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|---|---|---|---|---|---|---|---|---|---|---|---|
Multimodal Colored Point Cloud to Image Alignment
| 0
|
cvpr
| 0
| 0
|
2023-06-03 15:12:30.045000
|
https://github.com/RotsteinNoam/Multimodal-Colored-Point-Cloud-to-Image-Alignment
| 3
|
Multimodal Colored Point Cloud to Image Alignment
|
https://scholar.google.com/scholar?cluster=1382373453724028501&hl=en&as_sdt=0,5
| 2
| 2,022
|
P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior
| 28
|
cvpr
| 14
| 7
|
2023-06-03 15:12:30.240000
|
https://github.com/syscv/p3depth
| 105
|
P3depth: Monocular depth estimation with a piecewise planarity prior
|
https://scholar.google.com/scholar?cluster=13429119031106756950&hl=en&as_sdt=0,48
| 15
| 2,022
|
MotionAug: Augmentation With Physical Correction for Human Motion Prediction
| 2
|
cvpr
| 2
| 1
|
2023-06-03 15:12:30.433000
|
https://github.com/meaten/motionaug
| 51
|
MotionAug: Augmentation with Physical Correction for Human Motion Prediction
|
https://scholar.google.com/scholar?cluster=14753224110233710322&hl=en&as_sdt=0,5
| 3
| 2,022
|
Crafting Better Contrastive Views for Siamese Representation Learning
| 49
|
cvpr
| 26
| 4
|
2023-06-03 15:12:30.628000
|
https://github.com/xyupeng/contrastivecrop
| 262
|
Crafting better contrastive views for siamese representation learning
|
https://scholar.google.com/scholar?cluster=17284983713036766691&hl=en&as_sdt=0,5
| 8
| 2,022
|
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity
| 6
|
cvpr
| 2
| 2
|
2023-06-03 15:12:30.822000
|
https://github.com/yunguo224/NLCL
| 15
|
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
|
https://scholar.google.com/scholar?cluster=4923405697489110935&hl=en&as_sdt=0,39
| 1
| 2,022
|
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
| 88
|
cvpr
| 85
| 25
|
2023-06-03 15:12:31.016000
|
https://github.com/phizaz/diffae
| 556
|
Diffusion autoencoders: Toward a meaningful and decodable representation
|
https://scholar.google.com/scholar?cluster=1181873611642798324&hl=en&as_sdt=0,33
| 9
| 2,022
|
Continual Learning for Visual Search With Backward Consistent Feature Embedding
| 5
|
cvpr
| 1
| 0
|
2023-06-03 15:12:31.209000
|
https://github.com/ivclab/cvs
| 12
|
Continual learning for visual search with backward consistent feature embedding
|
https://scholar.google.com/scholar?cluster=12075123014734661371&hl=en&as_sdt=0,5
| 4
| 2,022
|
BANMo: Building Animatable 3D Neural Models From Many Casual Videos
| 58
|
cvpr
| 51
| 18
|
2023-06-03 15:12:31.403000
|
https://github.com/facebookresearch/banmo
| 454
|
Banmo: Building animatable 3d neural models from many casual videos
|
https://scholar.google.com/scholar?cluster=18221797548394232954&hl=en&as_sdt=0,36
| 14
| 2,022
|
Simple Multi-Dataset Detection
| 40
|
cvpr
| 51
| 16
|
2023-06-03 15:12:31.597000
|
https://github.com/xingyizhou/UniDet
| 439
|
Simple multi-dataset detection
|
https://scholar.google.com/scholar?cluster=17207953557216789132&hl=en&as_sdt=0,19
| 14
| 2,022
|
Knowledge Distillation With the Reused Teacher Classifier
| 35
|
cvpr
| 11
| 1
|
2023-06-03 15:12:31.790000
|
https://github.com/DefangChen/SimKD
| 56
|
Knowledge distillation with the reused teacher classifier
|
https://scholar.google.com/scholar?cluster=5464853461403136078&hl=en&as_sdt=0,14
| 3
| 2,022
|
Language As Queries for Referring Video Object Segmentation
| 32
|
cvpr
| 25
| 20
|
2023-06-03 15:12:31.984000
|
https://github.com/wjn922/referformer
| 270
|
Language as queries for referring video object segmentation
|
https://scholar.google.com/scholar?cluster=15824157200018556836&hl=en&as_sdt=0,5
| 7
| 2,022
|
Efficient Two-Stage Detection of Human-Object Interactions With a Novel Unary-Pairwise Transformer
| 22
|
cvpr
| 26
| 1
|
2023-06-03 15:12:32.179000
|
https://github.com/fredzzhang/upt
| 118
|
Efficient two-stage detection of human-object interactions with a novel unary-pairwise transformer
|
https://scholar.google.com/scholar?cluster=632464747819696562&hl=en&as_sdt=0,39
| 6
| 2,022
|
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
| 19
|
cvpr
| 3
| 0
|
2023-06-03 15:12:32.373000
|
https://github.com/HanjiangHu/Multi-LiDAR-Placement-for-3D-Detection
| 37
|
Investigating the impact of multi-lidar placement on object detection for autonomous driving
|
https://scholar.google.com/scholar?cluster=16325083479721146482&hl=en&as_sdt=0,36
| 4
| 2,022
|
Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language
| 13
|
cvpr
| 1
| 0
|
2023-06-03 15:12:32.567000
|
https://github.com/explainableml/avca-gzsl
| 26
|
Audio-visual generalised zero-shot learning with cross-modal attention and language
|
https://scholar.google.com/scholar?cluster=4699171220201152909&hl=en&as_sdt=0,39
| 5
| 2,022
|
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views
| 91
|
cvpr
| 39
| 17
|
2023-06-03 15:12:32.761000
|
https://github.com/barbararoessle/dense_depth_priors_nerf
| 297
|
Dense depth priors for neural radiance fields from sparse input views
|
https://scholar.google.com/scholar?cluster=7927762412074311485&hl=en&as_sdt=0,5
| 9
| 2,022
|
Unified Contrastive Learning in Image-Text-Label Space
| 66
|
cvpr
| 23
| 4
|
2023-06-03 15:12:32.955000
|
https://github.com/microsoft/unicl
| 288
|
Unified contrastive learning in image-text-label space
|
https://scholar.google.com/scholar?cluster=6817248240551752310&hl=en&as_sdt=0,21
| 20
| 2,022
|
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
| 11
|
cvpr
| 4
| 9
|
2023-06-03 15:12:33.149000
|
https://github.com/xnowbzhao/sapcu
| 27
|
Self-supervised arbitrary-scale point clouds upsampling via implicit neural representation
|
https://scholar.google.com/scholar?cluster=1053863024980929514&hl=en&as_sdt=0,47
| 0
| 2,022
|
AdaMixer: A Fast-Converging Query-Based Object Detector
| 33
|
cvpr
| 21
| 3
|
2023-06-03 15:12:33.343000
|
https://github.com/mcg-nju/adamixer
| 212
|
Adamixer: A fast-converging query-based object detector
|
https://scholar.google.com/scholar?cluster=10270081680505767341&hl=en&as_sdt=0,5
| 6
| 2,022
|
Unifying Motion Deblurring and Frame Interpolation With Events
| 20
|
cvpr
| 6
| 9
|
2023-06-03 15:12:33.537000
|
https://github.com/xiangz-0/evdi
| 53
|
Unifying motion deblurring and frame interpolation with events
|
https://scholar.google.com/scholar?cluster=17050992619743623191&hl=en&as_sdt=0,5
| 2
| 2,022
|
Deep Unlearning via Randomized Conditionally Independent Hessians
| 13
|
cvpr
| 3
| 0
|
2023-06-03 15:12:33.731000
|
https://github.com/vsingh-group/LCODEC-deep-unlearning
| 8
|
Deep unlearning via randomized conditionally independent hessians
|
https://scholar.google.com/scholar?cluster=10430632878924637911&hl=en&as_sdt=0,21
| 2
| 2,022
|
Shape-Invariant 3D Adversarial Point Clouds
| 13
|
cvpr
| 5
| 2
|
2023-06-03 15:12:33.925000
|
https://github.com/shikiw/si-adv
| 22
|
Shape-invariant 3D Adversarial Point Clouds
|
https://scholar.google.com/scholar?cluster=12297100581137050112&hl=en&as_sdt=0,33
| 4
| 2,022
|
Fast Point Transformer
| 50
|
cvpr
| 36
| 4
|
2023-06-03 15:12:34.119000
|
https://github.com/POSTECH-CVLab/FastPointTransformer
| 222
|
Fast point transformer
|
https://scholar.google.com/scholar?cluster=13465362774675393232&hl=en&as_sdt=0,18
| 5
| 2,022
|
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
| 10
|
cvpr
| 4
| 5
|
2023-06-03 15:12:34.314000
|
https://github.com/suhohan95/visolo
| 24
|
Visolo: Grid-based space-time aggregation for efficient online video instance segmentation
|
https://scholar.google.com/scholar?cluster=5346503725753054267&hl=en&as_sdt=0,33
| 1
| 2,022
|
Patch-Level Representation Learning for Self-Supervised Vision Transformers
| 16
|
cvpr
| 6
| 5
|
2023-06-03 15:12:34.507000
|
https://github.com/alinlab/selfpatch
| 50
|
Patch-level representation learning for self-supervised vision transformers
|
https://scholar.google.com/scholar?cluster=15793792687497316784&hl=en&as_sdt=0,5
| 2
| 2,022
|
LAS-AT: Adversarial Training With Learnable Attack Strategy
| 31
|
cvpr
| 9
| 3
|
2023-06-03 15:12:34.701000
|
https://github.com/jiaxiaojunqaq/las-at
| 81
|
LAS-AT: adversarial training with learnable attack strategy
|
https://scholar.google.com/scholar?cluster=3476669686081471952&hl=en&as_sdt=0,33
| 2
| 2,022
|
Incremental Learning in Semantic Segmentation From Image Labels
| 23
|
cvpr
| 7
| 2
|
2023-06-03 15:12:34.895000
|
https://github.com/fcdl94/wilson
| 44
|
Incremental learning in semantic segmentation from image labels
|
https://scholar.google.com/scholar?cluster=13395790776688983530&hl=en&as_sdt=0,14
| 3
| 2,022
|
Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection
| 16
|
cvpr
| 7
| 5
|
2023-06-03 15:12:35.089000
|
https://github.com/facebookresearch/sylph-few-shot-detection
| 42
|
Sylph: A hypernetwork framework for incremental few-shot object detection
|
https://scholar.google.com/scholar?cluster=13105389242995861997&hl=en&as_sdt=0,5
| 7
| 2,022
|
Playable Environments: Video Manipulation in Space and Time
| 3
|
cvpr
| 8
| 2
|
2023-06-03 15:12:35.284000
|
https://github.com/willi-menapace/PlayableEnvironments
| 68
|
Playable environments: Video manipulation in space and time
|
https://scholar.google.com/scholar?cluster=1770031922644467021&hl=en&as_sdt=0,10
| 4
| 2,022
|
Stereo Magnification With Multi-Layer Images
| 4
|
cvpr
| 7
| 3
|
2023-06-03 15:12:35.484000
|
https://github.com/SamsungLabs/MLI
| 112
|
Stereo magnification with multi-layer images
|
https://scholar.google.com/scholar?cluster=737377969220391544&hl=en&as_sdt=0,33
| 9
| 2,022
|
Unsupervised Pre-Training for Temporal Action Localization Tasks
| 15
|
cvpr
| 0
| 3
|
2023-06-03 15:12:35.678000
|
https://github.com/zhang-can/up-tal
| 29
|
Unsupervised pre-training for temporal action localization tasks
|
https://scholar.google.com/scholar?cluster=14964804060777605755&hl=en&as_sdt=0,34
| 8
| 2,022
|
Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation
| 4
|
cvpr
| 0
| 1
|
2023-06-03 15:12:35.872000
|
https://github.com/renfeitemp/mmi
| 1
|
Mining multi-view information: a strong self-supervised framework for depth-based 3D hand pose and mesh estimation
|
https://scholar.google.com/scholar?cluster=3031787085939220183&hl=en&as_sdt=0,33
| 3
| 2,022
|
Stereo Depth From Events Cameras: Concentrate and Focus on the Future
| 4
|
cvpr
| 4
| 3
|
2023-06-03 15:12:36.079000
|
https://github.com/yonseivnl/se-cff
| 24
|
Stereo Depth from Events Cameras: Concentrate and Focus on the Future
|
https://scholar.google.com/scholar?cluster=2178875549537086265&hl=en&as_sdt=0,33
| 3
| 2,022
|
Hierarchical Modular Network for Video Captioning
| 17
|
cvpr
| 6
| 5
|
2023-06-03 15:12:36.299000
|
https://github.com/marcusnerva/hmn
| 43
|
Hierarchical modular network for video captioning
|
https://scholar.google.com/scholar?cluster=17569403582558149847&hl=en&as_sdt=0,5
| 2
| 2,022
|
Alignment-Uniformity Aware Representation Learning for Zero-Shot Video Classification
| 6
|
cvpr
| 2
| 4
|
2023-06-03 15:12:36.493000
|
https://github.com/ShipuLoveMili/CVPR2022-AURL
| 12
|
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
|
https://scholar.google.com/scholar?cluster=9472317875374648532&hl=en&as_sdt=0,5
| 1
| 2,022
|
Maintaining Reasoning Consistency in Compositional Visual Question Answering
| 4
|
cvpr
| 1
| 0
|
2023-06-03 15:12:36.687000
|
https://github.com/jingchenchen/reasoningconsistency-vqa
| 8
|
Maintaining Reasoning Consistency in Compositional Visual Question Answering
|
https://scholar.google.com/scholar?cluster=6788429748643513720&hl=en&as_sdt=0,5
| 1
| 2,022
|
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
| 9
|
cvpr
| 7
| 1
|
2023-06-03 15:12:36.882000
|
https://github.com/cvmi-lab/kdep
| 61
|
Knowledge distillation as efficient pre-training: Faster convergence, higher data-efficiency, and better transferability
|
https://scholar.google.com/scholar?cluster=9159082480783598932&hl=en&as_sdt=0,5
| 2
| 2,022
|
Structure-Aware Motion Transfer With Deformable Anchor Model
| 13
|
cvpr
| 3
| 0
|
2023-06-03 15:12:37.076000
|
https://github.com/jialetao/dam
| 62
|
Structure-aware motion transfer with deformable anchor model
|
https://scholar.google.com/scholar?cluster=3964743732361453407&hl=en&as_sdt=0,47
| 3
| 2,022
|
Integrative Few-Shot Learning for Classification and Segmentation
| 21
|
cvpr
| 13
| 1
|
2023-06-03 15:12:37.271000
|
https://github.com/dahyun-kang/ifsl
| 98
|
Integrative few-shot learning for classification and segmentation
|
https://scholar.google.com/scholar?cluster=6985902245534667569&hl=en&as_sdt=0,5
| 6
| 2,022
|
Automated Progressive Learning for Efficient Training of Vision Transformers
| 9
|
cvpr
| 2
| 1
|
2023-06-03 15:12:37.465000
|
https://github.com/changlin31/autoprog
| 23
|
Automated progressive learning for efficient training of vision transformers
|
https://scholar.google.com/scholar?cluster=1217682386744714657&hl=en&as_sdt=0,34
| 5
| 2,022
|
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation
| 37
|
cvpr
| 30
| 6
|
2023-06-03 15:12:37.659000
|
https://github.com/hexagonprime/pix2nerf
| 235
|
Pix2nerf: Unsupervised conditional p-gan for single image to neural radiance fields translation
|
https://scholar.google.com/scholar?cluster=7833643077156866497&hl=en&as_sdt=0,18
| 29
| 2,022
|
Learning Fair Classifiers With Partially Annotated Group Labels
| 21
|
cvpr
| 1
| 1
|
2023-06-03 15:12:37.853000
|
https://github.com/naver-ai/cgl_fairness
| 14
|
Learning fair classifiers with partially annotated group labels
|
https://scholar.google.com/scholar?cluster=3333887381827250053&hl=en&as_sdt=0,5
| 3
| 2,022
|
GroupViT: Semantic Segmentation Emerges From Text Supervision
| 111
|
cvpr
| 47
| 31
|
2023-06-03 15:12:38.047000
|
https://github.com/NVlabs/GroupViT
| 592
|
Groupvit: Semantic segmentation emerges from text supervision
|
https://scholar.google.com/scholar?cluster=11386191630559851929&hl=en&as_sdt=0,5
| 11
| 2,022
|
Constrained Few-Shot Class-Incremental Learning
| 33
|
cvpr
| 12
| 4
|
2023-06-03 15:12:38.242000
|
https://github.com/ibm/constrained-fscil
| 31
|
Constrained few-shot class-incremental learning
|
https://scholar.google.com/scholar?cluster=10728009599579655554&hl=en&as_sdt=0,10
| 2
| 2,022
|
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
| 20
|
cvpr
| 10
| 0
|
2023-06-03 15:12:38.438000
|
https://github.com/yingqianwang/oacc-net
| 44
|
Occlusion-aware cost constructor for light field depth estimation
|
https://scholar.google.com/scholar?cluster=16782358215197438633&hl=en&as_sdt=0,33
| 3
| 2,022
|
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
| 15
|
cvpr
| 1
| 1
|
2023-06-03 15:12:38.639000
|
https://github.com/gaviotas/amn
| 30
|
Threshold matters in WSSS: manipulating the activation for the robust and accurate segmentation model against thresholds
|
https://scholar.google.com/scholar?cluster=11996776905163955629&hl=en&as_sdt=0,36
| 2
| 2,022
|
DeeCap: Dynamic Early Exiting for Efficient Image Captioning
| 12
|
cvpr
| 4
| 3
|
2023-06-03 15:12:38.833000
|
https://github.com/feizc/deecap
| 13
|
Deecap: dynamic early exiting for efficient image captioning
|
https://scholar.google.com/scholar?cluster=13789650658206614224&hl=en&as_sdt=0,36
| 1
| 2,022
|
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
| 24
|
cvpr
| 5
| 9
|
2023-06-03 15:12:39.027000
|
https://github.com/dongxingning/sha-gcl-for-sgg
| 25
|
Stacked hybrid-attention and group collaborative learning for unbiased scene graph generation
|
https://scholar.google.com/scholar?cluster=1697948611889236463&hl=en&as_sdt=0,34
| 2
| 2,022
|
ROCA: Robust CAD Model Retrieval and Alignment From a Single Image
| 14
|
cvpr
| 18
| 2
|
2023-06-03 15:12:39.221000
|
https://github.com/cangumeli/ROCA
| 142
|
ROCA: robust CAD model retrieval and alignment from a single image
|
https://scholar.google.com/scholar?cluster=5577489245033976027&hl=en&as_sdt=0,32
| 10
| 2,022
|
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning
| 15
|
cvpr
| 10
| 3
|
2023-06-03 15:12:39.415000
|
https://github.com/xmed-lab/rscfed
| 36
|
RSCFed: random sampling consensus federated semi-supervised learning
|
https://scholar.google.com/scholar?cluster=2751746282003399252&hl=en&as_sdt=0,5
| 1
| 2,022
|
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow
| 6
|
cvpr
| 1
| 0
|
2023-06-03 15:12:39.609000
|
https://github.com/siwensun/neural_diffeomorphic_flow--ndf
| 24
|
Topology-preserving shape reconstruction and registration via neural diffeomorphic flow
|
https://scholar.google.com/scholar?cluster=3712174266299153732&hl=en&as_sdt=0,5
| 4
| 2,022
|
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks
| 0
|
cvpr
| 0
| 1
|
2023-06-03 15:12:39.804000
|
https://github.com/asudahkzj/wnet
| 19
|
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks
|
https://scholar.google.com/scholar?cluster=6130397205515703605&hl=en&as_sdt=0,5
| 1
| 2,022
|
TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers
| 35
|
cvpr
| 22
| 15
|
2023-06-03 15:12:39.998000
|
https://github.com/megviirobot/transmvsnet
| 206
|
Transmvsnet: Global context-aware multi-view stereo network with transformers
|
https://scholar.google.com/scholar?cluster=16695593325302942442&hl=en&as_sdt=0,5
| 18
| 2,022
|
ARCS: Accurate Rotation and Correspondence Search
| 7
|
cvpr
| 2
| 0
|
2023-06-03 15:12:40.192000
|
https://github.com/liangzu/arcs
| 11
|
ARCS: Accurate Rotation and Correspondence Search
|
https://scholar.google.com/scholar?cluster=15062673513826669415&hl=en&as_sdt=0,11
| 2
| 2,022
|
PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents
| 23
|
cvpr
| 126
| 41
|
2023-06-03 15:12:40.386000
|
https://github.com/microsoft/table-transformer
| 838
|
PubTables-1M: Towards comprehensive table extraction from unstructured documents
|
https://scholar.google.com/scholar?cluster=12915409103598553551&hl=en&as_sdt=0,10
| 26
| 2,022
|
iFS-RCNN: An Incremental Few-Shot Instance Segmenter
| 11
|
cvpr
| 1
| 3
|
2023-06-03 15:12:40.588000
|
https://github.com/ducminhkhoi/iFS-RCNN
| 8
|
ifs-rcnn: An incremental few-shot instance segmenter
|
https://scholar.google.com/scholar?cluster=1987868693644391825&hl=en&as_sdt=0,14
| 2
| 2,022
|
Learning To Anticipate Future With Dynamic Context Removal
| 3
|
cvpr
| 1
| 1
|
2023-06-03 15:12:40.783000
|
https://github.com/allenxuuu/dcr
| 11
|
Learning to anticipate future with dynamic context removal
|
https://scholar.google.com/scholar?cluster=6895510277602702886&hl=en&as_sdt=0,14
| 2
| 2,022
|
Meta-Attention for ViT-Backed Continual Learning
| 11
|
cvpr
| 6
| 3
|
2023-06-03 15:12:40.977000
|
https://github.com/zju-vipa/meat-til
| 30
|
Meta-attention for ViT-backed Continual Learning
|
https://scholar.google.com/scholar?cluster=6877499540163265050&hl=en&as_sdt=0,5
| 9
| 2,022
|
Perception Prioritized Training of Diffusion Models
| 32
|
cvpr
| 8
| 5
|
2023-06-03 15:12:41.171000
|
https://github.com/jychoi118/p2-weighting
| 108
|
Perception prioritized training of diffusion models
|
https://scholar.google.com/scholar?cluster=7208192797566706742&hl=en&as_sdt=0,11
| 5
| 2,022
|
The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification
| 38
|
cvpr
| 4
| 1
|
2023-06-03 15:12:41.365000
|
https://github.com/naver-ai/cmo
| 37
|
The majority can help the minority: Context-rich minority oversampling for long-tailed classification
|
https://scholar.google.com/scholar?cluster=10301410724598778072&hl=en&as_sdt=0,33
| 5
| 2,022
|
IntentVizor: Towards Generic Query Guided Interactive Video Summarization
| 4
|
cvpr
| 2
| 3
|
2023-06-03 15:12:41.559000
|
https://github.com/jnzs1836/intent-vizor
| 12
|
Intentvizor: Towards generic query guided interactive video summarization
|
https://scholar.google.com/scholar?cluster=2207381737708119534&hl=en&as_sdt=0,5
| 2
| 2,022
|
HairCLIP: Design Your Hair by Text and Reference Image
| 40
|
cvpr
| 57
| 17
|
2023-06-03 15:12:41.753000
|
https://github.com/wty-ustc/hairclip
| 383
|
Hairclip: Design your hair by text and reference image
|
https://scholar.google.com/scholar?cluster=12674767256504102765&hl=en&as_sdt=0,5
| 21
| 2,022
|
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
| 17
|
cvpr
| 2
| 1
|
2023-06-03 15:12:41.948000
|
https://github.com/ru-system-software-and-security/bppattack
| 7
|
Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning
|
https://scholar.google.com/scholar?cluster=4389089579155481243&hl=en&as_sdt=0,33
| 1
| 2,022
|
OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction
| 6
|
cvpr
| 2
| 1
|
2023-06-03 15:12:42.142000
|
https://github.com/lixiny/oakink
| 54
|
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
|
https://scholar.google.com/scholar?cluster=3071838002660193479&hl=en&as_sdt=0,5
| 8
| 2,022
|
Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training
| 2
|
cvpr
| 1
| 1
|
2023-06-03 15:12:42.338000
|
https://github.com/zhfeing/bootstrapping-vits-pytorch
| 18
|
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training
|
https://scholar.google.com/scholar?cluster=13025716192629045249&hl=en&as_sdt=0,14
| 2
| 2,022
|
Ensembling Off-the-Shelf Models for GAN Training
| 34
|
cvpr
| 23
| 5
|
2023-06-03 15:12:42.533000
|
https://github.com/nupurkmr9/vision-aided-gan
| 356
|
Ensembling off-the-shelf models for gan training
|
https://scholar.google.com/scholar?cluster=16368483157712189937&hl=en&as_sdt=0,10
| 13
| 2,022
|
SwinBERT: End-to-End Transformers With Sparse Attention for Video Captioning
| 55
|
cvpr
| 25
| 31
|
2023-06-03 15:12:42.727000
|
https://github.com/microsoft/swinbert
| 196
|
Swinbert: End-to-end transformers with sparse attention for video captioning
|
https://scholar.google.com/scholar?cluster=4460723879849250498&hl=en&as_sdt=0,21
| 6
| 2,022
|
Multiview Transformers for Video Recognition
| 92
|
cvpr
| 313
| 163
|
2023-06-03 15:12:42.921000
|
https://github.com/google-research/scenic
| 2,214
|
Multiview transformers for video recognition
|
https://scholar.google.com/scholar?cluster=17352308175817904899&hl=en&as_sdt=0,5
| 37
| 2,022
|
Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection
| 9
|
cvpr
| 0
| 0
|
2023-06-03 15:12:43.115000
|
https://github.com/joellliu/segmentandcomplete
| 9
|
Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection
|
https://scholar.google.com/scholar?cluster=12183766093634556320&hl=en&as_sdt=0,5
| 3
| 2,022
|
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
| 9
|
cvpr
| 3
| 1
|
2023-06-03 15:12:43.309000
|
https://github.com/batmanlab/mspc
| 60
|
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
|
https://scholar.google.com/scholar?cluster=11637513455568079018&hl=en&as_sdt=0,5
| 3
| 2,022
|
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
| 4
|
cvpr
| 4
| 0
|
2023-06-03 15:12:43.503000
|
https://github.com/YorkUCVIL/Static-Dynamic-Interpretability
| 12
|
A deeper dive into what deep spatiotemporal networks encode: Quantifying static vs. dynamic information
|
https://scholar.google.com/scholar?cluster=7943918121272471561&hl=en&as_sdt=0,5
| 0
| 2,022
|
Bringing Old Films Back to Life
| 11
|
cvpr
| 36
| 19
|
2023-06-03 15:12:43.697000
|
https://github.com/raywzy/bringing-old-films-back-to-life
| 414
|
Bringing old films back to life
|
https://scholar.google.com/scholar?cluster=6118739834400301680&hl=en&as_sdt=0,5
| 50
| 2,022
|
Total Variation Optimization Layers for Computer Vision
| 0
|
cvpr
| 2
| 0
|
2023-06-03 15:12:43.891000
|
https://github.com/raymondyeh07/tv_layers_for_cv
| 38
|
Total Variation Optimization Layers for Computer Vision
|
https://scholar.google.com/scholar?cluster=12050761721992626528&hl=en&as_sdt=0,5
| 3
| 2,022
|
Style Transformer for Image Inversion and Editing
| 16
|
cvpr
| 13
| 6
|
2023-06-03 15:12:44.085000
|
https://github.com/sapphire497/style-transformer
| 163
|
Style transformer for image inversion and editing
|
https://scholar.google.com/scholar?cluster=8290213132016159700&hl=en&as_sdt=0,5
| 10
| 2,022
|
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
| 16
|
cvpr
| 1
| 0
|
2023-06-03 15:12:44.279000
|
https://github.com/egocentricvision/n-epic-kitchens
| 12
|
E2 (go) motion: Motion augmented event stream for egocentric action recognition
|
https://scholar.google.com/scholar?cluster=1462656507073042180&hl=en&as_sdt=0,5
| 2
| 2,022
|
Defensive Patches for Robust Recognition in the Physical World
| 11
|
cvpr
| 2
| 1
|
2023-06-03 15:12:44.473000
|
https://github.com/nlsde-safety-team/defensivepatch
| 9
|
Defensive patches for robust recognition in the physical world
|
https://scholar.google.com/scholar?cluster=9698214259713422763&hl=en&as_sdt=0,10
| 1
| 2,022
|
An Empirical Study of Training End-to-End Vision-and-Language Transformers
| 142
|
cvpr
| 30
| 9
|
2023-06-03 15:12:44.667000
|
https://github.com/zdou0830/meter
| 295
|
An empirical study of training end-to-end vision-and-language transformers
|
https://scholar.google.com/scholar?cluster=9718581961231347788&hl=en&as_sdt=0,47
| 6
| 2,022
|
Sequential Voting With Relational Box Fields for Active Object Detection
| 3
|
cvpr
| 0
| 0
|
2023-06-03 15:12:44.862000
|
https://github.com/fuqichen1998/SequentialVotingDet
| 8
|
Sequential voting with relational box fields for active object detection
|
https://scholar.google.com/scholar?cluster=13889336509562179097&hl=en&as_sdt=0,5
| 2
| 2,022
|
Bridging Global Context Interactions for High-Fidelity Image Completion
| 16
|
cvpr
| 11
| 12
|
2023-06-03 15:12:45.055000
|
https://github.com/lyndonzheng/TFill
| 125
|
Bridging global context interactions for high-fidelity image completion
|
https://scholar.google.com/scholar?cluster=13010832561767605118&hl=en&as_sdt=0,31
| 12
| 2,022
|
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification
| 6
|
cvpr
| 3
| 1
|
2023-06-03 15:12:45.250000
|
https://github.com/tencentailabhealthcare/mmdynamics
| 27
|
Multimodal dynamics: Dynamical fusion for trustworthy multimodal classification
|
https://scholar.google.com/scholar?cluster=2314283102131265897&hl=en&as_sdt=0,5
| 2
| 2,022
|
Learning Transferable Human-Object Interaction Detector With Natural Language Supervision
| 12
|
cvpr
| 4
| 5
|
2023-06-03 15:12:45.444000
|
https://github.com/scwangdyd/promting_hoi
| 16
|
Learning transferable human-object interaction detector with natural language supervision
|
https://scholar.google.com/scholar?cluster=17111948876585943469&hl=en&as_sdt=0,5
| 2
| 2,022
|
Unsupervised Homography Estimation With Coplanarity-Aware GAN
| 9
|
cvpr
| 3
| 8
|
2023-06-03 15:12:45.638000
|
https://github.com/megvii-research/homogan
| 26
|
Unsupervised homography estimation with coplanarity-aware gan
|
https://scholar.google.com/scholar?cluster=3382226077000244726&hl=en&as_sdt=0,33
| 7
| 2,022
|
Fourier Document Restoration for Robust Document Dewarping and Recognition
| 12
|
cvpr
| 0
| 0
|
2023-06-03 15:12:45.832000
|
https://github.com/wanghun/wanghun
| 3
|
Fourier document restoration for robust document dewarping and recognition
|
https://scholar.google.com/scholar?cluster=2048456094872715675&hl=en&as_sdt=0,26
| 3
| 2,022
|
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
| 9
|
cvpr
| 6
| 2
|
2023-06-03 15:12:46.027000
|
https://github.com/leolyj/dca-srsfe
| 32
|
Deformation and correspondence aware unsupervised synthetic-to-real scene flow estimation for point clouds
|
https://scholar.google.com/scholar?cluster=1545562343831911281&hl=en&as_sdt=0,33
| 4
| 2,022
|
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective
| 2
|
cvpr
| 1
| 0
|
2023-06-03 15:12:46.221000
|
https://github.com/ray-rui/dist-pu-positive-unlabeled-learning-from-a-label-distribution-perspective
| 7
|
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
|
https://scholar.google.com/scholar?cluster=16272078311893231994&hl=en&as_sdt=0,33
| 1
| 2,022
|
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection
| 8
|
cvpr
| 1
| 0
|
2023-06-03 15:12:46.415000
|
https://github.com/mlvlab/cpchoi
| 7
|
Consistency learning via decoding path augmentation for transformers in human object interaction detection
|
https://scholar.google.com/scholar?cluster=13117051392972890341&hl=en&as_sdt=0,47
| 7
| 2,022
|
Learn From Others and Be Yourself in Heterogeneous Federated Learning
| 24
|
cvpr
| 2
| 3
|
2023-06-03 15:12:46.609000
|
https://github.com/wenkehuang/fccl
| 21
|
Learn from others and be yourself in heterogeneous federated learning
|
https://scholar.google.com/scholar?cluster=7393762203425732147&hl=en&as_sdt=0,31
| 5
| 2,022
|
Learning With Neighbor Consistency for Noisy Labels
| 14
|
cvpr
| 313
| 163
|
2023-06-03 15:12:46.803000
|
https://github.com/google-research/scenic
| 2,214
|
Learning with neighbor consistency for noisy labels
|
https://scholar.google.com/scholar?cluster=6760478343448133888&hl=en&as_sdt=0,24
| 37
| 2,022
|
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning
| 3
|
cvpr
| 0
| 2
|
2023-06-03 15:12:46.997000
|
https://github.com/wanggrun/semantic-aware-ae
| 4
|
Semantic-aware auto-encoders for self-supervised representation learning
|
https://scholar.google.com/scholar?cluster=4002747980342038386&hl=en&as_sdt=0,33
| 2
| 2,022
|
Rethinking Minimal Sufficient Representation in Contrastive Learning
| 20
|
cvpr
| 4
| 0
|
2023-06-03 15:12:47.193000
|
https://github.com/haoqing-wang/infocl
| 47
|
Rethinking minimal sufficient representation in contrastive learning
|
https://scholar.google.com/scholar?cluster=13924377043758377223&hl=en&as_sdt=0,34
| 1
| 2,022
|
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
| 0
|
cvpr
| 1
| 3
|
2023-06-03 15:12:47.387000
|
https://github.com/yuhuaxu/monostereofusion
| 35
|
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
|
https://scholar.google.com/scholar?cluster=16208499283420000901&hl=en&as_sdt=0,5
| 9
| 2,022
|
Consistent Explanations by Contrastive Learning
| 7
|
cvpr
| 1
| 0
|
2023-06-03 15:12:47.581000
|
https://github.com/UCDvision/CGC
| 16
|
Consistent Explanations by Contrastive Learning
|
https://scholar.google.com/scholar?cluster=17257429371166714029&hl=en&as_sdt=0,47
| 2
| 2,022
|
Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer
| 30
|
cvpr
| 18
| 2
|
2023-06-03 15:12:47.775000
|
https://github.com/zengwang430521/tcformer
| 153
|
Not all tokens are equal: Human-centric visual analysis via token clustering transformer
|
https://scholar.google.com/scholar?cluster=4314076215516968526&hl=en&as_sdt=0,11
| 7
| 2,022
|
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
| 16
|
cvpr
| 8
| 1
|
2023-06-03 15:12:47.969000
|
https://github.com/ABaldrati/CLIP4Cir
| 47
|
Effective conditioned and composed image retrieval combining CLIP-based features
|
https://scholar.google.com/scholar?cluster=1998074726378483082&hl=en&as_sdt=0,5
| 2
| 2,022
|
Practical Stereo Matching via Cascaded Recurrent Network With Adaptive Correlation
| 52
|
cvpr
| 43
| 29
|
2023-06-03 15:12:48.163000
|
https://github.com/megvii-research/crestereo
| 355
|
Practical stereo matching via cascaded recurrent network with adaptive correlation
|
https://scholar.google.com/scholar?cluster=15829098413988895779&hl=en&as_sdt=0,5
| 13
| 2,022
|
Salient-to-Broad Transition for Video Person Re-Identification
| 14
|
cvpr
| 1
| 2
|
2023-06-03 15:12:48.357000
|
https://github.com/baist/sinet
| 14
|
Salient-to-broad transition for video person re-identification
|
https://scholar.google.com/scholar?cluster=8320015800738134478&hl=en&as_sdt=0,39
| 2
| 2,022
|
RePaint: Inpainting Using Denoising Diffusion Probabilistic Models
| 211
|
cvpr
| 109
| 30
|
2023-06-03 15:12:48.551000
|
https://github.com/andreas128/RePaint
| 1,388
|
Repaint: Inpainting using denoising diffusion probabilistic models
|
https://scholar.google.com/scholar?cluster=15137047640877691296&hl=en&as_sdt=0,5
| 41
| 2,022
|
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
| 27
|
cvpr
| 12
| 2
|
2023-06-03 15:12:48.744000
|
https://github.com/christsa/dgrasp
| 39
|
D-grasp: Physically plausible dynamic grasp synthesis for hand-object interactions
|
https://scholar.google.com/scholar?cluster=6734315347717258916&hl=en&as_sdt=0,33
| 2
| 2,022
|
RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality
| 22
|
cvpr
| 42
| 4
|
2023-06-03 15:12:48.938000
|
https://github.com/DingXiaoH/RepMLP
| 273
|
Repmlpnet: Hierarchical vision mlp with re-parameterized locality
|
https://scholar.google.com/scholar?cluster=5100164982725834850&hl=en&as_sdt=0,5
| 11
| 2,022
|
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
| 11
|
cvpr
| 6
| 5
|
2023-06-03 15:12:49.132000
|
https://github.com/705062791/pgbig
| 29
|
Progressively generating better initial guesses towards next stages for high-quality human motion prediction
|
https://scholar.google.com/scholar?cluster=8589033064850986626&hl=en&as_sdt=0,23
| 1
| 2,022
|
Show, Deconfound and Tell: Image Captioning With Causal Inference
| 14
|
cvpr
| 1
| 5
|
2023-06-03 15:12:49.326000
|
https://github.com/cumtgg/ciic
| 7
|
Show, deconfound and tell: Image captioning with causal inference
|
https://scholar.google.com/scholar?cluster=11785674868146524668&hl=en&as_sdt=0,23
| 1
| 2,022
|
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