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Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds
| 56 |
cvpr
| 15 | 4 |
2023-06-03 14:30:06.906000
|
https://github.com/cheng052/BRNet
| 89 |
Back-tracing representative points for voting-based 3d object detection in point clouds
|
https://scholar.google.com/scholar?cluster=5172119343963315393&hl=en&as_sdt=0,5
| 3 | 2,021 |
Rotation Equivariant Siamese Networks for Tracking
| 27 |
cvpr
| 1 | 4 |
2023-06-03 14:30:07.101000
|
https://github.com/dkgupta90/re-siamnet
| 25 |
Rotation equivariant siamese networks for tracking
|
https://scholar.google.com/scholar?cluster=2650574729569060906&hl=en&as_sdt=0,10
| 8 | 2,021 |
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
| 43 |
cvpr
| 7 | 4 |
2023-06-03 14:30:07.295000
|
https://github.com/weiyithu/PV-RAFT
| 47 |
Pv-raft: Point-voxel correlation fields for scene flow estimation of point clouds
|
https://scholar.google.com/scholar?cluster=997486946043239338&hl=en&as_sdt=0,5
| 3 | 2,021 |
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
| 52 |
cvpr
| 45 | 1 |
2023-06-03 14:30:07.489000
|
https://github.com/csjliang/LPTN
| 386 |
High-resolution photorealistic image translation in real-time: A laplacian pyramid translation network
|
https://scholar.google.com/scholar?cluster=14166501793789279224&hl=en&as_sdt=0,5
| 12 | 2,021 |
Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features
| 59 |
cvpr
| 12 | 22 |
2023-06-03 14:30:07.684000
|
https://github.com/frederickszk/LRNet
| 72 |
Improving the efficiency and robustness of deepfakes detection through precise geometric features
|
https://scholar.google.com/scholar?cluster=18274114420858694149&hl=en&as_sdt=0,5
| 2 | 2,021 |
End-to-End Video Instance Segmentation With Transformers
| 487 |
cvpr
| 95 | 25 |
2023-06-03 14:30:07.878000
|
https://github.com/Epiphqny/VisTR
| 704 |
End-to-end video instance segmentation with transformers
|
https://scholar.google.com/scholar?cluster=10424310778620231784&hl=en&as_sdt=0,48
| 12 | 2,021 |
PatchmatchNet: Learned Multi-View Patchmatch Stereo
| 133 |
cvpr
| 63 | 8 |
2023-06-03 14:30:08.072000
|
https://github.com/FangjinhuaWang/PatchmatchNet
| 424 |
Patchmatchnet: Learned multi-view patchmatch stereo
|
https://scholar.google.com/scholar?cluster=18322732022474881641&hl=en&as_sdt=0,16
| 10 | 2,021 |
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches
| 31 |
cvpr
| 8 | 5 |
2023-06-03 14:30:08.266000
|
https://github.com/bennyguo/sketch2model
| 36 |
Sketch2model: View-aware 3d modeling from single free-hand sketches
|
https://scholar.google.com/scholar?cluster=4931108810150583856&hl=en&as_sdt=0,47
| 4 | 2,021 |
A Second-Order Approach to Learning With Instance-Dependent Label Noise
| 71 |
cvpr
| 9 | 2 |
2023-06-03 14:30:08.461000
|
https://github.com/UCSC-REAL/CAL
| 45 |
A second-order approach to learning with instance-dependent label noise
|
https://scholar.google.com/scholar?cluster=9161510088364032397&hl=en&as_sdt=0,31
| 3 | 2,021 |
Taming Transformers for High-Resolution Image Synthesis
| 851 |
cvpr
| 931 | 129 |
2023-06-03 14:30:08.654000
|
https://github.com/CompVis/taming-transformers
| 4,299 |
Taming transformers for high-resolution image synthesis
|
https://scholar.google.com/scholar?cluster=12650581806598225058&hl=en&as_sdt=0,5
| 75 | 2,021 |
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
| 154 |
cvpr
| 157 | 44 |
2023-06-03 14:30:08.849000
|
https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS
| 771 |
Pose-controllable talking face generation by implicitly modularized audio-visual representation
|
https://scholar.google.com/scholar?cluster=16709572247327062137&hl=en&as_sdt=0,36
| 21 | 2,021 |
Learning the Predictability of the Future
| 44 |
cvpr
| 24 | 0 |
2023-06-03 14:30:09.043000
|
https://github.com/cvlab-columbia/hyperfuture
| 149 |
Learning the predictability of the future
|
https://scholar.google.com/scholar?cluster=16527013686624401149&hl=en&as_sdt=0,33
| 12 | 2,021 |
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
| 90 |
cvpr
| 60 | 1 |
2023-06-03 14:30:09.248000
|
https://github.com/hkchengrex/MiVOS
| 398 |
Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion
|
https://scholar.google.com/scholar?cluster=14171505212158565986&hl=en&as_sdt=0,5
| 14 | 2,021 |
Robust Point Cloud Registration Framework Based on Deep Graph Matching
| 99 |
cvpr
| 13 | 8 |
2023-06-03 14:30:09.442000
|
https://github.com/fukexue/RGM
| 93 |
Robust point cloud registration framework based on deep graph matching
|
https://scholar.google.com/scholar?cluster=14668089237724280371&hl=en&as_sdt=0,5
| 6 | 2,021 |
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction
| 150 |
cvpr
| 29 | 5 |
2023-06-03 14:30:09.636000
|
https://github.com/XLearning-SCU/2021-CVPR-Completer
| 85 |
Completer: Incomplete multi-view clustering via contrastive prediction
|
https://scholar.google.com/scholar?cluster=12580655597958281447&hl=en&as_sdt=0,11
| 3 | 2,021 |
Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation
| 12 |
cvpr
| 4 | 2 |
2023-06-03 14:30:09.830000
|
https://github.com/amazon-research/read-up
| 8 |
Learning better visual dialog agents with pretrained visual-linguistic representation
|
https://scholar.google.com/scholar?cluster=17634548932371863893&hl=en&as_sdt=0,44
| 2 | 2,021 |
Image-to-Image Translation via Hierarchical Style Disentanglement
| 59 |
cvpr
| 50 | 15 |
2023-06-03 14:30:10.024000
|
https://github.com/imlixinyang/HiSD
| 365 |
Image-to-image translation via hierarchical style disentanglement
|
https://scholar.google.com/scholar?cluster=14902320438514616115&hl=en&as_sdt=0,5
| 7 | 2,021 |
Restoring Extremely Dark Images in Real Time
| 27 |
cvpr
| 22 | 7 |
2023-06-03 14:30:10.218000
|
https://github.com/MohitLamba94/Restoring-Extremely-Dark-Images-In-Real-Time
| 129 |
Restoring extremely dark images in real time
|
https://scholar.google.com/scholar?cluster=17820256892745594301&hl=en&as_sdt=0,3
| 10 | 2,021 |
What Can Style Transfer and Paintings Do for Model Robustness?
| 9 |
cvpr
| 0 | 0 |
2023-06-03 14:30:10.413000
|
https://github.com/hubertsgithub/style_painting_robustness
| 4 |
What can style transfer and paintings do for model robustness?
|
https://scholar.google.com/scholar?cluster=11744425304200168858&hl=en&as_sdt=0,22
| 2 | 2,021 |
DeepSurfels: Learning Online Appearance Fusion
| 10 |
cvpr
| 7 | 1 |
2023-06-03 14:30:10.607000
|
https://github.com/onlinereconstruction/deep_surfels
| 59 |
DeepSurfels: Learning online appearance fusion
|
https://scholar.google.com/scholar?cluster=712300087980113706&hl=en&as_sdt=0,32
| 5 | 2,021 |
Unbiased Mean Teacher for Cross-Domain Object Detection
| 133 |
cvpr
| 8 | 4 |
2023-06-03 14:30:10.802000
|
https://github.com/kinredon/umt
| 72 |
Unbiased mean teacher for cross-domain object detection
|
https://scholar.google.com/scholar?cluster=16143837810291267401&hl=en&as_sdt=0,35
| 6 | 2,021 |
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
| 94 |
cvpr
| 12 | 30 |
2023-06-03 14:30:10.996000
|
https://github.com/Bohao-Lee/CME
| 58 |
Beyond max-margin: Class margin equilibrium for few-shot object detection
|
https://scholar.google.com/scholar?cluster=2030833382199618587&hl=en&as_sdt=0,33
| 1 | 2,021 |
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation
| 21 |
cvpr
| 3 | 6 |
2023-06-03 14:30:11.191000
|
https://github.com/HYOJINPARK/Reuse_VOS
| 23 |
Learning dynamic network using a reuse gate function in semi-supervised video object segmentation
|
https://scholar.google.com/scholar?cluster=13940373744389019037&hl=en&as_sdt=0,10
| 4 | 2,021 |
FSDR: Frequency Space Domain Randomization for Domain Generalization
| 100 |
cvpr
| 4 | 4 |
2023-06-03 14:30:11.384000
|
https://github.com/jxhuang0508/FSDR
| 29 |
Fsdr: Frequency space domain randomization for domain generalization
|
https://scholar.google.com/scholar?cluster=13379053152992456686&hl=en&as_sdt=0,33
| 2 | 2,021 |
PLOP: Learning Without Forgetting for Continual Semantic Segmentation
| 107 |
cvpr
| 22 | 6 |
2023-06-03 14:30:11.579000
|
https://github.com/arthurdouillard/CVPR2021_PLOP
| 124 |
Plop: Learning without forgetting for continual semantic segmentation
|
https://scholar.google.com/scholar?cluster=7315634125927972961&hl=en&as_sdt=0,5
| 4 | 2,021 |
Teachers Do More Than Teach: Compressing Image-to-Image Models
| 30 |
cvpr
| 18 | 4 |
2023-06-03 14:30:11.773000
|
https://github.com/snap-research/CAT
| 164 |
Teachers do more than teach: Compressing image-to-image models
|
https://scholar.google.com/scholar?cluster=8225246153105742254&hl=en&as_sdt=0,5
| 8 | 2,021 |
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing
| 36 |
cvpr
| 7 | 6 |
2023-06-03 14:30:11.967000
|
https://github.com/rucmlcv/L2M-GAN
| 53 |
L2m-gan: Learning to manipulate latent space semantics for facial attribute editing
|
https://scholar.google.com/scholar?cluster=12602747068550124262&hl=en&as_sdt=0,10
| 3 | 2,021 |
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
| 13 |
cvpr
| 10 | 0 |
2023-06-03 14:30:12.161000
|
https://github.com/siyandong/NeuralRouting
| 66 |
Robust neural routing through space partitions for camera relocalization in dynamic indoor environments
|
https://scholar.google.com/scholar?cluster=9962218736530737887&hl=en&as_sdt=0,5
| 9 | 2,021 |
Understanding Failures of Deep Networks via Robust Feature Extraction
| 42 |
cvpr
| 3 | 0 |
2023-06-03 14:30:12.355000
|
https://github.com/singlasahil14/barlow
| 34 |
Understanding failures of deep networks via robust feature extraction
|
https://scholar.google.com/scholar?cluster=10378262686408966783&hl=en&as_sdt=0,33
| 1 | 2,021 |
Learning Temporal Consistency for Low Light Video Enhancement From Single Images
| 50 |
cvpr
| 20 | 6 |
2023-06-03 14:30:12.550000
|
https://github.com/zkawfanx/StableLLVE
| 109 |
Learning temporal consistency for low light video enhancement from single images
|
https://scholar.google.com/scholar?cluster=3430684384737804668&hl=en&as_sdt=0,5
| 8 | 2,021 |
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
| 41 |
cvpr
| 2 | 2 |
2023-06-03 14:30:12.743000
|
https://github.com/astuti/ILA-DA
| 22 |
Instance level affinity-based transfer for unsupervised domain adaptation
|
https://scholar.google.com/scholar?cluster=6192092144156470763&hl=en&as_sdt=0,5
| 5 | 2,021 |
Anchor-Free Person Search
| 67 |
cvpr
| 32 | 7 |
2023-06-03 14:30:12.937000
|
https://github.com/daodaofr/AlignPS
| 160 |
Anchor-free person search
|
https://scholar.google.com/scholar?cluster=370980907530218862&hl=en&as_sdt=0,36
| 4 | 2,021 |
Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
| 27 |
cvpr
| 6 | 4 |
2023-06-03 14:30:13.132000
|
https://github.com/azuki-miho/RFCR
| 22 |
Omni-supervised point cloud segmentation via gradual receptive field component reasoning
|
https://scholar.google.com/scholar?cluster=9475016043088711593&hl=en&as_sdt=0,3
| 2 | 2,021 |
Shallow Feature Matters for Weakly Supervised Object Localization
| 50 |
cvpr
| 8 | 2 |
2023-06-03 14:30:13.325000
|
https://github.com/weijun88/SPOL
| 21 |
Shallow feature matters for weakly supervised object localization
|
https://scholar.google.com/scholar?cluster=3339581433972365106&hl=en&as_sdt=0,26
| 1 | 2,021 |
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words
| 117 |
cvpr
| 29 | 2 |
2023-06-03 14:30:13.520000
|
https://github.com/zhangxuying1004/RSTNet
| 99 |
Rstnet: Captioning with adaptive attention on visual and non-visual words
|
https://scholar.google.com/scholar?cluster=5068866602340287584&hl=en&as_sdt=0,14
| 3 | 2,021 |
PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors
| 115 |
cvpr
| 16 | 8 |
2023-06-03 14:30:13.713000
|
https://github.com/zychen-ustc/PSD-Principled-Synthetic-to-Real-Dehazing-Guided-by-Physical-Priors
| 88 |
PSD: Principled synthetic-to-real dehazing guided by physical priors
|
https://scholar.google.com/scholar?cluster=3301317357252121587&hl=en&as_sdt=0,33
| 2 | 2,021 |
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
| 59 |
cvpr
| 20 | 1 |
2023-06-03 14:30:13.907000
|
https://github.com/facebookresearch/AttentiveNAS
| 96 |
Attentivenas: Improving neural architecture search via attentive sampling
|
https://scholar.google.com/scholar?cluster=8315277370906805362&hl=en&as_sdt=0,5
| 9 | 2,021 |
Multiresolution Knowledge Distillation for Anomaly Detection
| 173 |
cvpr
| 20 | 0 |
2023-06-03 14:30:14.101000
|
https://github.com/Niousha12/Knowledge_Distillation_AD
| 50 |
Multiresolution knowledge distillation for anomaly detection
|
https://scholar.google.com/scholar?cluster=12042429450923024445&hl=en&as_sdt=0,34
| 0 | 2,021 |
Towards Evaluating and Training Verifiably Robust Neural Networks
| 16 |
cvpr
| 0 | 2 |
2023-06-03 14:30:14.295000
|
https://github.com/ZhaoyangLyu/VerifiablyRobustNN
| 15 |
Towards evaluating and training verifiably robust neural networks
|
https://scholar.google.com/scholar?cluster=7927009820415851005&hl=en&as_sdt=0,5
| 2 | 2,021 |
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training
| 40 |
cvpr
| 3 | 0 |
2023-06-03 14:30:14.490000
|
https://github.com/islam-nassar/semco
| 43 |
All labels are not created equal: Enhancing semi-supervision via label grouping and co-training
|
https://scholar.google.com/scholar?cluster=12399027302616476471&hl=en&as_sdt=0,33
| 3 | 2,021 |
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
| 32 |
cvpr
| 5 | 2 |
2023-06-03 14:30:14.684000
|
https://github.com/youngfly11/ReIR-WeaklyGrounding.pytorch
| 22 |
Relation-aware instance refinement for weakly supervised visual grounding
|
https://scholar.google.com/scholar?cluster=12243869184345891895&hl=en&as_sdt=0,5
| 2 | 2,021 |
PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths
| 99 |
cvpr
| 12 | 9 |
2023-06-03 14:30:14.878000
|
https://github.com/diviswen/PMP-Net
| 37 |
Pmp-net: Point cloud completion by learning multi-step point moving paths
|
https://scholar.google.com/scholar?cluster=3446048452262850232&hl=en&as_sdt=0,44
| 2 | 2,021 |
Spatially-Invariant Style-Codes Controlled Makeup Transfer
| 28 |
cvpr
| 36 | 13 |
2023-06-03 14:30:15.072000
|
https://github.com/makeuptransfer/SCGAN
| 128 |
Spatially-invariant style-codes controlled makeup transfer
|
https://scholar.google.com/scholar?cluster=5979466171705280461&hl=en&as_sdt=0,5
| 5 | 2,021 |
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning
| 18 |
cvpr
| 13 | 1 |
2023-06-03 14:30:15.267000
|
https://github.com/dornik/reagent
| 40 |
Reagent: Point cloud registration using imitation and reinforcement learning
|
https://scholar.google.com/scholar?cluster=12039411482069665809&hl=en&as_sdt=0,33
| 2 | 2,021 |
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
| 122 |
cvpr
| 27 | 5 |
2023-06-03 14:30:15.462000
|
https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation
| 146 |
Few-shot segmentation without meta-learning: A good transductive inference is all you need?
|
https://scholar.google.com/scholar?cluster=16904542927834091495&hl=en&as_sdt=0,5
| 8 | 2,021 |
Neural Scene Graphs for Dynamic Scenes
| 121 |
cvpr
| 28 | 6 |
2023-06-03 14:30:15.655000
|
https://github.com/princeton-computational-imaging/neural-scene-graphs
| 184 |
Neural scene graphs for dynamic scenes
|
https://scholar.google.com/scholar?cluster=6249527695742813290&hl=en&as_sdt=0,5
| 7 | 2,021 |
Lite-HRNet: A Lightweight High-Resolution Network
| 144 |
cvpr
| 115 | 58 |
2023-06-03 14:30:15.849000
|
https://github.com/HRNet/Lite-HRNet
| 724 |
Lite-hrnet: A lightweight high-resolution network
|
https://scholar.google.com/scholar?cluster=10774532196436088435&hl=en&as_sdt=0,5
| 21 | 2,021 |
Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning
| 38 |
cvpr
| 19 | 0 |
2023-06-03 14:30:16.043000
|
https://github.com/amzn/image-to-recipe-transformers
| 75 |
Revamping cross-modal recipe retrieval with hierarchical transformers and self-supervised learning
|
https://scholar.google.com/scholar?cluster=3856631632033542711&hl=en&as_sdt=0,5
| 6 | 2,021 |
Semantic Palette: Guiding Scene Generation With Class Proportions
| 2 |
cvpr
| 3 | 0 |
2023-06-03 14:30:16.238000
|
https://github.com/valeoai/SemanticPalette
| 24 |
Semantic palette: Guiding scene generation with class proportions
|
https://scholar.google.com/scholar?cluster=17263626928391641174&hl=en&as_sdt=0,3
| 3 | 2,021 |
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers
| 1,614 |
cvpr
| 145 | 10 |
2023-06-03 14:30:16.432000
|
https://github.com/fudan-zvg/SETR
| 939 |
Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
|
https://scholar.google.com/scholar?cluster=2013933719074368496&hl=en&as_sdt=0,5
| 35 | 2,021 |
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes
| 9 |
cvpr
| 18 | 6 |
2023-06-03 14:30:16.626000
|
https://github.com/hlei-ziyan/Picasso
| 103 |
Picasso: A cuda-based library for deep learning over 3d meshes
|
https://scholar.google.com/scholar?cluster=16489285615655819626&hl=en&as_sdt=0,5
| 13 | 2,021 |
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality
| 24 |
cvpr
| 9 | 3 |
2023-06-03 14:30:16.820000
|
https://github.com/affect2mm/emotion-timeseries
| 11 |
Affect2mm: Affective analysis of multimedia content using emotion causality
|
https://scholar.google.com/scholar?cluster=17792171219469660003&hl=en&as_sdt=0,19
| 1 | 2,021 |
Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers
| 101 |
cvpr
| 67 | 9 |
2023-06-03 14:30:17.014000
|
https://github.com/lkeab/BCNet
| 459 |
Deep occlusion-aware instance segmentation with overlapping bilayers
|
https://scholar.google.com/scholar?cluster=15732260026637551039&hl=en&as_sdt=0,5
| 9 | 2,021 |
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective
| 70 |
cvpr
| 6 | 0 |
2023-06-03 14:30:17.208000
|
https://github.com/jeremy313/Soteria
| 39 |
Soteria: Provable defense against privacy leakage in federated learning from representation perspective
|
https://scholar.google.com/scholar?cluster=1639045703363354875&hl=en&as_sdt=0,39
| 2 | 2,021 |
Learning Optical Flow From Still Images
| 23 |
cvpr
| 11 | 1 |
2023-06-03 14:30:17.402000
|
https://github.com/mattpoggi/depthstillation
| 141 |
Learning optical flow from still images
|
https://scholar.google.com/scholar?cluster=16680029073395272488&hl=en&as_sdt=0,5
| 3 | 2,021 |
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera
| 39 |
cvpr
| 84 | 2 |
2023-06-03 14:30:17.596000
|
https://github.com/Brummi/MonoRec
| 531 |
MonoRec: Semi-supervised dense reconstruction in dynamic environments from a single moving camera
|
https://scholar.google.com/scholar?cluster=12286893036914513750&hl=en&as_sdt=0,21
| 27 | 2,021 |
Linguistic Structures As Weak Supervision for Visual Scene Graph Generation
| 27 |
cvpr
| 4 | 0 |
2023-06-03 14:30:17.807000
|
https://github.com/yekeren/WSSGG
| 35 |
Linguistic structures as weak supervision for visual scene graph generation
|
https://scholar.google.com/scholar?cluster=15867273824482740665&hl=en&as_sdt=0,43
| 2 | 2,021 |
From Shadow Generation To Shadow Removal
| 40 |
cvpr
| 8 | 6 |
2023-06-03 14:30:18.002000
|
https://github.com/hhqweasd/G2R-ShadowNet
| 41 |
From shadow generation to shadow removal
|
https://scholar.google.com/scholar?cluster=8295209265303745577&hl=en&as_sdt=0,39
| 3 | 2,021 |
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
| 120 |
cvpr
| 16 | 10 |
2023-06-03 14:30:18.196000
|
https://github.com/jbeomlee93/AdvCAM
| 114 |
Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=11730723595404757151&hl=en&as_sdt=0,31
| 2 | 2,021 |
SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization
| 8 |
cvpr
| 0 | 2 |
2023-06-03 15:10:22.685000
|
https://github.com/canjie-luo/real-300k
| 29 |
SimAN: exploring self-supervised representation learning of scene text via similarity-aware normalization
|
https://scholar.google.com/scholar?cluster=8731827534213223271&hl=en&as_sdt=0,44
| 3 | 2,022 |
Estimating Example Difficulty Using Variance of Gradients
| 41 |
cvpr
| 6 | 0 |
2023-06-03 15:10:22.879000
|
https://github.com/chirag126/VOG
| 55 |
Estimating example difficulty using variance of gradients
|
https://scholar.google.com/scholar?cluster=11875282308322336079&hl=en&as_sdt=0,26
| 3 | 2,022 |
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
| 35 |
cvpr
| 12 | 3 |
2023-06-03 15:10:23.137000
|
https://github.com/usr922/wseg
| 114 |
Weakly supervised semantic segmentation by pixel-to-prototype contrast
|
https://scholar.google.com/scholar?cluster=9426593234701255657&hl=en&as_sdt=0,10
| 2 | 2,022 |
Learning Adaptive Warping for Real-World Rolling Shutter Correction
| 5 |
cvpr
| 2 | 0 |
2023-06-03 15:10:23.356000
|
https://github.com/ljzycmd/bsrsc
| 25 |
Learning adaptive warping for real-world rolling shutter correction
|
https://scholar.google.com/scholar?cluster=16345027106223087803&hl=en&as_sdt=0,36
| 3 | 2,022 |
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification
| 16 |
cvpr
| 2 | 0 |
2023-06-03 15:10:23.590000
|
https://github.com/LouieYang/MCL
| 38 |
Learning to affiliate: Mutual centralized learning for few-shot classification
|
https://scholar.google.com/scholar?cluster=14447790618194656650&hl=en&as_sdt=0,3
| 3 | 2,022 |
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
| 9 |
cvpr
| 5 | 1 |
2023-06-03 15:10:23.836000
|
https://github.com/nvlabs/bongard-hoi
| 49 |
Bongard-hoi: Benchmarking few-shot visual reasoning for human-object interactions
|
https://scholar.google.com/scholar?cluster=9397175359738479859&hl=en&as_sdt=0,33
| 7 | 2,022 |
Recurrent Dynamic Embedding for Video Object Segmentation
| 14 |
cvpr
| 6 | 3 |
2023-06-03 15:10:24.072000
|
https://github.com/limingxing00/rde-vos-cvpr2022
| 31 |
Recurrent dynamic embedding for video object segmentation
|
https://scholar.google.com/scholar?cluster=748792613032702791&hl=en&as_sdt=0,33
| 3 | 2,022 |
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
| 10 |
cvpr
| 0 | 3 |
2023-06-03 15:10:24.312000
|
https://github.com/dkxocl/rosseta
| 4 |
Continual object detection via prototypical task correlation guided gating mechanism
|
https://scholar.google.com/scholar?cluster=12695099468525271301&hl=en&as_sdt=0,5
| 1 | 2,022 |
Deep Hierarchical Semantic Segmentation
| 35 |
cvpr
| 22 | 6 |
2023-06-03 15:10:24.522000
|
https://github.com/0liliulei/hieraseg
| 229 |
Deep hierarchical semantic segmentation
|
https://scholar.google.com/scholar?cluster=15631366303943962005&hl=en&as_sdt=0,21
| 9 | 2,022 |
DATA: Domain-Aware and Task-Aware Self-Supervised Learning
| 3 |
cvpr
| 3 | 3 |
2023-06-03 15:10:24.767000
|
https://github.com/gaia-vision/gaia-ssl
| 18 |
DATA: Domain-Aware and Task-Aware Self-supervised Learning
|
https://scholar.google.com/scholar?cluster=10551788358785783150&hl=en&as_sdt=0,34
| 2 | 2,022 |
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds
| 41 |
cvpr
| 16 | 12 |
2023-06-03 15:10:25.015000
|
https://github.com/skyhehe123/voxset
| 165 |
Voxel set transformer: A set-to-set approach to 3d object detection from point clouds
|
https://scholar.google.com/scholar?cluster=509520809209241334&hl=en&as_sdt=0,5
| 3 | 2,022 |
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
| 134 |
cvpr
| 149 | 1 |
2023-06-03 15:10:25.289000
|
https://github.com/cvg/nice-slam
| 1,021 |
Nice-slam: Neural implicit scalable encoding for slam
|
https://scholar.google.com/scholar?cluster=2376705359809252522&hl=en&as_sdt=0,14
| 34 | 2,022 |
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
| 29 |
cvpr
| 12 | 2 |
2023-06-03 15:10:25.484000
|
https://github.com/gutianpei/mid
| 98 |
Stochastic trajectory prediction via motion indeterminacy diffusion
|
https://scholar.google.com/scholar?cluster=8008640819060084074&hl=en&as_sdt=0,33
| 9 | 2,022 |
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
| 25 |
cvpr
| 0 | 3 |
2023-06-03 15:10:25.690000
|
https://github.com/xduxyli/scen-master
| 16 |
Siamese contrastive embedding network for compositional zero-shot learning
|
https://scholar.google.com/scholar?cluster=381868240874280468&hl=en&as_sdt=0,14
| 2 | 2,022 |
Cross-Modal Map Learning for Vision and Language Navigation
| 13 |
cvpr
| 2 | 4 |
2023-06-03 15:10:25.893000
|
https://github.com/ggeorgak11/cm2
| 22 |
Cross-modal map learning for vision and language navigation
|
https://scholar.google.com/scholar?cluster=10974280323957175956&hl=en&as_sdt=0,5
| 3 | 2,022 |
Do Learned Representations Respect Causal Relationships?
| 2 |
cvpr
| 2 | 1 |
2023-06-03 15:10:26.132000
|
https://github.com/human-analysis/causal-relations-between-representations
| 16 |
Do learned representations respect causal relationships?
|
https://scholar.google.com/scholar?cluster=5558982647399599200&hl=en&as_sdt=0,47
| 2 | 2,022 |
ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation
| 27 |
cvpr
| 10 | 6 |
2023-06-03 15:10:26.379000
|
https://github.com/suyz526/zebrapose
| 64 |
Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation
|
https://scholar.google.com/scholar?cluster=12848982769215820402&hl=en&as_sdt=0,33
| 9 | 2,022 |
Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding
| 41 |
cvpr
| 30 | 1 |
2023-06-03 15:10:26.611000
|
https://github.com/dqiaole/zits_inpainting
| 235 |
Incremental transformer structure enhanced image inpainting with masking positional encoding
|
https://scholar.google.com/scholar?cluster=12152435237473254275&hl=en&as_sdt=0,43
| 13 | 2,022 |
Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
| 50 |
cvpr
| 11 | 7 |
2023-06-03 15:10:26.831000
|
https://github.com/xulianuwa/mctformer
| 96 |
Multi-class token transformer for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=9207086502844896554&hl=en&as_sdt=0,5
| 5 | 2,022 |
CRIS: CLIP-Driven Referring Image Segmentation
| 68 |
cvpr
| 31 | 5 |
2023-06-03 15:10:27.054000
|
https://github.com/DerrickWang005/CRIS.pytorch
| 167 |
Cris: Clip-driven referring image segmentation
|
https://scholar.google.com/scholar?cluster=12396058489435840533&hl=en&as_sdt=0,41
| 2 | 2,022 |
CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image
| 19 |
cvpr
| 7 | 10 |
2023-06-03 15:10:27.325000
|
https://github.com/reyhanehne/cvf-sid_pytorch
| 48 |
CVF-SID: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image
|
https://scholar.google.com/scholar?cluster=12432404920328258294&hl=en&as_sdt=0,5
| 1 | 2,022 |
FaceFormer: Speech-Driven 3D Facial Animation With Transformers
| 36 |
cvpr
| 103 | 53 |
2023-06-03 15:10:27.548000
|
https://github.com/EvelynFan/FaceFormer
| 504 |
Faceformer: Speech-driven 3d facial animation with transformers
|
https://scholar.google.com/scholar?cluster=4890874188830606098&hl=en&as_sdt=0,39
| 10 | 2,022 |
Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots
| 28 |
cvpr
| 11 | 2 |
2023-06-03 15:10:27.807000
|
https://github.com/demonsjin/blind2unblind
| 81 |
Blind2unblind: Self-supervised image denoising with visible blind spots
|
https://scholar.google.com/scholar?cluster=11607429091423964704&hl=en&as_sdt=0,5
| 2 | 2,022 |
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
| 49 |
cvpr
| 10 | 1 |
2023-06-03 15:10:28.059000
|
https://github.com/ybzh/efdm
| 126 |
Exact feature distribution matching for arbitrary style transfer and domain generalization
|
https://scholar.google.com/scholar?cluster=11528215253653754225&hl=en&as_sdt=0,5
| 4 | 2,022 |
Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
| 23 |
cvpr
| 3 | 2 |
2023-06-03 15:10:28.263000
|
https://github.com/jcy132/Hneg_SRC
| 46 |
Exploring patch-wise semantic relation for contrastive learning in image-to-image translation tasks
|
https://scholar.google.com/scholar?cluster=6005655039000553018&hl=en&as_sdt=0,11
| 5 | 2,022 |
CLRNet: Cross Layer Refinement Network for Lane Detection
| 27 |
cvpr
| 75 | 78 |
2023-06-03 15:10:28.482000
|
https://github.com/Turoad/clrnet
| 318 |
Clrnet: Cross layer refinement network for lane detection
|
https://scholar.google.com/scholar?cluster=11442601300141569813&hl=en&as_sdt=0,25
| 11 | 2,022 |
Balanced and Hierarchical Relation Learning for One-Shot Object Detection
| 3 |
cvpr
| 7 | 5 |
2023-06-03 15:10:28.716000
|
https://github.com/hero-y/bhrl
| 35 |
Balanced and hierarchical relation learning for one-shot object detection
|
https://scholar.google.com/scholar?cluster=12345820201585228534&hl=en&as_sdt=0,5
| 1 | 2,022 |
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts
| 40 |
cvpr
| 6 | 3 |
2023-06-03 15:10:28.937000
|
https://github.com/Phoenix1153/ViT_OOD_generalization
| 80 |
Delving deep into the generalization of vision transformers under distribution shifts
|
https://scholar.google.com/scholar?cluster=3383711996123690231&hl=en&as_sdt=0,10
| 3 | 2,022 |
LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network
| 10 |
cvpr
| 5 | 0 |
2023-06-03 15:10:29.170000
|
https://github.com/zhigangjiang/LGT-Net
| 50 |
Lgt-net: Indoor panoramic room layout estimation with geometry-aware transformer network
|
https://scholar.google.com/scholar?cluster=11535993822419894663&hl=en&as_sdt=0,36
| 2 | 2,022 |
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
| 15 |
cvpr
| 12 | 11 |
2023-06-03 15:10:29.379000
|
https://github.com/jiahao-uts/slpt-master
| 79 |
Sparse local patch transformer for robust face alignment and landmarks inherent relation learning
|
https://scholar.google.com/scholar?cluster=12559311512689037820&hl=en&as_sdt=0,34
| 3 | 2,022 |
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging
| 21 |
cvpr
| 7 | 6 |
2023-06-03 15:10:29.595000
|
https://github.com/mark12ding/fame
| 38 |
Motion-aware contrastive video representation learning via foreground-background merging
|
https://scholar.google.com/scholar?cluster=6148259841571528152&hl=en&as_sdt=0,3
| 3 | 2,022 |
SIOD: Single Instance Annotated per Category per Image for Object Detection
| 6 |
cvpr
| 0 | 2 |
2023-06-03 15:10:29.831000
|
https://github.com/solicucu/siod
| 19 |
SIOD: single instance annotated per category per image for object detection
|
https://scholar.google.com/scholar?cluster=16538856504701001407&hl=en&as_sdt=0,5
| 3 | 2,022 |
Uformer: A General U-Shaped Transformer for Image Restoration
| 416 |
cvpr
| 94 | 33 |
2023-06-03 15:10:30.031000
|
https://github.com/ZhendongWang6/Uformer
| 587 |
Uformer: A general u-shaped transformer for image restoration
|
https://scholar.google.com/scholar?cluster=14031000766044293652&hl=en&as_sdt=0,5
| 13 | 2,022 |
Accelerating DETR Convergence via Semantic-Aligned Matching
| 34 |
cvpr
| 45 | 10 |
2023-06-03 15:10:30.278000
|
https://github.com/zhanggongjie/sam-detr
| 261 |
Accelerating DETR convergence via semantic-aligned matching
|
https://scholar.google.com/scholar?cluster=6658129475220097194&hl=en&as_sdt=0,19
| 10 | 2,022 |
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
| 18 |
cvpr
| 7 | 12 |
2023-06-03 15:10:30.483000
|
https://github.com/ttlmh/bridge-prompt
| 74 |
Bridge-prompt: Towards ordinal action understanding in instructional videos
|
https://scholar.google.com/scholar?cluster=4812875950233018558&hl=en&as_sdt=0,33
| 3 | 2,022 |
Vision Transformer With Deformable Attention
| 113 |
cvpr
| 49 | 11 |
2023-06-03 15:10:30.711000
|
https://github.com/leaplabthu/dat
| 497 |
Vision transformer with deformable attention
|
https://scholar.google.com/scholar?cluster=11231231375435598889&hl=en&as_sdt=0,5
| 10 | 2,022 |
High-Resolution Face Swapping via Latent Semantics Disentanglement
| 22 |
cvpr
| 5 | 8 |
2023-06-03 15:10:30.948000
|
https://github.com/cnnlstm/fslsd_hires
| 78 |
High-resolution face swapping via latent semantics disentanglement
|
https://scholar.google.com/scholar?cluster=13488189955819125408&hl=en&as_sdt=0,5
| 8 | 2,022 |
SimMatch: Semi-Supervised Learning With Similarity Matching
| 51 |
cvpr
| 8 | 0 |
2023-06-03 15:10:31.154000
|
https://github.com/kylezheng1997/simmatch
| 71 |
Simmatch: Semi-supervised learning with similarity matching
|
https://scholar.google.com/scholar?cluster=9332236623932380397&hl=en&as_sdt=0,23
| 2 | 2,022 |
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
| 9 |
cvpr
| 7 | 0 |
2023-06-03 15:10:31.373000
|
https://github.com/open-air-sun/cerberus
| 65 |
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
|
https://scholar.google.com/scholar?cluster=13536647247810424831&hl=en&as_sdt=0,5
| 3 | 2,022 |
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes
| 11 |
cvpr
| 0 | 0 |
2023-06-03 15:10:31.575000
|
https://github.com/twhui/rm-depth
| 33 |
Rm-depth: Unsupervised learning of recurrent monocular depth in dynamic scenes
|
https://scholar.google.com/scholar?cluster=4268400877815672740&hl=en&as_sdt=0,5
| 14 | 2,022 |
Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish
| 9 |
cvpr
| 5 | 1 |
2023-06-03 15:10:31.779000
|
https://github.com/yanconglin/vanishingpoint_houghtransform_gaussiansphere
| 48 |
Deep vanishing point detection: Geometric priors make dataset variations vanish
|
https://scholar.google.com/scholar?cluster=17537664596776285133&hl=en&as_sdt=0,10
| 2 | 2,022 |
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