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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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