Datasets:
title
stringlengths 8
155
| citations_google_scholar
int64 0
28.9k
| conference
stringclasses 5
values | forks
int64 0
46.3k
| issues
int64 0
12.2k
| lastModified
stringlengths 19
26
| repo_url
stringlengths 26
130
| stars
int64 0
75.9k
| title_google_scholar
stringlengths 8
155
| url_google_scholar
stringlengths 75
206
| watchers
int64 0
2.77k
| year
int64 2.02k
2.02k
|
---|---|---|---|---|---|---|---|---|---|---|---|
Squeeze-and-Excitation Networks | 21,250 | cvpr | 825 | 15 | 2023-06-03 02:02:44.143000 | https://github.com/hujie-frank/SENet | 3,151 | Squeeze-and-excitation networks | https://scholar.google.com/scholar?cluster=11424287065250598243&hl=en&as_sdt=0,33 | 82 | 2,018 |
Context Encoding for Semantic Segmentation | 1,213 | cvpr | 453 | 147 | 2023-06-03 02:02:44.344000 | https://github.com/zhanghang1989/PyTorch-Encoding | 1,998 | Context encoding for semantic segmentation | https://scholar.google.com/scholar?cluster=11819343174629820664&hl=en&as_sdt=0,5 | 43 | 2,018 |
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer | 120 | cvpr | 50 | 5 | 2023-06-03 02:02:44.544000 | https://github.com/MVIG-SJTU/WSHP | 298 | Weakly and semi supervised human body part parsing via pose-guided knowledge transfer | https://scholar.google.com/scholar?cluster=5411440861626628225&hl=en&as_sdt=0,33 | 19 | 2,018 |
Relation Networks for Object Detection | 1,170 | cvpr | 191 | 15 | 2023-06-03 02:02:44.743000 | https://github.com/msracver/Relation-Networks-for-Object-Detection | 1,082 | Relation networks for object detection | https://scholar.google.com/scholar?cluster=6312471696354344603&hl=en&as_sdt=0,33 | 34 | 2,018 |
Link and Code: Fast Indexing With Graphs and Compact Regression Codes | 39 | cvpr | 2,977 | 305 | 2023-06-03 02:02:44.942000 | https://github.com/facebookresearch/faiss | 22,187 | Link and code: Fast indexing with graphs and compact regression codes | https://scholar.google.com/scholar?cluster=14984005711302229427&hl=en&as_sdt=0,33 | 449 | 2,018 |
Neural Baby Talk | 465 | cvpr | 122 | 31 | 2023-06-03 02:02:45.142000 | https://github.com/jiasenlu/NeuralBabyTalk | 525 | Neural baby talk | https://scholar.google.com/scholar?cluster=9034308427911290096&hl=en&as_sdt=0,44 | 18 | 2,018 |
Textbook Question Answering Under Instructor Guidance With Memory Networks | 17 | cvpr | 0 | 1 | 2023-06-03 02:02:45.342000 | https://github.com/freerailway/igmn | 8 | Textbook question answering under instructor guidance with memory networks | https://scholar.google.com/scholar?cluster=10345622211722999040&hl=en&as_sdt=0,33 | 2 | 2,018 |
Single View Stereo Matching | 196 | cvpr | 60 | 14 | 2023-06-03 02:02:45.541000 | https://github.com/lawy623/SVS | 283 | Single view stereo matching | https://scholar.google.com/scholar?cluster=3110406571941339913&hl=en&as_sdt=0,32 | 13 | 2,018 |
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments | 946 | cvpr | 119 | 40 | 2023-06-03 02:02:45.741000 | https://github.com/peteanderson80/Matterport3DSimulator | 377 | Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments | https://scholar.google.com/scholar?cluster=11715302607690282214&hl=en&as_sdt=0,33 | 19 | 2,018 |
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading | 44 | cvpr | 21 | 1 | 2023-06-03 02:02:45.942000 | https://github.com/BjoernHaefner/DepthSRfromShading | 50 | Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading | https://scholar.google.com/scholar?cluster=18357062275262437656&hl=en&as_sdt=0,41 | 11 | 2,018 |
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization | 176 | cvpr | 28 | 4 | 2023-06-03 02:02:46.141000 | https://github.com/david-husx/crossview_localisation | 73 | Cvm-net: Cross-view matching network for image-based ground-to-aerial geo-localization | https://scholar.google.com/scholar?cluster=7906333180197319428&hl=en&as_sdt=0,33 | 6 | 2,018 |
Wasserstein Introspective Neural Networks | 52 | cvpr | 20 | 0 | 2023-06-03 02:02:46.341000 | https://github.com/kjunelee/WINN | 60 | Wasserstein introspective neural networks | https://scholar.google.com/scholar?cluster=7419455746270333750&hl=en&as_sdt=0,5 | 5 | 2,018 |
Taskonomy: Disentangling Task Transfer Learning | 1,048 | cvpr | 145 | 25 | 2023-06-03 02:02:46.541000 | https://github.com/StanfordVL/taskonomy | 806 | Taskonomy: Disentangling task transfer learning | https://scholar.google.com/scholar?cluster=14005457704431675372&hl=en&as_sdt=0,33 | 32 | 2,018 |
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation | 1,597 | cvpr | 147 | 27 | 2023-06-03 02:02:46.740000 | https://github.com/mil-tokyo/MCD_DA | 503 | Maximum classifier discrepancy for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=16796743387010769346&hl=en&as_sdt=0,11 | 20 | 2,018 |
Unsupervised Feature Learning via Non-Parametric Instance Discrimination | 2,687 | cvpr | 131 | 19 | 2023-06-03 02:02:46.940000 | https://github.com/zhirongw/lemniscate.pytorch | 709 | Unsupervised feature learning via non-parametric instance discrimination | https://scholar.google.com/scholar?cluster=18199728308463029716&hl=en&as_sdt=0,33 | 13 | 2,018 |
Alive Caricature From 2D to 3D | 38 | cvpr | 11 | 1 | 2023-06-03 02:02:47.140000 | https://github.com/QianyiWu/Caricature-Data | 59 | Alive caricature from 2d to 3d | https://scholar.google.com/scholar?cluster=10599805237435207750&hl=en&as_sdt=0,36 | 4 | 2,018 |
Nonlinear 3D Face Morphable Model | 337 | cvpr | 124 | 43 | 2023-06-03 02:02:47.341000 | https://github.com/tranluan/Nonlinear_Face_3DMM | 626 | Nonlinear 3d face morphable model | https://scholar.google.com/scholar?cluster=16917443177432685099&hl=en&as_sdt=0,44 | 36 | 2,018 |
Actor and Observer: Joint Modeling of First and Third-Person Videos | 120 | cvpr | 9 | 10 | 2023-06-03 02:02:47.540000 | https://github.com/gsig/actor-observer | 70 | Actor and observer: Joint modeling of first and third-person videos | https://scholar.google.com/scholar?cluster=10236946423035602005&hl=en&as_sdt=0,5 | 6 | 2,018 |
Density Adaptive Point Set Registration | 45 | cvpr | 14 | 5 | 2023-06-03 02:02:47.746000 | https://github.com/felja633/DARE | 63 | Density adaptive point set registration | https://scholar.google.com/scholar?cluster=2753522151223136403&hl=en&as_sdt=0,5 | 8 | 2,018 |
Fast and Accurate Online Video Object Segmentation via Tracking Parts | 267 | cvpr | 28 | 2 | 2023-06-03 02:02:47.946000 | https://github.com/JingchunCheng/FAVOS | 180 | Fast and accurate online video object segmentation via tracking parts | https://scholar.google.com/scholar?cluster=8220914409241455873&hl=en&as_sdt=0,47 | 14 | 2,018 |
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction | 594 | cvpr | 67 | 5 | 2023-06-03 02:02:48.145000 | https://github.com/Huangying-Zhan/Depth-VO-Feat | 335 | Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction | https://scholar.google.com/scholar?cluster=9329635045900538034&hl=en&as_sdt=0,5 | 13 | 2,018 |
Tangent Convolutions for Dense Prediction in 3D | 487 | cvpr | 25 | 3 | 2023-06-03 02:02:48.346000 | https://github.com/tatarchm/tangent_conv | 118 | Tangent convolutions for dense prediction in 3d | https://scholar.google.com/scholar?cluster=493491956826244384&hl=en&as_sdt=0,25 | 16 | 2,018 |
Style Aggregated Network for Facial Landmark Detection | 329 | cvpr | 180 | 14 | 2023-06-03 02:02:48.546000 | https://github.com/D-X-Y/SAN | 899 | Style aggregated network for facial landmark detection | https://scholar.google.com/scholar?cluster=1805110380044896880&hl=en&as_sdt=0,33 | 34 | 2,018 |
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials | 78 | cvpr | 17 | 6 | 2023-06-03 02:02:48.746000 | https://github.com/paschalidoud/raynet | 71 | Raynet: Learning volumetric 3d reconstruction with ray potentials | https://scholar.google.com/scholar?cluster=8899382585377763451&hl=en&as_sdt=0,5 | 12 | 2,018 |
Learning to Adapt Structured Output Space for Semantic Segmentation | 1,270 | cvpr | 202 | 27 | 2023-06-03 02:02:48.946000 | https://github.com/wasidennis/AdaptSegNet | 807 | Learning to adapt structured output space for semantic segmentation | https://scholar.google.com/scholar?cluster=3871902646877787670&hl=en&as_sdt=0,39 | 20 | 2,018 |
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation | 286 | cvpr | 18 | 0 | 2023-06-03 02:02:49.145000 | https://github.com/danxuhk/StructuredAttentionDepthEstimation | 108 | Structured attention guided convolutional neural fields for monocular depth estimation | https://scholar.google.com/scholar?cluster=12491875579978899487&hl=en&as_sdt=0,47 | 8 | 2,018 |
Extreme 3D Face Reconstruction: Seeing Through Occlusions | 176 | cvpr | 178 | 13 | 2023-06-03 02:02:49.345000 | https://github.com/anhttran/extreme_3d_faces | 741 | Extreme 3d face reconstruction: Seeing through occlusions | https://scholar.google.com/scholar?cluster=5737169588965246749&hl=en&as_sdt=0,33 | 51 | 2,018 |
VITON: An Image-Based Virtual Try-On Network | 429 | cvpr | 124 | 21 | 2023-06-03 02:02:49.544000 | https://github.com/xthan/VITON | 438 | Viton: An image-based virtual try-on network | https://scholar.google.com/scholar?cluster=4604722267799491636&hl=en&as_sdt=0,33 | 21 | 2,018 |
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points | 142 | cvpr | 10 | 6 | 2023-06-03 02:02:49.744000 | https://github.com/fabienbaradel/glimpse_clouds | 30 | Glimpse clouds: Human activity recognition from unstructured feature points | https://scholar.google.com/scholar?cluster=7849340999484253764&hl=en&as_sdt=0,10 | 5 | 2,018 |
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization | 107 | cvpr | 19 | 6 | 2023-06-03 02:02:49.944000 | https://github.com/technicolor-research/dsve-loc | 58 | Finding beans in burgers: Deep semantic-visual embedding with localization | https://scholar.google.com/scholar?cluster=9521343984071570663&hl=en&as_sdt=0,31 | 7 | 2,018 |
Multi-Content GAN for Few-Shot Font Style Transfer | 301 | cvpr | 128 | 16 | 2023-06-03 02:02:50.143000 | https://github.com/azadis/MC-GAN | 428 | Multi-content gan for few-shot font style transfer | https://scholar.google.com/scholar?cluster=8640883336869257369&hl=en&as_sdt=0,33 | 22 | 2,018 |
Context-Aware Deep Feature Compression for High-Speed Visual Tracking | 236 | cvpr | 3 | 1 | 2023-06-03 02:02:50.343000 | https://github.com/jongwon20000/TRACA | 12 | Context-aware deep feature compression for high-speed visual tracking | https://scholar.google.com/scholar?cluster=571172096804857192&hl=en&as_sdt=0,39 | 1 | 2,018 |
Correlation Tracking via Joint Discrimination and Reliability Learning | 187 | cvpr | 9 | 3 | 2023-06-03 02:02:50.542000 | https://github.com/cswaynecool/DRT | 24 | Correlation tracking via joint discrimination and reliability learning | https://scholar.google.com/scholar?cluster=1575208581023691189&hl=en&as_sdt=0,43 | 3 | 2,018 |
Future Person Localization in First-Person Videos | 163 | cvpr | 16 | 6 | 2023-06-03 02:02:50.741000 | https://github.com/takumayagi/fpl | 57 | Future person localization in first-person videos | https://scholar.google.com/scholar?cluster=12809311731040909987&hl=en&as_sdt=0,33 | 8 | 2,018 |
Show Me a Story: Towards Coherent Neural Story Illustration | 31 | cvpr | 2 | 0 | 2023-06-03 02:02:50.940000 | https://github.com/Hareesh-Ravi/Show-Me-A-Story | 8 | Show me a story: Towards coherent neural story illustration | https://scholar.google.com/scholar?cluster=7308999289037993317&hl=en&as_sdt=0,33 | 3 | 2,018 |
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data | 59 | cvpr | 11 | 0 | 2023-06-03 02:02:51.140000 | https://github.com/ehsanik/dogTorch | 66 | Who let the dogs out? modeling dog behavior from visual data | https://scholar.google.com/scholar?cluster=5907444303842448183&hl=en&as_sdt=0,14 | 5 | 2,018 |
Mining on Manifolds: Metric Learning Without Labels | 121 | cvpr | 8 | 0 | 2023-06-03 02:02:51.339000 | https://github.com/gtolias/mom | 34 | Mining on manifolds: Metric learning without labels | https://scholar.google.com/scholar?cluster=13423863468293341196&hl=en&as_sdt=0,43 | 3 | 2,018 |
Deep Texture Manifold for Ground Terrain Recognition | 117 | cvpr | 15 | 5 | 2023-06-03 02:02:51.539000 | https://github.com/jiaxue1993/Deep-Encoding-Pooling-Network-DEP- | 48 | Deep texture manifold for ground terrain recognition | https://scholar.google.com/scholar?cluster=7515181483454142602&hl=en&as_sdt=0,33 | 2 | 2,018 |
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank | 281 | cvpr | 27 | 0 | 2023-06-03 02:02:51.739000 | https://github.com/xialeiliu/CrowdCountingCVPR18 | 101 | Leveraging unlabeled data for crowd counting by learning to rank | https://scholar.google.com/scholar?cluster=15969046811114831794&hl=en&as_sdt=0,22 | 12 | 2,018 |
IQA: Visual Question Answering in Interactive Environments | 367 | cvpr | 29 | 4 | 2023-06-03 02:02:51.938000 | https://github.com/danielgordon10/thor-iqa-cvpr-2018 | 115 | Iqa: Visual question answering in interactive environments | https://scholar.google.com/scholar?cluster=16877717073782366284&hl=en&as_sdt=0,33 | 6 | 2,018 |
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | 5,295 | cvpr | 466 | 44 | 2023-06-03 02:02:52.138000 | https://github.com/richzhang/PerceptualSimilarity | 2,870 | The unreasonable effectiveness of deep features as a perceptual metric | https://scholar.google.com/scholar?cluster=14149575231067904672&hl=en&as_sdt=0,11 | 50 | 2,018 |
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform | 739 | cvpr | 102 | 17 | 2023-06-03 02:02:52.337000 | https://github.com/xinntao/SFTGAN | 529 | Recovering realistic texture in image super-resolution by deep spatial feature transform | https://scholar.google.com/scholar?cluster=842104437082826960&hl=en&as_sdt=0,10 | 22 | 2,018 |
Learning to Parse Wireframes in Images of Man-Made Environments | 133 | cvpr | 37 | 19 | 2023-06-03 02:02:52.538000 | https://github.com/huangkuns/wireframe | 180 | Learning to parse wireframes in images of man-made environments | https://scholar.google.com/scholar?cluster=11403942593493139051&hl=en&as_sdt=0,38 | 9 | 2,018 |
Grounding Referring Expressions in Images by Variational Context | 167 | cvpr | 4 | 2 | 2023-06-03 02:02:52.737000 | https://github.com/yuleiniu/vc | 28 | Grounding referring expressions in images by variational context | https://scholar.google.com/scholar?cluster=14943545970405420327&hl=en&as_sdt=0,10 | 5 | 2,018 |
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning | 801 | cvpr | 39 | 3 | 2023-06-03 02:02:52.937000 | https://github.com/arunmallya/packnet | 220 | Packnet: Adding multiple tasks to a single network by iterative pruning | https://scholar.google.com/scholar?cluster=3391923480766796153&hl=en&as_sdt=0,33 | 9 | 2,018 |
Single-Shot Refinement Neural Network for Object Detection | 1,430 | cvpr | 397 | 4 | 2023-06-03 02:02:53.136000 | https://github.com/sfzhang15/RefineDet | 1,437 | Single-shot refinement neural network for object detection | https://scholar.google.com/scholar?cluster=2942593974177604568&hl=en&as_sdt=0,3 | 66 | 2,018 |
Neural Sign Language Translation | 407 | cvpr | 42 | 19 | 2023-06-03 02:02:53.336000 | https://github.com/neccam/nslt | 134 | Neural sign language translation | https://scholar.google.com/scholar?cluster=2296982368739717596&hl=en&as_sdt=0,33 | 10 | 2,018 |
Non-Local Neural Networks | 8,204 | cvpr | 335 | 39 | 2023-06-03 02:02:53.535000 | https://github.com/facebookresearch/video-nonlocal-net | 1,932 | Non-local neural networks | https://scholar.google.com/scholar?cluster=10047890866676489078&hl=en&as_sdt=0,10 | 73 | 2,018 |
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers | 38 | cvpr | 16 | 7 | 2023-06-03 02:02:53.734000 | https://github.com/facebookresearch/videoalignment | 127 | LAMV: Learning to align and match videos with kernelized temporal layers | https://scholar.google.com/scholar?cluster=17917158544788310143&hl=en&as_sdt=0,44 | 12 | 2,018 |
Fast and Accurate Single Image Super-Resolution via Information Distillation Network | 660 | cvpr | 27 | 1 | 2023-06-03 02:02:53.933000 | https://github.com/Zheng222/IDN-Caffe | 115 | Fast and accurate single image super-resolution via information distillation network | https://scholar.google.com/scholar?cluster=8046970097927078874&hl=en&as_sdt=0,21 | 5 | 2,018 |
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval | 365 | cvpr | 50 | 11 | 2023-06-03 02:02:54.134000 | https://github.com/lelan-li/SSAH | 160 | Self-supervised adversarial hashing networks for cross-modal retrieval | https://scholar.google.com/scholar?cluster=3463045162726683481&hl=en&as_sdt=0,33 | 2 | 2,018 |
NAG: Network for Adversary Generation | 148 | cvpr | 10 | 1 | 2023-06-03 02:02:54.334000 | https://github.com/val-iisc/nag | 30 | Nag: Network for adversary generation | https://scholar.google.com/scholar?cluster=3931174507658557691&hl=en&as_sdt=0,40 | 5 | 2,018 |
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification | 228 | cvpr | 2 | 2 | 2023-06-03 02:02:54.534000 | https://github.com/longxiang92/Flash-MNIST | 16 | Attention clusters: Purely attention based local feature integration for video classification | https://scholar.google.com/scholar?cluster=2790056115661546897&hl=en&as_sdt=0,39 | 0 | 2,018 |
A Two-Step Disentanglement Method | 65 | cvpr | 7 | 2 | 2023-06-03 02:02:54.733000 | https://github.com/naamahadad/A-Two-Step-Disentanglement-Method | 20 | A two-step disentanglement method | https://scholar.google.com/scholar?cluster=17956824225475130504&hl=en&as_sdt=0,33 | 2 | 2,018 |
Decorrelated Batch Normalization | 172 | cvpr | 9 | 2 | 2023-06-03 02:02:54.932000 | https://github.com/umich-vl/DecorrelatedBN | 77 | Decorrelated batch normalization | https://scholar.google.com/scholar?cluster=1350163161054747576&hl=en&as_sdt=0,44 | 5 | 2,018 |
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks | 138 | cvpr | 6 | 3 | 2023-06-03 02:02:55.131000 | https://github.com/julianfaraone/SYQ | 32 | Syq: Learning symmetric quantization for efficient deep neural networks | https://scholar.google.com/scholar?cluster=715328766505784785&hl=en&as_sdt=0,33 | 4 | 2,018 |
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions | 10 | cvpr | 0 | 0 | 2023-06-03 02:02:55.331000 | https://github.com/dqzhang17/clcnet.torch | 5 | Clcnet: Improving the efficiency of convolutional neural network using channel local convolutions | https://scholar.google.com/scholar?cluster=5898385564503550326&hl=en&as_sdt=0,33 | 1 | 2,018 |
Dynamic Few-Shot Visual Learning Without Forgetting | 1,038 | cvpr | 113 | 15 | 2023-06-03 02:02:55.531000 | https://github.com/gidariss/FewShotWithoutForgetting | 505 | Dynamic few-shot visual learning without forgetting | https://scholar.google.com/scholar?cluster=9404727509298354192&hl=en&as_sdt=0,5 | 17 | 2,018 |
Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns | 189 | cvpr | 95 | 6 | 2023-06-03 02:02:55.730000 | https://github.com/ahangchen/TFusion | 305 | Unsupervised cross-dataset person re-identification by transfer learning of spatial-temporal patterns | https://scholar.google.com/scholar?cluster=17916644735518880120&hl=en&as_sdt=0,5 | 13 | 2,018 |
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels | 420 | cvpr | 3,251 | 796 | 2023-06-03 02:02:55.930000 | https://github.com/rusty1s/pytorch_geometric | 17,762 | Splinecnn: Fast geometric deep learning with continuous b-spline kernels | https://scholar.google.com/scholar?cluster=15661096994661097727&hl=en&as_sdt=0,44 | 255 | 2,018 |
On the Robustness of Semantic Segmentation Models to Adversarial Attacks | 262 | cvpr | 34 | 0 | 2023-06-03 02:02:56.130000 | https://github.com/hmph/adversarial-attacks | 93 | On the robustness of semantic segmentation models to adversarial attacks | https://scholar.google.com/scholar?cluster=16709136699457218640&hl=en&as_sdt=0,47 | 4 | 2,018 |
Conditional Probability Models for Deep Image Compression | 440 | cvpr | 55 | 3 | 2023-06-03 02:02:56.330000 | https://github.com/fab-jul/imgcomp-cvpr | 175 | Conditional probability models for deep image compression | https://scholar.google.com/scholar?cluster=1142257343807759555&hl=en&as_sdt=0,47 | 13 | 2,018 |
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence | 10 | cvpr | 4 | 1 | 2023-06-03 02:02:56.530000 | https://github.com/uvavision/feedbackprop | 13 | Feedback-prop: Convolutional neural network inference under partial evidence | https://scholar.google.com/scholar?cluster=6455871249036885657&hl=en&as_sdt=0,5 | 5 | 2,018 |
Deep Diffeomorphic Transformer Networks | 38 | cvpr | 7 | 2 | 2023-06-03 02:02:56.729000 | https://github.com/SkafteNicki/ddtn | 51 | Deep diffeomorphic transformer networks | https://scholar.google.com/scholar?cluster=10889902313214190390&hl=en&as_sdt=0,47 | 7 | 2,018 |
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks | 661 | cvpr | 263 | 17 | 2023-06-03 02:02:56.929000 | https://github.com/bermanmaxim/LovaszSoftmax | 1,336 | The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks | https://scholar.google.com/scholar?cluster=13704152839598748624&hl=en&as_sdt=0,5 | 32 | 2,018 |
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present | 99 | cvpr | 22 | 4 | 2023-06-03 02:02:57.129000 | https://github.com/chenxinpeng/ARNet | 97 | Regularizing rnns for caption generation by reconstructing the past with the present | https://scholar.google.com/scholar?cluster=7665949997968365444&hl=en&as_sdt=0,5 | 4 | 2,018 |
Frustum PointNets for 3D Object Detection From RGB-D Data | 2,144 | cvpr | 529 | 87 | 2023-06-03 02:02:57.328000 | https://github.com/charlesq34/frustum-pointnets | 1,485 | Frustum pointnets for 3d object detection from rgb-d data | https://scholar.google.com/scholar?cluster=4885970701564432144&hl=en&as_sdt=0,5 | 46 | 2,018 |
Generative Adversarial Perturbations | 298 | cvpr | 22 | 3 | 2023-06-03 02:02:57.528000 | https://github.com/OmidPoursaeed/Generative_Adversarial_Perturbations | 114 | Generative adversarial perturbations | https://scholar.google.com/scholar?cluster=14065454435917122629&hl=en&as_sdt=0,14 | 5 | 2,018 |
Learning Strict Identity Mappings in Deep Residual Networks | 44 | cvpr | 1,850 | 10 | 2023-06-03 02:02:57.727000 | https://github.com/ppwwyyxx/tensorpack | 6,277 | Learning strict identity mappings in deep residual networks | https://scholar.google.com/scholar?cluster=16983153151878497830&hl=en&as_sdt=0,5 | 201 | 2,018 |
Geometric Robustness of Deep Networks: Analysis and Improvement | 132 | cvpr | 0 | 0 | 2023-06-03 02:02:57.927000 | https://github.com/moosavism/ManiFool | 3 | Geometric robustness of deep networks: analysis and improvement | https://scholar.google.com/scholar?cluster=17237058907276803718&hl=en&as_sdt=0,5 | 1 | 2,018 |
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization | 263 | cvpr | 55 | 5 | 2023-06-03 02:02:58.127000 | https://github.com/jiangtaoxie/fast-MPN-COV | 256 | Towards faster training of global covariance pooling networks by iterative matrix square root normalization | https://scholar.google.com/scholar?cluster=17395559231482729917&hl=en&as_sdt=0,44 | 13 | 2,018 |
Recurrent Scene Parsing With Perspective Understanding in the Loop | 110 | cvpr | 7 | 4 | 2023-06-03 02:02:58.326000 | https://github.com/aimerykong/Recurrent-Scene-Parsing-with-Perspective-Understanding-in-the-loop | 37 | Recurrent scene parsing with perspective understanding in the loop | https://scholar.google.com/scholar?cluster=17329955787132612464&hl=en&as_sdt=0,33 | 5 | 2,018 |
Resource Aware Person Re-Identification Across Multiple Resolutions | 267 | cvpr | 14 | 5 | 2023-06-03 02:02:58.526000 | https://github.com/mileyan/DARENet | 63 | Resource aware person re-identification across multiple resolutions | https://scholar.google.com/scholar?cluster=15130580374831521830&hl=en&as_sdt=0,48 | 4 | 2,018 |
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition | 360 | cvpr | 69 | 6 | 2023-06-03 02:02:58.725000 | https://github.com/mikacuy/pointnetvlad | 313 | Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition | https://scholar.google.com/scholar?cluster=11092893691585597959&hl=en&as_sdt=0,6 | 16 | 2,018 |
Pointwise Convolutional Neural Networks | 497 | cvpr | 26 | 8 | 2023-06-03 02:02:58.925000 | https://github.com/hkust-vgd/pointwise | 128 | Pointwise convolutional neural networks | https://scholar.google.com/scholar?cluster=2469352137681828239&hl=en&as_sdt=0,30 | 11 | 2,018 |
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs | 1,069 | cvpr | 211 | 59 | 2023-06-03 02:02:59.124000 | https://github.com/loicland/superpoint_graph | 682 | Large-scale point cloud semantic segmentation with superpoint graphs | https://scholar.google.com/scholar?cluster=8028725506123126280&hl=en&as_sdt=0,33 | 30 | 2,018 |
R-FCN-3000 at 30fps: Decoupling Detection and Classification | 93 | cvpr | 449 | 116 | 2023-06-03 02:02:59.323000 | https://github.com/MahyarNajibi/SNIPER | 2,675 | R-fcn-3000 at 30fps: Decoupling detection and classification | https://scholar.google.com/scholar?cluster=12610408670018801079&hl=en&as_sdt=0,34 | 84 | 2,018 |
Scale-Recurrent Network for Deep Image Deblurring | 990 | cvpr | 185 | 29 | 2023-06-03 02:02:59.523000 | https://github.com/jiangsutx/SRN-Deblur | 673 | Scale-recurrent network for deep image deblurring | https://scholar.google.com/scholar?cluster=9767326897374302436&hl=en&as_sdt=0,5 | 23 | 2,018 |
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks | 1,345 | cvpr | 503 | 137 | 2023-06-03 02:02:59.722000 | https://github.com/KupynOrest/DeblurGAN | 2,316 | Deblurgan: Blind motion deblurring using conditional adversarial networks | https://scholar.google.com/scholar?cluster=5089744073478166070&hl=en&as_sdt=0,5 | 60 | 2,018 |
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping | 106 | cvpr | 39 | 2 | 2023-06-03 02:02:59.922000 | https://github.com/wuhuikai/TF-A2RL | 175 | A2-RL: Aesthetics aware reinforcement learning for image cropping | https://scholar.google.com/scholar?cluster=13340683651444641061&hl=en&as_sdt=0,5 | 12 | 2,018 |
Arbitrary Style Transfer With Deep Feature Reshuffle | 155 | cvpr | 8 | 3 | 2023-06-03 02:03:00.122000 | https://github.com/msracver/Style-Feature-Reshuffle | 42 | Arbitrary style transfer with deep feature reshuffle | https://scholar.google.com/scholar?cluster=11719204420277283592&hl=en&as_sdt=0,5 | 7 | 2,018 |
Learning Less Is More - 6D Camera Localization via 3D Surface Regression | 317 | cvpr | 46 | 0 | 2023-06-03 02:03:00.322000 | https://github.com/vislearn/LessMore | 240 | Learning less is more-6d camera localization via 3d surface regression | https://scholar.google.com/scholar?cluster=11804576689209781173&hl=en&as_sdt=0,33 | 15 | 2,018 |
Mask-Guided Contrastive Attention Model for Person Re-Identification | 581 | cvpr | 22 | 5 | 2023-06-03 02:03:00.522000 | https://github.com/developfeng/MGCAM | 89 | Mask-guided contrastive attention model for person re-identification | https://scholar.google.com/scholar?cluster=10435630685951917541&hl=en&as_sdt=0,11 | 5 | 2,018 |
COCO-Stuff: Thing and Stuff Classes in Context | 984 | cvpr | 146 | 0 | 2023-06-03 02:03:00.721000 | https://github.com/nightrome/cocostuff | 747 | Coco-stuff: Thing and stuff classes in context | https://scholar.google.com/scholar?cluster=6845361642027556320&hl=en&as_sdt=0,5 | 19 | 2,018 |
Visual Feature Attribution Using Wasserstein GANs | 135 | cvpr | 10 | 6 | 2023-06-03 02:03:00.921000 | https://github.com/baumgach/vagan-code | 51 | Visual feature attribution using wasserstein gans | https://scholar.google.com/scholar?cluster=4863009192322574764&hl=en&as_sdt=0,5 | 8 | 2,018 |
Multi-Scale Location-Aware Kernel Representation for Object Detection | 86 | cvpr | 24 | 7 | 2023-06-03 02:03:01.121000 | https://github.com/Hwang64/MLKP | 108 | Multi-scale location-aware kernel representation for object detection | https://scholar.google.com/scholar?cluster=2919288544075184668&hl=en&as_sdt=0,5 | 6 | 2,018 |
Min-Entropy Latent Model for Weakly Supervised Object Detection | 217 | cvpr | 7 | 1 | 2023-06-03 02:03:01.320000 | https://github.com/WinFrand/MELM | 36 | Min-entropy latent model for weakly supervised object detection | https://scholar.google.com/scholar?cluster=12196799827841565864&hl=en&as_sdt=0,33 | 2 | 2,018 |
Unsupervised Training for 3D Morphable Model Regression | 288 | cvpr | 117 | 0 | 2023-06-03 02:03:01.521000 | https://github.com/google/tf_mesh_renderer | 485 | Unsupervised training for 3d morphable model regression | https://scholar.google.com/scholar?cluster=4735286085521456884&hl=en&as_sdt=0,44 | 34 | 2,018 |
MAttNet: Modular Attention Network for Referring Expression Comprehension | 581 | cvpr | 74 | 20 | 2023-06-03 02:03:01.721000 | https://github.com/lichengunc/MAttNet | 284 | Mattnet: Modular attention network for referring expression comprehension | https://scholar.google.com/scholar?cluster=13069017082141468333&hl=en&as_sdt=0,33 | 8 | 2,018 |
Video Based Reconstruction of 3D People Models | 351 | cvpr | 147 | 1 | 2023-06-03 02:03:01.921000 | https://github.com/thmoa/videoavatars | 600 | Video based reconstruction of 3d people models | https://scholar.google.com/scholar?cluster=2077709938273462084&hl=en&as_sdt=0,5 | 35 | 2,018 |
Multi-Cue Correlation Filters for Robust Visual Tracking | 396 | cvpr | 15 | 2 | 2023-06-03 02:03:02.121000 | https://github.com/594422814/MCCT | 43 | Multi-cue correlation filters for robust visual tracking | https://scholar.google.com/scholar?cluster=10195225925386567515&hl=en&as_sdt=0,5 | 6 | 2,018 |
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking | 524 | cvpr | 12 | 5 | 2023-06-03 02:03:02.320000 | https://github.com/foolwood/RASNet | 76 | Learning attentions: residual attentional siamese network for high performance online visual tracking | https://scholar.google.com/scholar?cluster=13442164500664539732&hl=en&as_sdt=0,26 | 26 | 2,018 |
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition | 310 | cvpr | 44 | 0 | 2023-06-03 02:03:02.520000 | https://github.com/kevin-ssy/Optical-Flow-Guided-Feature | 193 | Optical flow guided feature: A fast and robust motion representation for video action recognition | https://scholar.google.com/scholar?cluster=1614018678326125147&hl=en&as_sdt=0,5 | 14 | 2,018 |
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model | 242 | cvpr | 25 | 4 | 2023-06-03 02:03:02.719000 | https://github.com/wenguanwang/DHF1K | 131 | Revisiting video saliency: A large-scale benchmark and a new model | https://scholar.google.com/scholar?cluster=12383728254270518882&hl=en&as_sdt=0,33 | 11 | 2,018 |
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking | 742 | cvpr | 39 | 13 | 2023-06-03 02:03:02.919000 | https://github.com/lifeng9472/STRCF | 141 | Learning spatial-temporal regularized correlation filters for visual tracking | https://scholar.google.com/scholar?cluster=3477617967498244668&hl=en&as_sdt=0,36 | 8 | 2,018 |
Multimodal Visual Concept Learning With Weakly Supervised Techniques | 8 | cvpr | 2 | 0 | 2023-06-03 02:03:03.119000 | https://github.com/gbouritsas/cvpr18_multimodal_weakly_supervised_learning | 2 | Multimodal visual concept learning with weakly supervised techniques | https://scholar.google.com/scholar?cluster=4907691631173710779&hl=en&as_sdt=0,6 | 1 | 2,018 |
Appearance-and-Relation Networks for Video Classification | 349 | cvpr | 58 | 1 | 2023-06-03 02:03:03.318000 | https://github.com/wanglimin/ARTNet | 204 | Appearance-and-relation networks for video classification | https://scholar.google.com/scholar?cluster=18079198362259325313&hl=en&as_sdt=0,34 | 16 | 2,018 |
Excitation Backprop for RNNs | 54 | cvpr | 2 | 0 | 2023-06-03 02:03:03.518000 | https://github.com/sbargal/Caffe-ExcitationBP-RNNs | 15 | Excitation backprop for RNNs | https://scholar.google.com/scholar?cluster=4789269652313774623&hl=en&as_sdt=0,33 | 2 | 2,018 |
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning | 195 | cvpr | 75 | 3 | 2023-06-03 02:03:03.719000 | https://github.com/davidmascharka/tbd-nets | 352 | Transparency by design: Closing the gap between performance and interpretability in visual reasoning | https://scholar.google.com/scholar?cluster=1353061912650405734&hl=en&as_sdt=0,33 | 15 | 2,018 |
A PID Controller Approach for Stochastic Optimization of Deep Networks | 93 | cvpr | 56 | 8 | 2023-06-03 02:03:03.918000 | https://github.com/tensorboy/PIDOptimizer | 173 | A PID controller approach for stochastic optimization of deep networks | https://scholar.google.com/scholar?cluster=17450325485562246088&hl=en&as_sdt=0,5 | 15 | 2,018 |
End of preview. Expand
in Dataset Viewer.
About dataset
We construct this dataset for our study, which investigates the correlation between GitHub communication metrics and citation counts, examining the potential of the metrics as an altmetric.
Currently, it contains about 12,000 samples of publications, which are published by top-tier AI conferences. The citation counts and the corresponding GitHub metrics might need to be updated. We strive our best to update more conferences and keep values up-to-date.
Target conferences
We collect publications from 2018 to 2022 in the following conferences:
- CVPR
- ECCV
- ICML
- ICLR
- NeurIPS
Those are conferences which are to be included.
- ICCV
- ACL
- EMNLP
- NAACL
- AAAI
- INTERSPEECH
- ICASSP
Contributors
Please note that most contributors in this project major in library science, so there might be a need for more knowledge about ML/DL and AI fields.
- @yklikesyou
- Shinhye Cha
- @deepkyu
- Downloads last month
- 48