 | Optimizing rank-based metrics with blackbox differentiation | https://scholar.google.com/scholar?cluster=2799751332391317366&hl=en&as_sdt=0,33 | 15 | 2,020 |
G-TAD: Sub-Graph Localization for Temporal Action Detection | 328 | cvpr | 43 | 16 | 2023-06-03 02:44:01.298000 | https://github.com/Frostinassiky/gtad | 213 | G-tad: Sub-graph localization for temporal action detection | https://scholar.google.com/scholar?cluster=1780881352175640648&hl=en&as_sdt=0,5 | 7 | 2,020 |
Revisiting Knowledge Distillation via Label Smoothing Regularization | 375 | cvpr | 67 | 19 | 2023-06-03 02:44:01.505000 | https://github.com/yuanli2333/Teacher-free-Knowledge-Distillation | 527 | Revisiting knowledge distillation via label smoothing regularization | https://scholar.google.com/scholar?cluster=5502369757820696222&hl=en&as_sdt=0,5 | 11 | 2,020 |
Learning Saliency Propagation for Semi-Supervised Instance Segmentation | 28 | cvpr | 14 | 4 | 2023-06-03 02:44:01.706000 | https://github.com/ucbdrive/ShapeProp | 66 | Learning saliency propagation for semi-supervised instance segmentation | https://scholar.google.com/scholar?cluster=6199731630177168377&hl=en&as_sdt=0,48 | 8 | 2,020 |
Rethinking Differentiable Search for Mixed-Precision Neural Networks | 68 | cvpr | 11 | 1 | 2023-06-03 02:44:01.907000 | https://github.com/zhaoweicai/EdMIPS | 50 | Rethinking differentiable search for mixed-precision neural networks | https://scholar.google.com/scholar?cluster=5254475888489897434&hl=en&as_sdt=0,5 | 4 | 2,020 |
MUXConv: Information Multiplexing in Convolutional Neural Networks | 51 | cvpr | 9 | 3 | 2023-06-03 02:44:02.108000 | https://github.com/human-analysis/MUXConv | 49 | MUXConv: Information multiplexing in convolutional neural networks | https://scholar.google.com/scholar?cluster=17564910799442188996&hl=en&as_sdt=0,33 | 6 | 2,020 |
SAM: The Sensitivity of Attribution Methods to Hyperparameters | 63 | cvpr | 4 | 15 | 2023-06-03 02:44:02.309000 | https://github.com/anguyen8/sam | 23 | Sam: The sensitivity of attribution methods to hyperparameters | https://scholar.google.com/scholar?cluster=7414406041821135002&hl=en&as_sdt=0,21 | 5 | 2,020 |
Structure-Guided Ranking Loss for Single Image Depth Prediction | 115 | cvpr | 16 | 0 | 2023-06-03 02:44:02.511000 | https://github.com/KexianHust/Structure-Guided-Ranking-Loss | 166 | Structure-guided ranking loss for single image depth prediction | https://scholar.google.com/scholar?cluster=5448057750815052914&hl=en&as_sdt=0,5 | 18 | 2,020 |
RGBD-Dog: Predicting Canine Pose from RGBD Sensors | 47 | cvpr | 9 | 3 | 2023-06-03 02:44:02.711000 | https://github.com/CAMERA-Bath/RGBD-Dog | 67 | Rgbd-dog: Predicting canine pose from rgbd sensors | https://scholar.google.com/scholar?cluster=15122996766672244993&hl=en&as_sdt=0,36 | 10 | 2,020 |
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction | 38 | cvpr | 17 | 0 | 2023-06-03 02:44:02.913000 | https://github.com/zhangfuyang/Conv-MPN | 58 | Conv-mpn: Convolutional message passing neural network for structured outdoor architecture reconstruction | https://scholar.google.com/scholar?cluster=6212304619705946777&hl=en&as_sdt=0,32 | 6 | 2,020 |
Transform and Tell: Entity-Aware News Image Captioning | 70 | cvpr | 16 | 42 | 2023-06-03 02:44:03.114000 | https://github.com/alasdairtran/transform-and-tell | 84 | Transform and tell: Entity-aware news image captioning | https://scholar.google.com/scholar?cluster=6182572831401296024&hl=en&as_sdt=0,5 | 7 | 2,020 |
Novel Object Viewpoint Estimation Through Reconstruction Alignment | 14 | cvpr | 2 | 1 | 2023-06-03 02:44:03.316000 | https://github.com/mbanani/novelviewpoints | 24 | Novel object viewpoint estimation through reconstruction alignment | https://scholar.google.com/scholar?cluster=1379678199160520280&hl=en&as_sdt=0,11 | 6 | 2,020 |
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning | 55 | cvpr | 15 | 7 | 2023-06-03 02:44:03.516000 | https://github.com/bhpfelix/MTLNAS | 87 | Mtl-nas: Task-agnostic neural architecture search towards general-purpose multi-task learning | https://scholar.google.com/scholar?cluster=7724792473692841645&hl=en&as_sdt=0,33 | 4 | 2,020 |
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion | 343 | cvpr | 73 | 10 | 2023-06-03 02:44:03.717000 | https://github.com/NVlabs/DeepInversion | 435 | Dreaming to distill: Data-free knowledge transfer via deepinversion | https://scholar.google.com/scholar?cluster=17947318923388038070&hl=en&as_sdt=0,22 | 24 | 2,020 |
12-in-1: Multi-Task Vision and Language Representation Learning | 392 | cvpr | 173 | 68 | 2023-06-03 02:44:03.917000 | https://github.com/facebookresearch/vilbert-multi-task | 737 | 12-in-1: Multi-task vision and language representation learning | https://scholar.google.com/scholar?cluster=17276757515931533114&hl=en&as_sdt=0,10 | 18 | 2,020 |
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss | 107 | cvpr | 8 | 2 | 2023-06-03 02:44:04.119000 | https://github.com/XJTU-XGU/RSDA | 46 | Spherical space domain adaptation with robust pseudo-label loss | https://scholar.google.com/scholar?cluster=15723344580851800354&hl=en&as_sdt=0,34 | 2 | 2,020 |
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction | 163 | cvpr | 42 | 24 | 2023-06-03 02:44:04.320000 | https://github.com/vincent-leguen/PhyDNet | 151 | Disentangling physical dynamics from unknown factors for unsupervised video prediction | https://scholar.google.com/scholar?cluster=3187614519519145968&hl=en&as_sdt=0,5 | 5 | 2,020 |
MPM: Joint Representation of Motion and Position Map for Cell Tracking | 25 | cvpr | 10 | 5 | 2023-06-03 02:44:04.522000 | https://github.com/JunyaHayashida/MPM | 39 | MPM: Joint representation of motion and position map for cell tracking | https://scholar.google.com/scholar?cluster=5585726339120198281&hl=en&as_sdt=0,5 | 5 | 2,020 |
AdderNet: Do We Really Need Multiplications in Deep Learning? | 173 | cvpr | 187 | 10 | 2023-06-03 02:44:04.722000 | https://github.com/huawei-noah/AdderNet | 928 | AdderNet: Do we really need multiplications in deep learning? | https://scholar.google.com/scholar?cluster=1315923257821143156&hl=en&as_sdt=0,5 | 27 | 2,020 |
Adaptive Interaction Modeling via Graph Operations Search | 4 | cvpr | 4 | 1 | 2023-06-03 02:44:04.923000 | https://github.com/lihaoxin05/graph-operations-search | 6 | Adaptive interaction modeling via graph operations search | https://scholar.google.com/scholar?cluster=9691540853165665997&hl=en&as_sdt=0,5 | 5 | 2,020 |
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking | 462 | cvpr | 60 | 63 | 2023-06-03 02:44:05.124000 | https://github.com/ohhhyeahhh/SiamCAR | 295 | SiamCAR: Siamese fully convolutional classification and regression for visual tracking | https://scholar.google.com/scholar?cluster=12328462444653843486&hl=en&as_sdt=0,33 | 9 | 2,020 |
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision | 611 | cvpr | 94 | 10 | 2023-06-03 02:44:05.325000 | https://github.com/autonomousvision/differentiable_volumetric_rendering | 729 | Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision | https://scholar.google.com/scholar?cluster=16450344488388654177&hl=en&as_sdt=0,31 | 30 | 2,020 |
Deep Image Spatial Transformation for Person Image Generation | 129 | cvpr | 87 | 30 | 2023-06-03 02:44:05.526000 | https://github.com/RenYurui/Global-Flow-Local-Attention | 515 | Deep image spatial transformation for person image generation | https://scholar.google.com/scholar?cluster=10864013708930309356&hl=en&as_sdt=0,5 | 21 | 2,020 |
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition | 523 | cvpr | 97 | 20 | 2023-06-03 02:44:05.728000 | https://github.com/Megvii-Nanjing/BBN | 636 | Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition | https://scholar.google.com/scholar?cluster=2739380849236064029&hl=en&as_sdt=0,33 | 13 | 2,020 |
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching | 391 | cvpr | 92 | 23 | 2023-06-03 02:44:05.929000 | https://github.com/alibaba/cascade-stereo | 391 | Cascade cost volume for high-resolution multi-view stereo and stereo matching | https://scholar.google.com/scholar?cluster=9695190812968922429&hl=en&as_sdt=0,33 | 17 | 2,020 |
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement | 130 | cvpr | 33 | 13 | 2023-06-03 02:44:06.130000 | https://github.com/svip-lab/FastMVSNet | 224 | Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement | https://scholar.google.com/scholar?cluster=12192964191212481924&hl=en&as_sdt=0,26 | 12 | 2,020 |
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection | 141 | cvpr | 47 | 10 | 2023-06-03 02:44:06.332000 | https://github.com/KiveeDong/CentripetalNet | 223 | Centripetalnet: Pursuing high-quality keypoint pairs for object detection | https://scholar.google.com/scholar?cluster=13900810289030899435&hl=en&as_sdt=0,26 | 18 | 2,020 |
Cascaded Human-Object Interaction Recognition | 99 | cvpr | 12 | 9 | 2023-06-03 02:44:06.532000 | https://github.com/tfzhou/C-HOI | 82 | Cascaded human-object interaction recognition | https://scholar.google.com/scholar?cluster=10048896405579556840&hl=en&as_sdt=0,33 | 6 | 2,020 |
Mixture Dense Regression for Object Detection and Human Pose Estimation | 46 | cvpr | 6 | 0 | 2023-06-03 02:44:06.733000 | https://github.com/alivaramesh/MixtureDenseRegression | 42 | Mixture dense regression for object detection and human pose estimation | https://scholar.google.com/scholar?cluster=5003169344396550385&hl=en&as_sdt=0,5 | 5 | 2,020 |
Holistically-Attracted Wireframe Parsing | 65 | cvpr | 39 | 18 | 2023-06-03 02:44:06.934000 | https://github.com/cherubicXN/hawp | 215 | Holistically-attracted wireframe parsing | https://scholar.google.com/scholar?cluster=15871210373020514810&hl=en&as_sdt=0,47 | 10 | 2,020 |
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance | 17 | cvpr | 0 | 1 | 2023-06-03 02:44:07.136000 | https://github.com/jspenmar/DejaVu_Features | 9 | Same features, different day: Weakly supervised feature learning for seasonal invariance | https://scholar.google.com/scholar?cluster=13048297637119443031&hl=en&as_sdt=0,26 | 1 | 2,020 |
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing | 360 | cvpr | 58 | 13 | 2023-06-03 02:44:07.336000 | https://github.com/Andrew-Qibin/SPNet | 355 | Strip pooling: Rethinking spatial pooling for scene parsing | https://scholar.google.com/scholar?cluster=16538960727323461264&hl=en&as_sdt=0,5 | 15 | 2,020 |
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion | 332 | cvpr | 55 | 8 | 2023-06-03 02:44:07.537000 | https://github.com/jchibane/if-net | 283 | Implicit functions in feature space for 3d shape reconstruction and completion | https://scholar.google.com/scholar?cluster=11768232612646772794&hl=en&as_sdt=0,5 | 16 | 2,020 |
Detection in Crowded Scenes: One Proposal, Multiple Predictions | 136 | cvpr | 43 | 5 | 2023-06-03 02:44:07.738000 | https://github.com/megvii-model/CrowdDetection | 262 | Detection in crowded scenes: One proposal, multiple predictions | https://scholar.google.com/scholar?cluster=9218039804576410988&hl=en&as_sdt=0,5 | 19 | 2,020 |
Background Data Resampling for Outlier-Aware Classification | 37 | cvpr | 1 | 0 | 2023-06-03 02:44:07.938000 | https://github.com/JerryYLi/bg-resample-ood | 13 | Background data resampling for outlier-aware classification | https://scholar.google.com/scholar?cluster=10437181063059310257&hl=en&as_sdt=0,33 | 2 | 2,020 |
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus | 37 | cvpr | 11 | 2 | 2023-06-03 02:44:08.139000 | https://github.com/fkluger/consac | 68 | Consac: Robust multi-model fitting by conditional sample consensus | https://scholar.google.com/scholar?cluster=967274997783584946&hl=en&as_sdt=0,5 | 4 | 2,020 |
Prime Sample Attention in Object Detection | 174 | cvpr | 8,690 | 798 | 2023-06-03 02:44:08.340000 | https://github.com/open-mmlab/mmdetection | 24,399 | Prime sample attention in object detection | https://scholar.google.com/scholar?cluster=6048989535795009016&hl=en&as_sdt=0,5 | 372 | 2,020 |
Deep Global Registration | 297 | cvpr | 78 | 24 | 2023-06-03 02:44:08.541000 | https://github.com/chrischoy/DeepGlobalRegistration | 387 | Deep global registration | https://scholar.google.com/scholar?cluster=3957673094669575297&hl=en&as_sdt=0,5 | 17 | 2,020 |
CycleISP: Real Image Restoration via Improved Data Synthesis | 217 | cvpr | 69 | 18 | 2023-06-03 02:44:08.742000 | https://github.com/swz30/CycleISP | 424 | Cycleisp: Real image restoration via improved data synthesis | https://scholar.google.com/scholar?cluster=1474804572170916004&hl=en&as_sdt=0,5 | 14 | 2,020 |
A Neural Rendering Framework for Free-Viewpoint Relighting | 39 | cvpr | 24 | 3 | 2023-06-03 02:44:08.943000 | https://github.com/LansburyCH/relightable-nr | 111 | A neural rendering framework for free-viewpoint relighting | https://scholar.google.com/scholar?cluster=10863703419409180355&hl=en&as_sdt=0,5 | 7 | 2,020 |
Attribution in Scale and Space | 45 | cvpr | 185 | 10 | 2023-06-03 02:44:09.144000 | https://github.com/PAIR-code/saliency | 880 | Attribution in scale and space | https://scholar.google.com/scholar?cluster=7442498288685739469&hl=en&as_sdt=0,33 | 25 | 2,020 |
Enhancing Generic Segmentation With Learned Region Representations | 4 | cvpr | 2 | 4 | 2023-06-03 02:44:09.346000 | https://github.com/oranshayer/BRRF | 12 | Enhancing generic segmentation with learned region representations | https://scholar.google.com/scholar?cluster=3896983794037035396&hl=en&as_sdt=0,5 | 4 | 2,020 |
Neural Cages for Detail-Preserving 3D Deformations | 91 | cvpr | 15 | 7 | 2023-06-03 02:44:09.547000 | https://github.com/yifita/deep_cage | 142 | Neural cages for detail-preserving 3d deformations | https://scholar.google.com/scholar?cluster=6261969056096986815&hl=en&as_sdt=0,5 | 6 | 2,020 |
Probabilistic Regression for Visual Tracking | 386 | cvpr | 577 | 55 | 2023-06-03 02:44:09.749000 | https://github.com/visionml/pytracking | 2,782 | Probabilistic regression for visual tracking | https://scholar.google.com/scholar?cluster=6281152651769068818&hl=en&as_sdt=0,29 | 90 | 2,020 |
What's Hidden in a Randomly Weighted Neural Network? | 218 | cvpr | 46 | 2 | 2023-06-03 02:44:09.950000 | https://github.com/allenai/hidden-networks | 163 | What's hidden in a randomly weighted neural network? | https://scholar.google.com/scholar?cluster=6624809615226595906&hl=en&as_sdt=0,33 | 10 | 2,020 |
3DRegNet: A Deep Neural Network for 3D Point Registration | 139 | cvpr | 4 | 0 | 2023-06-03 02:44:10.151000 | https://github.com/3DVisionISR/3DRegNet | 16 | 3dregnet: A deep neural network for 3d point registration | https://scholar.google.com/scholar?cluster=3816272348608544416&hl=en&as_sdt=0,36 | 1 | 2,020 |
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation | 221 | cvpr | 12 | 4 | 2023-06-03 02:44:10.352000 | https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation | 104 | Learning texture invariant representation for domain adaptation of semantic segmentation | https://scholar.google.com/scholar?cluster=15670126703790116454&hl=en&as_sdt=0,33 | 4 | 2,020 |
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation | 51 | cvpr | 4 | 3 | 2023-06-03 02:44:10.553000 | https://github.com/MohsenFayyaz89/SCT | 35 | Sct: Set constrained temporal transformer for set supervised action segmentation | https://scholar.google.com/scholar?cluster=1378334690484097467&hl=en&as_sdt=0,10 | 6 | 2,020 |
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization | 421 | cvpr | 95 | 35 | 2023-06-03 02:44:10.754000 | https://github.com/ZPdesu/SEAN | 602 | Sean: Image synthesis with semantic region-adaptive normalization | https://scholar.google.com/scholar?cluster=2104429242148966186&hl=en&as_sdt=0,33 | 15 | 2,020 |
VQA With No Questions-Answers Training | 8 | cvpr | 0 | 1 | 2023-06-03 02:44:10.954000 | https://github.com/benyv/uncord | 1 | Vqa with no questions-answers training | https://scholar.google.com/scholar?cluster=16069231097021534730&hl=en&as_sdt=0,5 | 3 | 2,020 |
Neural Blind Deconvolution Using Deep Priors | 197 | cvpr | 62 | 14 | 2023-06-03 02:44:11.175000 | https://github.com/csdwren/SelfDeblur | 293 | Neural blind deconvolution using deep priors | https://scholar.google.com/scholar?cluster=6899142045391649307&hl=en&as_sdt=0,33 | 15 | 2,020 |
Detailed 2D-3D Joint Representation for Human-Object Interaction | 102 | cvpr | 14 | 8 | 2023-06-03 02:44:11.377000 | https://github.com/DirtyHarryLYL/DJ-RN | 96 | Detailed 2d-3d joint representation for human-object interaction | https://scholar.google.com/scholar?cluster=11861118822179618604&hl=en&as_sdt=0,5 | 11 | 2,020 |
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings | 9 | cvpr | 3 | 1 | 2023-06-03 02:44:11.578000 | https://github.com/cvlab-epfl/diff-nrsfm | 17 | Local non-rigid structure-from-motion from diffeomorphic mappings | https://scholar.google.com/scholar?cluster=11064244025488128133&hl=en&as_sdt=0,19 | 5 | 2,020 |
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions | 508 | cvpr | 80 | 1 | 2023-06-03 02:44:11.779000 | https://github.com/Sha-Lab/FEAT | 366 | Few-shot learning via embedding adaptation with set-to-set functions | https://scholar.google.com/scholar?cluster=9786897578293679610&hl=en&as_sdt=0,7 | 12 | 2,020 |
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks | 2,247 | cvpr | 182 | 26 | 2023-06-03 02:44:11.989000 | https://github.com/BangguWu/ECANet | 1,028 | ECA-Net: Efficient channel attention for deep convolutional neural networks | https://scholar.google.com/scholar?cluster=13737649200143445048&hl=en&as_sdt=0,5 | 14 | 2,020 |
Deep Semantic Clustering by Partition Confidence Maximisation | 101 | cvpr | 17 | 1 | 2023-06-03 02:44:12.196000 | https://github.com/Raymond-sci/PICA | 53 | Deep semantic clustering by partition confidence maximisation | https://scholar.google.com/scholar?cluster=6078940806271466041&hl=en&as_sdt=0,5 | 1 | 2,020 |
A Transductive Approach for Video Object Segmentation | 97 | cvpr | 30 | 10 | 2023-06-03 02:44:12.398000 | https://github.com/microsoft/transductive-vos.pytorch | 149 | A transductive approach for video object segmentation | https://scholar.google.com/scholar?cluster=534821762532266868&hl=en&as_sdt=0,5 | 9 | 2,020 |
DR Loss: Improving Object Detection by Distributional Ranking | 76 | cvpr | 14 | 0 | 2023-06-03 02:44:12.599000 | https://github.com/idstcv/DR_loss | 109 | Dr loss: Improving object detection by distributional ranking | https://scholar.google.com/scholar?cluster=18326797209723533866&hl=en&as_sdt=0,5 | 8 | 2,020 |
MAST: A Memory-Augmented Self-Supervised Tracker | 137 | cvpr | 31 | 15 | 2023-06-03 02:44:12.799000 | https://github.com/zlai0/MAST | 273 | Mast: A memory-augmented self-supervised tracker | https://scholar.google.com/scholar?cluster=1908673153164515114&hl=en&as_sdt=0,11 | 25 | 2,020 |
Neural Head Reenactment with Latent Pose Descriptors | 78 | cvpr | 31 | 5 | 2023-06-03 02:44:13 | https://github.com/shrubb/latent-pose-reenactment | 152 | Neural head reenactment with latent pose descriptors | https://scholar.google.com/scholar?cluster=11120247729778519421&hl=en&as_sdt=0,5 | 5 | 2,020 |
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting | 228 | cvpr | 69 | 8 | 2023-06-03 02:44:13.201000 | https://github.com/Atlas200dk/sample-imageinpainting-HiFill | 364 | Contextual residual aggregation for ultra high-resolution image inpainting | https://scholar.google.com/scholar?cluster=8936335924604323718&hl=en&as_sdt=0,5 | 17 | 2,020 |
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification | 22 | cvpr | 1 | 1 | 2023-06-03 02:44:13.403000 | https://github.com/cradleai/LKS-Dataset | 12 | Sos: Selective objective switch for rapid immunofluorescence whole slide image classification | https://scholar.google.com/scholar?cluster=10809390358237486911&hl=en&as_sdt=0,5 | 4 | 2,020 |
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification | 101 | cvpr | 23 | 2 | 2023-06-03 02:44:13.603000 | https://github.com/daodaofr/hypergraph_reid | 67 | Learning multi-granular hypergraphs for video-based person re-identification | https://scholar.google.com/scholar?cluster=6478543107852893556&hl=en&as_sdt=0,11 | 5 | 2,020 |
Hierarchical Human Parsing With Typed Part-Relation Reasoning | 77 | cvpr | 12 | 13 | 2023-06-03 02:44:13.804000 | https://github.com/hlzhu09/Hierarchical-Human-Parsing | 72 | Hierarchical human parsing with typed part-relation reasoning | https://scholar.google.com/scholar?cluster=17781925622971932642&hl=en&as_sdt=0,33 | 6 | 2,020 |
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem | 23 | cvpr | 3 | 4 | 2023-06-03 02:44:14.005000 | https://github.com/mattdl/DUA | 12 | Unsupervised model personalization while preserving privacy and scalability: An open problem | https://scholar.google.com/scholar?cluster=7018250340528729671&hl=en&as_sdt=0,33 | 2 | 2,020 |
High-Resolution Daytime Translation Without Domain Labels | 92 | cvpr | 89 | 8 | 2023-06-03 02:44:14.206000 | https://github.com/saic-mdal/HiDT | 636 | High-resolution daytime translation without domain labels | https://scholar.google.com/scholar?cluster=15814694608739833766&hl=en&as_sdt=0,47 | 99 | 2,020 |
Learning From Noisy Anchors for One-Stage Object Detection | 76 | cvpr | 1 | 0 | 2023-06-03 02:44:14.408000 | https://github.com/henrylee2570/NoisyAnchor | 23 | Learning from noisy anchors for one-stage object detection | https://scholar.google.com/scholar?cluster=8421028904073023623&hl=en&as_sdt=0,22 | 2 | 2,020 |
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes | 32 | cvpr | 2 | 0 | 2023-06-03 02:44:14.609000 | https://github.com/val-iisc/BPFC | 21 | Towards achieving adversarial robustness by enforcing feature consistency across bit planes | https://scholar.google.com/scholar?cluster=10791013047041036720&hl=en&as_sdt=0,44 | 14 | 2,020 |
Non-Adversarial Video Synthesis With Learned Priors | 23 | cvpr | 0 | 1 | 2023-06-03 02:44:14.810000 | https://github.com/abhishekaich27/Navsynth | 4 | Non-adversarial video synthesis with learned priors | https://scholar.google.com/scholar?cluster=2635339579718874365&hl=en&as_sdt=0,39 | 3 | 2,020 |
Deep Homography Estimation for Dynamic Scenes | 79 | cvpr | 11 | 4 | 2023-06-03 02:44:15.011000 | https://github.com/lcmhoang/hmg-dynamics | 43 | Deep homography estimation for dynamic scenes | https://scholar.google.com/scholar?cluster=17448649820923859538&hl=en&as_sdt=0,5 | 9 | 2,020 |
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints | 1 | cvpr | 1 | 0 | 2023-06-03 02:44:15.212000 | https://github.com/EmbodiedVision/cosection | 3 | Where does it end?-reasoning about hidden surfaces by object intersection constraints | https://scholar.google.com/scholar?cluster=14780516586087573485&hl=en&as_sdt=0,34 | 3 | 2,020 |
Fast MSER | 1 | cvpr | 5 | 2 | 2023-06-03 02:44:15.412000 | https://github.com/mmmn143/fast-mser | 17 | Fast MSER | https://scholar.google.com/scholar?cluster=1426168970821321107&hl=en&as_sdt=0,5 | 3 | 2,020 |
Epipolar Transformers | 101 | cvpr | 35 | 4 | 2023-06-03 02:44:15.613000 | https://github.com/yihui-he/epipolar-transformers | 383 | Epipolar transformers | https://scholar.google.com/scholar?cluster=14521805966318682246&hl=en&as_sdt=0,5 | 22 | 2,020 |
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar | 79 | cvpr | 3 | 2 | 2023-06-03 02:44:15.815000 | https://github.com/princeton-computational-imaging/doppler_nlos | 13 | Seeing around street corners: Non-line-of-sight detection and tracking in-the-wild using doppler radar | https://scholar.google.com/scholar?cluster=18077408996955912252&hl=en&as_sdt=0,15 | 2 | 2,020 |
Correlating Edge, Pose With Parsing | 43 | cvpr | 18 | 7 | 2023-06-03 02:44:16.016000 | https://github.com/ziwei-zh/CorrPM | 104 | Correlating edge, pose with parsing | https://scholar.google.com/scholar?cluster=1249196707410768460&hl=en&as_sdt=0,48 | 5 | 2,020 |
Weakly Supervised Visual Semantic Parsing | 43 | cvpr | 6 | 21 | 2023-06-03 02:44:16.217000 | https://github.com/alirezazareian/vspnet | 35 | Weakly supervised visual semantic parsing | https://scholar.google.com/scholar?cluster=5224934209806605662&hl=en&as_sdt=0,5 | 5 | 2,020 |
Bringing Old Photos Back to Life | 132 | cvpr | 1,641 | 83 | 2023-06-03 02:44:16.418000 | https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life | 12,360 | Bringing old photos back to life | https://scholar.google.com/scholar?cluster=6924315392770430435&hl=en&as_sdt=0,23 | 273 | 2,020 |
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion | 47 | cvpr | 9 | 0 | 2023-06-03 02:44:16.619000 | https://github.com/csxmli2016/ASFFNet | 90 | Enhanced blind face restoration with multi-exemplar images and adaptive spatial feature fusion | https://scholar.google.com/scholar?cluster=18272265346622228958&hl=en&as_sdt=0,5 | 21 | 2,020 |
BachGAN: High-Resolution Image Synthesis From Salient Object Layout | 38 | cvpr | 11 | 3 | 2023-06-03 02:44:16.819000 | https://github.com/Cold-Winter/BachGAN | 60 | Bachgan: High-resolution image synthesis from salient object layout | https://scholar.google.com/scholar?cluster=2484771831244859100&hl=en&as_sdt=0,39 | 4 | 2,020 |
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion | 420 | cvpr | 65 | 27 | 2023-06-03 02:44:17.021000 | https://github.com/BookerDeWitt/MSBDN-DFF | 281 | Multi-scale boosted dehazing network with dense feature fusion | https://scholar.google.com/scholar?cluster=8683783233230065640&hl=en&as_sdt=0,47 | 7 | 2,020 |
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather | 201 | cvpr | 51 | 14 | 2023-06-03 02:44:17.223000 | https://github.com/princeton-computational-imaging/SeeingThroughFog | 211 | Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather | https://scholar.google.com/scholar?cluster=18130577232349887859&hl=en&as_sdt=0,5 | 13 | 2,020 |
Subsets and Splits