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
|
|---|---|---|---|---|---|---|---|---|---|---|---|
PolarMask: Single Shot Instance Segmentation With Polar Representation | 458 | cvpr | 156 | 28 | 2023-06-03 02:44:57.701000 | https://github.com/xieenze/PolarMask | 853 | Polarmask: Single shot instance segmentation with polar representation | https://scholar.google.com/scholar?cluster=15407313785451367942&hl=en&as_sdt=0,21 | 36 | 2,020 |
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training | 172 | cvpr | 13 | 10 | 2023-06-03 02:44:57.902000 | https://github.com/weituo12321/PREVALENT | 73 | Towards learning a generic agent for vision-and-language navigation via pre-training | https://scholar.google.com/scholar?cluster=9681104275129231918&hl=en&as_sdt=0,5 | 6 | 2,020 |
Active Speakers in Context | 53 | cvpr | 12 | 7 | 2023-06-03 02:44:58.103000 | https://github.com/fuankarion/active-speakers-context | 52 | Active speakers in context | https://scholar.google.com/scholar?cluster=7788879475196732804&hl=en&as_sdt=0,44 | 7 | 2,020 |
nuScenes: A Multimodal Dataset for Autonomous Driving | 2,844 | cvpr | 556 | 5 | 2023-06-03 02:44:58.304000 | https://github.com/nutonomy/nuscenes-devkit | 1,760 | nuscenes: A multimodal dataset for autonomous driving | https://scholar.google.com/scholar?cluster=5001044621269851763&hl=en&as_sdt=0,5 | 57 | 2,020 |
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds | 1,019 | cvpr | 305 | 168 | 2023-06-03 02:44:58.506000 | https://github.com/QingyongHu/RandLA-Net | 1,104 | Randla-net: Efficient semantic segmentation of large-scale point clouds | https://scholar.google.com/scholar?cluster=9271488589585712222&hl=en&as_sdt=0,5 | 29 | 2,020 |
Learning to Structure an Image With Few Colors | 9 | cvpr | 10 | 0 | 2023-06-03 02:44:58.706000 | https://github.com/hou-yz/color_distillation | 43 | Learning to structure an image with few colors | https://scholar.google.com/scholar?cluster=16744267671465422085&hl=en&as_sdt=0,5 | 4 | 2,020 |
Discriminative Multi-Modality Speech Recognition | 68 | cvpr | 4 | 3 | 2023-06-03 02:44:58.907000 | https://github.com/JackSyu/Discriminative-Multi-modality-Speech-Recognition | 22 | Discriminative multi-modality speech recognition | https://scholar.google.com/scholar?cluster=6034956681907996576&hl=en&as_sdt=0,5 | 2 | 2,020 |
Improving Convolutional Networks With Self-Calibrated Convolutions | 256 | cvpr | 68 | 13 | 2023-06-03 02:44:59.108000 | https://github.com/MCG-NKU/SCNet | 342 | Improving convolutional networks with self-calibrated convolutions | https://scholar.google.com/scholar?cluster=13875948799153819939&hl=en&as_sdt=0,5 | 8 | 2,020 |
CenterMask: Real-Time Anchor-Free Instance Segmentation | 416 | cvpr | 127 | 30 | 2023-06-03 02:44:59.310000 | https://github.com/youngwanLEE/CenterMask | 744 | Centermask: Real-time anchor-free instance segmentation | https://scholar.google.com/scholar?cluster=9190599054932808738&hl=en&as_sdt=0,33 | 28 | 2,020 |
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences | 64 | cvpr | 2 | 3 | 2023-06-03 02:44:59.511000 | https://github.com/Guaranteer/VidSTG-Dataset | 40 | Where does it exist: Spatio-temporal video grounding for multi-form sentences | https://scholar.google.com/scholar?cluster=11128628025238757345&hl=en&as_sdt=0,31 | 3 | 2,020 |
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors | 67 | cvpr | 18 | 4 | 2023-06-03 02:44:59.711000 | https://github.com/TRI-ML/sdflabel | 146 | Autolabeling 3d objects with differentiable rendering of sdf shape priors | https://scholar.google.com/scholar?cluster=10828754482259678272&hl=en&as_sdt=0,38 | 20 | 2,020 |
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks | 32 | cvpr | 5 | 23 | 2023-06-03 13:15:34.423000 | https://github.com/anonymous-p/Flickering_Adversarial_Video | 10 | Over-the-air adversarial flickering attacks against video recognition networks | https://scholar.google.com/scholar?cluster=1971192817021827614&hl=en&as_sdt=0,5 | 2 | 2,021 |
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network | 24 | cvpr | 13 | 0 | 2023-06-03 13:15:34.616000 | https://github.com/jnjaby/DISCNet | 80 | Removing diffraction image artifacts in under-display camera via dynamic skip connection network | https://scholar.google.com/scholar?cluster=3983776603530738938&hl=en&as_sdt=0,11 | 4 | 2,021 |
Pose Recognition With Cascade Transformers | 111 | cvpr | 29 | 4 | 2023-06-03 13:15:34.808000 | https://github.com/mlpc-ucsd/PRTR | 137 | Pose recognition with cascade transformers | https://scholar.google.com/scholar?cluster=14887553364347629414&hl=en&as_sdt=0,44 | 13 | 2,021 |
Learning Optical Flow From a Few Matches | 37 | cvpr | 20 | 3 | 2023-06-03 13:15:34.999000 | https://github.com/zacjiang/scv | 162 | Learning optical flow from a few matches | https://scholar.google.com/scholar?cluster=7258193922631074097&hl=en&as_sdt=0,33 | 5 | 2,021 |
Invertible Denoising Network: A Light Solution for Real Noise Removal | 89 | cvpr | 30 | 14 | 2023-06-03 13:15:35.191000 | https://github.com/Yang-Liu1082/InvDN | 166 | Invertible denoising network: A light solution for real noise removal | https://scholar.google.com/scholar?cluster=14037959648355873882&hl=en&as_sdt=0,33 | 6 | 2,021 |
Body Meshes as Points | 42 | cvpr | 8 | 4 | 2023-06-03 13:15:35.382000 | https://github.com/jfzhang95/BMP | 87 | Body meshes as points | https://scholar.google.com/scholar?cluster=3346955857454005555&hl=en&as_sdt=0,5 | 13 | 2,021 |
DeepI2P: Image-to-Point Cloud Registration via Deep Classification | 26 | cvpr | 27 | 12 | 2023-06-03 13:15:35.573000 | https://github.com/lijx10/DeepI2P | 155 | DeepI2P: Image-to-point cloud registration via deep classification | https://scholar.google.com/scholar?cluster=7774915630757621107&hl=en&as_sdt=0,5 | 7 | 2,021 |
Contrastive Learning for Compact Single Image Dehazing | 267 | cvpr | 41 | 29 | 2023-06-03 13:15:35.764000 | https://github.com/GlassyWu/AECR-Net | 281 | Contrastive learning for compact single image dehazing | https://scholar.google.com/scholar?cluster=17020400068555293189&hl=en&as_sdt=0,11 | 11 | 2,021 |
Image Inpainting With External-Internal Learning and Monochromic Bottleneck | 39 | cvpr | 17 | 2 | 2023-06-03 13:15:35.956000 | https://github.com/Tengfei-Wang/external-internal-inpainting | 102 | Image inpainting with external-internal learning and monochromic bottleneck | https://scholar.google.com/scholar?cluster=14224572370234853034&hl=en&as_sdt=0,5 | 7 | 2,021 |
Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles | 47 | cvpr | 5 | 5 | 2023-06-03 13:15:36.147000 | https://github.com/mad-red/VSR-guided-CIC | 34 | Human-like controllable image captioning with verb-specific semantic roles | https://scholar.google.com/scholar?cluster=12597473402434340086&hl=en&as_sdt=0,5 | 3 | 2,021 |
Camouflaged Object Segmentation With Distraction Mining | 134 | cvpr | 18 | 2 | 2023-06-03 13:15:36.338000 | https://github.com/Mhaiyang/CVPR2021_PFNet | 42 | Camouflaged object segmentation with distraction mining | https://scholar.google.com/scholar?cluster=7630580972527672421&hl=en&as_sdt=0,5 | 3 | 2,021 |
Counterfactual Zero-Shot and Open-Set Visual Recognition | 111 | cvpr | 26 | 11 | 2023-06-03 13:15:36.530000 | https://github.com/yue-zhongqi/gcm-cf | 144 | Counterfactual zero-shot and open-set visual recognition | https://scholar.google.com/scholar?cluster=10738089830275739569&hl=en&as_sdt=0,10 | 4 | 2,021 |
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning | 122 | cvpr | 17 | 1 | 2023-06-03 13:15:36.722000 | https://github.com/JHL-HUST/VT | 63 | Enhancing the transferability of adversarial attacks through variance tuning | https://scholar.google.com/scholar?cluster=11385140174337165659&hl=en&as_sdt=0,10 | 2 | 2,021 |
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences | 85 | cvpr | 23 | 6 | 2023-06-03 13:15:36.912000 | https://github.com/GrumpyZhou/patch2pix | 219 | Patch2pix: Epipolar-guided pixel-level correspondences | https://scholar.google.com/scholar?cluster=13802913128122909727&hl=en&as_sdt=0,14 | 11 | 2,021 |
In the Light of Feature Distributions: Moment Matching for Neural Style Transfer | 33 | cvpr | 9 | 1 | 2023-06-03 13:15:37.104000 | https://github.com/D1noFuzi/cmd_styletransfer | 52 | In the light of feature distributions: moment matching for neural style transfer | https://scholar.google.com/scholar?cluster=7113714540707615178&hl=en&as_sdt=0,5 | 2 | 2,021 |
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition | 171 | cvpr | 66 | 5 | 2023-06-03 13:15:37.295000 | https://github.com/QVPR/Patch-NetVLAD | 410 | Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition | https://scholar.google.com/scholar?cluster=4050802902199111696&hl=en&as_sdt=0,44 | 21 | 2,021 |
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification | 46 | cvpr | 3 | 2 | 2023-06-03 13:15:37.486000 | https://github.com/blue-blue272/BiCnet-TKS | 37 | Bicnet-tks: Learning efficient spatial-temporal representation for video person re-identification | https://scholar.google.com/scholar?cluster=16686470908254801103&hl=en&as_sdt=0,23 | 1 | 2,021 |
Harmonious Semantic Line Detection via Maximal Weight Clique Selection | 5 | cvpr | 0 | 4 | 2023-06-03 13:15:37.677000 | https://github.com/dongkwonjin/Semantic-Line-MWCS | 16 | Harmonious semantic line detection via maximal weight clique selection | https://scholar.google.com/scholar?cluster=7226046490518620730&hl=en&as_sdt=0,5 | 1 | 2,021 |
Holistic 3D Scene Understanding From a Single Image With Implicit Representation | 37 | cvpr | 26 | 7 | 2023-06-03 13:15:37.869000 | https://github.com/chengzhag/Implicit3DUnderstanding | 163 | Holistic 3d scene understanding from a single image with implicit representation | https://scholar.google.com/scholar?cluster=11414993971770780395&hl=en&as_sdt=0,44 | 6 | 2,021 |
Progressive Temporal Feature Alignment Network for Video Inpainting | 29 | cvpr | 11 | 9 | 2023-06-03 13:15:38.060000 | https://github.com/MaureenZOU/TSAM | 83 | Progressive temporal feature alignment network for video inpainting | https://scholar.google.com/scholar?cluster=8405470385786131986&hl=en&as_sdt=0,36 | 4 | 2,021 |
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization | 34 | cvpr | 5 | 1 | 2023-06-03 13:15:38.252000 | https://github.com/huangjh-pub/multibody-sync | 54 | Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization | https://scholar.google.com/scholar?cluster=15305667257897007287&hl=en&as_sdt=0,5 | 4 | 2,021 |
Dual Attention Guided Gaze Target Detection in the Wild | 31 | cvpr | 1 | 4 | 2023-06-03 13:15:38.443000 | https://github.com/Crystal2333/DAM | 16 | Dual attention guided gaze target detection in the wild | https://scholar.google.com/scholar?cluster=10601375019192102383&hl=en&as_sdt=0,5 | 9 | 2,021 |
Zero-Shot Instance Segmentation | 29 | cvpr | 13 | 3 | 2023-06-03 13:15:38.635000 | https://github.com/zhengye1995/Zero-shot-Instance-Segmentation | 91 | Zero-shot instance segmentation | https://scholar.google.com/scholar?cluster=5231595860077685933&hl=en&as_sdt=0,5 | 3 | 2,021 |
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms | 61 | cvpr | 26 | 9 | 2023-06-03 13:15:38.832000 | https://github.com/mahmoudnafifi/HistoGAN | 229 | Histogan: Controlling colors of gan-generated and real images via color histograms | https://scholar.google.com/scholar?cluster=4600507092960456581&hl=en&as_sdt=0,26 | 20 | 2,021 |
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling | 80 | cvpr | 18 | 0 | 2023-06-03 13:15:39.042000 | https://github.com/jiwei0921/MRNet | 84 | Learning calibrated medical image segmentation via multi-rater agreement modeling | https://scholar.google.com/scholar?cluster=5434628992931585830&hl=en&as_sdt=0,33 | 2 | 2,021 |
Global Transport for Fluid Reconstruction With Learned Self-Supervision | 8 | cvpr | 4 | 1 | 2023-06-03 13:15:39.233000 | https://github.com/tum-pbs/Global-Flow-Transport | 17 | Global transport for fluid reconstruction with learned self-supervision | https://scholar.google.com/scholar?cluster=8005056883694230577&hl=en&as_sdt=0,21 | 2 | 2,021 |
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding | 33 | cvpr | 9 | 2 | 2023-06-03 13:15:39.425000 | https://github.com/svip-lab/LBYLNet | 46 | Look before you leap: Learning landmark features for one-stage visual grounding | https://scholar.google.com/scholar?cluster=12785412923589559702&hl=en&as_sdt=0,11 | 3 | 2,021 |
Probabilistic Model Distillation for Semantic Correspondence | 15 | cvpr | 3 | 0 | 2023-06-03 13:15:39.616000 | https://github.com/fanyang587/PMD | 8 | Probabilistic model distillation for semantic correspondence | https://scholar.google.com/scholar?cluster=7338013440094189551&hl=en&as_sdt=0,5 | 2 | 2,021 |
Pulsar: Efficient Sphere-Based Neural Rendering | 59 | cvpr | 1,138 | 188 | 2023-06-03 13:15:39.808000 | https://github.com/facebookresearch/pytorch3d | 7,340 | Pulsar: Efficient sphere-based neural rendering | https://scholar.google.com/scholar?cluster=12850046466040235522&hl=en&as_sdt=0,14 | 139 | 2,021 |
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction | 36 | cvpr | 27 | 7 | 2023-06-03 13:15:40 | https://github.com/yinyunie/RfDNet | 178 | Rfd-net: Point scene understanding by semantic instance reconstruction | https://scholar.google.com/scholar?cluster=10783127167522609962&hl=en&as_sdt=0,33 | 7 | 2,021 |
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network | 18 | cvpr | 1 | 1 | 2023-06-03 13:15:40.191000 | https://github.com/xdxuyang/Self-Supervised-Semantic-Alignment-for-Graph-Convolution-Network | 10 | SelfSAGCN: Self-supervised semantic alignment for graph convolution network | https://scholar.google.com/scholar?cluster=13594420274118500841&hl=en&as_sdt=0,24 | 1 | 2,021 |
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification | 42 | cvpr | 6 | 0 | 2023-06-03 13:15:40.382000 | https://github.com/fei960922/GPointNet | 28 | Generative pointnet: Deep energy-based learning on unordered point sets for 3d generation, reconstruction and classification | https://scholar.google.com/scholar?cluster=3673274025271862236&hl=en&as_sdt=0,5 | 5 | 2,021 |
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization | 118 | cvpr | 31 | 25 | 2023-06-03 13:15:40.574000 | https://github.com/TencentYoutuResearch/ActionDetection-AFSD | 159 | Learning salient boundary feature for anchor-free temporal action localization | https://scholar.google.com/scholar?cluster=8767327019590446489&hl=en&as_sdt=0,14 | 4 | 2,021 |
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples | 154 | cvpr | 17 | 9 | 2023-06-03 13:15:40.766000 | https://github.com/tinapan-pt/VideoMoCo | 129 | Videomoco: Contrastive video representation learning with temporally adversarial examples | https://scholar.google.com/scholar?cluster=11857838950674173680&hl=en&as_sdt=0,33 | 11 | 2,021 |
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect | 37 | cvpr | 1 | 0 | 2023-06-03 13:15:40.958000 | https://github.com/EarlMadSec/invis-perturbations | 8 | Invisible perturbations: Physical adversarial examples exploiting the rolling shutter effect | https://scholar.google.com/scholar?cluster=7374063426812464061&hl=en&as_sdt=0,5 | 2 | 2,021 |
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation | 55 | cvpr | 10 | 11 | 2023-06-03 13:15:41.150000 | https://github.com/chaneyddtt/UDA-Animal-Pose | 91 | From synthetic to real: Unsupervised domain adaptation for animal pose estimation | https://scholar.google.com/scholar?cluster=8687446482620476382&hl=en&as_sdt=0,47 | 5 | 2,021 |
PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency | 105 | cvpr | 30 | 5 | 2023-06-03 13:15:41.341000 | https://github.com/XuyangBai/PointDSC | 167 | Pointdsc: Robust point cloud registration using deep spatial consistency | https://scholar.google.com/scholar?cluster=16308411012723071862&hl=en&as_sdt=0,5 | 7 | 2,021 |
Wasserstein Barycenter for Multi-Source Domain Adaptation | 15 | cvpr | 5 | 0 | 2023-06-03 13:15:41.532000 | https://github.com/eddardd/WBTransport | 18 | Wasserstein barycenter for multi-source domain adaptation | https://scholar.google.com/scholar?cluster=17028916271918927829&hl=en&as_sdt=0,5 | 2 | 2,021 |
Mask Guided Matting via Progressive Refinement Network | 61 | cvpr | 41 | 24 | 2023-06-03 13:15:41.723000 | https://github.com/yucornetto/MGMatting | 263 | Mask guided matting via progressive refinement network | https://scholar.google.com/scholar?cluster=8590826732366464123&hl=en&as_sdt=0,5 | 26 | 2,021 |
Calibrated RGB-D Salient Object Detection | 121 | cvpr | 5 | 1 | 2023-06-03 13:15:41.915000 | https://github.com/jiwei0921/DCF | 28 | Calibrated RGB-D salient object detection | https://scholar.google.com/scholar?cluster=3242411088032394204&hl=en&as_sdt=0,33 | 2 | 2,021 |
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model | 11 | cvpr | 2 | 0 | 2023-06-03 13:15:42.106000 | https://github.com/julilien/PLDepth | 11 | Monocular depth estimation via listwise ranking using the plackett-luce model | https://scholar.google.com/scholar?cluster=6351741257494355738&hl=en&as_sdt=0,50 | 4 | 2,021 |
Deep Gradient Projection Networks for Pan-sharpening | 69 | cvpr | 5 | 1 | 2023-06-03 13:15:42.297000 | https://github.com/xsxjtu/GPPNN | 17 | Deep gradient projection networks for pan-sharpening | https://scholar.google.com/scholar?cluster=11529217582036454415&hl=en&as_sdt=0,14 | 2 | 2,021 |
4D Panoptic LiDAR Segmentation | 47 | cvpr | 18 | 0 | 2023-06-03 13:15:42.488000 | https://github.com/mehmetaygun/4d-pls | 122 | 4d panoptic lidar segmentation | https://scholar.google.com/scholar?cluster=17594560123506208573&hl=en&as_sdt=0,5 | 9 | 2,021 |
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking | 17 | cvpr | 4 | 1 | 2023-06-03 13:15:42.680000 | https://github.com/researchmm/NEAS | 19 | One-shot neural ensemble architecture search by diversity-guided search space shrinking | https://scholar.google.com/scholar?cluster=12076680641965090429&hl=en&as_sdt=0,33 | 2 | 2,021 |
OSTeC: One-Shot Texture Completion | 35 | cvpr | 28 | 10 | 2023-06-03 13:15:42.871000 | https://github.com/barisgecer/OSTeC | 161 | Ostec: One-shot texture completion | https://scholar.google.com/scholar?cluster=5464854048494867761&hl=en&as_sdt=0,33 | 11 | 2,021 |
TDN: Temporal Difference Networks for Efficient Action Recognition | 208 | cvpr | 54 | 5 | 2023-06-03 13:15:43.063000 | https://github.com/MCG-NJU/TDN | 343 | Tdn: Temporal difference networks for efficient action recognition | https://scholar.google.com/scholar?cluster=1977279486299235361&hl=en&as_sdt=0,23 | 10 | 2,021 |
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On | 49 | cvpr | 22 | 8 | 2023-06-03 13:15:43.256000 | https://github.com/ChongjianGE/DCTON | 97 | Disentangled cycle consistency for highly-realistic virtual try-on | https://scholar.google.com/scholar?cluster=113728232790763583&hl=en&as_sdt=0,31 | 10 | 2,021 |
Robust Representation Learning With Feedback for Single Image Deraining | 58 | cvpr | 4 | 1 | 2023-06-03 13:15:43.447000 | https://github.com/LI-Hao-SJTU/DerainRLNet | 21 | Robust representation learning with feedback for single image deraining | https://scholar.google.com/scholar?cluster=12649381605129869613&hl=en&as_sdt=0,5 | 3 | 2,021 |
Natural Adversarial Examples | 728 | cvpr | 46 | 5 | 2023-06-03 13:15:43.638000 | https://github.com/hendrycks/natural-adv-examples | 531 | Natural adversarial examples | https://scholar.google.com/scholar?cluster=1426370300375211168&hl=en&as_sdt=0,5 | 11 | 2,021 |
LiBRe: A Practical Bayesian Approach to Adversarial Detection | 26 | cvpr | 3 | 1 | 2023-06-03 13:15:43.830000 | https://github.com/thudzj/ScalableBDL | 28 | Libre: A practical bayesian approach to adversarial detection | https://scholar.google.com/scholar?cluster=1702209423642411203&hl=en&as_sdt=0,5 | 2 | 2,021 |
AdaBins: Depth Estimation Using Adaptive Bins | 377 | cvpr | 146 | 34 | 2023-06-03 13:15:44.035000 | https://github.com/shariqfarooq123/AdaBins | 602 | Adabins: Depth estimation using adaptive bins | https://scholar.google.com/scholar?cluster=11112701312974631954&hl=en&as_sdt=0,5 | 14 | 2,021 |
Mirror3D: Depth Refinement for Mirror Surfaces | 9 | cvpr | 3 | 0 | 2023-06-03 13:15:44.226000 | https://github.com/3dlg-hcvc/mirror3d | 32 | Mirror3d: Depth refinement for mirror surfaces | https://scholar.google.com/scholar?cluster=12280701474597360801&hl=en&as_sdt=0,10 | 6 | 2,021 |
ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes | 3 | cvpr | 12 | 1 | 2023-06-03 13:15:44.418000 | https://github.com/SwordHolderSH/ArtCoder | 53 | Artcoder: an end-to-end method for generating scanning-robust stylized QR codes | https://scholar.google.com/scholar?cluster=18061832072642751316&hl=en&as_sdt=0,44 | 3 | 2,021 |
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning | 270 | cvpr | 40 | 21 | 2023-06-03 13:15:44.610000 | https://github.com/zdaxie/PixPro | 307 | Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning | https://scholar.google.com/scholar?cluster=13904438580236939165&hl=en&as_sdt=0,15 | 11 | 2,021 |
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds | 36 | cvpr | 2 | 5 | 2023-06-03 13:15:44.800000 | https://github.com/ZENGYIMING-EAMON/CorrNet3D | 38 | CorrNet3D: Unsupervised end-to-end learning of dense correspondence for 3D point clouds | https://scholar.google.com/scholar?cluster=12120661589110257282&hl=en&as_sdt=0,5 | 2 | 2,021 |
Exploring Simple Siamese Representation Learning | 2,191 | cvpr | 164 | 12 | 2023-06-03 13:15:44.992000 | https://github.com/facebookresearch/simsiam | 952 | Exploring simple siamese representation learning | https://scholar.google.com/scholar?cluster=14102911635221168501&hl=en&as_sdt=0,11 | 12 | 2,021 |
Learning To Count Everything | 39 | cvpr | 53 | 7 | 2023-06-03 13:15:45.183000 | https://github.com/cvlab-stonybrook/LearningToCountEverything | 238 | Learning to count everything | https://scholar.google.com/scholar?cluster=17975781940861778585&hl=en&as_sdt=0,5 | 11 | 2,021 |
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency | 36 | cvpr | 12 | 1 | 2023-06-03 13:15:45.374000 | https://github.com/VisMIL/CAMERAS | 44 | CAMERAS: Enhanced resolution and sanity preserving class activation mapping for image saliency | https://scholar.google.com/scholar?cluster=13540735522001981759&hl=en&as_sdt=0,5 | 3 | 2,021 |
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance | 11 | cvpr | 4 | 0 | 2023-06-03 13:15:45.565000 | https://github.com/hoshino042/NormalIntegration | 28 | Normal integration via inverse plane fitting with minimum point-to-plane distance | https://scholar.google.com/scholar?cluster=7866083634746250024&hl=en&as_sdt=0,11 | 2 | 2,021 |
SSN: Soft Shadow Network for Image Compositing | 11 | cvpr | 1 | 3 | 2023-06-03 13:15:45.757000 | https://github.com/ShengCN/SSN_SoftShadowNet | 11 | SSN: Soft shadow network for image compositing | https://scholar.google.com/scholar?cluster=14557357004981423877&hl=en&as_sdt=0,41 | 3 | 2,021 |
Coarse-Fine Networks for Temporal Activity Detection in Videos | 26 | cvpr | 7 | 1 | 2023-06-03 13:15:45.949000 | https://github.com/kkahatapitiya/Coarse-Fine-Networks | 51 | Coarse-fine networks for temporal activity detection in videos | https://scholar.google.com/scholar?cluster=11401655372406151148&hl=en&as_sdt=0,14 | 2 | 2,021 |
VinVL: Revisiting Visual Representations in Vision-Language Models | 486 | cvpr | 21 | 28 | 2023-06-03 13:15:46.140000 | https://github.com/pzzhang/VinVL | 327 | Vinvl: Revisiting visual representations in vision-language models | https://scholar.google.com/scholar?cluster=1213049958817267584&hl=en&as_sdt=0,5 | 9 | 2,021 |
MongeNet: Efficient Sampler for Geometric Deep Learning | 1 | cvpr | 0 | 0 | 2023-06-03 13:15:46.331000 | https://github.com/lebrat/MongeNet | 10 | MongeNet: Efficient Sampler for Geometric Deep Learning | https://scholar.google.com/scholar?cluster=1235305287797759193&hl=en&as_sdt=0,21 | 5 | 2,021 |
SurFree: A Fast Surrogate-Free Black-Box Attack | 45 | cvpr | 7 | 4 | 2023-06-03 13:15:46.523000 | https://github.com/t-maho/SurFree | 35 | Surfree: a fast surrogate-free black-box attack | https://scholar.google.com/scholar?cluster=4516658040961875887&hl=en&as_sdt=0,19 | 2 | 2,021 |
Visualizing Adapted Knowledge in Domain Transfer | 38 | cvpr | 14 | 0 | 2023-06-03 13:15:46.714000 | https://github.com/hou-yz/DA_visualization | 85 | Visualizing adapted knowledge in domain transfer | https://scholar.google.com/scholar?cluster=8771147707141610474&hl=en&as_sdt=0,5 | 3 | 2,021 |
CondenseNet V2: Sparse Feature Reactivation for Deep Networks | 30 | cvpr | 19 | 0 | 2023-06-03 13:15:46.905000 | https://github.com/jianghaojun/CondenseNetV2 | 76 | Condensenet v2: Sparse feature reactivation for deep networks | https://scholar.google.com/scholar?cluster=13410483781005276408&hl=en&as_sdt=0,11 | 2 | 2,021 |
Robust and Accurate Object Detection via Adversarial Learning | 47 | cvpr | 1,452 | 146 | 2023-06-03 13:15:47.096000 | https://github.com/google/automl | 5,885 | Robust and accurate object detection via adversarial learning | https://scholar.google.com/scholar?cluster=8271637616216749842&hl=en&as_sdt=0,36 | 158 | 2,021 |
Beyond Image to Depth: Improving Depth Prediction Using Echoes | 28 | cvpr | 12 | 1 | 2023-06-03 13:15:47.288000 | https://github.com/krantiparida/beyond-image-to-depth | 36 | Beyond image to depth: Improving depth prediction using echoes | https://scholar.google.com/scholar?cluster=17991952600453670438&hl=en&as_sdt=0,5 | 6 | 2,021 |
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates | 9 | cvpr | 5 | 1 | 2023-06-03 13:15:47.480000 | https://github.com/Colin97/DeepMetaHandles | 75 | Deepmetahandles: Learning deformation meta-handles of 3d meshes with biharmonic coordinates | https://scholar.google.com/scholar?cluster=13848121966732049005&hl=en&as_sdt=0,5 | 6 | 2,021 |
Layout-Guided Novel View Synthesis From a Single Indoor Panorama | 8 | cvpr | 1 | 3 | 2023-06-03 13:15:47.671000 | https://github.com/bluestyle97/PNVS | 30 | Layout-guided novel view synthesis from a single indoor panorama | https://scholar.google.com/scholar?cluster=14997634611461665441&hl=en&as_sdt=0,33 | 7 | 2,021 |
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing | 24 | cvpr | 15 | 0 | 2023-06-03 13:15:47.862000 | https://github.com/xunguangwang/ProS-GAN | 37 | Prototype-supervised adversarial network for targeted attack of deep hashing | https://scholar.google.com/scholar?cluster=11194317984062930130&hl=en&as_sdt=0,47 | 1 | 2,021 |
Sequential Graph Convolutional Network for Active Learning | 58 | cvpr | 17 | 5 | 2023-06-03 13:15:48.054000 | https://github.com/razvancaramalau/Sequential-GCN-for-Active-Learning | 47 | Sequential graph convolutional network for active learning | https://scholar.google.com/scholar?cluster=4042132635090650658&hl=en&as_sdt=0,33 | 2 | 2,021 |
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection | 123 | cvpr | 26 | 3 | 2023-06-03 13:15:48.247000 | https://github.com/fjchange/MIST_VAD | 99 | Mist: Multiple instance self-training framework for video anomaly detection | https://scholar.google.com/scholar?cluster=12776159988616565203&hl=en&as_sdt=0,41 | 5 | 2,021 |
Progressive Semantic Segmentation | 44 | cvpr | 8 | 4 | 2023-06-03 13:15:48.438000 | https://github.com/VinAIResearch/MagNet | 107 | Progressive semantic segmentation | https://scholar.google.com/scholar?cluster=8312905002752442421&hl=en&as_sdt=0,31 | 6 | 2,021 |
Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression | 116 | cvpr | 76 | 32 | 2023-06-03 13:15:48.631000 | https://github.com/HRNet/DEKR | 384 | Bottom-up human pose estimation via disentangled keypoint regression | https://scholar.google.com/scholar?cluster=11348760748613165934&hl=en&as_sdt=0,50 | 13 | 2,021 |
Learning the Best Pooling Strategy for Visual Semantic Embedding | 107 | cvpr | 16 | 1 | 2023-06-03 13:15:48.824000 | https://github.com/woodfrog/vse_infty | 127 | Learning the best pooling strategy for visual semantic embedding | https://scholar.google.com/scholar?cluster=9446201351656979528&hl=en&as_sdt=0,47 | 4 | 2,021 |
Deep Two-View Structure-From-Motion Revisited | 24 | cvpr | 10 | 6 | 2023-06-03 13:15:49.040000 | https://github.com/jytime/Deep-SfM-Revisited | 153 | Deep two-view structure-from-motion revisited | https://scholar.google.com/scholar?cluster=677162948445926784&hl=en&as_sdt=0,47 | 9 | 2,021 |
CoMoGAN: Continuous Model-Guided Image-to-Image Translation | 26 | cvpr | 13 | 2 | 2023-06-03 13:15:49.231000 | https://github.com/cv-rits/CoMoGAN | 171 | CoMoGAN: continuous model-guided image-to-image translation | https://scholar.google.com/scholar?cluster=7891088022641417036&hl=en&as_sdt=0,5 | 8 | 2,021 |
Regressive Domain Adaptation for Unsupervised Keypoint Detection | 32 | cvpr | 0 | 0 | 2023-06-03 13:15:49.422000 | https://github.com/thuml/Regressive-Domain-Adaptation-for-Unsupervised-Keypoint-Detection | 3 | Regressive domain adaptation for unsupervised keypoint detection | https://scholar.google.com/scholar?cluster=6049330673110118719&hl=en&as_sdt=0,5 | 4 | 2,021 |
LASR: Learning Articulated Shape Reconstruction From a Monocular Video | 56 | cvpr | 21 | 7 | 2023-06-03 13:15:49.614000 | https://github.com/google/lasr | 161 | Lasr: Learning articulated shape reconstruction from a monocular video | https://scholar.google.com/scholar?cluster=11712030734106144818&hl=en&as_sdt=0,3 | 10 | 2,021 |
Self-Supervised Video Hashing via Bidirectional Transformers | 19 | cvpr | 6 | 0 | 2023-06-03 13:15:49.805000 | https://github.com/Lily1994/BTH | 28 | Self-supervised video hashing via bidirectional transformers | https://scholar.google.com/scholar?cluster=767073233350909973&hl=en&as_sdt=0,38 | 1 | 2,021 |
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding | 40 | cvpr | 19 | 7 | 2023-06-03 13:15:49.998000 | https://github.com/Gorilla-Lab-SCUT/AffordanceNet | 53 | 3d affordancenet: A benchmark for visual object affordance understanding | https://scholar.google.com/scholar?cluster=18000757458595963631&hl=en&as_sdt=0,5 | 6 | 2,021 |
Safe Local Motion Planning With Self-Supervised Freespace Forecasting | 16 | cvpr | 15 | 4 | 2023-06-03 13:15:50.190000 | https://github.com/peiyunh/ff | 95 | Safe local motion planning with self-supervised freespace forecasting | https://scholar.google.com/scholar?cluster=13817545767696206441&hl=en&as_sdt=0,14 | 4 | 2,021 |
Deep Implicit Templates for 3D Shape Representation | 68 | cvpr | 18 | 4 | 2023-06-03 13:15:50.381000 | https://github.com/ZhengZerong/DeepImplicitTemplates | 148 | Deep implicit templates for 3d shape representation | https://scholar.google.com/scholar?cluster=17287580575195685138&hl=en&as_sdt=0,15 | 14 | 2,021 |
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration | 48 | cvpr | 60 | 8 | 2023-06-03 13:15:50.573000 | https://github.com/SeanChenxy/HandMesh | 278 | Camera-space hand mesh recovery via semantic aggregation and adaptive 2d-1d registration | https://scholar.google.com/scholar?cluster=6668605664947680509&hl=en&as_sdt=0,39 | 10 | 2,021 |
Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision | 320 | cvpr | 66 | 17 | 2023-06-03 13:15:50.775000 | https://github.com/charlesCXK/TorchSemiSeg | 425 | Semi-supervised semantic segmentation with cross pseudo supervision | https://scholar.google.com/scholar?cluster=10749248141312892990&hl=en&as_sdt=0,5 | 7 | 2,021 |
Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? | 19 | cvpr | 1 | 0 | 2023-06-03 13:15:50.967000 | https://github.com/YapengTian/AV-Robustness-CVPR21 | 22 | Can audio-visual integration strengthen robustness under multimodal attacks? | https://scholar.google.com/scholar?cluster=5649193960055691180&hl=en&as_sdt=0,14 | 3 | 2,021 |
Deep Lucas-Kanade Homography for Multimodal Image Alignment | 21 | cvpr | 25 | 1 | 2023-06-03 13:15:51.159000 | https://github.com/placeforyiming/CVPR21-Deep-Lucas-Kanade-Homography | 95 | Deep lucas-kanade homography for multimodal image alignment | https://scholar.google.com/scholar?cluster=2059111033949296544&hl=en&as_sdt=0,45 | 2 | 2,021 |
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition | 10 | cvpr | 17 | 2 | 2023-06-03 13:15:51.351000 | https://github.com/hjwdzh/DeepLM | 149 | Deeplm: Large-scale nonlinear least squares on deep learning frameworks using stochastic domain decomposition | https://scholar.google.com/scholar?cluster=12633562592566231920&hl=en&as_sdt=0,33 | 8 | 2,021 |
Subsets and Splits