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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 |
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