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
|
|---|---|---|---|---|---|---|---|---|---|---|---|
A Closer Look at Spatiotemporal Convolutions for Action Recognition
| 2,480 |
cvpr
| 162 | 28 |
2023-06-03 02:03:24.133000
|
https://github.com/facebookresearch/R2Plus1D
| 1,020 |
A closer look at spatiotemporal convolutions for action recognition
|
https://scholar.google.com/scholar?cluster=9524036545693727210&hl=en&as_sdt=0,33
| 111 | 2,018 |
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
| 22 |
cvpr
| 6 | 0 |
2023-06-03 02:03:24.333000
|
https://github.com/chuhang/SurfConv
| 53 |
Surfconv: Bridging 3d and 2d convolution for rgbd images
|
https://scholar.google.com/scholar?cluster=7050444684028736511&hl=en&as_sdt=0,33
| 4 | 2,018 |
Efficient Video Object Segmentation via Network Modulation
| 344 |
cvpr
| 24 | 5 |
2023-06-03 02:03:24.532000
|
https://github.com/linjieyangsc/video_seg
| 152 |
Efficient video object segmentation via network modulation
|
https://scholar.google.com/scholar?cluster=1976126252599424631&hl=en&as_sdt=0,33
| 7 | 2,018 |
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment
| 170 |
cvpr
| 12 | 1 |
2023-06-03 02:03:24.732000
|
https://github.com/ld-ing/TCFPN-ISBA
| 40 |
Weakly-supervised action segmentation with iterative soft boundary assignment
|
https://scholar.google.com/scholar?cluster=8585781658332698642&hl=en&as_sdt=0,44
| 4 | 2,018 |
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
| 1,749 |
cvpr
| 911 | 153 |
2023-06-03 02:03:24.932000
|
https://github.com/kenshohara/3D-ResNets-PyTorch
| 3,611 |
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
|
https://scholar.google.com/scholar?cluster=4579944187863414163&hl=en&as_sdt=0,22
| 59 | 2,018 |
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
| 759 |
cvpr
| 16 | 0 |
2023-06-03 02:03:25.132000
|
https://github.com/nian-liu/PiCANet
| 34 |
Picanet: Learning pixel-wise contextual attention for saliency detection
|
https://scholar.google.com/scholar?cluster=10105062679755015166&hl=en&as_sdt=0,5
| 5 | 2,018 |
What Do Deep Networks Like to See?
| 36 |
cvpr
| 3 | 0 |
2023-06-03 02:03:25.333000
|
https://github.com/spalaciob/s2snets-reconstruction
| 14 |
What do deep networks like to see?
|
https://scholar.google.com/scholar?cluster=5407091813991175051&hl=en&as_sdt=0,33
| 2 | 2,018 |
Multi-Frame Quality Enhancement for Compressed Video
| 194 |
cvpr
| 21 | 2 |
2023-06-03 02:03:25.532000
|
https://github.com/ryangBUAA/MFQE
| 92 |
Multi-frame quality enhancement for compressed video
|
https://scholar.google.com/scholar?cluster=13441933018643229678&hl=en&as_sdt=0,5
| 6 | 2,018 |
Active Fixation Control to Predict Saccade Sequences
| 41 |
cvpr
| 1 | 1 |
2023-06-03 02:03:25.732000
|
https://github.com/TsotsosLab/STAR-FC
| 16 |
Active fixation control to predict saccade sequences
|
https://scholar.google.com/scholar?cluster=5313953482186601173&hl=en&as_sdt=0,14
| 8 | 2,018 |
Latent RANSAC
| 30 |
cvpr
| 10 | 0 |
2023-06-03 02:03:25.932000
|
https://github.com/rlit/LatentRANSAC
| 23 |
Latent ransac
|
https://scholar.google.com/scholar?cluster=16432006796453756987&hl=en&as_sdt=0,47
| 8 | 2,018 |
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
| 476 |
cvpr
| 50 | 11 |
2023-06-03 02:03:26.133000
|
https://github.com/yhjo09/VSR-DUF
| 217 |
Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation
|
https://scholar.google.com/scholar?cluster=14547343431451944570&hl=en&as_sdt=0,1
| 10 | 2,018 |
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
| 860 |
cvpr
| 78 | 19 |
2023-06-03 02:03:26.333000
|
https://github.com/cszn/SRMD
| 403 |
Learning a single convolutional super-resolution network for multiple degradations
|
https://scholar.google.com/scholar?cluster=12748399699451058322&hl=en&as_sdt=0,5
| 13 | 2,018 |
FFNet: Video Fast-Forwarding via Reinforcement Learning
| 53 |
cvpr
| 4 | 1 |
2023-06-03 02:03:26.534000
|
https://github.com/shuyueL/FFNet
| 20 |
Ffnet: Video fast-forwarding via reinforcement learning
|
https://scholar.google.com/scholar?cluster=12600528794155457319&hl=en&as_sdt=0,34
| 1 | 2,018 |
Domain Adaptive Faster R-CNN for Object Detection in the Wild
| 1,042 |
cvpr
| 69 | 13 |
2023-06-03 02:03:26.734000
|
https://github.com/yuhuayc/da-faster-rcnn
| 320 |
Domain adaptive faster r-cnn for object detection in the wild
|
https://scholar.google.com/scholar?cluster=2169991804006218555&hl=en&as_sdt=0,5
| 11 | 2,018 |
Low-Shot Learning With Large-Scale Diffusion
| 116 |
cvpr
| 5 | 0 |
2023-06-03 02:03:26.935000
|
https://github.com/facebookresearch/low-shot-with-diffusion
| 47 |
Low-shot learning with large-scale diffusion
|
https://scholar.google.com/scholar?cluster=18181091707667282501&hl=en&as_sdt=0,5
| 7 | 2,018 |
Referring Relationships
| 94 |
cvpr
| 81 | 10 |
2023-06-03 02:03:27.136000
|
https://github.com/StanfordVL/ReferringRelationships
| 262 |
Referring relationships
|
https://scholar.google.com/scholar?cluster=6942937541363789656&hl=en&as_sdt=0,33
| 19 | 2,018 |
Adversarially Learned One-Class Classifier for Novelty Detection
| 617 |
cvpr
| 77 | 0 |
2023-06-03 02:03:27.336000
|
https://github.com/khalooei/ALOCC-CVPR2018
| 204 |
Adversarially learned one-class classifier for novelty detection
|
https://scholar.google.com/scholar?cluster=13603058643518336613&hl=en&as_sdt=0,48
| 16 | 2,018 |
Improving Object Localization With Fitness NMS and Bounded IoU Loss
| 189 |
cvpr
| 29 | 4 |
2023-06-03 02:03:27.537000
|
https://github.com/lachlants/denet
| 112 |
Improving object localization with fitness nms and bounded iou loss
|
https://scholar.google.com/scholar?cluster=10163124065967812010&hl=en&as_sdt=0,10
| 11 | 2,018 |
End-to-End Deep Kronecker-Product Matching for Person Re-Identification
| 148 |
cvpr
| 29 | 1 |
2023-06-03 02:03:27.739000
|
https://github.com/YantaoShen/kpm_rw_person_reid
| 103 |
End-to-end deep kronecker-product matching for person re-identification
|
https://scholar.google.com/scholar?cluster=4096787433309580582&hl=en&as_sdt=0,5
| 6 | 2,018 |
Deformable GANs for Pose-Based Human Image Generation
| 443 |
cvpr
| 81 | 21 |
2023-06-03 02:03:27.940000
|
https://github.com/AliaksandrSiarohin/pose-gan
| 373 |
Deformable gans for pose-based human image generation
|
https://scholar.google.com/scholar?cluster=3043558815618961635&hl=en&as_sdt=0,5
| 18 | 2,018 |
Deep Reinforcement Learning of Region Proposal Networks for Object Detection
| 73 |
cvpr
| 19 | 0 |
2023-06-03 02:03:28.139000
|
https://github.com/aleksispi/drl-rpn-tf
| 72 |
Deep reinforcement learning of region proposal networks for object detection
|
https://scholar.google.com/scholar?cluster=5027202690407581149&hl=en&as_sdt=0,5
| 6 | 2,018 |
Discriminability Objective for Training Descriptive Captions
| 189 |
cvpr
| 22 | 7 |
2023-06-03 02:03:28.340000
|
https://github.com/ruotianluo/DiscCaptioning
| 110 |
Discriminability objective for training descriptive captions
|
https://scholar.google.com/scholar?cluster=4573642077602787213&hl=en&as_sdt=0,10
| 6 | 2,018 |
Robust Classification With Convolutional Prototype Learning
| 227 |
cvpr
| 32 | 4 |
2023-06-03 02:03:28.540000
|
https://github.com/YangHM/Convolutional-Prototype-Learning
| 117 |
Robust classification with convolutional prototype learning
|
https://scholar.google.com/scholar?cluster=15165539618467322604&hl=en&as_sdt=0,44
| 7 | 2,018 |
Generative Modeling Using the Sliced Wasserstein Distance
| 190 |
cvpr
| 3 | 2 |
2023-06-03 02:03:28.740000
|
https://github.com/ishansd/swg
| 33 |
Generative modeling using the sliced wasserstein distance
|
https://scholar.google.com/scholar?cluster=16060361472863218540&hl=en&as_sdt=0,44
| 4 | 2,018 |
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks
| 96 |
cvpr
| 5 | 0 |
2023-06-03 02:03:28.941000
|
https://github.com/TomVeniat/bsn
| 26 |
Learning time/memory-efficient deep architectures with budgeted super networks
|
https://scholar.google.com/scholar?cluster=5514870632955712695&hl=en&as_sdt=0,33
| 3 | 2,018 |
Cross-View Image Synthesis Using Conditional GANs
| 153 |
cvpr
| 11 | 8 |
2023-06-03 02:03:29.141000
|
https://github.com/kregmi/cross-view-image-synthesis
| 50 |
Cross-view image synthesis using conditional gans
|
https://scholar.google.com/scholar?cluster=15120435124755343968&hl=en&as_sdt=0,34
| 4 | 2,018 |
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing
| 516 |
cvpr
| 36 | 15 |
2023-06-03 02:03:29.340000
|
https://github.com/speedinghzl/DSRG
| 245 |
Weakly-supervised semantic segmentation network with deep seeded region growing
|
https://scholar.google.com/scholar?cluster=11401463134094123362&hl=en&as_sdt=0,39
| 12 | 2,018 |
Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach
| 265 |
cvpr
| 31 | 9 |
2023-06-03 02:03:29.541000
|
https://github.com/lingxiao-he/Partial-Person-ReID
| 160 |
Deep spatial feature reconstruction for partial person re-identification: Alignment-free approach
|
https://scholar.google.com/scholar?cluster=16383414441740542927&hl=en&as_sdt=0,5
| 7 | 2,018 |
Cascaded Pyramid Network for Multi-Person Pose Estimation
| 1,245 |
cvpr
| 201 | 43 |
2023-06-03 02:03:29.743000
|
https://github.com/chenyilun95/tf-cpn
| 788 |
Cascaded pyramid network for multi-person pose estimation
|
https://scholar.google.com/scholar?cluster=5670760275903596839&hl=en&as_sdt=0,33
| 27 | 2,018 |
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
| 324 |
cvpr
| 31 | 6 |
2023-06-03 02:17:46.966000
|
https://github.com/Clarifai/few-shot-ctm
| 152 |
Finding task-relevant features for few-shot learning by category traversal
|
https://scholar.google.com/scholar?cluster=7690321196923369761&hl=en&as_sdt=0,5
| 25 | 2,019 |
Edge-Labeling Graph Neural Network for Few-Shot Learning
| 442 |
cvpr
| 65 | 21 |
2023-06-03 02:17:47.165000
|
https://github.com/khy0809/fewshot-egnn
| 260 |
Edge-labeling graph neural network for few-shot learning
|
https://scholar.google.com/scholar?cluster=8574108187034418609&hl=en&as_sdt=0,36
| 6 | 2,019 |
Learning Video Representations From Correspondence Proposals
| 66 |
cvpr
| 12 | 1 |
2023-06-03 02:17:47.364000
|
https://github.com/xingyul/cpnet
| 93 |
Learning video representations from correspondence proposals
|
https://scholar.google.com/scholar?cluster=7665702673430883055&hl=en&as_sdt=0,34
| 1 | 2,019 |
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
| 57 |
cvpr
| 188 | 17 |
2023-06-03 02:17:47.564000
|
https://github.com/rsummers11/CADLab
| 409 |
Holistic and comprehensive annotation of clinically significant findings on diverse CT images: learning from radiology reports and label ontology
|
https://scholar.google.com/scholar?cluster=6878217630382772571&hl=en&as_sdt=0,6
| 29 | 2,019 |
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
| 251 |
cvpr
| 21 | 12 |
2023-06-03 02:17:47.764000
|
https://github.com/gidariss/wDAE_GNN_FewShot
| 148 |
Generating classification weights with gnn denoising autoencoders for few-shot learning
|
https://scholar.google.com/scholar?cluster=13700723211966973086&hl=en&as_sdt=0,5
| 13 | 2,019 |
Kervolutional Neural Networks
| 74 |
cvpr
| 3 | 4 |
2023-06-03 02:17:47.964000
|
https://github.com/wang-chen/kervolution
| 37 |
Kervolutional neural networks
|
https://scholar.google.com/scholar?cluster=11581113643161028532&hl=en&as_sdt=0,33
| 7 | 2,019 |
Sphere Generative Adversarial Network Based on Geometric Moment Matching
| 38 |
cvpr
| 4 | 1 |
2023-06-03 02:17:48.164000
|
https://github.com/pswkiki/SphereGAN
| 14 |
Sphere generative adversarial network based on geometric moment matching
|
https://scholar.google.com/scholar?cluster=7334963438871902572&hl=en&as_sdt=0,33
| 0 | 2,019 |
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
| 399 |
cvpr
| 93 | 10 |
2023-06-03 02:17:48.363000
|
https://github.com/xamyzhao/brainstorm
| 389 |
Data augmentation using learned transformations for one-shot medical image segmentation
|
https://scholar.google.com/scholar?cluster=15710438805315912771&hl=en&as_sdt=0,6
| 12 | 2,019 |
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
| 409 |
cvpr
| 21 | 1 |
2023-06-03 02:17:48.563000
|
https://github.com/max-andr/relu_networks_overconfident
| 181 |
Why relu networks yield high-confidence predictions far away from the training data and how to mitigate the problem
|
https://scholar.google.com/scholar?cluster=1495531200128833945&hl=en&as_sdt=0,1
| 6 | 2,019 |
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
| 505 |
cvpr
| 22 | 4 |
2023-06-03 02:17:48.763000
|
https://github.com/dongyp13/Translation-Invariant-Attacks
| 124 |
Evading defenses to transferable adversarial examples by translation-invariant attacks
|
https://scholar.google.com/scholar?cluster=165426210106722967&hl=en&as_sdt=0,33
| 3 | 2,019 |
Hardness-Aware Deep Metric Learning
| 176 |
cvpr
| 29 | 6 |
2023-06-03 02:17:48.963000
|
https://github.com/wzzheng/HDML
| 149 |
Hardness-aware deep metric learning
|
https://scholar.google.com/scholar?cluster=8375662549135355127&hl=en&as_sdt=0,33
| 4 | 2,019 |
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
| 969 |
cvpr
| 46,274 | 1,204 |
2023-06-03 02:17:49.162000
|
https://github.com/tensorflow/models
| 75,883 |
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
|
https://scholar.google.com/scholar?cluster=548023770660590636&hl=en&as_sdt=0,14
| 2,774 | 2,019 |
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
| 956 |
cvpr
| 107 | 12 |
2023-06-03 02:17:49.362000
|
https://github.com/he-y/filter-pruning-geometric-median
| 477 |
Filter pruning via geometric median for deep convolutional neural networks acceleration
|
https://scholar.google.com/scholar?cluster=3978996322124428221&hl=en&as_sdt=0,22
| 7 | 2,019 |
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels
| 13 |
cvpr
| 30 | 4 |
2023-06-03 02:17:49.561000
|
https://github.com/pkorus/neural-imaging
| 136 |
Content authentication for neural imaging pipelines: End-to-end optimization of photo provenance in complex distribution channels
|
https://scholar.google.com/scholar?cluster=11213241954859682918&hl=en&as_sdt=0,5
| 11 | 2,019 |
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
| 60 |
cvpr
| 46 | 0 |
2023-06-03 02:17:49.761000
|
https://github.com/ai4ce/DeepMapping
| 190 |
DeepMapping: Unsupervised map estimation from multiple point clouds
|
https://scholar.google.com/scholar?cluster=9988954344653969501&hl=en&as_sdt=0,11
| 21 | 2,019 |
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
| 359 |
cvpr
| 75 | 13 |
2023-06-03 02:17:49.961000
|
https://github.com/Sekunde/3D-SIS
| 360 |
3d-sis: 3d semantic instance segmentation of rgb-d scans
|
https://scholar.google.com/scholar?cluster=18028162509439004162&hl=en&as_sdt=0,45
| 21 | 2,019 |
Image Deformation Meta-Networks for One-Shot Learning
| 206 |
cvpr
| 7 | 3 |
2023-06-03 02:17:50.161000
|
https://github.com/tankche1/IDeMe-Net
| 49 |
Image deformation meta-networks for one-shot learning
|
https://scholar.google.com/scholar?cluster=8511386292870768575&hl=en&as_sdt=0,1
| 3 | 2,019 |
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
| 554 |
cvpr
| 136 | 30 |
2023-06-03 02:17:50.361000
|
https://github.com/feihuzhang/GANet
| 507 |
Ga-net: Guided aggregation net for end-to-end stereo matching
|
https://scholar.google.com/scholar?cluster=731989336931762383&hl=en&as_sdt=0,49
| 26 | 2,019 |
Real-Time Self-Adaptive Deep Stereo
| 233 |
cvpr
| 73 | 19 |
2023-06-03 02:17:50.561000
|
https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo
| 405 |
Real-time self-adaptive deep stereo
|
https://scholar.google.com/scholar?cluster=18225618983635239070&hl=en&as_sdt=0,43
| 26 | 2,019 |
Occupancy Networks: Learning 3D Reconstruction in Function Space
| 1,770 |
cvpr
| 254 | 75 |
2023-06-03 02:17:50.761000
|
https://github.com/LMescheder/Occupancy-Networks
| 1,197 |
Occupancy networks: Learning 3d reconstruction in function space
|
https://scholar.google.com/scholar?cluster=14064961512731216993&hl=en&as_sdt=0,33
| 30 | 2,019 |
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
| 120 |
cvpr
| 47 | 4 |
2023-06-03 02:17:50.961000
|
https://github.com/zhuhao-nju/hmd
| 265 |
Detailed human shape estimation from a single image by hierarchical mesh deformation
|
https://scholar.google.com/scholar?cluster=1439227329003947447&hl=en&as_sdt=0,33
| 15 | 2,019 |
Self-Calibrating Deep Photometric Stereo Networks
| 116 |
cvpr
| 29 | 0 |
2023-06-03 02:17:51.161000
|
https://github.com/guanyingc/SDPS-Net
| 155 |
Self-calibrating deep photometric stereo networks
|
https://scholar.google.com/scholar?cluster=3649234197372500195&hl=en&as_sdt=0,5
| 11 | 2,019 |
Argoverse: 3D Tracking and Forecasting With Rich Maps
| 865 |
cvpr
| 211 | 49 |
2023-06-03 02:17:51.361000
|
https://github.com/argoai/argoverse-api
| 720 |
Argoverse: 3d tracking and forecasting with rich maps
|
https://scholar.google.com/scholar?cluster=17363497644081299357&hl=en&as_sdt=0,44
| 28 | 2,019 |
Timeception for Complex Action Recognition
| 193 |
cvpr
| 35 | 5 |
2023-06-03 02:17:51.562000
|
https://github.com/noureldien/timeception
| 158 |
Timeception for complex action recognition
|
https://scholar.google.com/scholar?cluster=1175087663521850723&hl=en&as_sdt=0,11
| 8 | 2,019 |
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
| 35 |
cvpr
| 17 | 1 |
2023-06-03 02:17:51.762000
|
https://github.com/zhenpeiyang/RelativePose
| 147 |
Extreme relative pose estimation for rgb-d scans via scene completion
|
https://scholar.google.com/scholar?cluster=9221764684170544668&hl=en&as_sdt=0,33
| 7 | 2,019 |
Long-Term Feature Banks for Detailed Video Understanding
| 436 |
cvpr
| 67 | 15 |
2023-06-03 02:17:51.962000
|
https://github.com/facebookresearch/video-long-term-feature-banks
| 364 |
Long-term feature banks for detailed video understanding
|
https://scholar.google.com/scholar?cluster=12076206268409002970&hl=en&as_sdt=0,48
| 11 | 2,019 |
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
| 199 |
cvpr
| 40 | 7 |
2023-06-03 02:17:52.162000
|
https://github.com/xpwu95/IP102
| 143 |
Ip102: A large-scale benchmark dataset for insect pest recognition
|
https://scholar.google.com/scholar?cluster=4487446333535453318&hl=en&as_sdt=0,44
| 9 | 2,019 |
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
| 84 |
cvpr
| 14 | 0 |
2023-06-03 02:17:52.362000
|
https://github.com/ParitoshParmar/MTL-AQA
| 42 |
What and how well you performed? a multitask learning approach to action quality assessment
|
https://scholar.google.com/scholar?cluster=16672989544412031563&hl=en&as_sdt=0,21
| 4 | 2,019 |
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
| 46 |
cvpr
| 9 | 1 |
2023-06-03 02:17:52.563000
|
https://github.com/shuangjiexu/MHP-VOS
| 62 |
Mhp-vos: Multiple hypotheses propagation for video object segmentation
|
https://scholar.google.com/scholar?cluster=14226363239100634228&hl=en&as_sdt=0,33
| 6 | 2,019 |
SelFlow: Self-Supervised Learning of Optical Flow
| 305 |
cvpr
| 63 | 6 |
2023-06-03 02:17:52.762000
|
https://github.com/ppliuboy/SelFlow
| 387 |
Selflow: Self-supervised learning of optical flow
|
https://scholar.google.com/scholar?cluster=14077594709771456352&hl=en&as_sdt=0,21
| 14 | 2,019 |
UPSNet: A Unified Panoptic Segmentation Network
| 367 |
cvpr
| 118 | 76 |
2023-06-03 02:17:52.962000
|
https://github.com/uber-research/UPSNet
| 625 |
Upsnet: A unified panoptic segmentation network
|
https://scholar.google.com/scholar?cluster=18301475211197676940&hl=en&as_sdt=0,5
| 28 | 2,019 |
2.5D Visual Sound
| 163 |
cvpr
| 17 | 2 |
2023-06-03 02:17:53.162000
|
https://github.com/facebookresearch/FAIR-Play
| 84 |
2.5 d visual sound
|
https://scholar.google.com/scholar?cluster=15955658488872503923&hl=en&as_sdt=0,33
| 9 | 2,019 |
Taking a Deeper Look at the Inverse Compositional Algorithm
| 48 |
cvpr
| 29 | 2 |
2023-06-03 02:17:53.362000
|
https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm
| 152 |
Taking a deeper look at the inverse compositional algorithm
|
https://scholar.google.com/scholar?cluster=16780531933965862286&hl=en&as_sdt=0,5
| 15 | 2,019 |
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
| 205 |
cvpr
| 34 | 2 |
2023-06-03 02:17:53.562000
|
https://github.com/pqhieu/JSIS3D
| 168 |
Jsis3d: Joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields
|
https://scholar.google.com/scholar?cluster=16927809821668290492&hl=en&as_sdt=0,5
| 7 | 2,019 |
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
| 820 |
cvpr
| 178 | 19 |
2023-06-03 02:17:53.761000
|
https://github.com/researchmm/SiamDW
| 737 |
Deeper and wider siamese networks for real-time visual tracking
|
https://scholar.google.com/scholar?cluster=17696051770837517858&hl=en&as_sdt=0,33
| 24 | 2,019 |
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
| 248 |
cvpr
| 31 | 8 |
2023-06-03 02:17:53.961000
|
https://github.com/davyneven/SpatialEmbeddings
| 209 |
Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth
|
https://scholar.google.com/scholar?cluster=14151595211459682440&hl=en&as_sdt=0,5
| 15 | 2,019 |
Parsing R-CNN for Instance-Level Human Analysis
| 103 |
cvpr
| 36 | 25 |
2023-06-03 02:17:54.160000
|
https://github.com/soeaver/Parsing-R-CNN
| 283 |
Parsing r-cnn for instance-level human analysis
|
https://scholar.google.com/scholar?cluster=5570486802749692020&hl=en&as_sdt=0,33
| 24 | 2,019 |
Semantic Correlation Promoted Shape-Variant Context for Segmentation
| 164 |
cvpr
| 0 | 0 |
2023-06-03 02:17:54.360000
|
https://github.com/henghuiding/SVC
| 0 |
Semantic correlation promoted shape-variant context for segmentation
|
https://scholar.google.com/scholar?cluster=16130229518023869149&hl=en&as_sdt=0,33
| 0 | 2,019 |
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification
| 311 |
cvpr
| 4 | 1 |
2023-06-03 02:17:54.561000
|
https://github.com/YifanSun-ReID/VPM-reID
| 28 |
Perceive where to focus: Learning visibility-aware part-level features for partial person re-identification
|
https://scholar.google.com/scholar?cluster=4047481609137728387&hl=en&as_sdt=0,33
| 1 | 2,019 |
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
| 727 |
cvpr
| 74 | 20 |
2023-06-03 02:17:54.760000
|
https://github.com/Yochengliu/Relation-Shape-CNN
| 402 |
Relation-shape convolutional neural network for point cloud analysis
|
https://scholar.google.com/scholar?cluster=11483419455001652603&hl=en&as_sdt=0,1
| 21 | 2,019 |
Meta-Transfer Learning for Few-Shot Learning
| 976 |
cvpr
| 140 | 38 |
2023-06-03 02:17:54.960000
|
https://github.com/yaoyao-liu/meta-transfer-learning
| 661 |
Meta-transfer learning for few-shot learning
|
https://scholar.google.com/scholar?cluster=16670100435832438519&hl=en&as_sdt=0,33
| 24 | 2,019 |
ATOM: Accurate Tracking by Overlap Maximization
| 971 |
cvpr
| 577 | 55 |
2023-06-03 02:17:55.160000
|
https://github.com/visionml/pytracking
| 2,782 |
Atom: Accurate tracking by overlap maximization
|
https://scholar.google.com/scholar?cluster=963225988420087018&hl=en&as_sdt=0,5
| 90 | 2,019 |
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters
| 366 |
cvpr
| 23 | 9 |
2023-06-03 02:17:55.361000
|
https://github.com/Daikenan/ASRCF
| 99 |
Visual tracking via adaptive spatially-regularized correlation filters
|
https://scholar.google.com/scholar?cluster=1936083344177917118&hl=en&as_sdt=0,5
| 7 | 2,019 |
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
| 40 |
cvpr
| 19 | 5 |
2023-06-03 02:17:55.560000
|
https://github.com/griffbr/BubbleNets
| 100 |
Bubblenets: Learning to select the guidance frame in video object segmentation by deep sorting frames
|
https://scholar.google.com/scholar?cluster=1778787356825965594&hl=en&as_sdt=0,26
| 7 | 2,019 |
Deep RNN Framework for Visual Sequential Applications
| 41 |
cvpr
| 13 | 0 |
2023-06-03 02:17:55.760000
|
https://github.com/BoPang1996/Deep-RNN-Framework
| 45 |
Deep rnn framework for visual sequential applications
|
https://scholar.google.com/scholar?cluster=13952108559320750928&hl=en&as_sdt=0,1
| 6 | 2,019 |
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
| 207 |
cvpr
| 54 | 19 |
2023-06-03 02:17:55.961000
|
https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing
| 180 |
Deep tree learning for zero-shot face anti-spoofing
|
https://scholar.google.com/scholar?cluster=4809478454905690384&hl=en&as_sdt=0,32
| 13 | 2,019 |
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
| 104 |
cvpr
| 78 | 7 |
2023-06-03 02:17:56.161000
|
https://github.com/chenwydj/ultra_high_resolution_segmentation
| 312 |
Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images
|
https://scholar.google.com/scholar?cluster=9353770986207663680&hl=en&as_sdt=0,25
| 12 | 2,019 |
Graph-Based Global Reasoning Networks
| 416 |
cvpr
| 48 | 8 |
2023-06-03 02:17:56.361000
|
https://github.com/facebookresearch/GloRe
| 193 |
Graph-based global reasoning networks
|
https://scholar.google.com/scholar?cluster=7036510083148234312&hl=en&as_sdt=0,5
| 9 | 2,019 |
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
| 4,654 |
cvpr
| 4,361 | 952 |
2023-06-03 02:17:56.561000
|
https://github.com/deepinsight/insightface
| 15,442 |
Arcface: Additive angular margin loss for deep face recognition
|
https://scholar.google.com/scholar?cluster=14066082468781799933&hl=en&as_sdt=0,21
| 476 | 2,019 |
Efficient Parameter-Free Clustering Using First Neighbor Relations
| 133 |
cvpr
| 53 | 0 |
2023-06-03 02:17:56.761000
|
https://github.com/ssarfraz/FINCH-CLustering
| 277 |
Efficient parameter-free clustering using first neighbor relations
|
https://scholar.google.com/scholar?cluster=5006622334338007650&hl=en&as_sdt=0,5
| 22 | 2,019 |
Reversible GANs for Memory-Efficient Image-To-Image Translation
| 41 |
cvpr
| 10 | 10 |
2023-06-03 02:17:56.962000
|
https://github.com/tychovdo/RevGAN
| 79 |
Reversible gans for memory-efficient image-to-image translation
|
https://scholar.google.com/scholar?cluster=15019867665042081663&hl=en&as_sdt=0,33
| 10 | 2,019 |
Latent Space Autoregression for Novelty Detection
| 386 |
cvpr
| 60 | 9 |
2023-06-03 02:17:57.162000
|
https://github.com/aimagelab/novelty-detection
| 185 |
Latent space autoregression for novelty detection
|
https://scholar.google.com/scholar?cluster=18196632214960310707&hl=en&as_sdt=0,14
| 11 | 2,019 |
Feature Denoising for Improving Adversarial Robustness
| 784 |
cvpr
| 86 | 2 |
2023-06-03 02:17:57.362000
|
https://github.com/facebookresearch/ImageNet-Adversarial-Training
| 664 |
Feature denoising for improving adversarial robustness
|
https://scholar.google.com/scholar?cluster=961363392550158116&hl=en&as_sdt=0,39
| 20 | 2,019 |
Selective Kernel Networks
| 1,592 |
cvpr
| 105 | 6 |
2023-06-03 02:17:57.562000
|
https://github.com/implus/SKNet
| 542 |
Selective kernel networks
|
https://scholar.google.com/scholar?cluster=11785614849903023316&hl=en&as_sdt=0,5
| 9 | 2,019 |
FlowNet3D: Learning Scene Flow in 3D Point Clouds
| 354 |
cvpr
| 84 | 18 |
2023-06-03 02:17:57.762000
|
https://github.com/xingyul/flownet3d
| 339 |
Flownet3d: Learning scene flow in 3d point clouds
|
https://scholar.google.com/scholar?cluster=15188873080391320732&hl=en&as_sdt=0,47
| 13 | 2,019 |
Bag of Tricks for Image Classification with Convolutional Neural Networks
| 1,246 |
cvpr
| 1,198 | 60 |
2023-06-03 02:17:57.961000
|
https://github.com/dmlc/gluon-cv
| 5,561 |
Bag of tricks for image classification with convolutional neural networks
|
https://scholar.google.com/scholar?cluster=8341554460743296519&hl=en&as_sdt=0,33
| 154 | 2,019 |
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
| 228 |
cvpr
| 16 | 2 |
2023-06-03 02:17:58.163000
|
https://github.com/elliothe/CVPR_2019_PNI
| 38 |
Parametric noise injection: Trainable randomness to improve deep neural network robustness against adversarial attack
|
https://scholar.google.com/scholar?cluster=3553606349914507364&hl=en&as_sdt=0,6
| 2 | 2,019 |
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
| 276 |
cvpr
| 16 | 0 |
2023-06-03 02:17:58.362000
|
https://github.com/airalcorn2/strike-with-a-pose
| 75 |
Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects
|
https://scholar.google.com/scholar?cluster=16755141960750698067&hl=en&as_sdt=0,11
| 5 | 2,019 |
SparseFool: A Few Pixels Make a Big Difference
| 152 |
cvpr
| 11 | 0 |
2023-06-03 02:17:58.562000
|
https://github.com/LTS4/SparseFool
| 48 |
Sparsefool: a few pixels make a big difference
|
https://scholar.google.com/scholar?cluster=6158227118856345030&hl=en&as_sdt=0,44
| 4 | 2,019 |
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification
| 572 |
cvpr
| 61 | 8 |
2023-06-03 02:17:58.762000
|
https://github.com/zhunzhong07/ECN
| 297 |
Invariance matters: Exemplar memory for domain adaptive person re-identification
|
https://scholar.google.com/scholar?cluster=1740171451548448125&hl=en&as_sdt=0,5
| 11 | 2,019 |
Dissecting Person Re-Identification From the Viewpoint of Viewpoint
| 180 |
cvpr
| 15 | 1 |
2023-06-03 02:17:58.971000
|
https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint
| 117 |
Dissecting person re-identification from the viewpoint of viewpoint
|
https://scholar.google.com/scholar?cluster=6413659946848887161&hl=en&as_sdt=0,1
| 8 | 2,019 |
Instance-Level Meta Normalization
| 25 |
cvpr
| 3 | 0 |
2023-06-03 02:17:59.173000
|
https://github.com/Gasoonjia/ILM-Norm
| 17 |
Instance-level meta normalization
|
https://scholar.google.com/scholar?cluster=17437121449575767985&hl=en&as_sdt=0,5
| 2 | 2,019 |
Iterative Normalization: Beyond Standardization Towards Efficient Whitening
| 93 |
cvpr
| 4 | 0 |
2023-06-03 02:17:59.373000
|
https://github.com/huangleiBuaa/IterNorm
| 22 |
Iterative normalization: Beyond standardization towards efficient whitening
|
https://scholar.google.com/scholar?cluster=17943009712133460569&hl=en&as_sdt=0,5
| 4 | 2,019 |
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
| 150 |
cvpr
| 25 | 2 |
2023-06-03 02:17:59.574000
|
https://github.com/drsleep/nas-segm-pytorch
| 143 |
Fast neural architecture search of compact semantic segmentation models via auxiliary cells
|
https://scholar.google.com/scholar?cluster=8910584954060361446&hl=en&as_sdt=0,5
| 8 | 2,019 |
Generating 3D Adversarial Point Clouds
| 214 |
cvpr
| 26 | 3 |
2023-06-03 02:17:59.774000
|
https://github.com/xiangchong1/3d-adv-pc
| 92 |
Generating 3d adversarial point clouds
|
https://scholar.google.com/scholar?cluster=10039699469817980264&hl=en&as_sdt=0,5
| 6 | 2,019 |
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search
| 128 |
cvpr
| 25 | 1 |
2023-06-03 02:17:59.974000
|
https://github.com/lixincn2015/Partial-Order-Pruning
| 147 |
Partial order pruning: for best speed/accuracy trade-off in neural architecture search
|
https://scholar.google.com/scholar?cluster=8555049247914418659&hl=en&as_sdt=0,5
| 6 | 2,019 |
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
| 204 |
cvpr
| 38 | 7 |
2023-06-03 02:18:00.175000
|
https://github.com/Yunbo426/MIM
| 137 |
Memory in memory: A predictive neural network for learning higher-order non-stationarity from spatiotemporal dynamics
|
https://scholar.google.com/scholar?cluster=15070346920682817473&hl=en&as_sdt=0,5
| 5 | 2,019 |
Distilling Object Detectors With Fine-Grained Feature Imitation
| 264 |
cvpr
| 70 | 22 |
2023-06-03 02:18:00.375000
|
https://github.com/twangnh/Distilling-Object-Detectors
| 402 |
Distilling object detectors with fine-grained feature imitation
|
https://scholar.google.com/scholar?cluster=5085359464416711778&hl=en&as_sdt=0,11
| 10 | 2,019 |
Adapting Object Detectors via Selective Cross-Domain Alignment
| 294 |
cvpr
| 15 | 4 |
2023-06-03 02:18:00.576000
|
https://github.com/xinge008/SCDA
| 78 |
Adapting object detectors via selective cross-domain alignment
|
https://scholar.google.com/scholar?cluster=7497629776340245603&hl=en&as_sdt=0,20
| 2 | 2,019 |
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
| 162 |
cvpr
| 12 | 2 |
2023-06-03 02:18:00.775000
|
https://github.com/ShawnDing1994/Centripetal-SGD
| 59 |
Centripetal sgd for pruning very deep convolutional networks with complicated structure
|
https://scholar.google.com/scholar?cluster=17050571465031021795&hl=en&as_sdt=0,5
| 5 | 2,019 |
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
| 110 |
cvpr
| 5 | 2 |
2023-06-03 02:18:00.976000
|
https://github.com/shenyunhang/WS-JDS
| 19 |
Cyclic guidance for weakly supervised joint detection and segmentation
|
https://scholar.google.com/scholar?cluster=764160567722431856&hl=en&as_sdt=0,5
| 1 | 2,019 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.