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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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