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Learn to Recover Visible Color for Video Surveillance in a Day | 6 | eccv | 2 | 3 | 2023-06-17 00:17:49.344000 | https://github.com/huster-wgm/VSIAD | 11 | Learn to recover visible color for video surveillance in a day | https://scholar.google.com/scholar?cluster=6478617608883726542&hl=en&as_sdt=0,5 | 2 | 2,020 |
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation | 67 | eccv | 5 | 4 | 2023-06-17 00:17:49.556000 | https://github.com/zdaxie/SpatiallyAdaptiveInference-Detection | 59 | Spatially adaptive inference with stochastic feature sampling and interpolation | https://scholar.google.com/scholar?cluster=4445767428870928092&hl=en&as_sdt=0,5 | 4 | 2,020 |
BorderDet: Border Feature for Dense Object Detection | 117 | eccv | 66 | 6 | 2023-06-17 00:17:49.768000 | https://github.com/Megvii-BaseDetection/BorderDet | 432 | Borderdet: Border feature for dense object detection | https://scholar.google.com/scholar?cluster=1318874163147907809&hl=en&as_sdt=0,5 | 19 | 2,020 |
Regularization with Latent Space Virtual Adversarial Training | 9 | eccv | 0 | 0 | 2023-06-17 00:17:49.979000 | https://github.com/geosada/LVAT | 14 | Regularization with latent space virtual adversarial training | https://scholar.google.com/scholar?cluster=14570002296313298357&hl=en&as_sdt=0,5 | 1 | 2,020 |
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning | 79 | eccv | 1 | 1 | 2023-06-17 00:17:50.190000 | https://github.com/jaekyeom/mabas | 15 | Model-agnostic boundary-adversarial sampling for test-time generalization in few-shot learning | https://scholar.google.com/scholar?cluster=6721525993252660695&hl=en&as_sdt=0,5 | 1 | 2,020 |
Targeted Attack for Deep Hashing based Retrieval | 58 | eccv | 5 | 0 | 2023-06-17 00:17:50.403000 | https://github.com/jiawangbai/DHTA-master | 26 | Targeted attack for deep hashing based retrieval | https://scholar.google.com/scholar?cluster=10440819536070326203&hl=en&as_sdt=0,33 | 3 | 2,020 |
Gradient Centralization: A New Optimization Technique for Deep Neural Networks | 137 | eccv | 79 | 6 | 2023-06-17 00:17:50.614000 | https://github.com/Yonghongwei/Gradient-Centralization | 525 | Gradient centralization: A new optimization technique for deep neural networks | https://scholar.google.com/scholar?cluster=16809113917737467953&hl=en&as_sdt=0,33 | 17 | 2,020 |
Content-Aware Unsupervised Deep Homography Estimation | 108 | eccv | 55 | 28 | 2023-06-17 00:17:50.827000 | https://github.com/JirongZhang/DeepHomography | 276 | Content-aware unsupervised deep homography estimation | https://scholar.google.com/scholar?cluster=3888444801202062317&hl=en&as_sdt=0,49 | 25 | 2,020 |
Multi-View Optimization of Local Feature Geometry | 25 | eccv | 25 | 3 | 2023-06-17 00:17:51.039000 | https://github.com/mihaidusmanu/local-feature-refinement | 206 | Multi-view optimization of local feature geometry | https://scholar.google.com/scholar?cluster=17323119786165831654&hl=en&as_sdt=0,44 | 12 | 2,020 |
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video | 69 | eccv | 10 | 1 | 2023-06-17 00:17:51.252000 | https://github.com/2020aptx4869lm/Forecasting-Human-Object-Interaction-in-FPV | 23 | Forecasting human-object interaction: joint prediction of motor attention and actions in first person video | https://scholar.google.com/scholar?cluster=227263367744579299&hl=en&as_sdt=0,5 | 1 | 2,020 |
Learning Stereo from Single Images | 41 | eccv | 50 | 0 | 2023-06-17 00:17:51.464000 | https://github.com/nianticlabs/stereo-from-mono | 350 | Learning stereo from single images | https://scholar.google.com/scholar?cluster=11349409566203411981&hl=en&as_sdt=0,33 | 33 | 2,020 |
Suppress and Balance: A Simple Gated Network for Salient Object Detection | 293 | eccv | 15 | 2 | 2023-06-17 00:17:51.675000 | https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency | 146 | Suppress and balance: A simple gated network for salient object detection | https://scholar.google.com/scholar?cluster=9212536462000789632&hl=en&as_sdt=0,21 | 11 | 2,020 |
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning | 21 | eccv | 7 | 1 | 2023-06-17 00:17:51.887000 | https://github.com/wang-chen/interestingness | 38 | Visual memorability for robotic interestingness via unsupervised online learning | https://scholar.google.com/scholar?cluster=36662884533233602&hl=en&as_sdt=0,33 | 4 | 2,020 |
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification | 178 | eccv | 17 | 5 | 2023-06-17 00:17:52.099000 | https://github.com/NVlabs/DG-Net-PP | 79 | Joint disentangling and adaptation for cross-domain person re-identification | https://scholar.google.com/scholar?cluster=4098355156118946376&hl=en&as_sdt=0,5 | 8 | 2,020 |
Multitask Learning Strengthens Adversarial Robustness | 65 | eccv | 3 | 1 | 2023-06-17 00:17:52.319000 | https://github.com/columbia/MTRobust | 17 | Multitask learning strengthens adversarial robustness | https://scholar.google.com/scholar?cluster=1210185653037489148&hl=en&as_sdt=0,44 | 10 | 2,020 |
Motion Capture from Internet Videos | 40 | eccv | 10 | 4 | 2023-06-17 00:17:52.546000 | https://github.com/zju3dv/iMoCap | 100 | Motion capture from internet videos | https://scholar.google.com/scholar?cluster=15847497864374083611&hl=en&as_sdt=0,33 | 25 | 2,020 |
Appearance-Preserving 3D Convolution for Video-based Person Re-identification | 91 | eccv | 24 | 0 | 2023-06-17 00:17:52.758000 | https://github.com/guxinqian/AP3D | 91 | Appearance-preserving 3d convolution for video-based person re-identification | https://scholar.google.com/scholar?cluster=13337642614867304745&hl=en&as_sdt=0,33 | 3 | 2,020 |
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization | 38 | eccv | 15 | 0 | 2023-06-17 00:17:52.970000 | https://github.com/dylan-campbell/bpnpnet | 56 | Solving the blind perspective-n-point problem end-to-end with robust differentiable geometric optimization | https://scholar.google.com/scholar?cluster=12394133310408441935&hl=en&as_sdt=0,5 | 4 | 2,020 |
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation | 218 | eccv | 63 | 4 | 2023-06-17 00:17:53.183000 | https://github.com/XingangPan/deep-generative-prior | 447 | Exploiting deep generative prior for versatile image restoration and manipulation | https://scholar.google.com/scholar?cluster=14389153301568786365&hl=en&as_sdt=0,5 | 13 | 2,020 |
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures | 18 | eccv | 1 | 0 | 2023-06-17 00:17:53.394000 | https://github.com/angmt2008/LFCA | 6 | Deep spatial-angular regularization for compressive light field reconstruction over coded apertures | https://scholar.google.com/scholar?cluster=1290728802438016137&hl=en&as_sdt=0,5 | 1 | 2,020 |
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling | 89 | eccv | 21 | 9 | 2023-06-17 00:17:53.610000 | https://github.com/nxsEdson/CVD-Physiological-Measurement | 83 | Video-based remote physiological measurement via cross-verified feature disentangling | https://scholar.google.com/scholar?cluster=10432194192196602071&hl=en&as_sdt=0,5 | 11 | 2,020 |
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network | 70 | eccv | 3 | 3 | 2023-06-17 00:17:53.825000 | https://github.com/tsaishien-chen/SPAN | 22 | Orientation-aware vehicle re-identification with semantics-guided part attention network | https://scholar.google.com/scholar?cluster=17106221795006748010&hl=en&as_sdt=0,21 | 2 | 2,020 |
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation | 229 | eccv | 15 | 5 | 2023-06-17 00:17:54.037000 | https://github.com/GuoleiSun/MCIS_wsss | 151 | Mining cross-image semantics for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=1803466270479184475&hl=en&as_sdt=0,5 | 17 | 2,020 |
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image | 40 | eccv | 10 | 2 | 2023-06-17 00:17:54.248000 | https://github.com/google-research/corenet | 87 | Corenet: Coherent 3d scene reconstruction from a single rgb image | https://scholar.google.com/scholar?cluster=385603289457372690&hl=en&as_sdt=0,22 | 9 | 2,020 |
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow | 1,128 | eccv | 545 | 59 | 2023-06-17 00:17:54.460000 | https://github.com/princeton-vl/RAFT | 2,497 | Raft: Recurrent all-pairs field transforms for optical flow | https://scholar.google.com/scholar?cluster=4922601694276634409&hl=en&as_sdt=0,47 | 39 | 2,020 |
Domain-invariant Stereo Matching Networks | 112 | eccv | 29 | 14 | 2023-06-17 00:17:54.674000 | https://github.com/feihuzhang/DSMNet | 211 | Domain-invariant stereo matching networks | https://scholar.google.com/scholar?cluster=5852498635419711510&hl=en&as_sdt=0,33 | 13 | 2,020 |
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling | 49 | eccv | 13 | 4 | 2023-06-17 00:17:54.886000 | https://github.com/facebookresearch/DeepHandMesh | 88 | Deephandmesh: A weakly-supervised deep encoder-decoder framework for high-fidelity hand mesh modeling | https://scholar.google.com/scholar?cluster=10255907958365810717&hl=en&as_sdt=0,36 | 9 | 2,020 |
GDumb: A Simple Approach that Questions Our Progress in Continual Learning | 309 | eccv | 8 | 1 | 2023-06-17 00:17:55.098000 | https://github.com/drimpossible/GDumb | 87 | Gdumb: A simple approach that questions our progress in continual learning | https://scholar.google.com/scholar?cluster=4950901170042935517&hl=en&as_sdt=0,5 | 1 | 2,020 |
Learning Lane Graph Representations for Motion Forecasting | 268 | eccv | 122 | 17 | 2023-06-17 00:17:55.314000 | https://github.com/uber-research/LaneGCN | 403 | Learning lane graph representations for motion forecasting | https://scholar.google.com/scholar?cluster=68615350220075469&hl=en&as_sdt=0,34 | 10 | 2,020 |
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters | 26 | eccv | 4 | 6 | 2023-06-17 00:17:55.529000 | https://github.com/hyliang96/CSGCNN | 24 | Training interpretable convolutional neural networks by differentiating class-specific filters | https://scholar.google.com/scholar?cluster=4019505950868378842&hl=en&as_sdt=0,5 | 3 | 2,020 |
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning | 137 | eccv | 67 | 19 | 2023-06-17 00:17:55.740000 | https://github.com/anonymous47823493/EagleEye | 293 | Eagleeye: Fast sub-net evaluation for efficient neural network pruning | https://scholar.google.com/scholar?cluster=10271877345232340901&hl=en&as_sdt=0,21 | 12 | 2,020 |
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation | 10 | eccv | 4 | 0 | 2023-06-17 00:17:55.952000 | https://github.com/mrakotosaon/intrinsic_interpolations | 14 | Intrinsic point cloud interpolation via dual latent space navigation | https://scholar.google.com/scholar?cluster=17530580146417788501&hl=en&as_sdt=0,5 | 3 | 2,020 |
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment | 16 | eccv | 1 | 2 | 2023-06-17 00:17:56.164000 | https://github.com/kzmttr/UMDFA | 8 | “Look Ma, no landmarks!”–Unsupervised, model-based dense face alignment | https://scholar.google.com/scholar?cluster=18052363214420622280&hl=en&as_sdt=0,5 | 2 | 2,020 |
Online Invariance Selection for Local Feature Descriptors | 52 | eccv | 19 | 2 | 2023-06-17 00:17:56.379000 | https://github.com/rpautrat/LISRD | 237 | Online invariance selection for local feature descriptors | https://scholar.google.com/scholar?cluster=16324041681453692222&hl=en&as_sdt=0,33 | 9 | 2,020 |
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations | 210 | eccv | 52 | 28 | 2023-06-17 00:17:56.590000 | https://github.com/KumapowerLIU/Rethinking-Inpainting-MEDFE | 355 | Rethinking image inpainting via a mutual encoder-decoder with feature equalizations | https://scholar.google.com/scholar?cluster=18129183330952721488&hl=en&as_sdt=0,33 | 16 | 2,020 |
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction | 250 | eccv | 73 | 18 | 2023-06-17 00:17:56.801000 | https://github.com/HarshayuGirase/PECNet | 263 | It is not the journey but the destination: Endpoint conditioned trajectory prediction | https://scholar.google.com/scholar?cluster=14869553753645055346&hl=en&as_sdt=0,47 | 11 | 2,020 |
Learning What to Learn for Video Object Segmentation | 111 | eccv | 578 | 56 | 2023-06-17 00:17:57.013000 | https://github.com/visionml/pytracking | 2,795 | Learning what to learn for video object segmentation | https://scholar.google.com/scholar?cluster=11592531918456989368&hl=en&as_sdt=0,5 | 90 | 2,020 |
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing | 72 | eccv | 13 | 3 | 2023-06-17 00:17:57.225000 | https://github.com/garvita-tiwari/sizer | 81 | Sizer: A dataset and model for parsing 3d clothing and learning size sensitive 3d clothing | https://scholar.google.com/scholar?cluster=7651647498190000321&hl=en&as_sdt=0,3 | 6 | 2,020 |
Learning to Localize Actions from Moments | 12 | eccv | 2 | 1 | 2023-06-17 00:17:57.436000 | https://github.com/FuchenUSTC/AherNet | 16 | Learning to localize actions from moments | https://scholar.google.com/scholar?cluster=2292806304006132873&hl=en&as_sdt=0,33 | 2 | 2,020 |
TSIT: A Simple and Versatile Framework for Image-to-Image Translation | 73 | eccv | 32 | 4 | 2023-06-17 00:17:57.648000 | https://github.com/EndlessSora/TSIT | 262 | Tsit: A simple and versatile framework for image-to-image translation | https://scholar.google.com/scholar?cluster=6228459104800637542&hl=en&as_sdt=0,22 | 22 | 2,020 |
A Unified Framework of Surrogate Loss by Refactoring and Interpolation | 12 | eccv | 0 | 0 | 2023-06-17 00:17:57.859000 | https://github.com/princeton-vl/uniloss | 8 | A unified framework of surrogate loss by refactoring and interpolation | https://scholar.google.com/scholar?cluster=7491574393262633303&hl=en&as_sdt=0,10 | 6 | 2,020 |
Memory-augmented Dense Predictive Coding for Video Representation Learning | 208 | eccv | 23 | 1 | 2023-06-17 00:17:58.071000 | https://github.com/TengdaHan/MemDPC | 163 | Memory-augmented dense predictive coding for video representation learning | https://scholar.google.com/scholar?cluster=13182085823541601706&hl=en&as_sdt=0,5 | 6 | 2,020 |
PointMixup: Augmentation for Point Clouds | 101 | eccv | 9 | 8 | 2023-06-17 00:17:58.284000 | https://github.com/yunlu-chen/PointMixup | 88 | Pointmixup: Augmentation for point clouds | https://scholar.google.com/scholar?cluster=16304425416174390270&hl=en&as_sdt=0,44 | 8 | 2,020 |
Identity-Guided Human Semantic Parsing for Person Re-Identification | 186 | eccv | 16 | 1 | 2023-06-17 00:17:58.503000 | https://github.com/CASIA-IVA-Lab/ISP-reID | 82 | Identity-guided human semantic parsing for person re-identification | https://scholar.google.com/scholar?cluster=8107604897256612639&hl=en&as_sdt=0,33 | 4 | 2,020 |
Learning Gradient Fields for Shape Generation | 140 | eccv | 33 | 2 | 2023-06-17 00:17:58.715000 | https://github.com/RuojinCai/ShapeGF | 173 | Learning gradient fields for shape generation | https://scholar.google.com/scholar?cluster=7047622093404369098&hl=en&as_sdt=0,5 | 7 | 2,020 |
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder | 60 | eccv | 431 | 47 | 2023-06-17 00:17:58.926000 | https://github.com/nvlabs/imaginaire | 3,776 | Coco-funit: Few-shot unsupervised image translation with a content conditioned style encoder | https://scholar.google.com/scholar?cluster=1749322342302697628&hl=en&as_sdt=0,5 | 111 | 2,020 |
Corner Proposal Network for Anchor-free, Two-stage Object Detection | 83 | eccv | 24 | 13 | 2023-06-17 00:17:59.137000 | https://github.com/Duankaiwen/CPNDet | 190 | Corner proposal network for anchor-free, two-stage object detection | https://scholar.google.com/scholar?cluster=13568718297544497544&hl=en&as_sdt=0,5 | 19 | 2,020 |
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing | 92 | eccv | 19 | 3 | 2023-06-17 00:17:59.348000 | https://github.com/YapengTian/AVVP-ECCV20 | 62 | Unified multisensory perception: Weakly-supervised audio-visual video parsing | https://scholar.google.com/scholar?cluster=1790969886249366260&hl=en&as_sdt=0,21 | 6 | 2,020 |
Learning Delicate Local Representations for Multi-Person Pose Estimation | 118 | eccv | 79 | 22 | 2023-06-17 00:17:59.559000 | https://github.com/caiyuanhao1998/RSN | 454 | Learning delicate local representations for multi-person pose estimation | https://scholar.google.com/scholar?cluster=17901896041453960317&hl=en&as_sdt=0,5 | 15 | 2,020 |
Convolutional Occupancy Networks | 537 | eccv | 101 | 8 | 2023-06-17 00:17:59.770000 | https://github.com/autonomousvision/convolutional_occupancy_networks | 707 | Convolutional occupancy networks | https://scholar.google.com/scholar?cluster=12790840199166322014&hl=en&as_sdt=0,31 | 24 | 2,020 |
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry | 35 | eccv | 5 | 5 | 2023-06-17 00:17:59.981000 | https://github.com/HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG | 43 | Multi-person 3d pose estimation in crowded scenes based on multi-view geometry | https://scholar.google.com/scholar?cluster=8080096260443565054&hl=en&as_sdt=0,31 | 13 | 2,020 |
TIDE: A General Toolbox for Identifying Object Detection Errors | 99 | eccv | 108 | 31 | 2023-06-17 00:18:00.193000 | https://github.com/dbolya/tide | 642 | Tide: A general toolbox for identifying object detection errors | https://scholar.google.com/scholar?cluster=3544704127592613171&hl=en&as_sdt=0,31 | 16 | 2,020 |
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding | 331 | eccv | 34 | 19 | 2023-06-17 00:18:00.404000 | https://github.com/facebookresearch/PointContrast | 300 | Pointcontrast: Unsupervised pre-training for 3d point cloud understanding | https://scholar.google.com/scholar?cluster=15181171144501826129&hl=en&as_sdt=0,44 | 13 | 2,020 |
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving | 219 | eccv | 82 | 48 | 2023-06-17 00:18:00.617000 | https://github.com/Banconxuan/RTM3D | 423 | Rtm3d: Real-time monocular 3d detection from object keypoints for autonomous driving | https://scholar.google.com/scholar?cluster=732104654465203720&hl=en&as_sdt=0,33 | 46 | 2,020 |
Video Object Segmentation with Episodic Graph Memory Networks | 207 | eccv | 8 | 9 | 2023-06-17 00:18:00.828000 | https://github.com/carrierlxk/GraphMemVOS | 92 | Video object segmentation with episodic graph memory networks | https://scholar.google.com/scholar?cluster=2295523921146535547&hl=en&as_sdt=0,44 | 13 | 2,020 |
Contrastive Learning for Weakly Supervised Phrase Grounding | 88 | eccv | 16 | 6 | 2023-06-17 00:18:01.043000 | https://github.com/BigRedT/info-ground | 68 | Contrastive learning for weakly supervised phrase grounding | https://scholar.google.com/scholar?cluster=12213524588688919788&hl=en&as_sdt=0,5 | 4 | 2,020 |
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images | 111 | eccv | 16 | 12 | 2023-06-17 00:18:01.254000 | https://github.com/linjx-ustc1106/TuiGAN-PyTorch | 184 | Tuigan: Learning versatile image-to-image translation with two unpaired images | https://scholar.google.com/scholar?cluster=15312911022874818284&hl=en&as_sdt=0,33 | 6 | 2,020 |
Semi-Siamese Training for Shallow Face Learning | 25 | eccv | 9 | 3 | 2023-06-17 00:18:01.466000 | https://github.com/dituu/Semi-Siamese-Training | 38 | Semi-siamese training for shallow face learning | https://scholar.google.com/scholar?cluster=10441538273877830731&hl=en&as_sdt=0,1 | 1 | 2,020 |
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework | 58 | eccv | 24 | 6 | 2023-06-17 00:18:01.677000 | https://github.com/TAMU-VITA/GAN-Slimming | 106 | Gan slimming: All-in-one gan compression by a unified optimization framework | https://scholar.google.com/scholar?cluster=3933920459494244581&hl=en&as_sdt=0,10 | 14 | 2,020 |
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation | 518 | eccv | 156 | 30 | 2023-06-17 00:18:01.889000 | https://github.com/google-research/deeplab2 | 906 | Axial-deeplab: Stand-alone axial-attention for panoptic segmentation | https://scholar.google.com/scholar?cluster=1046882767001529262&hl=en&as_sdt=0,49 | 23 | 2,020 |
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking | 243 | eccv | 47 | 24 | 2023-06-17 00:18:02.101000 | https://github.com/pjl1995/CTracker | 245 | Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking | https://scholar.google.com/scholar?cluster=14989052962975314118&hl=en&as_sdt=0,44 | 15 | 2,020 |
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets | 142 | eccv | 42 | 6 | 2023-06-17 00:18:02.312000 | https://github.com/wutong16/DistributionBalancedLoss | 327 | Distribution-balanced loss for multi-label classification in long-tailed datasets | https://scholar.google.com/scholar?cluster=13527314869380191777&hl=en&as_sdt=0,11 | 9 | 2,020 |
Surface Normal Estimation of Tilted Images via Spatial Rectifier | 24 | eccv | 5 | 0 | 2023-06-17 00:18:02.523000 | https://github.com/MARSLab-UMN/TiltedImageSurfaceNormal | 26 | Surface Normal Estimation of Tilted Images via Spatial Rectifier | https://scholar.google.com/scholar?cluster=16013808941221840450&hl=en&as_sdt=0,10 | 6 | 2,020 |
Multimodal Shape Completion via Conditional Generative Adversarial Networks | 52 | eccv | 10 | 2 | 2023-06-17 00:18:02.734000 | https://github.com/ChrisWu1997/Multimodal-Shape-Completion | 87 | Multimodal shape completion via conditional generative adversarial networks | https://scholar.google.com/scholar?cluster=5251804413160075616&hl=en&as_sdt=0,5 | 4 | 2,020 |
Generative Sparse Detection Networks for 3D Single-shot Object Detection | 57 | eccv | 5 | 1 | 2023-06-17 00:18:02.946000 | https://github.com/jgwak/GSDN | 33 | Generative sparse detection networks for 3d single-shot object detection | https://scholar.google.com/scholar?cluster=6320925240225729320&hl=en&as_sdt=0,43 | 7 | 2,020 |
Unpaired Learning of Deep Image Denoising | 74 | eccv | 11 | 7 | 2023-06-17 00:18:03.156000 | https://github.com/XHWXD/DBSN | 123 | Unpaired learning of deep image denoising | https://scholar.google.com/scholar?cluster=5229685355061248122&hl=en&as_sdt=0,5 | 5 | 2,020 |
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization | 83 | eccv | 44 | 20 | 2023-06-17 00:18:03.367000 | https://github.com/yxgeee/SFRS | 235 | Self-supervising fine-grained region similarities for large-scale image localization | https://scholar.google.com/scholar?cluster=1058701415174194881&hl=en&as_sdt=0,5 | 9 | 2,020 |
Side-Aware Boundary Localization for More Precise Object Detection | 98 | eccv | 8,712 | 845 | 2023-06-17 00:18:03.580000 | https://github.com/open-mmlab/mmdetection | 24,607 | Side-aware boundary localization for more precise object detection | https://scholar.google.com/scholar?cluster=5772535238998777627&hl=en&as_sdt=0,49 | 372 | 2,020 |
SF-Net: Single-Frame Supervision for Temporal Action Localization | 102 | eccv | 9 | 3 | 2023-06-17 00:18:03.791000 | https://github.com/Flowerfan/SF-Net | 69 | Sf-net: Single-frame supervision for temporal action localization | https://scholar.google.com/scholar?cluster=3928205527032749715&hl=en&as_sdt=0,10 | 3 | 2,020 |
Negative Margin Matters: Understanding Margin in Few-shot Classification | 231 | eccv | 17 | 1 | 2023-06-17 00:18:04.002000 | https://github.com/bl0/negative-margin.few-shot | 139 | Negative margin matters: Understanding margin in few-shot classification | https://scholar.google.com/scholar?cluster=8028630105979977197&hl=en&as_sdt=0,5 | 10 | 2,020 |
Tracking Objects as Points | 715 | eccv | 514 | 191 | 2023-06-17 00:18:04.215000 | https://github.com/xingyizhou/CenterTrack | 2,231 | Tracking objects as points | https://scholar.google.com/scholar?cluster=1564404986299438483&hl=en&as_sdt=0,10 | 53 | 2,020 |
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning | 138 | eccv | 100 | 17 | 2023-06-17 00:18:04.426000 | https://github.com/SimonVandenhende/Multi-Task-Learning-PyTorch | 628 | Mti-net: Multi-scale task interaction networks for multi-task learning | https://scholar.google.com/scholar?cluster=6510109055568028495&hl=en&as_sdt=0,33 | 16 | 2,020 |
GRAB: A Dataset of Whole-Body Human Grasping of Objects | 153 | eccv | 20 | 3 | 2023-06-17 00:18:04.637000 | https://github.com/otaheri/GRAB | 173 | GRAB: A dataset of whole-body human grasping of objects | https://scholar.google.com/scholar?cluster=2290117580249334673&hl=en&as_sdt=0,5 | 12 | 2,020 |
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images | 16 | eccv | 8 | 1 | 2023-06-17 00:18:04.847000 | https://github.com/kirumang/NOL | 30 | Neural object learning for 6d pose estimation using a few cluttered images | https://scholar.google.com/scholar?cluster=6679762187196417030&hl=en&as_sdt=0,5 | 4 | 2,020 |
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking | 90 | eccv | 9 | 5 | 2023-06-17 00:18:05.059000 | https://github.com/yhw-yhw/D2HC-RMVSNet | 108 | Dense hybrid recurrent multi-view stereo net with dynamic consistency checking | https://scholar.google.com/scholar?cluster=11593766892811419595&hl=en&as_sdt=0,15 | 10 | 2,020 |
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization | 64 | eccv | 17 | 0 | 2023-06-17 00:18:05.270000 | https://github.com/JuanDuGit/DH3D | 144 | Dh3d: Deep hierarchical 3d descriptors for robust large-scale 6dof relocalization | https://scholar.google.com/scholar?cluster=16560386436692517722&hl=en&as_sdt=0,47 | 7 | 2,020 |
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation | 65 | eccv | 3 | 0 | 2023-06-17 00:18:05.497000 | https://github.com/YBZh/Label-Propagation-with-Augmented-Anchors | 20 | Label propagation with augmented anchors: A simple semi-supervised learning baseline for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=14734391019450578035&hl=en&as_sdt=0,36 | 4 | 2,020 |
Are Labels Necessary for Neural Architecture Search? | 73 | eccv | 15 | 3 | 2023-06-17 00:18:05.709000 | https://github.com/facebookresearch/unnas | 92 | Are labels necessary for neural architecture search? | https://scholar.google.com/scholar?cluster=7756621635676011996&hl=en&as_sdt=0,41 | 11 | 2,020 |
View-Invariant Probabilistic Embedding for Human Pose | 62 | eccv | 7,322 | 1,026 | 2023-06-17 00:18:05.920000 | https://github.com/google-research/google-research | 29,788 | View-invariant probabilistic embedding for human pose | https://scholar.google.com/scholar?cluster=7784472457768654919&hl=en&as_sdt=0,39 | 727 | 2,020 |
Contact and Human Dynamics from Monocular Video | 56 | eccv | 38 | 11 | 2023-06-17 00:18:06.131000 | https://github.com/davrempe/contact-human-dynamics | 226 | Contact and human dynamics from monocular video | https://scholar.google.com/scholar?cluster=5354853544269994035&hl=en&as_sdt=0,5 | 7 | 2,020 |
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation | 90 | eccv | 20 | 3 | 2023-06-17 00:18:06.343000 | https://github.com/DylanWusee/PointPWC | 126 | Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation | https://scholar.google.com/scholar?cluster=9242854520678800803&hl=en&as_sdt=0,5 | 4 | 2,020 |
Few-Shot Scene-Adaptive Anomaly Detection | 94 | eccv | 20 | 10 | 2023-06-17 00:18:06.555000 | https://github.com/yiweilu3/Few-shot-Scene-adaptive-Anomaly-Detection | 64 | Few-shot scene-adaptive anomaly detection | https://scholar.google.com/scholar?cluster=7604484229597483619&hl=en&as_sdt=0,33 | 8 | 2,020 |
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments | 142 | eccv | 40 | 13 | 2023-06-17 00:18:06.766000 | https://github.com/clobotics/piou | 184 | Piou loss: Towards accurate oriented object detection in complex environments | https://scholar.google.com/scholar?cluster=12353159982052869953&hl=en&as_sdt=0,32 | 6 | 2,020 |
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification | 168 | eccv | 5 | 2 | 2023-06-17 00:18:06.977000 | https://github.com/xiangly55/LFME | 29 | Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification | https://scholar.google.com/scholar?cluster=10072224309423455263&hl=en&as_sdt=0,10 | 0 | 2,020 |
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image | 18 | eccv | 6 | 4 | 2023-06-17 00:18:07.188000 | https://github.com/zhangzjn/DTVNet | 57 | Dtvnet: Dynamic time-lapse video generation via single still image | https://scholar.google.com/scholar?cluster=8543456608729588740&hl=en&as_sdt=0,48 | 6 | 2,020 |
Collaborative Video Object Segmentation by Foreground-Background Integration | 175 | eccv | 43 | 0 | 2023-06-17 00:18:07.400000 | https://github.com/z-x-yang/CFBI | 316 | Collaborative video object segmentation by foreground-background integration | https://scholar.google.com/scholar?cluster=7748785869028179006&hl=en&as_sdt=0,5 | 20 | 2,020 |
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation | 133 | eccv | 29 | 9 | 2023-06-17 00:18:07.621000 | https://github.com/xucong-zhang/ETH-XGaze | 148 | Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation | https://scholar.google.com/scholar?cluster=6143408045800102066&hl=en&as_sdt=0,5 | 4 | 2,020 |
Occupancy Anticipation for Efficient Exploration and Navigation | 108 | eccv | 27 | 6 | 2023-06-17 00:18:07.832000 | https://github.com/facebookresearch/OccupancyAnticipation | 69 | Occupancy anticipation for efficient exploration and navigation | https://scholar.google.com/scholar?cluster=713069138791923725&hl=en&as_sdt=0,33 | 6 | 2,020 |
Unified Image and Video Saliency Modeling | 104 | eccv | 33 | 1 | 2023-06-17 00:18:08.044000 | https://github.com/rdroste/unisal | 109 | Unified image and video saliency modeling | https://scholar.google.com/scholar?cluster=2324985920032308354&hl=en&as_sdt=0,34 | 7 | 2,020 |
A Generalization of Otsu’s Method and Minimum Error Thresholding | 17 | eccv | 12 | 1 | 2023-06-17 00:18:08.255000 | https://github.com/jonbarron/hist_thresh | 93 | A generalization of Otsu's method and minimum error thresholding | https://scholar.google.com/scholar?cluster=17503498248549422833&hl=en&as_sdt=0,15 | 7 | 2,020 |
Big Transfer (BiT): General Visual Representation Learning | 856 | eccv | 174 | 42 | 2023-06-17 00:18:08.467000 | https://github.com/google-research/big_transfer | 1,433 | Big transfer (bit): General visual representation learning | https://scholar.google.com/scholar?cluster=17091430629023814864&hl=en&as_sdt=0,14 | 43 | 2,020 |
Learning Visual Context by Comparison | 757 | eccv | 5 | 4 | 2023-06-17 00:18:08.678000 | https://github.com/mk-minchul/attend-and-compare | 24 | Cortical analysis of visual context | https://scholar.google.com/scholar?cluster=8319428113008699987&hl=en&as_sdt=0,49 | 4 | 2,020 |
Large Scale Holistic Video Understanding | 71 | eccv | 8 | 1 | 2023-06-17 00:18:08.890000 | https://github.com/holistic-video-understanding/HVU-Dataset | 67 | Large scale holistic video understanding | https://scholar.google.com/scholar?cluster=11783124008070444099&hl=en&as_sdt=0,5 | 14 | 2,020 |
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings | 17 | eccv | 8 | 0 | 2023-06-17 00:18:09.101000 | https://github.com/nianticlabs/image-box-overlap | 48 | Predicting visual overlap of images through interpretable non-metric box embeddings | https://scholar.google.com/scholar?cluster=17417215056753881033&hl=en&as_sdt=0,22 | 10 | 2,020 |
Connecting Vision and Language with Localized Narratives | 130 | eccv | 13 | 1 | 2023-06-17 00:18:09.313000 | https://github.com/google/localized-narratives | 69 | Connecting vision and language with localized narratives | https://scholar.google.com/scholar?cluster=3498887869112609391&hl=en&as_sdt=0,5 | 11 | 2,020 |
SRFlow: Learning the Super-Resolution Space with Normalizing Flow | 224 | eccv | 113 | 38 | 2023-06-17 00:18:09.524000 | https://github.com/andreas128/SRFlow | 780 | Srflow: Learning the super-resolution space with normalizing flow | https://scholar.google.com/scholar?cluster=10332710296842413172&hl=en&as_sdt=0,26 | 69 | 2,020 |
DeepGMR: Learning Latent Gaussian Mixture Models for Registration | 139 | eccv | 14 | 5 | 2023-06-17 00:18:09.735000 | https://github.com/wentaoyuan/deepgmr | 114 | Deepgmr: Learning latent gaussian mixture models for registration | https://scholar.google.com/scholar?cluster=82174238332873034&hl=en&as_sdt=0,44 | 8 | 2,020 |
Invertible Neural BRDF for Object Inverse Rendering | 15 | eccv | 2 | 0 | 2023-06-17 00:18:09.947000 | https://github.com/chenzhekl/iBRDF | 16 | Invertible neural BRDF for object inverse rendering | https://scholar.google.com/scholar?cluster=15326337480239403123&hl=en&as_sdt=0,5 | 4 | 2,020 |
Practical Deep Raw Image Denoising on Mobile Devices | 62 | eccv | 31 | 16 | 2023-06-17 00:18:10.158000 | https://github.com/megvii-research/PMRID | 172 | Practical deep raw image denoising on mobile devices | https://scholar.google.com/scholar?cluster=14817397554395527733&hl=en&as_sdt=0,33 | 9 | 2,020 |
SoundSpaces: Audio-Visual Navigation in 3D Environments | 165 | eccv | 50 | 35 | 2023-06-17 00:18:10.369000 | https://github.com/facebookresearch/sound-spaces | 264 | Soundspaces: Audio-visual navigation in 3d environments | https://scholar.google.com/scholar?cluster=12346381146066687230&hl=en&as_sdt=0,39 | 14 | 2,020 |
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