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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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