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|---|---|---|---|---|---|---|---|---|---|---|---|
OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation
| 9
|
cvpr
| 1
| 0
|
2023-06-03 15:11:31.633000
|
https://github.com/dingdingcai/ove6d-pose
| 40
|
OVE6D: Object viewpoint encoding for depth-based 6D object pose estimation
|
https://scholar.google.com/scholar?cluster=3482949006972018064&hl=en&as_sdt=0,33
| 2
| 2,022
|
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
| 25
|
cvpr
| 10
| 3
|
2023-06-03 15:11:31.827000
|
https://github.com/cgcl-codes/amt-gan
| 50
|
Protecting facial privacy: generating adversarial identity masks via style-robust makeup transfer
|
https://scholar.google.com/scholar?cluster=3562262560419959176&hl=en&as_sdt=0,5
| 2
| 2,022
|
Surface Representation for Point Clouds
| 45
|
cvpr
| 23
| 10
|
2023-06-03 15:11:32.020000
|
https://github.com/hancyran/RepSurf
| 291
|
Surface representation for point clouds
|
https://scholar.google.com/scholar?cluster=16356578138709083224&hl=en&as_sdt=0,10
| 7
| 2,022
|
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
| 7
|
cvpr
| 2
| 3
|
2023-06-03 15:11:32.214000
|
https://github.com/mcg-nju/ddm
| 37
|
Progressive attention on multi-level dense difference maps for generic event boundary detection
|
https://scholar.google.com/scholar?cluster=16948962825604969208&hl=en&as_sdt=0,19
| 2
| 2,022
|
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
| 24
|
cvpr
| 3
| 3
|
2023-06-03 15:11:32.408000
|
https://github.com/pose-group/fami-pose
| 31
|
Temporal feature alignment and mutual information maximization for video-based human pose estimation
|
https://scholar.google.com/scholar?cluster=16375178533019515072&hl=en&as_sdt=0,5
| 3
| 2,022
|
DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
| 6
|
cvpr
| 41
| 0
|
2023-06-03 15:11:32.602000
|
https://github.com/nadeemlab/deepliif
| 93
|
DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
|
https://scholar.google.com/scholar?cluster=10654659031128175256&hl=en&as_sdt=0,5
| 6
| 2,022
|
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
| 20
|
cvpr
| 7
| 9
|
2023-06-03 15:11:32.795000
|
https://github.com/adobe-research/sam_inversion
| 162
|
Spatially-adaptive multilayer selection for gan inversion and editing
|
https://scholar.google.com/scholar?cluster=7575642883414053316&hl=en&as_sdt=0,7
| 9
| 2,022
|
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
| 13
|
cvpr
| 8
| 0
|
2023-06-03 15:11:32.989000
|
https://github.com/facebookresearch/SWAG
| 151
|
Revisiting weakly supervised pre-training of visual perception models
|
https://scholar.google.com/scholar?cluster=2449052747833361751&hl=en&as_sdt=0,23
| 7
| 2,022
|
Joint Global and Local Hierarchical Priors for Learned Image Compression
| 18
|
cvpr
| 0
| 1
|
2023-06-03 15:11:33.184000
|
https://github.com/naver-ai/informer
| 15
|
Joint global and local hierarchical priors for learned image compression
|
https://scholar.google.com/scholar?cluster=7421054896403806364&hl=en&as_sdt=0,21
| 3
| 2,022
|
Optical Flow Estimation for Spiking Camera
| 16
|
cvpr
| 3
| 1
|
2023-06-03 15:11:33.378000
|
https://github.com/acnext/optical-flow-for-spiking-camera
| 27
|
Optical flow estimation for spiking camera
|
https://scholar.google.com/scholar?cluster=12653261529232305450&hl=en&as_sdt=0,44
| 2
| 2,022
|
Image Segmentation Using Text and Image Prompts
| 41
|
cvpr
| 62
| 1
|
2023-06-03 15:11:33.571000
|
https://github.com/timojl/clipseg
| 687
|
Image segmentation using text and image prompts
|
https://scholar.google.com/scholar?cluster=3090742342199483621&hl=en&as_sdt=0,5
| 11
| 2,022
|
Towards Robust Adaptive Object Detection Under Noisy Annotations
| 10
|
cvpr
| 3
| 0
|
2023-06-03 15:11:33.765000
|
https://github.com/cityu-aim-group/nlte
| 25
|
Towards robust adaptive object detection under noisy annotations
|
https://scholar.google.com/scholar?cluster=11536411322683282826&hl=en&as_sdt=0,5
| 3
| 2,022
|
InstaFormer: Instance-Aware Image-to-Image Translation With Transformer
| 12
|
cvpr
| 5
| 5
|
2023-06-03 15:11:33.959000
|
https://github.com/KU-CVLAB/InstaFormer
| 36
|
InstaFormer: Instance-aware image-to-image translation with transformer
|
https://scholar.google.com/scholar?cluster=549260384572579726&hl=en&as_sdt=0,33
| 4
| 2,022
|
Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation
| 20
|
cvpr
| 0
| 7
|
2023-06-03 15:11:34.152000
|
https://github.com/mengqidyangge/hierkd
| 29
|
Open-vocabulary one-stage detection with hierarchical visual-language knowledge distillation
|
https://scholar.google.com/scholar?cluster=12711419494084177503&hl=en&as_sdt=0,7
| 3
| 2,022
|
Global Tracking Transformers
| 36
|
cvpr
| 54
| 30
|
2023-06-03 15:11:34.346000
|
https://github.com/xingyizhou/GTR
| 332
|
Global tracking transformers
|
https://scholar.google.com/scholar?cluster=7616713930375867128&hl=en&as_sdt=0,33
| 11
| 2,022
|
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
| 18
|
cvpr
| 2
| 1
|
2023-06-03 15:11:34.540000
|
https://github.com/hanqingwangai/ccc-vln
| 25
|
Counterfactual cycle-consistent learning for instruction following and generation in vision-language navigation
|
https://scholar.google.com/scholar?cluster=15743594750672630990&hl=en&as_sdt=0,5
| 3
| 2,022
|
Online Convolutional Re-Parameterization
| 11
|
cvpr
| 14
| 7
|
2023-06-03 15:11:34.733000
|
https://github.com/jugghm/orepa_cvpr2022
| 134
|
Online convolutional re-parameterization
|
https://scholar.google.com/scholar?cluster=7390880606712026339&hl=en&as_sdt=0,33
| 3
| 2,022
|
GMFlow: Learning Optical Flow via Global Matching
| 78
|
cvpr
| 27
| 1
|
2023-06-03 15:11:34.927000
|
https://github.com/haofeixu/gmflow
| 369
|
Gmflow: Learning optical flow via global matching
|
https://scholar.google.com/scholar?cluster=15062223482476318452&hl=en&as_sdt=0,5
| 17
| 2,022
|
Evaluation-Oriented Knowledge Distillation for Deep Face Recognition
| 10
|
cvpr
| 207
| 59
|
2023-06-03 15:11:35.121000
|
https://github.com/Tencent/TFace
| 1,044
|
Evaluation-oriented knowledge distillation for deep face recognition
|
https://scholar.google.com/scholar?cluster=8381131670097997378&hl=en&as_sdt=0,33
| 34
| 2,022
|
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
| 24
|
cvpr
| 7
| 6
|
2023-06-03 15:11:35.314000
|
https://github.com/alvinliu0/HA2G
| 86
|
Learning hierarchical cross-modal association for co-speech gesture generation
|
https://scholar.google.com/scholar?cluster=13701242356515161539&hl=en&as_sdt=0,5
| 5
| 2,022
|
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
| 19
|
cvpr
| 3
| 3
|
2023-06-03 15:11:35.508000
|
https://github.com/jmiemirza/dua
| 36
|
The norm must go on: dynamic unsupervised domain adaptation by normalization
|
https://scholar.google.com/scholar?cluster=5716711288485693280&hl=en&as_sdt=0,14
| 1
| 2,022
|
Improving Subgraph Recognition With Variational Graph Information Bottleneck
| 14
|
cvpr
| 1
| 1
|
2023-06-03 15:11:35.702000
|
https://github.com/samyu0304/vgib
| 9
|
Improving subgraph recognition with variational graph information bottleneck
|
https://scholar.google.com/scholar?cluster=11871225659355307615&hl=en&as_sdt=0,26
| 1
| 2,022
|
Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model
| 74
|
cvpr
| 19
| 10
|
2023-06-03 15:11:35.895000
|
https://github.com/dyabel/detpro
| 130
|
Learning to prompt for open-vocabulary object detection with vision-language model
|
https://scholar.google.com/scholar?cluster=601454080714466837&hl=en&as_sdt=0,23
| 4
| 2,022
|
TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting
| 11
|
cvpr
| 19
| 2
|
2023-06-03 15:11:36.089000
|
https://github.com/sviprepetitioncounting/transrac
| 85
|
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
|
https://scholar.google.com/scholar?cluster=15728575545685962694&hl=en&as_sdt=0,5
| 2
| 2,022
|
Decoupled Multi-Task Learning With Cyclical Self-Regulation for Face Parsing
| 3
|
cvpr
| 4,364
| 899
|
2023-06-03 15:11:36.282000
|
https://github.com/deepinsight/insightface
| 15,516
|
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
|
https://scholar.google.com/scholar?cluster=13609332630211171705&hl=en&as_sdt=0,5
| 476
| 2,022
|
Recurrent Glimpse-Based Decoder for Detection With Transformer
| 10
|
cvpr
| 3
| 2
|
2023-06-03 15:11:36.476000
|
https://github.com/zhechen/deformable-detr-rego
| 39
|
Recurrent glimpse-based decoder for detection with transformer
|
https://scholar.google.com/scholar?cluster=5408647100029634036&hl=en&as_sdt=0,44
| 6
| 2,022
|
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement
| 14
|
cvpr
| 16
| 7
|
2023-06-03 15:11:36.670000
|
https://github.com/imcharlesy/adaint
| 133
|
AdaInt: learning adaptive intervals for 3D lookup tables on real-time image enhancement
|
https://scholar.google.com/scholar?cluster=17080526266081796756&hl=en&as_sdt=0,5
| 4
| 2,022
|
SimMIM: A Simple Framework for Masked Image Modeling
| 405
|
cvpr
| 72
| 27
|
2023-06-03 15:11:36.864000
|
https://github.com/microsoft/simmim
| 735
|
Simmim: A simple framework for masked image modeling
|
https://scholar.google.com/scholar?cluster=17018195497378444438&hl=en&as_sdt=0,33
| 22
| 2,022
|
RegionCLIP: Region-Based Language-Image Pretraining
| 116
|
cvpr
| 35
| 7
|
2023-06-03 15:11:37.058000
|
https://github.com/microsoft/regionclip
| 437
|
Regionclip: Region-based language-image pretraining
|
https://scholar.google.com/scholar?cluster=10020660180667111529&hl=en&as_sdt=0,5
| 11
| 2,022
|
Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
| 7
|
cvpr
| 3
| 1
|
2023-06-03 15:11:37.251000
|
https://github.com/dnjs3594/Eigencontours
| 21
|
Eigencontours: Novel contour descriptors based on low-rank approximation
|
https://scholar.google.com/scholar?cluster=8251832155492813353&hl=en&as_sdt=0,5
| 1
| 2,022
|
ContrastMask: Contrastive Learning To Segment Every Thing
| 10
|
cvpr
| 2
| 0
|
2023-06-03 15:11:37.453000
|
https://github.com/huiserwang/ContrastMask
| 25
|
Contrastmask: Contrastive learning to segment every thing
|
https://scholar.google.com/scholar?cluster=7085743912913543637&hl=en&as_sdt=0,5
| 2
| 2,022
|
Video Frame Interpolation Transformer
| 47
|
cvpr
| 9
| 2
|
2023-06-03 15:11:37.647000
|
https://github.com/zhshi0816/video-frame-interpolation-transformer
| 80
|
Video frame interpolation transformer
|
https://scholar.google.com/scholar?cluster=12304212309446586855&hl=en&as_sdt=0,5
| 4
| 2,022
|
Efficient Deep Embedded Subspace Clustering
| 15
|
cvpr
| 3
| 3
|
2023-06-03 15:11:37.841000
|
https://github.com/jinyucai95/edesc-pytorch
| 16
|
Efficient deep embedded subspace clustering
|
https://scholar.google.com/scholar?cluster=10194611374694627243&hl=en&as_sdt=0,14
| 1
| 2,022
|
Omni-DETR: Omni-Supervised Object Detection With Transformers
| 22
|
cvpr
| 6
| 9
|
2023-06-03 15:11:38.034000
|
https://github.com/amazon-research/omni-detr
| 51
|
Omni-DETR: Omni-supervised object detection with transformers
|
https://scholar.google.com/scholar?cluster=11715587431329321132&hl=en&as_sdt=0,33
| 8
| 2,022
|
An Empirical Study of End-to-End Temporal Action Detection
| 23
|
cvpr
| 8
| 7
|
2023-06-03 15:11:38.228000
|
https://github.com/xlliu7/E2E-TAD
| 73
|
An empirical study of end-to-end temporal action detection
|
https://scholar.google.com/scholar?cluster=5494069457110925541&hl=en&as_sdt=0,47
| 9
| 2,022
|
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
| 12
|
cvpr
| 4
| 2
|
2023-06-03 15:11:38.442000
|
https://github.com/jazzcharles/cream
| 7
|
Cream: Weakly supervised object localization via class re-activation mapping
|
https://scholar.google.com/scholar?cluster=3281762841192972651&hl=en&as_sdt=0,5
| 3
| 2,022
|
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification
| 27
|
cvpr
| 4
| 0
|
2023-06-03 15:11:38.636000
|
https://github.com/xlearning-scu/2022-cvpr-dart
| 24
|
Learning with twin noisy labels for visible-infrared person re-identification
|
https://scholar.google.com/scholar?cluster=13680969413637491164&hl=en&as_sdt=0,33
| 1
| 2,022
|
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
| 4
|
cvpr
| 7
| 0
|
2023-06-03 15:11:38.830000
|
https://github.com/simofoti/3dvae-swapdisentangled
| 42
|
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
|
https://scholar.google.com/scholar?cluster=12890348998824103228&hl=en&as_sdt=0,5
| 2
| 2,022
|
RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs
| 17
|
cvpr
| 22
| 8
|
2023-06-03 15:11:39.024000
|
https://github.com/wzhouxiff/restoreformer
| 166
|
Restoreformer: High-quality blind face restoration from undegraded key-value pairs
|
https://scholar.google.com/scholar?cluster=473848415754205723&hl=en&as_sdt=0,33
| 9
| 2,022
|
Text Spotting Transformers
| 20
|
cvpr
| 18
| 6
|
2023-06-03 15:11:39.218000
|
https://github.com/mlpc-ucsd/testr
| 148
|
Text spotting transformers
|
https://scholar.google.com/scholar?cluster=16098958964518654862&hl=en&as_sdt=0,38
| 9
| 2,022
|
Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction
| 68
|
cvpr
| 70
| 0
|
2023-06-03 15:11:39.411000
|
https://github.com/caiyuanhao1998/MST
| 383
|
Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction
|
https://scholar.google.com/scholar?cluster=18064431115673337162&hl=en&as_sdt=0,33
| 6
| 2,022
|
Subspace Adversarial Training
| 15
|
cvpr
| 2
| 3
|
2023-06-03 15:11:39.604000
|
https://github.com/nblt/sub-at
| 19
|
Subspace adversarial training
|
https://scholar.google.com/scholar?cluster=9851312696966203784&hl=en&as_sdt=0,1
| 2
| 2,022
|
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
| 11
|
cvpr
| 4
| 1
|
2023-06-03 15:11:39.798000
|
https://github.com/bensaunders27/meinedgs-translation-protocols
| 1
|
Signing at scale: Learning to co-articulate signs for large-scale photo-realistic sign language production
|
https://scholar.google.com/scholar?cluster=1092614695854902852&hl=en&as_sdt=0,48
| 2
| 2,022
|
HINT: Hierarchical Neuron Concept Explainer
| 5
|
cvpr
| 0
| 0
|
2023-06-03 15:11:39.992000
|
https://github.com/antonotnawang/hint
| 17
|
HINT: Hierarchical Neuron Concept Explainer
|
https://scholar.google.com/scholar?cluster=2904754647179872906&hl=en&as_sdt=0,33
| 2
| 2,022
|
Background Activation Suppression for Weakly Supervised Object Localization
| 14
|
cvpr
| 5
| 1
|
2023-06-03 15:11:40.185000
|
https://github.com/wpy1999/bas
| 37
|
Background activation suppression for weakly supervised object localization
|
https://scholar.google.com/scholar?cluster=2550068495177253363&hl=en&as_sdt=0,5
| 3
| 2,022
|
Fine-Grained Predicates Learning for Scene Graph Generation
| 13
|
cvpr
| 2
| 5
|
2023-06-03 15:11:40.379000
|
https://github.com/xinyulyu/fgpl
| 15
|
Fine-grained predicates learning for scene graph generation
|
https://scholar.google.com/scholar?cluster=17296242378351545458&hl=en&as_sdt=0,10
| 1
| 2,022
|
Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline
| 4
|
cvpr
| 2
| 0
|
2023-06-03 15:11:40.573000
|
https://github.com/calayzhou/iod-video
| 20
|
Explore spatio-temporal aggregation for insubstantial object detection: benchmark dataset and baseline
|
https://scholar.google.com/scholar?cluster=3759906862959702128&hl=en&as_sdt=0,21
| 2
| 2,022
|
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection
| 71
|
cvpr
| 8
| 0
|
2023-06-03 15:11:40.767000
|
https://github.com/dlut-dimt/tardal
| 69
|
Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection
|
https://scholar.google.com/scholar?cluster=7585968095673204997&hl=en&as_sdt=0,22
| 1
| 2,022
|
Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos
| 3
|
cvpr
| 4
| 0
|
2023-06-03 15:11:40.960000
|
https://github.com/rozumden/motionfromblur
| 14
|
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos
|
https://scholar.google.com/scholar?cluster=8288633015175756727&hl=en&as_sdt=0,33
| 1
| 2,022
|
EMOCA: Emotion Driven Monocular Face Capture and Animation
| 24
|
cvpr
| 52
| 34
|
2023-06-03 15:11:41.155000
|
https://github.com/radekd91/emoca
| 448
|
EMOCA: Emotion driven monocular face capture and animation
|
https://scholar.google.com/scholar?cluster=14870788722517102341&hl=en&as_sdt=0,44
| 16
| 2,022
|
Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction
| 16
|
cvpr
| 5
| 0
|
2023-06-03 15:11:41.348000
|
https://github.com/jacobieee/st-mr
| 26
|
Graph-based spatial transformer with memory replay for multi-future pedestrian trajectory prediction
|
https://scholar.google.com/scholar?cluster=2776895015094473235&hl=en&as_sdt=0,5
| 2
| 2,022
|
Backdoor Attacks on Self-Supervised Learning
| 36
|
cvpr
| 5
| 1
|
2023-06-03 15:11:41.542000
|
https://github.com/UMBCvision/SSL-Backdoor
| 46
|
Backdoor attacks on self-supervised learning
|
https://scholar.google.com/scholar?cluster=15861275843610371613&hl=en&as_sdt=0,36
| 2
| 2,022
|
TableFormer: Table Structure Understanding With Transformers
| 18
|
cvpr
| 10
| 2
|
2023-06-03 15:11:41.736000
|
https://github.com/ibm/synthtabnet
| 72
|
Tableformer: Table structure understanding with transformers
|
https://scholar.google.com/scholar?cluster=4379564279718802932&hl=en&as_sdt=0,14
| 8
| 2,022
|
Deep Rectangling for Image Stitching: A Learning Baseline
| 8
|
cvpr
| 32
| 16
|
2023-06-03 15:11:41.929000
|
https://github.com/nie-lang/deeprectangling
| 158
|
Deep Rectangling for Image Stitching: A Learning Baseline
|
https://scholar.google.com/scholar?cluster=1158357885550377928&hl=en&as_sdt=0,33
| 4
| 2,022
|
PCL: Proxy-Based Contrastive Learning for Domain Generalization
| 23
|
cvpr
| 6
| 7
|
2023-06-03 15:11:42.123000
|
https://github.com/yaoxufeng/PCL-Proxy-based-Contrastive-Learning-for-Domain-Generalization
| 47
|
PCL: Proxy-based Contrastive Learning for Domain Generalization
|
https://scholar.google.com/scholar?cluster=4912215381230769577&hl=en&as_sdt=0,34
| 1
| 2,022
|
HumanNeRF: Free-Viewpoint Rendering of Moving People From Monocular Video
| 112
|
cvpr
| 74
| 31
|
2023-06-03 15:11:42.317000
|
https://github.com/chungyiweng/humannerf
| 629
|
Humannerf: Free-viewpoint rendering of moving people from monocular video
|
https://scholar.google.com/scholar?cluster=4802417386337124922&hl=en&as_sdt=0,33
| 17
| 2,022
|
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
| 20
|
cvpr
| 13
| 5
|
2023-06-03 15:11:42.511000
|
https://github.com/yuyanli0831/omnifusion
| 62
|
Omnifusion: 360 monocular depth estimation via geometry-aware fusion
|
https://scholar.google.com/scholar?cluster=10062127993927788502&hl=en&as_sdt=0,33
| 4
| 2,022
|
Unsupervised Learning of Accurate Siamese Tracking
| 23
|
cvpr
| 0
| 3
|
2023-06-03 15:11:42.705000
|
https://github.com/florinshum/ulast
| 16
|
Unsupervised learning of accurate Siamese tracking
|
https://scholar.google.com/scholar?cluster=4089155253019708361&hl=en&as_sdt=0,5
| 1
| 2,022
|
Grounded Language-Image Pre-Training
| 200
|
cvpr
| 121
| 46
|
2023-06-03 15:11:42.899000
|
https://github.com/microsoft/GLIP
| 1,290
|
Grounded language-image pre-training
|
https://scholar.google.com/scholar?cluster=6004268348151288098&hl=en&as_sdt=0,5
| 44
| 2,022
|
Semi-Weakly-Supervised Learning of Complex Actions From Instructional Task Videos
| 4
|
cvpr
| 0
| 0
|
2023-06-03 15:11:43.092000
|
https://github.com/yuhan-shen/swsl
| 2
|
Semi-weakly-supervised learning of complex actions from instructional task videos
|
https://scholar.google.com/scholar?cluster=5990181969650959339&hl=en&as_sdt=0,5
| 1
| 2,022
|
Unified Transformer Tracker for Object Tracking
| 24
|
cvpr
| 1
| 5
|
2023-06-03 15:11:43.286000
|
https://github.com/flowerfan/trackron
| 45
|
Unified transformer tracker for object tracking
|
https://scholar.google.com/scholar?cluster=2294005191343201895&hl=en&as_sdt=0,33
| 9
| 2,022
|
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo
| 7
|
cvpr
| 3
| 1
|
2023-06-03 15:11:43.480000
|
https://github.com/nvlabs/np-cvp-mvsnet
| 22
|
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo
|
https://scholar.google.com/scholar?cluster=17721662070981337764&hl=en&as_sdt=0,33
| 5
| 2,022
|
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
| 6
|
cvpr
| 1
| 1
|
2023-06-03 15:11:43.674000
|
https://github.com/82magnolia/ev_tta
| 8
|
Ev-tta: Test-time adaptation for event-based object recognition
|
https://scholar.google.com/scholar?cluster=14941098914432467048&hl=en&as_sdt=0,31
| 1
| 2,022
|
Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions
| 32
|
cvpr
| 12
| 0
|
2023-06-03 15:11:43.867000
|
https://github.com/microsoft/xpretrain
| 284
|
Advancing high-resolution video-language representation with large-scale video transcriptions
|
https://scholar.google.com/scholar?cluster=3591972109861256721&hl=en&as_sdt=0,4
| 12
| 2,022
|
Equalized Focal Loss for Dense Long-Tailed Object Detection
| 39
|
cvpr
| 62
| 24
|
2023-06-03 15:11:44.061000
|
https://github.com/modeltc/eod
| 397
|
Equalized focal loss for dense long-tailed object detection
|
https://scholar.google.com/scholar?cluster=3753161556540928995&hl=en&as_sdt=0,10
| 19
| 2,022
|
Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
| 3
|
cvpr
| 1
| 1
|
2023-06-03 15:11:44.254000
|
https://github.com/manycore-research/faceformer
| 39
|
Neural face identification in a 2d wireframe projection of a manifold object
|
https://scholar.google.com/scholar?cluster=5718507503258968760&hl=en&as_sdt=0,25
| 2
| 2,022
|
DeepDPM: Deep Clustering With an Unknown Number of Clusters
| 20
|
cvpr
| 68
| 10
|
2023-06-03 15:11:44.447000
|
https://github.com/bgu-cs-vil/deepdpm
| 693
|
DeepDPM: Deep Clustering With an Unknown Number of Clusters
|
https://scholar.google.com/scholar?cluster=7335598410750852147&hl=en&as_sdt=0,44
| 9
| 2,022
|
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
| 22
|
cvpr
| 9
| 4
|
2023-06-03 15:11:44.642000
|
https://github.com/liuzechun/nonuniform-to-uniform-quantization
| 78
|
Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation
|
https://scholar.google.com/scholar?cluster=777827710441638860&hl=en&as_sdt=0,10
| 2
| 2,022
|
Cross-Architecture Self-Supervised Video Representation Learning
| 8
|
cvpr
| 2
| 1
|
2023-06-03 15:11:44.835000
|
https://github.com/guoshengcv/cacl
| 21
|
Cross-architecture self-supervised video representation learning
|
https://scholar.google.com/scholar?cluster=5088671574638326251&hl=en&as_sdt=0,5
| 3
| 2,022
|
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
| 20
|
cvpr
| 16
| 0
|
2023-06-03 15:11:45.029000
|
https://github.com/vision4robotics/udat
| 98
|
Unsupervised domain adaptation for nighttime aerial tracking
|
https://scholar.google.com/scholar?cluster=18364001837684502950&hl=en&as_sdt=0,5
| 3
| 2,022
|
High-Resolution Image Harmonization via Collaborative Dual Transformations
| 21
|
cvpr
| 5
| 1
|
2023-06-03 15:11:45.223000
|
https://github.com/bcmi/CDTNet-High-Resolution-Image-Harmonization
| 78
|
High-resolution image harmonization via collaborative dual transformations
|
https://scholar.google.com/scholar?cluster=12649598176028163151&hl=en&as_sdt=0,5
| 12
| 2,022
|
SimVP: Simpler Yet Better Video Prediction
| 24
|
cvpr
| 25
| 7
|
2023-06-03 15:11:45.417000
|
https://github.com/gaozhangyang/simvp-simpler-yet-better-video-prediction
| 108
|
Simvp: Simpler yet better video prediction
|
https://scholar.google.com/scholar?cluster=319517229086919990&hl=en&as_sdt=0,39
| 2
| 2,022
|
Balanced Multimodal Learning via On-the-Fly Gradient Modulation
| 25
|
cvpr
| 12
| 24
|
2023-06-03 15:11:45.610000
|
https://github.com/gewu-lab/ogm-ge_cvpr2022
| 144
|
Balanced multimodal learning via on-the-fly gradient modulation
|
https://scholar.google.com/scholar?cluster=5090317183372596343&hl=en&as_sdt=0,44
| 2
| 2,022
|
Transferable Sparse Adversarial Attack
| 5
|
cvpr
| 0
| 0
|
2023-06-03 15:11:45.804000
|
https://github.com/NiCE-X/TSAA
| 1
|
Transferable sparse adversarial attack
|
https://scholar.google.com/scholar?cluster=13275656247152317725&hl=en&as_sdt=0,33
| 0
| 2,022
|
Object Localization Under Single Coarse Point Supervision
| 7
|
cvpr
| 73
| 26
|
2023-06-03 15:11:45.999000
|
https://github.com/ucas-vg/pointtinybenchmark
| 573
|
Object localization under single coarse point supervision
|
https://scholar.google.com/scholar?cluster=11197749454980040204&hl=en&as_sdt=0,5
| 21
| 2,022
|
Causality Inspired Representation Learning for Domain Generalization
| 30
|
cvpr
| 11
| 8
|
2023-06-03 15:11:46.195000
|
https://github.com/bit-da/cirl
| 94
|
Causality inspired representation learning for domain generalization
|
https://scholar.google.com/scholar?cluster=14938904289268146133&hl=en&as_sdt=0,44
| 0
| 2,022
|
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
| 137
|
cvpr
| 48
| 13
|
2023-06-03 15:11:46.390000
|
https://github.com/royorel/StyleSDF
| 490
|
Stylesdf: High-resolution 3d-consistent image and geometry generation
|
https://scholar.google.com/scholar?cluster=6766726929083092838&hl=en&as_sdt=0,47
| 28
| 2,022
|
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
| 5
|
cvpr
| 2
| 2
|
2023-06-03 15:11:46.587000
|
https://github.com/ritmininglab/bn-svp
| 7
|
Bayesian nonparametric submodular video partition for robust anomaly detection
|
https://scholar.google.com/scholar?cluster=3607857779398730024&hl=en&as_sdt=0,21
| 1
| 2,022
|
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
| 14
|
cvpr
| 5
| 0
|
2023-06-03 15:11:46.782000
|
https://github.com/yanangu/dvc
| 17
|
Not just selection, but exploration: Online class-incremental continual learning via dual view consistency
|
https://scholar.google.com/scholar?cluster=8555368968556268636&hl=en&as_sdt=0,5
| 1
| 2,022
|
GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras
| 37
|
cvpr
| 25
| 17
|
2023-06-03 15:11:46.976000
|
https://github.com/nvlabs/glamr
| 289
|
GLAMR: Global occlusion-aware human mesh recovery with dynamic cameras
|
https://scholar.google.com/scholar?cluster=9390433960838526357&hl=en&as_sdt=0,33
| 27
| 2,022
|
Topology Preserving Local Road Network Estimation From Single Onboard Camera Image
| 14
|
cvpr
| 5
| 2
|
2023-06-03 15:11:47.171000
|
https://github.com/ybarancan/topologicallanegraph
| 47
|
Topology preserving local road network estimation from single onboard camera image
|
https://scholar.google.com/scholar?cluster=11662846550390952880&hl=en&as_sdt=0,5
| 7
| 2,022
|
FocalClick: Towards Practical Interactive Image Segmentation
| 29
|
cvpr
| 32
| 4
|
2023-06-03 15:11:47.365000
|
https://github.com/XavierCHEN34/ClickSEG
| 131
|
FocalClick: towards practical interactive image segmentation
|
https://scholar.google.com/scholar?cluster=3062520042557091780&hl=en&as_sdt=0,5
| 2
| 2,022
|
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
| 9
|
cvpr
| 16
| 0
|
2023-06-03 15:11:47.558000
|
https://github.com/dongkwonjin/eigenlanes
| 115
|
Eigenlanes: Data-driven lane descriptors for structurally diverse lanes
|
https://scholar.google.com/scholar?cluster=8563383129778081242&hl=en&as_sdt=0,5
| 5
| 2,022
|
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation
| 8
|
cvpr
| 2
| 4
|
2023-06-03 15:11:47.752000
|
https://github.com/cedricgsh/isdnet
| 34
|
Isdnet: Integrating shallow and deep networks for efficient ultra-high resolution segmentation
|
https://scholar.google.com/scholar?cluster=17316168847977566364&hl=en&as_sdt=0,5
| 3
| 2,022
|
B-Cos Networks: Alignment Is All We Need for Interpretability
| 13
|
cvpr
| 8
| 3
|
2023-06-03 15:11:47.946000
|
https://github.com/moboehle/b-cos
| 84
|
B-Cos networks: alignment is all we need for interpretability
|
https://scholar.google.com/scholar?cluster=7013378357046496018&hl=en&as_sdt=0,23
| 3
| 2,022
|
Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
| 5
|
cvpr
| 3
| 0
|
2023-06-03 15:11:48.141000
|
https://github.com/akmtn/OmniDreamer
| 22
|
Diverse plausible 360-degree image outpainting for efficient 3dcg background creation
|
https://scholar.google.com/scholar?cluster=14309141439600165743&hl=en&as_sdt=0,31
| 1
| 2,022
|
Burst Image Restoration and Enhancement
| 32
|
cvpr
| 16
| 4
|
2023-06-03 15:11:48.334000
|
https://github.com/akshaydudhane16/bipnet
| 96
|
Burst image restoration and enhancement
|
https://scholar.google.com/scholar?cluster=2235176340185033730&hl=en&as_sdt=0,33
| 6
| 2,022
|
Multi-Level Feature Learning for Contrastive Multi-View Clustering
| 35
|
cvpr
| 15
| 7
|
2023-06-03 15:11:48.528000
|
https://github.com/SubmissionsIn/MFLVC
| 41
|
Multi-level feature learning for contrastive multi-view clustering
|
https://scholar.google.com/scholar?cluster=11544394085965907218&hl=en&as_sdt=0,10
| 2
| 2,022
|
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
| 0
|
cvpr
| 2
| 1
|
2023-06-03 15:11:48.721000
|
https://github.com/dgrzech/learnsim
| 15
|
A variational Bayesian method for similarity learning in non-rigid image registration
|
https://scholar.google.com/scholar?cluster=12266065616950652821&hl=en&as_sdt=0,47
| 1
| 2,022
|
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors
| 15
|
cvpr
| 2
| 0
|
2023-06-03 15:11:48.915000
|
https://github.com/chrismats/feature-reuse
| 12
|
What makes transfer learning work for medical images: feature reuse & other factors
|
https://scholar.google.com/scholar?cluster=10091390179375265575&hl=en&as_sdt=0,5
| 3
| 2,022
|
CAFE: Learning To Condense Dataset by Aligning Features
| 42
|
cvpr
| 4
| 1
|
2023-06-03 15:11:49.109000
|
https://github.com/kaiwang960112/cafe
| 50
|
Cafe: Learning to condense dataset by aligning features
|
https://scholar.google.com/scholar?cluster=189180043954036993&hl=en&as_sdt=0,5
| 8
| 2,022
|
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
| 11
|
cvpr
| 2
| 0
|
2023-06-03 15:11:49.303000
|
https://github.com/vita-group/backdoor-lth
| 22
|
Quarantine: Sparsity can uncover the trojan attack trigger for free
|
https://scholar.google.com/scholar?cluster=8805004245573032259&hl=en&as_sdt=0,10
| 8
| 2,022
|
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis
| 8
|
cvpr
| 5
| 0
|
2023-06-03 15:11:49.496000
|
https://github.com/facebookresearch/facestar
| 92
|
Audio-visual speech codecs: Rethinking audio-visual speech enhancement by re-synthesis
|
https://scholar.google.com/scholar?cluster=11556289608283151891&hl=en&as_sdt=0,41
| 8
| 2,022
|
Generalized Few-Shot Semantic Segmentation
| 27
|
cvpr
| 11
| 4
|
2023-06-03 15:11:49.690000
|
https://github.com/dvlab-research/gfs-seg
| 46
|
Generalized few-shot semantic segmentation
|
https://scholar.google.com/scholar?cluster=1972190624221467279&hl=en&as_sdt=0,33
| 1
| 2,022
|
Towards Real-World Navigation With Deep Differentiable Planners
| 1
|
cvpr
| 3
| 0
|
2023-06-03 15:11:49.884000
|
https://github.com/shuishida/calvin
| 12
|
Towards real-world navigation with deep differentiable planners
|
https://scholar.google.com/scholar?cluster=4300137872951403656&hl=en&as_sdt=0,10
| 2
| 2,022
|
Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis
| 9
|
cvpr
| 2
| 0
|
2023-06-03 15:11:50.078000
|
https://github.com/jiajingchen113322/Recycle_Maxpooling_Module
| 11
|
Why discard if you can recycle?: A recycling max pooling module for 3d point cloud analysis
|
https://scholar.google.com/scholar?cluster=2177156517217224296&hl=en&as_sdt=0,5
| 3
| 2,022
|
Localized Adversarial Domain Generalization
| 5
|
cvpr
| 2
| 1
|
2023-06-03 15:11:50.272000
|
https://github.com/zwvews/ladg
| 7
|
Localized Adversarial Domain Generalization
|
https://scholar.google.com/scholar?cluster=5644223777517706008&hl=en&as_sdt=0,43
| 1
| 2,022
|
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
| 23
|
cvpr
| 11
| 1
|
2023-06-03 15:11:50.467000
|
https://github.com/lxtgh/video-k-net
| 132
|
Video k-net: A simple, strong, and unified baseline for video segmentation
|
https://scholar.google.com/scholar?cluster=17741523309785170156&hl=en&as_sdt=0,5
| 6
| 2,022
|
Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection
| 5
|
cvpr
| 4
| 3
|
2023-06-03 15:11:50.661000
|
https://github.com/olobbcode/noiself
| 12
|
Learning from pixel-level noisy label: A new perspective for light field saliency detection
|
https://scholar.google.com/scholar?cluster=3274959735332722801&hl=en&as_sdt=0,5
| 1
| 2,022
|
X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning
| 19
|
cvpr
| 3
| 6
|
2023-06-03 15:11:50.854000
|
https://github.com/curryyuan/x-trans2cap
| 31
|
X-trans2cap: Cross-modal knowledge transfer using transformer for 3d dense captioning
|
https://scholar.google.com/scholar?cluster=16937276053226702586&hl=en&as_sdt=0,1
| 3
| 2,022
|
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