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|---|---|---|---|---|---|---|---|---|---|---|---|
Learning Where to Focus for Efficient Video Object Detection
| 49 |
eccv
| 7 | 0 |
2023-06-17 00:18:53.348000
|
https://github.com/jiangzhengkai/LSTS
| 84 |
Learning where to focus for efficient video object detection
|
https://scholar.google.com/scholar?cluster=1208462202645362859&hl=en&as_sdt=0,5
| 8 | 2,020 |
Actions as Moving Points
| 78 |
eccv
| 38 | 13 |
2023-06-17 00:18:53.561000
|
https://github.com/MCG-NJU/MOC-Detector
| 250 |
Actions as moving points
|
https://scholar.google.com/scholar?cluster=15056768592491474343&hl=en&as_sdt=0,10
| 10 | 2,020 |
Contextual Diversity for Active Learning
| 71 |
eccv
| 2 | 2 |
2023-06-17 00:18:53.772000
|
https://github.com/sharat29ag/CDAL
| 35 |
Contextual diversity for active learning
|
https://scholar.google.com/scholar?cluster=6510353152850152457&hl=en&as_sdt=0,5
| 1 | 2,020 |
Temporal Aggregate Representations for Long-Range Video Understanding
| 77 |
eccv
| 3 | 2 |
2023-06-17 00:18:53.983000
|
https://github.com/dibschat/tempAgg
| 11 |
Temporal aggregate representations for long-range video understanding
|
https://scholar.google.com/scholar?cluster=8073792548832069076&hl=en&as_sdt=0,25
| 1 | 2,020 |
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
| 53 |
eccv
| 5 | 4 |
2023-06-17 00:18:54.195000
|
https://github.com/zheniu/stochastic-cslr
| 31 |
Stochastic fine-grained labeling of multi-state sign glosses for continuous sign language recognition
|
https://scholar.google.com/scholar?cluster=2178144737272949490&hl=en&as_sdt=0,21
| 2 | 2,020 |
General 3D Room Layout from a Single View by Render-and-Compare
| 15 |
eccv
| 8 | 1 |
2023-06-17 00:18:54.406000
|
https://github.com/vevenom/RoomLayout3D_RandC
| 39 |
General 3d room layout from a single view by render-and-compare
|
https://scholar.google.com/scholar?cluster=3186828296910797192&hl=en&as_sdt=0,5
| 3 | 2,020 |
Yet Another Intermediate-Level Attack
| 29 |
eccv
| 0 | 0 |
2023-06-17 00:18:54.619000
|
https://github.com/qizhangli/ila-plus-plus
| 8 |
Yet another intermediate-level attack
|
https://scholar.google.com/scholar?cluster=5759130165300312234&hl=en&as_sdt=0,14
| 2 | 2,020 |
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
| 24 |
eccv
| 6 | 0 |
2023-06-17 00:18:54.830000
|
https://github.com/RyanXingQL/RBQE
| 66 |
Early exit or not: Resource-efficient blind quality enhancement for compressed images
|
https://scholar.google.com/scholar?cluster=6965414435637296889&hl=en&as_sdt=0,5
| 3 | 2,020 |
Infrastructure-based Multi-Camera Calibration using Radial Projections
| 13 |
eccv
| 52 | 1 |
2023-06-17 00:18:55.042000
|
https://github.com/youkely/InfrasCal
| 192 |
Infrastructure-based multi-camera calibration using radial projections
|
https://scholar.google.com/scholar?cluster=5774733199336963348&hl=en&as_sdt=0,10
| 10 | 2,020 |
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
| 114 |
eccv
| 4 | 2 |
2023-06-17 00:18:55.253000
|
https://github.com/yaoyao-liu/E3BM
| 48 |
An ensemble of epoch-wise empirical bayes for few-shot learning
|
https://scholar.google.com/scholar?cluster=3656158935031424598&hl=en&as_sdt=0,33
| 10 | 2,020 |
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
| 81 |
eccv
| 8 | 3 |
2023-06-17 00:18:55.465000
|
https://github.com/silvia1993/ROS
| 35 |
On the effectiveness of image rotation for open set domain adaptation
|
https://scholar.google.com/scholar?cluster=6328626470823546716&hl=en&as_sdt=0,5
| 3 | 2,020 |
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
| 208 |
eccv
| 18 | 21 |
2023-06-17 00:18:55.676000
|
https://github.com/jiaxi-wu/MPSR
| 132 |
Multi-scale positive sample refinement for few-shot object detection
|
https://scholar.google.com/scholar?cluster=2779990252202731803&hl=en&as_sdt=0,44
| 7 | 2,020 |
Learning Joint Spatial-Temporal Transformations for Video Inpainting
| 203 |
eccv
| 71 | 8 |
2023-06-17 00:18:55.889000
|
https://github.com/researchmm/STTN
| 371 |
Learning joint spatial-temporal transformations for video inpainting
|
https://scholar.google.com/scholar?cluster=3794150204274042070&hl=en&as_sdt=0,47
| 20 | 2,020 |
Neural Voice Puppetry: Audio-driven Facial Reenactment
| 215 |
eccv
| 26 | 0 |
2023-06-17 00:18:56.101000
|
https://github.com/miu200521358/NeuralVoicePuppetryMMD
| 56 |
Neural voice puppetry: Audio-driven facial reenactment
|
https://scholar.google.com/scholar?cluster=16317069924068686856&hl=en&as_sdt=0,34
| 3 | 2,020 |
Suppressing Mislabeled Data via Grouping and Self-Attention
| 18 |
eccv
| 5 | 1 |
2023-06-17 00:18:56.314000
|
https://github.com/kaiwang960112/AFM
| 19 |
Suppressing mislabeled data via grouping and self-attention
|
https://scholar.google.com/scholar?cluster=1682395356539181441&hl=en&as_sdt=0,33
| 1 | 2,020 |
Character-Preserving Coherent Story Visualization
| 18 |
eccv
| 4 | 11 |
2023-06-17 00:18:56.540000
|
https://github.com/yunzhusong/ECCV2020_CPCSV
| 4 |
Character-preserving coherent story visualization
|
https://scholar.google.com/scholar?cluster=17902203540270868524&hl=en&as_sdt=0,14
| 2 | 2,020 |
GINet: Graph Interaction Network for Scene Parsing
| 34 |
eccv
| 1,520 | 270 |
2023-06-17 00:18:56.751000
|
https://github.com/PaddlePaddle/PaddleSeg
| 7,245 |
GINet: Graph interaction network for scene parsing
|
https://scholar.google.com/scholar?cluster=8294990700533742729&hl=en&as_sdt=0,11
| 84 | 2,020 |
Spatiotemporal Attacks for Embodied Agents
| 39 |
eccv
| 3 | 7 |
2023-06-17 00:18:56.964000
|
https://github.com/liuaishan/SpatiotemporalAttack
| 9 |
Spatiotemporal attacks for embodied agents
|
https://scholar.google.com/scholar?cluster=6506390349923478405&hl=en&as_sdt=0,5
| 1 | 2,020 |
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
| 201 |
eccv
| 14 | 3 |
2023-06-17 00:18:57.178000
|
https://github.com/mangye16/DDAG
| 65 |
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
|
https://scholar.google.com/scholar?cluster=15806552395554554128&hl=en&as_sdt=0,4
| 2 | 2,020 |
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
| 14 |
eccv
| 5 | 1 |
2023-06-17 00:18:57.392000
|
https://github.com/unibas-gravis/icp-proposal
| 29 |
A closest point proposal for MCMC-based probabilistic surface registration
|
https://scholar.google.com/scholar?cluster=16422523338962640624&hl=en&as_sdt=0,10
| 8 | 2,020 |
Interactive Video Object Segmentation Using Global and Local Transfer Modules
| 19 |
eccv
| 2 | 0 |
2023-06-17 00:18:57.606000
|
https://github.com/yuk6heo/IVOS-ATNet
| 30 |
Interactive video object segmentation using global and local transfer modules
|
https://scholar.google.com/scholar?cluster=6821924426780280222&hl=en&as_sdt=0,5
| 3 | 2,020 |
End-to-end Interpretable Learning of Non-blind Image Deblurring
| 32 |
eccv
| 10 | 6 |
2023-06-17 00:18:57.819000
|
https://github.com/teboli/CPCR
| 24 |
End-to-end interpretable learning of non-blind image deblurring
|
https://scholar.google.com/scholar?cluster=2680629908673287729&hl=en&as_sdt=0,36
| 2 | 2,020 |
Rethinking Image Deraining via Rain Streaks and Vapors
| 42 |
eccv
| 1 | 3 |
2023-06-17 00:18:58.031000
|
https://github.com/yluestc/derain
| 14 |
Rethinking image deraining via rain streaks and vapors
|
https://scholar.google.com/scholar?cluster=5336161740827308030&hl=en&as_sdt=0,33
| 4 | 2,020 |
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
| 171 |
eccv
| 34 | 7 |
2023-06-17 00:18:58.243000
|
https://github.com/lxtGH/DecoupleSegNets
| 345 |
Improving semantic segmentation via decoupled body and edge supervision
|
https://scholar.google.com/scholar?cluster=17990846409743098772&hl=en&as_sdt=0,5
| 12 | 2,020 |
Self-supervised Video Representation Learning by Pace Prediction
| 209 |
eccv
| 12 | 4 |
2023-06-17 00:18:58.456000
|
https://github.com/laura-wang/video-pace
| 97 |
Self-supervised video representation learning by pace prediction
|
https://scholar.google.com/scholar?cluster=11755603088951717604&hl=en&as_sdt=0,44
| 14 | 2,020 |
Key Frame Proposal Network for Efficient Pose Estimation in Videos
| 20 |
eccv
| 6 | 5 |
2023-06-17 00:18:58.669000
|
https://github.com/Yuexiaoxi10/Key-Frame-Proposal-Network-for-Efficient-Pose-Estimation-in-Videos
| 53 |
Key frame proposal network for efficient pose estimation in videos
|
https://scholar.google.com/scholar?cluster=5780538835693144589&hl=en&as_sdt=0,44
| 6 | 2,020 |
Cross-Modal Weighting Network for RGB-D Salient Object Detection
| 137 |
eccv
| 4 | 2 |
2023-06-17 00:18:58.881000
|
https://github.com/MathLee/CMWNet
| 27 |
Cross-modal weighting network for RGB-D salient object detection
|
https://scholar.google.com/scholar?cluster=13461283797024351194&hl=en&as_sdt=0,21
| 4 | 2,020 |
Open-set Adversarial Defense
| 22 |
eccv
| 2 | 0 |
2023-06-17 00:18:59.094000
|
https://github.com/rshaojimmy/ECCV2020-OSAD
| 16 |
Open-set adversarial defense
|
https://scholar.google.com/scholar?cluster=5739438982546963750&hl=en&as_sdt=0,5
| 2 | 2,020 |
Deep Image Compression using Decoder Side Information
| 15 |
eccv
| 11 | 4 |
2023-06-17 00:18:59.326000
|
https://github.com/ayziksha/DSIN
| 45 |
Deep image compression using decoder side information
|
https://scholar.google.com/scholar?cluster=5418906621119582530&hl=en&as_sdt=0,34
| 4 | 2,020 |
A Generic Visualization Approach for Convolutional Neural Networks
| 7 |
eccv
| 0 | 0 |
2023-06-17 00:18:59.555000
|
https://github.com/ahmdtaha/l2_caf_pytorch
| 2 |
A generic visualization approach for convolutional neural networks
|
https://scholar.google.com/scholar?cluster=9356973463750501833&hl=en&as_sdt=0,5
| 2 | 2,020 |
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation
| 40 |
eccv
| 5 | 4 |
2023-06-17 00:18:59.769000
|
https://github.com/jaehanlee-mcl/multi-loss-rebalancing-depth
| 22 |
Multi-loss rebalancing algorithm for monocular depth estimation
|
https://scholar.google.com/scholar?cluster=7800563958572063267&hl=en&as_sdt=0,39
| 1 | 2,020 |
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
| 29 |
eccv
| 9 | 2 |
2023-06-17 00:18:59.982000
|
https://github.com/marcbadger/avian-mesh
| 47 |
3D bird reconstruction: a dataset, model, and shape recovery from a single view
|
https://scholar.google.com/scholar?cluster=9773970848112763198&hl=en&as_sdt=0,31
| 7 | 2,020 |
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:19:00.197000
|
https://github.com/Intelligent-Systems-Research-Group/JOMS
| 1 |
Joint optimization for multi-person shape models from markerless 3d-scans
|
https://scholar.google.com/scholar?cluster=12606764570932551321&hl=en&as_sdt=0,37
| 1 | 2,020 |
Accurate RGB-D Salient Object Detection via Collaborative Learning
| 137 |
eccv
| 0 | 0 |
2023-06-17 00:19:00.409000
|
https://github.com/OIPLab-DUT/CoNet
| 4 |
Accurate RGB-D salient object detection via collaborative learning
|
https://scholar.google.com/scholar?cluster=466665308156454914&hl=en&as_sdt=0,5
| 1 | 2,020 |
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
| 64 |
eccv
| 4 | 4 |
2023-06-17 00:19:00.621000
|
https://github.com/GanlongZhao/CST_DA_detection
| 20 |
Collaborative training between region proposal localization and classification for domain adaptive object detection
|
https://scholar.google.com/scholar?cluster=6973714808761672235&hl=en&as_sdt=0,47
| 2 | 2,020 |
Modeling Artistic Workflows for Image Generation and Editing
| 19 |
eccv
| 8 | 2 |
2023-06-17 00:19:00.833000
|
https://github.com/hytseng0509/ArtEditing
| 89 |
Modeling artistic workflows for image generation and editing
|
https://scholar.google.com/scholar?cluster=7486664813148391458&hl=en&as_sdt=0,44
| 12 | 2,020 |
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks
| 44 |
eccv
| 3 | 2 |
2023-06-17 00:19:01.045000
|
https://github.com/stnoah1/mcb
| 33 |
A large-scale annotated mechanical components benchmark for classification and retrieval tasks with deep neural networks
|
https://scholar.google.com/scholar?cluster=10372829528749478123&hl=en&as_sdt=0,43
| 1 | 2,020 |
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach
| 53 |
eccv
| 7 | 4 |
2023-06-17 00:19:01.258000
|
https://github.com/chahuja/mix-stage
| 24 |
Style transfer for co-speech gesture animation: A multi-speaker conditional-mixture approach
|
https://scholar.google.com/scholar?cluster=6277916960012129598&hl=en&as_sdt=0,15
| 2 | 2,020 |
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
| 90 |
eccv
| 18 | 5 |
2023-06-17 00:19:01.473000
|
https://github.com/vmurahari3/visdial-bert
| 91 |
Large-scale pretraining for visual dialog: A simple state-of-the-art baseline
|
https://scholar.google.com/scholar?cluster=2652951031582281171&hl=en&as_sdt=0,5
| 7 | 2,020 |
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
| 99 |
eccv
| 35 | 17 |
2023-06-17 00:19:01.685000
|
https://github.com/yaojieliu/ECCV20-STDN
| 140 |
On disentangling spoof trace for generic face anti-spoofing
|
https://scholar.google.com/scholar?cluster=13718839637326721225&hl=en&as_sdt=0,21
| 11 | 2,020 |
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
| 39 |
eccv
| 20 | 0 |
2023-06-17 00:19:01.899000
|
https://github.com/YunChunChen/NAS-DIP-pytorch
| 120 |
Nas-dip: Learning deep image prior with neural architecture search
|
https://scholar.google.com/scholar?cluster=14360739967987694057&hl=en&as_sdt=0,5
| 9 | 2,020 |
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
| 8 |
eccv
| 0 | 1 |
2023-06-17 00:19:02.112000
|
https://github.com/ChenhongyiYang/SG-NMS
| 11 |
Learning to separate: Detecting heavily-occluded objects in urban scenes
|
https://scholar.google.com/scholar?cluster=11678187234453170400&hl=en&as_sdt=0,44
| 1 | 2,020 |
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
| 34 |
eccv
| 4 | 1 |
2023-06-17 00:19:02.324000
|
https://github.com/noagarcia/ROLL-VideoQA
| 20 |
Knowledge-based video question answering with unsupervised scene descriptions
|
https://scholar.google.com/scholar?cluster=4210077672555312031&hl=en&as_sdt=0,5
| 3 | 2,020 |
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
| 32 |
eccv
| 3 | 6 |
2023-06-17 00:19:02.609000
|
https://github.com/jiahaoLjh/HumanDepth
| 28 |
Hdnet: Human depth estimation for multi-person camera-space localization
|
https://scholar.google.com/scholar?cluster=10715256745450524626&hl=en&as_sdt=0,23
| 6 | 2,020 |
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
| 417 |
eccv
| 152 | 8 |
2023-06-17 00:19:02.823000
|
https://github.com/StanfordASL/Trajectron-plus-plus
| 504 |
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
|
https://scholar.google.com/scholar?cluster=17437805472118459497&hl=en&as_sdt=0,6
| 23 | 2,020 |
Context-Gated Convolution
| 31 |
eccv
| 8 | 2 |
2023-06-17 00:19:03.036000
|
https://github.com/XudongLinthu/context-gated-convolution
| 52 |
Context-gated convolution
|
https://scholar.google.com/scholar?cluster=7480677484970516009&hl=en&as_sdt=0,5
| 4 | 2,020 |
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
| 90 |
eccv
| 29 | 41 |
2023-06-17 00:19:03.249000
|
https://github.com/CalayZhou/MBNet
| 83 |
Improving multispectral pedestrian detection by addressing modality imbalance problems
|
https://scholar.google.com/scholar?cluster=16938297042857904132&hl=en&as_sdt=0,33
| 2 | 2,020 |
Robust Tracking against Adversarial Attacks
| 33 |
eccv
| 6 | 0 |
2023-06-17 00:19:03.463000
|
https://github.com/joshuajss/RTAA
| 24 |
Robust tracking against adversarial attacks
|
https://scholar.google.com/scholar?cluster=649250452177818272&hl=en&as_sdt=0,33
| 3 | 2,020 |
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
| 52 |
eccv
| 8 | 1 |
2023-06-17 00:19:03.680000
|
https://github.com/NIEQiang001/unsupervised-human-pose
| 43 |
Unsupervised 3d human pose representation with viewpoint and pose disentanglement
|
https://scholar.google.com/scholar?cluster=17894504217135638951&hl=en&as_sdt=0,15
| 8 | 2,020 |
Towards Fast, Accurate and Stable 3D Dense Face Alignment
| 263 |
eccv
| 465 | 88 |
2023-06-17 00:19:03.892000
|
https://github.com/cleardusk/3DDFA_V2
| 2,549 |
Towards fast, accurate and stable 3d dense face alignment
|
https://scholar.google.com/scholar?cluster=4527555153823382927&hl=en&as_sdt=0,48
| 67 | 2,020 |
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer
| 14 |
eccv
| 2 | 1 |
2023-06-17 00:19:04.105000
|
https://github.com/chiutaiyin/Iterative-feature-transformation-for-style-transfer
| 4 |
Iterative feature transformation for fast and versatile universal style transfer
|
https://scholar.google.com/scholar?cluster=10160402618495000648&hl=en&as_sdt=0,10
| 0 | 2,020 |
Inter-Image Communication for Weakly Supervised Localization
| 74 |
eccv
| 4 | 3 |
2023-06-17 00:19:04.328000
|
https://github.com/xiaomengyc/I2C
| 28 |
Inter-image communication for weakly supervised localization
|
https://scholar.google.com/scholar?cluster=10166725510802700554&hl=en&as_sdt=0,33
| 3 | 2,020 |
UFO²: A Unified Framework towards Omni-supervised Object Detection
| 40 |
eccv
| 45 | 11 |
2023-06-17 00:19:04.548000
|
https://github.com/NVlabs/wetectron
| 348 |
UFO: A Unified Framework Towards Omni-supervised Object Detection
|
https://scholar.google.com/scholar?cluster=2851012986526988677&hl=en&as_sdt=0,5
| 31 | 2,020 |
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
| 35 |
eccv
| 2 | 7 |
2023-06-17 00:19:04.761000
|
https://github.com/zaynmi/seada-vqa
| 20 |
Semantic equivalent adversarial data augmentation for visual question answering
|
https://scholar.google.com/scholar?cluster=17023539325112614662&hl=en&as_sdt=0,5
| 1 | 2,020 |
Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:19:04.973000
|
https://github.com/rsong/UMVCNN
| 1 |
Unsupervised multi-view cnn for salient view selection of 3d objects and scenes
|
https://scholar.google.com/scholar?cluster=2764183113241505414&hl=en&as_sdt=0,31
| 1 | 2,020 |
Representation Sharing for Fast Object Detector Search and Beyond
| 9 |
eccv
| 7 | 2 |
2023-06-17 00:19:05.186000
|
https://github.com/MalongTech/research-fad
| 26 |
Representation sharing for fast object detector search and beyond
|
https://scholar.google.com/scholar?cluster=10341654826007288793&hl=en&as_sdt=0,5
| 4 | 2,020 |
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
| 60 |
eccv
| 9 | 5 |
2023-06-17 00:19:05.397000
|
https://github.com/StanfordVL/RubiksNet
| 90 |
Rubiksnet: Learnable 3d-shift for efficient video action recognition
|
https://scholar.google.com/scholar?cluster=7287945314698043527&hl=en&as_sdt=0,5
| 6 | 2,020 |
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing
| 35 |
eccv
| 40 | 14 |
2023-06-17 00:19:05.609000
|
https://github.com/charlesCXK/RGBD_Semantic_Segmentation_PyTorch
| 222 |
Malleable 2.5 d convolution: Learning receptive fields along the depth-axis for rgb-d scene parsing
|
https://scholar.google.com/scholar?cluster=11253706908375155337&hl=en&as_sdt=0,5
| 4 | 2,020 |
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
| 152 |
eccv
| 28 | 1 |
2023-06-17 00:19:05.821000
|
https://github.com/sconlyshootery/FeatDepth
| 228 |
Feature-metric loss for self-supervised learning of depth and egomotion
|
https://scholar.google.com/scholar?cluster=10633872730785437280&hl=en&as_sdt=0,5
| 7 | 2,020 |
Adversarial Semantic Data Augmentation for Human Pose Estimation
| 52 |
eccv
| 6 | 7 |
2023-06-17 00:19:06.034000
|
https://github.com/Binyr/ASDA
| 40 |
Adversarial semantic data augmentation for human pose estimation
|
https://scholar.google.com/scholar?cluster=10168117646368706914&hl=en&as_sdt=0,5
| 12 | 2,020 |
Free View Synthesis
| 203 |
eccv
| 42 | 4 |
2023-06-17 00:19:06.245000
|
https://github.com/intel-isl/FreeViewSynthesis
| 261 |
Free view synthesis
|
https://scholar.google.com/scholar?cluster=12851228195475145432&hl=en&as_sdt=0,11
| 22 | 2,020 |
Spiral Generative Network for Image Extrapolation
| 20 |
eccv
| 2 | 4 |
2023-06-17 00:19:06.457000
|
https://github.com/zhenglab/spiralnet
| 13 |
Spiral generative network for image extrapolation
|
https://scholar.google.com/scholar?cluster=17519049291772461252&hl=en&as_sdt=0,47
| 3 | 2,020 |
Few-shot Compositional Font Generation with Dual Memory
| 45 |
eccv
| 33 | 2 |
2023-06-17 00:19:06.669000
|
https://github.com/clovaai/dmfont
| 119 |
Few-shot compositional font generation with dual memory
|
https://scholar.google.com/scholar?cluster=18279316731684412054&hl=en&as_sdt=0,10
| 7 | 2,020 |
Handcrafted Outlier Detection Revisited
| 36 |
eccv
| 41 | 4 |
2023-06-17 00:19:06.881000
|
https://github.com/cavalli1234/AdaLAM
| 274 |
Handcrafted outlier detection revisited
|
https://scholar.google.com/scholar?cluster=9246231653604114804&hl=en&as_sdt=0,5
| 9 | 2,020 |
The Average Mixing Kernel Signature
| 8 |
eccv
| 0 | 0 |
2023-06-17 00:19:07.093000
|
https://github.com/lcosmo/amks-descriptor
| 5 |
The average mixing kernel signature
|
https://scholar.google.com/scholar?cluster=8382074612041864326&hl=en&as_sdt=0,5
| 5 | 2,020 |
BCNet: Learning Body and Cloth Shape from A Single Image
| 90 |
eccv
| 16 | 8 |
2023-06-17 00:19:07.305000
|
https://github.com/jby1993/BCNet
| 90 |
Bcnet: Learning body and cloth shape from a single image
|
https://scholar.google.com/scholar?cluster=10624435503248718332&hl=en&as_sdt=0,33
| 7 | 2,020 |
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
| 30 |
eccv
| 7 | 3 |
2023-06-17 00:19:07.531000
|
https://github.com/hejingwenhejingwen/CResMD
| 92 |
Interactive multi-dimension modulation with dynamic controllable residual learning for image restoration
|
https://scholar.google.com/scholar?cluster=7345386656492672682&hl=en&as_sdt=0,5
| 5 | 2,020 |
Polysemy Deciphering Network for Human-Object Interaction Detection
| 47 |
eccv
| 2 | 0 |
2023-06-17 00:19:07.742000
|
https://github.com/MuchHair/PD-Net
| 18 |
Polysemy deciphering network for human-object interaction detection
|
https://scholar.google.com/scholar?cluster=14500470924143720074&hl=en&as_sdt=0,10
| 4 | 2,020 |
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
| 324 |
eccv
| 53 | 6 |
2023-06-17 00:19:07.955000
|
https://github.com/arthurdouillard/incremental_learning.pytorch
| 324 |
Podnet: Pooled outputs distillation for small-tasks incremental learning
|
https://scholar.google.com/scholar?cluster=7958959693731950230&hl=en&as_sdt=0,5
| 14 | 2,020 |
Learning Graph-Convolutional Representations for Point Cloud Denoising
| 43 |
eccv
| 6 | 6 |
2023-06-17 00:19:08.167000
|
https://github.com/diegovalsesia/GPDNet
| 29 |
Learning graph-convolutional representations for point cloud denoising
|
https://scholar.google.com/scholar?cluster=8172733278643108058&hl=en&as_sdt=0,33
| 2 | 2,020 |
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
| 7 |
eccv
| 2 | 0 |
2023-06-17 00:19:08.378000
|
https://github.com/dongkwonjin/Semantic-Line-DRM
| 32 |
Semantic line detection using mirror attention and comparative ranking and matching
|
https://scholar.google.com/scholar?cluster=11538926710696025851&hl=en&as_sdt=0,33
| 7 | 2,020 |
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
| 58 |
eccv
| 18 | 1 |
2023-06-17 00:19:08.590000
|
https://github.com/twhui/LiteFlowNet3
| 213 |
Liteflownet3: Resolving correspondence ambiguity for more accurate optical flow estimation
|
https://scholar.google.com/scholar?cluster=15678055772600239326&hl=en&as_sdt=0,5
| 15 | 2,020 |
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters
| 25 |
eccv
| 3 | 0 |
2023-06-17 00:19:08.802000
|
https://github.com/vpronina/DeepWienerRestoration
| 10 |
Microscopy image restoration with deep wiener-kolmogorov filters
|
https://scholar.google.com/scholar?cluster=12805576976461121338&hl=en&as_sdt=0,5
| 1 | 2,020 |
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
| 97 |
eccv
| 10 | 0 |
2023-06-17 00:19:09.015000
|
https://github.com/hzykent/JSENet
| 102 |
Jsenet: Joint semantic segmentation and edge detection network for 3d point clouds
|
https://scholar.google.com/scholar?cluster=13232109569898944500&hl=en&as_sdt=0,44
| 7 | 2,020 |
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
| 28 |
eccv
| 2 | 4 |
2023-06-17 00:19:09.227000
|
https://github.com/xiaofanustc/ME-Sampler
| 11 |
Motion-excited sampler: Video adversarial attack with sparked prior
|
https://scholar.google.com/scholar?cluster=7197516693747807433&hl=en&as_sdt=0,47
| 3 | 2,020 |
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:19:09.439000
|
https://github.com/ishantshanu/ML-Minnorm
| 1 |
An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100
|
https://scholar.google.com/scholar?cluster=15254223690658200700&hl=en&as_sdt=0,21
| 2 | 2,020 |
Dual Refinement Underwater Object Detection Network
| 37 |
eccv
| 0 | 2 |
2023-06-17 00:19:09.651000
|
https://github.com/Peterchen111/FERNet
| 16 |
Dual refinement underwater object detection network
|
https://scholar.google.com/scholar?cluster=3220721688142718280&hl=en&as_sdt=0,32
| 4 | 2,020 |
Multiple Sound Sources Localization from Coarse to Fine
| 85 |
eccv
| 15 | 7 |
2023-06-17 00:19:09.863000
|
https://github.com/shvdiwnkozbw/Multi-Source-Sound-Localization
| 62 |
Multiple sound sources localization from coarse to fine
|
https://scholar.google.com/scholar?cluster=11111004644812659216&hl=en&as_sdt=0,25
| 4 | 2,020 |
Energy-Based Models for Deep Probabilistic Regression
| 50 |
eccv
| 18 | 6 |
2023-06-17 00:19:10.075000
|
https://github.com/fregu856/ebms_regression
| 85 |
Energy-based models for deep probabilistic regression
|
https://scholar.google.com/scholar?cluster=414963039998112333&hl=en&as_sdt=0,14
| 4 | 2,020 |
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
| 86 |
eccv
| 14 | 4 |
2023-06-17 00:19:10.289000
|
https://github.com/ClancyZhou/P_Net_Anomaly_Detection
| 54 |
Encoding structure-texture relation with p-net for anomaly detection in retinal images
|
https://scholar.google.com/scholar?cluster=5668631453871706518&hl=en&as_sdt=0,5
| 3 | 2,020 |
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers
| 69 |
eccv
| 5 | 2 |
2023-06-17 00:19:10.502000
|
https://github.com/xingpingdong/CLNet-tracking
| 31 |
CLNet: A compact latent network for fast adjusting Siamese trackers
|
https://scholar.google.com/scholar?cluster=17959306132449137102&hl=en&as_sdt=0,5
| 3 | 2,020 |
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
| 11 |
eccv
| 1 | 0 |
2023-06-17 00:19:10.715000
|
https://github.com/MinglangQiao/MVVA-Database
| 7 |
Learning to predict salient faces: A novel visual-audio saliency model
|
https://scholar.google.com/scholar?cluster=10407966517330902821&hl=en&as_sdt=0,20
| 2 | 2,020 |
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image
| 29 |
eccv
| 13 | 6 |
2023-06-17 00:19:10.929000
|
https://github.com/LizhenWangT/NormalGAN
| 66 |
Normalgan: Learning detailed 3d human from a single rgb-d image
|
https://scholar.google.com/scholar?cluster=17372069612448752096&hl=en&as_sdt=0,5
| 5 | 2,020 |
On the Usage of the Trifocal Tensor in Motion Segmentation
| 5 |
eccv
| 0 | 0 |
2023-06-17 00:19:11.141000
|
https://github.com/federica-arrigoni/ECCV_20
| 0 |
On the usage of the trifocal tensor in motion segmentation
|
https://scholar.google.com/scholar?cluster=6076373986302334740&hl=en&as_sdt=0,47
| 2 | 2,020 |
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
| 208 |
eccv
| 23 | 16 |
2023-06-17 00:19:11.353000
|
https://github.com/ifnspaml/SGDepth
| 187 |
Self-supervised monocular depth estimation: Solving the dynamic object problem by semantic guidance
|
https://scholar.google.com/scholar?cluster=8598900070520286121&hl=en&as_sdt=0,5
| 9 | 2,020 |
Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language
| 46 |
eccv
| 2 | 1 |
2023-06-17 00:19:11.565000
|
https://github.com/forwchen/HVTG
| 17 |
Hierarchical visual-textual graph for temporal activity localization via language
|
https://scholar.google.com/scholar?cluster=4992836478532047682&hl=en&as_sdt=0,5
| 4 | 2,020 |
NODIS: Neural Ordinary Differential Scene Understanding
| 17 |
eccv
| 3 | 0 |
2023-06-17 00:19:11.777000
|
https://github.com/yrcong/NODIS
| 9 |
Nodis: Neural ordinary differential scene understanding
|
https://scholar.google.com/scholar?cluster=10668378863380867275&hl=en&as_sdt=0,38
| 3 | 2,020 |
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
| 43 |
eccv
| 4 | 0 |
2023-06-17 00:19:11.989000
|
https://github.com/menelaoskanakis/RCM
| 29 |
Reparameterizing convolutions for incremental multi-task learning without task interference
|
https://scholar.google.com/scholar?cluster=11050373307584128908&hl=en&as_sdt=0,50
| 7 | 2,020 |
Unifying Deep Local and Global Features for Image Search
| 230 |
eccv
| 46,279 | 1,207 |
2023-06-17 00:19:12.201000
|
https://github.com/tensorflow/models
| 75,921 |
Unifying deep local and global features for image search
|
https://scholar.google.com/scholar?cluster=4844482508106875299&hl=en&as_sdt=0,31
| 2,774 | 2,020 |
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
| 40 |
eccv
| 5 | 3 |
2023-06-17 00:19:12.413000
|
https://github.com/MengzSun/DDGCN
| 20 |
Ddgcn: A dynamic directed graph convolutional network for action recognition
|
https://scholar.google.com/scholar?cluster=10891789842765257479&hl=en&as_sdt=0,39
| 1 | 2,020 |
Learning latent representations across multiple data domains using Lifelong VAEGAN
| 43 |
eccv
| 1 | 1 |
2023-06-17 00:19:12.625000
|
https://github.com/dtuzi123/LifelongVAEGAN
| 7 |
Learning latent representations across multiple data domains using lifelong VAEGAN
|
https://scholar.google.com/scholar?cluster=8524866969127110319&hl=en&as_sdt=0,6
| 1 | 2,020 |
DVI: Depth Guided Video Inpainting for Autonomous Driving
| 27 |
eccv
| 8 | 2 |
2023-06-17 00:19:12.837000
|
https://github.com/sibozhang/Depth-Guided-Inpainting
| 54 |
Dvi: Depth guided video inpainting for autonomous driving
|
https://scholar.google.com/scholar?cluster=13578799766225685537&hl=en&as_sdt=0,39
| 2 | 2,020 |
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
| 31 |
eccv
| 19 | 4 |
2023-06-17 00:19:13.048000
|
https://github.com/magicleap/DELTAS
| 96 |
Deltas: Depth estimation by learning triangulation and densification of sparse points
|
https://scholar.google.com/scholar?cluster=2573086286039164925&hl=en&as_sdt=0,44
| 11 | 2,020 |
Backpropagated Gradient Representations for Anomaly Detection
| 59 |
eccv
| 6 | 2 |
2023-06-17 00:19:13.260000
|
https://github.com/olivesgatech/gradcon-anomaly
| 29 |
Backpropagated gradient representations for anomaly detection
|
https://scholar.google.com/scholar?cluster=10657672650004009459&hl=en&as_sdt=0,14
| 4 | 2,020 |
Dense RepPoints: Representing Visual Objects with Dense Point Sets
| 44 |
eccv
| 15 | 8 |
2023-06-17 00:19:13.471000
|
https://github.com/justimyhxu/Dense-RepPoints
| 144 |
Dense reppoints: Representing visual objects with dense point sets
|
https://scholar.google.com/scholar?cluster=9322617383465008408&hl=en&as_sdt=0,47
| 10 | 2,020 |
Adaptive Video Highlight Detection by Learning from User History
| 20 |
eccv
| 6 | 0 |
2023-06-17 00:19:13.683000
|
https://github.com/mrochan/adaptive-highlight
| 20 |
Adaptive video highlight detection by learning from user history
|
https://scholar.google.com/scholar?cluster=1437416319953428090&hl=en&as_sdt=0,31
| 3 | 2,020 |
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
| 86 |
eccv
| 2 | 6 |
2023-06-17 00:19:13.895000
|
https://github.com/ZhiHanZ/IRIS0-SPAN
| 26 |
SPAN: Spatial pyramid attention network for image manipulation localization
|
https://scholar.google.com/scholar?cluster=9061603191086183717&hl=en&as_sdt=0,5
| 3 | 2,020 |
Identity-Aware Multi-Sentence Video Description
| 13 |
eccv
| 5 | 1 |
2023-06-17 00:19:14.108000
|
https://github.com/jamespark3922/lsmdc-fillin
| 11 |
Identity-aware multi-sentence video description
|
https://scholar.google.com/scholar?cluster=10690664751687301834&hl=en&as_sdt=0,40
| 2 | 2,020 |
Mining Inter-Video Proposal Relations for Video Object Detection
| 63 |
eccv
| 6 | 5 |
2023-06-17 00:19:14.354000
|
https://github.com/youthHan/HVRNet
| 43 |
Mining inter-video proposal relations for video object detection
|
https://scholar.google.com/scholar?cluster=1174142847294902832&hl=en&as_sdt=0,5
| 6 | 2,020 |
Minimum Class Confusion for Versatile Domain Adaptation
| 181 |
eccv
| 9 | 1 |
2023-06-17 00:19:14.566000
|
https://github.com/thuml/Versatile-Domain-Adaptation
| 33 |
Minimum class confusion for versatile domain adaptation
|
https://scholar.google.com/scholar?cluster=10435611166714181688&hl=en&as_sdt=0,10
| 5 | 2,020 |
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