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|---|---|---|---|---|---|---|---|---|---|---|---|
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation
| 594 |
cvpr
| 61 | 17 |
2023-06-03 02:03:04.119000
|
https://github.com/jiwoon-ahn/psa
| 346 |
Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=13437232166306950122&hl=en&as_sdt=0,10
| 10 | 2,018 |
Deflecting Adversarial Attacks With Pixel Deflection
| 305 |
cvpr
| 21 | 3 |
2023-06-03 02:03:04.318000
|
https://github.com/iamaaditya/pixel-deflection
| 67 |
Deflecting adversarial attacks with pixel deflection
|
https://scholar.google.com/scholar?cluster=12321589763437686771&hl=en&as_sdt=0,38
| 4 | 2,018 |
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
| 432 |
cvpr
| 73 | 4 |
2023-06-03 02:03:04.518000
|
https://github.com/naoto0804/cross-domain-detection
| 396 |
Cross-domain weakly-supervised object detection through progressive domain adaptation
|
https://scholar.google.com/scholar?cluster=6318150909176455782&hl=en&as_sdt=0,43
| 11 | 2,018 |
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints
| 458 |
cvpr
| 24 | 8 |
2023-06-03 02:03:04.718000
|
https://github.com/kanezaki/rotationnet
| 120 |
Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints
|
https://scholar.google.com/scholar?cluster=3856056923662439293&hl=en&as_sdt=0,5
| 8 | 2,018 |
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text
| 115 |
cvpr
| 12 | 7 |
2023-06-03 02:03:04.917000
|
https://github.com/computationalmedia/semstyle
| 63 |
Semstyle: Learning to generate stylised image captions using unaligned text
|
https://scholar.google.com/scholar?cluster=4328398835989809262&hl=en&as_sdt=0,18
| 11 | 2,018 |
An End-to-End TextSpotter With Explicit Alignment and Attention
| 213 |
cvpr
| 112 | 18 |
2023-06-03 02:03:05.117000
|
https://github.com/tonghe90/textspotter
| 324 |
An end-to-end textspotter with explicit alignment and attention
|
https://scholar.google.com/scholar?cluster=18084699074907307988&hl=en&as_sdt=0,33
| 20 | 2,018 |
MoCoGAN: Decomposing Motion and Content for Video Generation
| 951 |
cvpr
| 113 | 9 |
2023-06-03 02:03:05.317000
|
https://github.com/sergeytulyakov/mocogan
| 535 |
Mocogan: Decomposing motion and content for video generation
|
https://scholar.google.com/scholar?cluster=5549182152929176563&hl=en&as_sdt=0,33
| 27 | 2,018 |
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
| 126 |
cvpr
| 8 | 3 |
2023-06-03 02:03:05.517000
|
https://github.com/jianwen-xie/3DDescriptorNet
| 33 |
Learning descriptor networks for 3d shape synthesis and analysis
|
https://scholar.google.com/scholar?cluster=536863175475660528&hl=en&as_sdt=0,3
| 3 | 2,018 |
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
| 13 |
cvpr
| 0 | 0 |
2023-06-03 02:03:05.717000
|
https://github.com/ArghyaPal/Adversarial-Data-Programming
| 1 |
Adversarial data programming: Using gans to relax the bottleneck of curated labeled data
|
https://scholar.google.com/scholar?cluster=6926480641310170970&hl=en&as_sdt=0,19
| 1 | 2,018 |
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map
| 403 |
cvpr
| 68 | 5 |
2023-06-03 02:03:05.917000
|
https://github.com/mks0601/V2V-PoseNet_RELEASE
| 349 |
V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map
|
https://scholar.google.com/scholar?cluster=11037099377007218251&hl=en&as_sdt=0,5
| 18 | 2,018 |
Iterative Learning With Open-Set Noisy Labels
| 261 |
cvpr
| 0 | 1 |
2023-06-03 02:03:06.117000
|
https://github.com/YisenWang/ONL
| 9 |
Iterative learning with open-set noisy labels
|
https://scholar.google.com/scholar?cluster=17508278419210766419&hl=en&as_sdt=0,44
| 2 | 2,018 |
SBNet: Sparse Blocks Network for Fast Inference
| 190 |
cvpr
| 90 | 4 |
2023-06-03 02:03:06.320000
|
https://github.com/uber/sbnet
| 430 |
Sbnet: Sparse blocks network for fast inference
|
https://scholar.google.com/scholar?cluster=4427306398598179551&hl=en&as_sdt=0,33
| 21 | 2,018 |
Language-Based Image Editing With Recurrent Attentive Models
| 91 |
cvpr
| 2 | 3 |
2023-06-03 02:03:06.520000
|
https://github.com/Jianbo-Lab/LBIE
| 6 |
Language-based image editing with recurrent attentive models
|
https://scholar.google.com/scholar?cluster=18051777584011321259&hl=en&as_sdt=0,36
| 2 | 2,018 |
Learning to Promote Saliency Detectors
| 61 |
cvpr
| 8 | 1 |
2023-06-03 02:03:06.721000
|
https://github.com/zengxianyu/lps
| 35 |
Learning to promote saliency detectors
|
https://scholar.google.com/scholar?cluster=377805752772553101&hl=en&as_sdt=0,31
| 5 | 2,018 |
Dense 3D Regression for Hand Pose Estimation
| 166 |
cvpr
| 34 | 21 |
2023-06-03 02:03:06.921000
|
https://github.com/melonwan/denseReg
| 179 |
Dense 3d regression for hand pose estimation
|
https://scholar.google.com/scholar?cluster=8182022194391219912&hl=en&as_sdt=0,31
| 16 | 2,018 |
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks
| 200 |
cvpr
| 3 | 0 |
2023-06-03 02:03:07.120000
|
https://github.com/ruthcfong/net2vec
| 31 |
Net2vec: Quantifying and explaining how concepts are encoded by filters in deep neural networks
|
https://scholar.google.com/scholar?cluster=5946143100705962819&hl=en&as_sdt=0,33
| 6 | 2,018 |
Camera Style Adaptation for Person Re-Identification
| 614 |
cvpr
| 76 | 9 |
2023-06-03 02:03:07.320000
|
https://github.com/zhunzhong07/CamStyle
| 279 |
Camera style adaptation for person re-identification
|
https://scholar.google.com/scholar?cluster=8214559104303782322&hl=en&as_sdt=0,47
| 8 | 2,018 |
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)
| 19 |
cvpr
| 4 | 0 |
2023-06-03 02:03:07.519000
|
https://github.com/pelindogan/NeuMATCH
| 16 |
A neural multi-sequence alignment technique (neumatch)
|
https://scholar.google.com/scholar?cluster=15334581548691379629&hl=en&as_sdt=0,33
| 2 | 2,018 |
Path Aggregation Network for Instance Segmentation
| 4,328 |
cvpr
| 278 | 52 |
2023-06-03 02:03:07.723000
|
https://github.com/ShuLiu1993/PANet
| 1,295 |
Path aggregation network for instance segmentation
|
https://scholar.google.com/scholar?cluster=8407059638791168431&hl=en&as_sdt=0,14
| 28 | 2,018 |
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
| 374 |
cvpr
| 10 | 5 |
2023-06-03 02:03:07.923000
|
https://github.com/Seth-Park/MultimodalExplanations
| 47 |
Multimodal explanations: Justifying decisions and pointing to the evidence
|
https://scholar.google.com/scholar?cluster=6065410565479708036&hl=en&as_sdt=0,5
| 6 | 2,018 |
LSTM Pose Machines
| 126 |
cvpr
| 41 | 8 |
2023-06-03 02:03:08.123000
|
https://github.com/lawy623/LSTM_Pose_Machines
| 273 |
Lstm pose machines
|
https://scholar.google.com/scholar?cluster=5712699183271385332&hl=en&as_sdt=0,39
| 23 | 2,018 |
Salient Object Detection Driven by Fixation Prediction
| 198 |
cvpr
| 6 | 2 |
2023-06-03 02:03:08.323000
|
https://github.com/wenguanwang/ASNet
| 42 |
Salient object detection driven by fixation prediction
|
https://scholar.google.com/scholar?cluster=2801091682611332670&hl=en&as_sdt=0,1
| 5 | 2,018 |
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs
| 3,638 |
cvpr
| 1,346 | 227 |
2023-06-03 02:03:08.523000
|
https://github.com/NVIDIA/pix2pixHD
| 6,196 |
High-resolution image synthesis and semantic manipulation with conditional gans
|
https://scholar.google.com/scholar?cluster=8637738140607437341&hl=en&as_sdt=0,10
| 172 | 2,018 |
Convolutional Sequence to Sequence Model for Human Dynamics
| 241 |
cvpr
| 20 | 14 |
2023-06-03 02:03:08.723000
|
https://github.com/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics
| 81 |
Convolutional sequence to sequence model for human dynamics
|
https://scholar.google.com/scholar?cluster=145333264460540785&hl=en&as_sdt=0,33
| 5 | 2,018 |
Semi-Parametric Image Synthesis
| 153 |
cvpr
| 40 | 4 |
2023-06-03 02:03:08.923000
|
https://github.com/xjqicuhk/SIMS
| 269 |
Semi-parametric image synthesis
|
https://scholar.google.com/scholar?cluster=15898753167236393863&hl=en&as_sdt=0,43
| 25 | 2,018 |
BlockDrop: Dynamic Inference Paths in Residual Networks
| 448 |
cvpr
| 38 | 2 |
2023-06-03 02:03:09.122000
|
https://github.com/Tushar-N/blockdrop
| 137 |
Blockdrop: Dynamic inference paths in residual networks
|
https://scholar.google.com/scholar?cluster=13596312469142174239&hl=en&as_sdt=0,34
| 8 | 2,018 |
Interpretable Convolutional Neural Networks
| 730 |
cvpr
| 52 | 5 |
2023-06-03 02:03:09.322000
|
https://github.com/zqs1022/interpretableCNN
| 215 |
Interpretable convolutional neural networks
|
https://scholar.google.com/scholar?cluster=17034472567859664305&hl=en&as_sdt=0,5
| 9 | 2,018 |
A Variational U-Net for Conditional Appearance and Shape Generation
| 416 |
cvpr
| 96 | 12 |
2023-06-03 02:03:09.522000
|
https://github.com/CompVis/vunet
| 483 |
A variational u-net for conditional appearance and shape generation
|
https://scholar.google.com/scholar?cluster=11078035773738033687&hl=en&as_sdt=0,5
| 23 | 2,018 |
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
| 745 |
cvpr
| 64 | 11 |
2023-06-03 02:03:09.721000
|
https://github.com/lfz/Guided-Denoise
| 213 |
Defense against adversarial attacks using high-level representation guided denoiser
|
https://scholar.google.com/scholar?cluster=8705389398028374086&hl=en&as_sdt=0,32
| 5 | 2,018 |
Learning Deep Structured Active Contours End-to-End
| 147 |
cvpr
| 24 | 10 |
2023-06-03 02:03:09.921000
|
https://github.com/dmarcosg/DSAC
| 80 |
Learning deep structured active contours end-to-end
|
https://scholar.google.com/scholar?cluster=1193297421461090891&hl=en&as_sdt=0,5
| 3 | 2,018 |
Learning Latent Super-Events to Detect Multiple Activities in Videos
| 90 |
cvpr
| 34 | 6 |
2023-06-03 02:03:10.121000
|
https://github.com/piergiaj/super-events-cvpr18
| 122 |
Learning latent super-events to detect multiple activities in videos
|
https://scholar.google.com/scholar?cluster=7952995141891673880&hl=en&as_sdt=0,11
| 8 | 2,018 |
Deep Learning Under Privileged Information Using Heteroscedastic Dropout
| 82 |
cvpr
| 14 | 2 |
2023-06-03 02:03:10.321000
|
https://github.com/johnwlambert/dlupi-heteroscedastic-dropout
| 36 |
Deep learning under privileged information using heteroscedastic dropout
|
https://scholar.google.com/scholar?cluster=12603369642103835644&hl=en&as_sdt=0,47
| 3 | 2,018 |
PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference
| 198 |
cvpr
| 21 | 9 |
2023-06-03 02:03:10.521000
|
https://github.com/prashnani/PerceptualImageError
| 174 |
Pieapp: Perceptual image-error assessment through pairwise preference
|
https://scholar.google.com/scholar?cluster=8138503949958601505&hl=en&as_sdt=0,5
| 2 | 2,018 |
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning
| 251 |
cvpr
| 5 | 2 |
2023-06-03 02:03:10.720000
|
https://github.com/xinmei9322/SNTG
| 41 |
Smooth neighbors on teacher graphs for semi-supervised learning
|
https://scholar.google.com/scholar?cluster=2406002490632333318&hl=en&as_sdt=0,31
| 2 | 2,018 |
Fast End-to-End Trainable Guided Filter
| 191 |
cvpr
| 148 | 0 |
2023-06-03 02:03:10.920000
|
https://github.com/wuhuikai/DeepGuidedFilter
| 788 |
Fast end-to-end trainable guided filter
|
https://scholar.google.com/scholar?cluster=6557028345263040826&hl=en&as_sdt=0,50
| 32 | 2,018 |
When Will You Do What? - Anticipating Temporal Occurrences of Activities
| 150 |
cvpr
| 20 | 1 |
2023-06-03 02:03:11.120000
|
https://github.com/yabufarha/anticipating-activities
| 69 |
When will you do what?-anticipating temporal occurrences of activities
|
https://scholar.google.com/scholar?cluster=2962936283769065548&hl=en&as_sdt=0,4
| 5 | 2,018 |
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
| 1,984 |
cvpr
| 349 | 58 |
2023-06-03 02:03:11.320000
|
https://github.com/NVlabs/PWC-Net
| 1,500 |
Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
|
https://scholar.google.com/scholar?cluster=5637139753418325919&hl=en&as_sdt=0,33
| 46 | 2,018 |
Crowd Counting With Deep Negative Correlation Learning
| 268 |
cvpr
| 21 | 10 |
2023-06-03 02:03:11.520000
|
https://github.com/shizenglin/Deep-NCL
| 54 |
Crowd counting with deep negative correlation learning
|
https://scholar.google.com/scholar?cluster=11202985326678769571&hl=en&as_sdt=0,33
| 8 | 2,018 |
Learning Spatial-Aware Regressions for Visual Tracking
| 228 |
cvpr
| 6 | 3 |
2023-06-03 02:03:11.720000
|
https://github.com/cswaynecool/LSART
| 15 |
Learning spatial-aware regressions for visual tracking
|
https://scholar.google.com/scholar?cluster=6829855268105267653&hl=en&as_sdt=0,6
| 1 | 2,018 |
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
| 655 |
cvpr
| 103 | 0 |
2023-06-03 02:03:11.919000
|
https://github.com/twhui/LiteFlowNet
| 553 |
Liteflownet: A lightweight convolutional neural network for optical flow estimation
|
https://scholar.google.com/scholar?cluster=2536526206253919253&hl=en&as_sdt=0,10
| 23 | 2,018 |
Pyramid Stereo Matching Network
| 1,298 |
cvpr
| 408 | 160 |
2023-06-03 02:03:12.119000
|
https://github.com/JiaRenChang/PSMNet
| 1,274 |
Pyramid stereo matching network
|
https://scholar.google.com/scholar?cluster=6542126250928371536&hl=en&as_sdt=0,1
| 33 | 2,018 |
Recurrent Pixel Embedding for Instance Grouping
| 164 |
cvpr
| 21 | 5 |
2023-06-03 02:03:12.319000
|
https://github.com/aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping
| 142 |
Recurrent pixel embedding for instance grouping
|
https://scholar.google.com/scholar?cluster=2298316817080377557&hl=en&as_sdt=0,10
| 10 | 2,018 |
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
| 397 |
cvpr
| 28 | 3 |
2023-06-03 02:03:12.519000
|
https://github.com/kuanghuei/clean-net
| 85 |
Cleannet: Transfer learning for scalable image classifier training with label noise
|
https://scholar.google.com/scholar?cluster=16677004174186912203&hl=en&as_sdt=0,37
| 6 | 2,018 |
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN
| 748 |
cvpr
| 26 | 1 |
2023-06-03 02:03:12.720000
|
https://github.com/Sunnydreamrain/IndRNN_Theano_Lasagne
| 65 |
Independently recurrent neural network (indrnn): Building a longer and deeper rnn
|
https://scholar.google.com/scholar?cluster=5784188603612259222&hl=en&as_sdt=0,15
| 8 | 2,018 |
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
| 33 |
cvpr
| 5 | 2 |
2023-06-03 02:03:12.920000
|
https://github.com/yaxingwang/Mix-and-match-networks
| 21 |
Mix and match networks: encoder-decoder alignment for zero-pair image translation
|
https://scholar.google.com/scholar?cluster=8929857447752153415&hl=en&as_sdt=0,31
| 4 | 2,018 |
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM
| 129 |
cvpr
| 230 | 27 |
2023-06-03 02:03:13.124000
|
https://github.com/baidu/ICE-BA
| 665 |
Ice-ba: Incremental, consistent and efficient bundle adjustment for visual-inertial slam
|
https://scholar.google.com/scholar?cluster=8671494492906580575&hl=en&as_sdt=0,33
| 69 | 2,018 |
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
| 1,051 |
cvpr
| 182 | 6 |
2023-06-03 02:03:13.324000
|
https://github.com/yzcjtr/GeoNet
| 705 |
Geonet: Unsupervised learning of dense depth, optical flow and camera pose
|
https://scholar.google.com/scholar?cluster=1957429302279516892&hl=en&as_sdt=0,44
| 35 | 2,018 |
Between-Class Learning for Image Classification
| 207 |
cvpr
| 20 | 2 |
2023-06-03 02:03:13.524000
|
https://github.com/mil-tokyo/bc_learning_image
| 61 |
Between-class learning for image classification
|
https://scholar.google.com/scholar?cluster=3081558640601116808&hl=en&as_sdt=0,33
| 17 | 2,018 |
Gibson Env: Real-World Perception for Embodied Agents
| 588 |
cvpr
| 142 | 45 |
2023-06-03 02:03:13.724000
|
https://github.com/StanfordVL/GibsonEnv
| 773 |
Gibson env: Real-world perception for embodied agents
|
https://scholar.google.com/scholar?cluster=4664950294258475912&hl=en&as_sdt=0,34
| 31 | 2,018 |
Radially-Distorted Conjugate Translations
| 37 |
cvpr
| 7 | 3 |
2023-06-03 02:03:13.925000
|
https://github.com/prittjam/repeats
| 13 |
Radially-distorted conjugate translations
|
https://scholar.google.com/scholar?cluster=3359150264756483345&hl=en&as_sdt=0,33
| 3 | 2,018 |
Deep Ordinal Regression Network for Monocular Depth Estimation
| 1,435 |
cvpr
| 105 | 27 |
2023-06-03 02:03:14.125000
|
https://github.com/hufu6371/DORN
| 459 |
Deep ordinal regression network for monocular depth estimation
|
https://scholar.google.com/scholar?cluster=14501834367390829598&hl=en&as_sdt=0,28
| 19 | 2,018 |
Generative Image Inpainting With Contextual Attention
| 2,102 |
cvpr
| 761 | 60 |
2023-06-03 02:03:14.325000
|
https://github.com/JiahuiYu/generative_inpainting
| 3,018 |
Generative image inpainting with contextual attention
|
https://scholar.google.com/scholar?cluster=11541279513087894235&hl=en&as_sdt=0,23
| 76 | 2,018 |
Detail-Preserving Pooling in Deep Networks
| 115 |
cvpr
| 23 | 10 |
2023-06-03 02:03:14.525000
|
https://github.com/visinf/dpp
| 113 |
Detail-preserving pooling in deep networks
|
https://scholar.google.com/scholar?cluster=5703076471782110981&hl=en&as_sdt=0,31
| 9 | 2,018 |
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image
| 228 |
cvpr
| 33 | 10 |
2023-06-03 02:03:14.726000
|
https://github.com/zouchuhang/LayoutNetv2
| 188 |
Layoutnet: Reconstructing the 3d room layout from a single rgb image
|
https://scholar.google.com/scholar?cluster=2583895775464722589&hl=en&as_sdt=0,33
| 13 | 2,018 |
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
| 60 |
cvpr
| 13 | 9 |
2023-06-03 02:03:14.925000
|
https://github.com/kbatsos/CBMV
| 53 |
CBMV: A coalesced bidirectional matching volume for disparity estimation
|
https://scholar.google.com/scholar?cluster=14846125074255444911&hl=en&as_sdt=0,33
| 9 | 2,018 |
Convolutional Image Captioning
| 368 |
cvpr
| 38 | 15 |
2023-06-03 02:03:15.125000
|
https://github.com/aditya12agd5/convcap
| 128 |
Convolutional image captioning
|
https://scholar.google.com/scholar?cluster=9745346638332045201&hl=en&as_sdt=0,33
| 6 | 2,018 |
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
| 48 |
cvpr
| 2 | 2 |
2023-06-03 02:03:15.325000
|
https://github.com/Artifineuro/zole
| 23 |
Zoom and learn: Generalizing deep stereo matching to novel domains
|
https://scholar.google.com/scholar?cluster=10212198475260872815&hl=en&as_sdt=0,44
| 1 | 2,018 |
Learning Intelligent Dialogs for Bounding Box Annotation
| 42 |
cvpr
| 9 | 1 |
2023-06-03 02:03:15.525000
|
https://github.com/google/intelligent_annotation_dialogs
| 28 |
Learning intelligent dialogs for bounding box annotation
|
https://scholar.google.com/scholar?cluster=14057255053273314230&hl=en&as_sdt=0,33
| 9 | 2,018 |
PointGrid: A Deep Network for 3D Shape Understanding
| 317 |
cvpr
| 20 | 10 |
2023-06-03 02:03:15.725000
|
https://github.com/trucleduc/PointGrid
| 59 |
Pointgrid: A deep network for 3d shape understanding
|
https://scholar.google.com/scholar?cluster=5793294535318142928&hl=en&as_sdt=0,33
| 6 | 2,018 |
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
| 416 |
cvpr
| 274 | 34 |
2023-06-03 02:03:15.925000
|
https://github.com/wywu/LAB
| 997 |
Look at boundary: A boundary-aware face alignment algorithm
|
https://scholar.google.com/scholar?cluster=16870653029527986322&hl=en&as_sdt=0,5
| 70 | 2,018 |
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
| 319 |
cvpr
| 181 | 54 |
2023-06-03 02:03:16.126000
|
https://github.com/mapillary/inplace_abn
| 1,276 |
In-place activated batchnorm for memory-optimized training of dnns
|
https://scholar.google.com/scholar?cluster=5642068797752856080&hl=en&as_sdt=0,19
| 39 | 2,018 |
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks
| 1,100 |
cvpr
| 315 | 52 |
2023-06-03 02:03:16.326000
|
https://github.com/facebookresearch/SparseConvNet
| 1,848 |
3d semantic segmentation with submanifold sparse convolutional networks
|
https://scholar.google.com/scholar?cluster=7438723884655241525&hl=en&as_sdt=0,6
| 45 | 2,018 |
DVQA: Understanding Data Visualizations via Question Answering
| 152 |
cvpr
| 1 | 1 |
2023-06-03 02:03:16.526000
|
https://github.com/kushalkafle/DVQA_dataset
| 26 |
Dvqa: Understanding data visualizations via question answering
|
https://scholar.google.com/scholar?cluster=14643397421272652205&hl=en&as_sdt=0,33
| 4 | 2,018 |
TOM-Net: Learning Transparent Object Matting From a Single Image
| 63 |
cvpr
| 13 | 0 |
2023-06-03 02:03:16.726000
|
https://github.com/guanyingc/TOM-Net
| 86 |
Tom-net: Learning transparent object matting from a single image
|
https://scholar.google.com/scholar?cluster=15606383417990887187&hl=en&as_sdt=0,40
| 9 | 2,018 |
An Unsupervised Learning Model for Deformable Medical Image Registration
| 596 |
cvpr
| 14 | 0 |
2023-06-03 02:03:16.927000
|
https://github.com/balakg/voxelmorph
| 50 |
An unsupervised learning model for deformable medical image registration
|
https://scholar.google.com/scholar?cluster=12326446542960778734&hl=en&as_sdt=0,39
| 15 | 2,018 |
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
| 150 |
cvpr
| 59 | 17 |
2023-06-03 02:03:17.127000
|
https://github.com/adalca/neuron
| 286 |
Anatomical priors in convolutional networks for unsupervised biomedical segmentation
|
https://scholar.google.com/scholar?cluster=16777184933272965833&hl=en&as_sdt=0,34
| 21 | 2,018 |
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks
| 1,519 |
cvpr
| 250 | 59 |
2023-06-03 02:03:17.327000
|
https://github.com/agrimgupta92/sgan
| 734 |
Social gan: Socially acceptable trajectories with generative adversarial networks
|
https://scholar.google.com/scholar?cluster=129172247046928959&hl=en&as_sdt=0,25
| 18 | 2,018 |
Deep Group-Shuffling Random Walk for Person Re-Identification
| 160 |
cvpr
| 29 | 1 |
2023-06-03 02:03:17.527000
|
https://github.com/YantaoShen/kpm_rw_person_reid
| 103 |
Deep group-shuffling random walk for person re-identification
|
https://scholar.google.com/scholar?cluster=9330144390873119070&hl=en&as_sdt=0,37
| 6 | 2,018 |
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks
| 113 |
cvpr
| 301 | 27 |
2023-06-03 02:03:17.728000
|
https://github.com/Rock-100/FaceKit
| 1,071 |
Real-time rotation-invariant face detection with progressive calibration networks
|
https://scholar.google.com/scholar?cluster=13534144308727796881&hl=en&as_sdt=0,32
| 71 | 2,018 |
Learning to Evaluate Image Captioning
| 123 |
cvpr
| 11 | 4 |
2023-06-03 02:03:17.929000
|
https://github.com/richardaecn/cvpr18-caption-eval
| 81 |
Learning to evaluate image captioning
|
https://scholar.google.com/scholar?cluster=6231020248740057140&hl=en&as_sdt=0,31
| 9 | 2,018 |
SO-Net: Self-Organizing Network for Point Cloud Analysis
| 866 |
cvpr
| 81 | 9 |
2023-06-03 02:03:18.130000
|
https://github.com/lijx10/SO-Net
| 333 |
So-net: Self-organizing network for point cloud analysis
|
https://scholar.google.com/scholar?cluster=16985384514000508037&hl=en&as_sdt=0,47
| 14 | 2,018 |
Neural Motifs: Scene Graph Parsing With Global Context
| 787 |
cvpr
| 116 | 40 |
2023-06-03 02:03:18.331000
|
https://github.com/rowanz/neural-motifs
| 494 |
Neural motifs: Scene graph parsing with global context
|
https://scholar.google.com/scholar?cluster=503182414007319468&hl=en&as_sdt=0,43
| 18 | 2,018 |
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
| 267 |
cvpr
| 32 | 10 |
2023-06-03 02:03:18.530000
|
https://github.com/wchen342/SketchyGAN
| 124 |
Sketchygan: Towards diverse and realistic sketch to image synthesis
|
https://scholar.google.com/scholar?cluster=3882701906354721873&hl=en&as_sdt=0,47
| 6 | 2,018 |
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
| 289 |
cvpr
| 73 | 4 |
2023-06-03 02:03:18.731000
|
https://github.com/chenhsuanlin/spatial-transformer-GAN
| 330 |
St-gan: Spatial transformer generative adversarial networks for image compositing
|
https://scholar.google.com/scholar?cluster=13423942867154123344&hl=en&as_sdt=0,33
| 13 | 2,018 |
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
| 28 |
cvpr
| 7 | 2 |
2023-06-03 02:03:18.931000
|
https://github.com/verlab/SemanticFastForward_CVPR_2018
| 8 |
A weighted sparse sampling and smoothing frame transition approach for semantic fast-forward first-person videos
|
https://scholar.google.com/scholar?cluster=13523099890582023655&hl=en&as_sdt=0,32
| 9 | 2,018 |
Deep Layer Aggregation
| 1,181 |
cvpr
| 87 | 12 |
2023-06-03 02:03:19.131000
|
https://github.com/ucbdrive/dla
| 414 |
Deep layer aggregation
|
https://scholar.google.com/scholar?cluster=12605188017174616564&hl=en&as_sdt=0,33
| 13 | 2,018 |
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar
| 139 |
cvpr
| 15 | 1 |
2023-06-03 02:03:19.331000
|
https://github.com/SiyuanQi/human-centric-scene-synthesis
| 80 |
Human-centric indoor scene synthesis using stochastic grammar
|
https://scholar.google.com/scholar?cluster=14155708423777654581&hl=en&as_sdt=0,5
| 5 | 2,018 |
Convolutional Neural Networks With Alternately Updated Clique
| 140 |
cvpr
| 77 | 9 |
2023-06-03 02:03:19.531000
|
https://github.com/iboing/CliqueNet
| 329 |
Convolutional neural networks with alternately updated clique
|
https://scholar.google.com/scholar?cluster=6622253267851873985&hl=en&as_sdt=0,10
| 19 | 2,018 |
Residual Dense Network for Image Super-Resolution
| 3,009 |
cvpr
| 107 | 17 |
2023-06-03 02:03:19.732000
|
https://github.com/yulunzhang/RDN
| 505 |
Residual dense network for image super-resolution
|
https://scholar.google.com/scholar?cluster=10362327168909609533&hl=en&as_sdt=0,33
| 16 | 2,018 |
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors
| 432 |
cvpr
| 54 | 11 |
2023-06-03 02:03:19.932000
|
https://github.com/tyshiwo/FSRNet
| 254 |
Fsrnet: End-to-end learning face super-resolution with facial priors
|
https://scholar.google.com/scholar?cluster=11045837059104237071&hl=en&as_sdt=0,21
| 20 | 2,018 |
Surface Networks
| 84 |
cvpr
| 20 | 6 |
2023-06-03 02:03:20.132000
|
https://github.com/jiangzhongshi/SurfaceNetworks
| 87 |
Surface networks
|
https://scholar.google.com/scholar?cluster=4701841533359128721&hl=en&as_sdt=0,5
| 8 | 2,018 |
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
| 488 |
cvpr
| 61 | 30 |
2023-06-03 02:03:20.332000
|
https://github.com/laughtervv/SGPN
| 253 |
Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
|
https://scholar.google.com/scholar?cluster=10828175727380616387&hl=en&as_sdt=0,5
| 9 | 2,018 |
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image
| 187 |
cvpr
| 82 | 20 |
2023-06-03 02:03:20.532000
|
https://github.com/art-programmer/PlaneNet
| 381 |
Planenet: Piece-wise planar reconstruction from a single rgb image
|
https://scholar.google.com/scholar?cluster=15607486127971815360&hl=en&as_sdt=0,33
| 18 | 2,018 |
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
| 4,124 |
cvpr
| 385 | 65 |
2023-06-03 02:03:20.732000
|
https://github.com/peteanderson80/bottom-up-attention
| 1,337 |
Bottom-up and top-down attention for image captioning and visual question answering
|
https://scholar.google.com/scholar?cluster=7383633913245131178&hl=en&as_sdt=0,18
| 25 | 2,018 |
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
| 315 |
cvpr
| 15 | 2 |
2023-06-03 02:03:20.932000
|
https://github.com/nitika-verma/FeaStNet
| 58 |
Feastnet: Feature-steered graph convolutions for 3d shape analysis
|
https://scholar.google.com/scholar?cluster=18220966840925909139&hl=en&as_sdt=0,33
| 9 | 2,018 |
Geometry-Aware Learning of Maps for Camera Localization
| 327 |
cvpr
| 78 | 9 |
2023-06-03 02:03:21.131000
|
https://github.com/NVlabs/geomapnet
| 330 |
Geometry-aware learning of maps for camera localization
|
https://scholar.google.com/scholar?cluster=15361942550307476955&hl=en&as_sdt=0,33
| 27 | 2,018 |
Recurrent Slice Networks for 3D Segmentation of Point Clouds
| 423 |
cvpr
| 40 | 13 |
2023-06-03 02:03:21.331000
|
https://github.com/qianguih/RSNet
| 112 |
Recurrent slice networks for 3d segmentation of point clouds
|
https://scholar.google.com/scholar?cluster=15745594784158675393&hl=en&as_sdt=0,33
| 9 | 2,018 |
Focal Visual-Text Attention for Visual Question Answering
| 103 |
cvpr
| 15 | 0 |
2023-06-03 02:03:21.531000
|
https://github.com/JunweiLiang/FVTA_MemexQA
| 33 |
Focal visual-text attention for visual question answering
|
https://scholar.google.com/scholar?cluster=8603088268635789565&hl=en&as_sdt=0,14
| 4 | 2,018 |
SeGAN: Segmenting and Generating the Invisible
| 130 |
cvpr
| 12 | 0 |
2023-06-03 02:03:21.731000
|
https://github.com/ehsanik/SeGAN
| 61 |
Segan: Segmenting and generating the invisible
|
https://scholar.google.com/scholar?cluster=145087875116009054&hl=en&as_sdt=0,39
| 5 | 2,018 |
Cascade R-CNN: Delving Into High Quality Object Detection
| 3,901 |
cvpr
| 300 | 49 |
2023-06-03 02:03:21.931000
|
https://github.com/zhaoweicai/cascade-rcnn
| 1,014 |
Cascade r-cnn: Delving into high quality object detection
|
https://scholar.google.com/scholar?cluster=90386599069203250&hl=en&as_sdt=0,33
| 41 | 2,018 |
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network
| 319 |
cvpr
| 36 | 1 |
2023-06-03 02:03:22.132000
|
https://github.com/ypxie/HDGan
| 149 |
Photographic text-to-image synthesis with a hierarchically-nested adversarial network
|
https://scholar.google.com/scholar?cluster=15980568541820197143&hl=en&as_sdt=0,5
| 11 | 2,018 |
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
| 792 |
cvpr
| 136 | 11 |
2023-06-03 02:03:22.332000
|
https://github.com/ShichenLiu/CondenseNet
| 692 |
Condensenet: An efficient densenet using learned group convolutions
|
https://scholar.google.com/scholar?cluster=962038121370501229&hl=en&as_sdt=0,33
| 23 | 2,018 |
Inferring Light Fields From Shadows
| 65 |
cvpr
| 2 | 0 |
2023-06-03 02:03:22.531000
|
https://github.com/mbaradad/shadow2lightfield
| 3 |
Inferring light fields from shadows
|
https://scholar.google.com/scholar?cluster=537944593784033046&hl=en&as_sdt=0,33
| 1 | 2,018 |
PU-Net: Point Cloud Upsampling Network
| 452 |
cvpr
| 81 | 20 |
2023-06-03 02:03:22.731000
|
https://github.com/yulequan/PU-Net
| 314 |
Pu-net: Point cloud upsampling network
|
https://scholar.google.com/scholar?cluster=13363120035792906943&hl=en&as_sdt=0,21
| 6 | 2,018 |
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer
| 255 |
cvpr
| 36 | 0 |
2023-06-03 02:03:22.932000
|
https://github.com/atapour/monocularDepth-Inference
| 141 |
Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer
|
https://scholar.google.com/scholar?cluster=13567427763844087834&hl=en&as_sdt=0,18
| 11 | 2,018 |
DeepMVS: Learning Multi-View Stereopsis
| 391 |
cvpr
| 85 | 9 |
2023-06-03 02:03:23.133000
|
https://github.com/phuang17/DeepMVS
| 322 |
Deepmvs: Learning multi-view stereopsis
|
https://scholar.google.com/scholar?cluster=3902531294143230272&hl=en&as_sdt=0,33
| 23 | 2,018 |
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling
| 2 |
cvpr
| 4 | 0 |
2023-06-03 02:03:23.333000
|
https://github.com/alexhuth/BHA
| 7 |
Efficient, sparse representation of manifold distance matrices for classical scaling
|
https://scholar.google.com/scholar?cluster=4797402609750056863&hl=en&as_sdt=0,33
| 4 | 2,018 |
Motion Segmentation by Exploiting Complementary Geometric Models
| 35 |
cvpr
| 1 | 0 |
2023-06-03 02:03:23.533000
|
https://github.com/alex-xun-xu/MultiViewMoSeg
| 10 |
Motion segmentation by exploiting complementary geometric models
|
https://scholar.google.com/scholar?cluster=11763896756712542552&hl=en&as_sdt=0,44
| 1 | 2,018 |
AMNet: Memorability Estimation With Attention
| 56 |
cvpr
| 11 | 6 |
2023-06-03 02:03:23.733000
|
https://github.com/ok1zjf/amnet
| 43 |
Amnet: Memorability estimation with attention
|
https://scholar.google.com/scholar?cluster=11101962702948448138&hl=en&as_sdt=0,33
| 5 | 2,018 |
Deep Marching Cubes: Learning Explicit Surface Representations
| 198 |
cvpr
| 33 | 5 |
2023-06-03 02:03:23.933000
|
https://github.com/yiyiliao/deep_marching_cubes
| 240 |
Deep marching cubes: Learning explicit surface representations
|
https://scholar.google.com/scholar?cluster=11921517846424504884&hl=en&as_sdt=0,33
| 9 | 2,018 |
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