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JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image | 36 | eccv | 9 | 4 | 2023-06-17 00:18:10.582000 | https://github.com/fanglinpu/JGR-P2O | 36 | Jgr-p2o: Joint graph reasoning based pixel-to-offset prediction network for 3d hand pose estimation from a single depth image | https://scholar.google.com/scholar?cluster=9945614563627279865&hl=en&as_sdt=0,11 | 2 | 2,020 |
Dynamic Group Convolution for Accelerating Convolutional Neural Networks | 30 | eccv | 19 | 6 | 2023-06-17 00:18:10.794000 | https://github.com/zhuogege1943/dgc | 123 | Dynamic group convolution for accelerating convolutional neural networks | https://scholar.google.com/scholar?cluster=15250993372370753171&hl=en&as_sdt=0,5 | 4 | 2,020 |
Photon-Efficient 3D Imaging with A Non-Local Neural Network | 35 | eccv | 7 | 7 | 2023-06-17 00:18:11.006000 | https://github.com/JiayongO-O/PENonLocal | 22 | Photon-efficient 3d imaging with a non-local neural network | https://scholar.google.com/scholar?cluster=16002398866201588716&hl=en&as_sdt=0,5 | 2 | 2,020 |
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web | 148 | eccv | 9 | 3 | 2023-06-17 00:18:11.217000 | https://github.com/arjunmajum/vln-bert | 47 | Improving vision-and-language navigation with image-text pairs from the web | https://scholar.google.com/scholar?cluster=5223130819859992392&hl=en&as_sdt=0,32 | 4 | 2,020 |
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos | 3 | eccv | 2 | 1 | 2023-06-17 00:18:11.429000 | https://github.com/zhenglab/cotere-net | 3 | CoTeRe-Net: Discovering collaborative ternary relations in videos | https://scholar.google.com/scholar?cluster=10175573041674181180&hl=en&as_sdt=0,14 | 1 | 2,020 |
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search | 14 | eccv | 7 | 2 | 2023-06-17 00:18:11.641000 | https://github.com/ambekarsameer96/GLSS | 31 | Unsupervised domain adaptation for semantic segmentation of NIR images through generative latent search | https://scholar.google.com/scholar?cluster=18397040174251573091&hl=en&as_sdt=0,5 | 3 | 2,020 |
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models | 70 | eccv | 8 | 5 | 2023-06-17 00:18:11.855000 | https://github.com/EunhyeokPark/PROFIT | 40 | Profit: A novel training method for sub-4-bit mobilenet models | https://scholar.google.com/scholar?cluster=7864152585647915312&hl=en&as_sdt=0,33 | 4 | 2,020 |
Visual Relation Grounding in Videos | 29 | eccv | 7 | 4 | 2023-06-17 00:18:12.066000 | https://github.com/doc-doc/vRGV | 56 | Visual relation grounding in videos | https://scholar.google.com/scholar?cluster=17262208065957569842&hl=en&as_sdt=0,47 | 3 | 2,020 |
Controlling Style and Semantics in Weakly-Supervised Image Generation | 33 | eccv | 21 | 1 | 2023-06-17 00:18:12.284000 | https://github.com/dariopavllo/style-semantics | 141 | Controlling style and semantics in weakly-supervised image generation | https://scholar.google.com/scholar?cluster=16760433186567388134&hl=en&as_sdt=0,44 | 10 | 2,020 |
SODA: Story Oriented Dense Video Captioning Evaluation Framework | 15 | eccv | 3 | 2 | 2023-06-17 00:18:12.503000 | https://github.com/fujiso/SODA | 7 | SODA: Story oriented dense video captioning evaluation framework | https://scholar.google.com/scholar?cluster=1063726150354296484&hl=en&as_sdt=0,36 | 3 | 2,020 |
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses | 98 | eccv | 18 | 2 | 2023-06-17 00:18:12.715000 | https://github.com/jeromerony/dml_cross_entropy | 156 | A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses | https://scholar.google.com/scholar?cluster=15432822648565804462&hl=en&as_sdt=0,10 | 6 | 2,020 |
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement | 94 | eccv | 22 | 2 | 2023-06-17 00:18:12.926000 | https://github.com/wpeebles/hessian_penalty | 200 | The hessian penalty: A weak prior for unsupervised disentanglement | https://scholar.google.com/scholar?cluster=2114387420606237840&hl=en&as_sdt=0,5 | 12 | 2,020 |
STAR: Sparse Trained Articulated Human Body Regressor | 167 | eccv | 88 | 7 | 2023-06-17 00:18:13.139000 | https://github.com/ahmedosman/STAR | 556 | Star: Sparse trained articulated human body regressor | https://scholar.google.com/scholar?cluster=766398854031447932&hl=en&as_sdt=0,37 | 20 | 2,020 |
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians | 38 | eccv | 10 | 6 | 2023-06-17 00:18:13.350000 | https://github.com/X-BrainLab/PI-ReID | 43 | Do not disturb me: Person re-identification under the interference of other pedestrians | https://scholar.google.com/scholar?cluster=10061558687540529622&hl=en&as_sdt=0,5 | 2 | 2,020 |
Highly Efficient Salient Object Detection with 100K Parameters | 136 | eccv | 45 | 1 | 2023-06-17 00:18:13.562000 | https://github.com/ShangHua-Gao/SOD100K | 230 | Highly efficient salient object detection with 100k parameters | https://scholar.google.com/scholar?cluster=10561938600149288701&hl=en&as_sdt=0,5 | 13 | 2,020 |
Simulating Content Consistent Vehicle Datasets with Attribute Descent | 140 | eccv | 19 | 4 | 2023-06-17 00:18:13.773000 | https://github.com/yorkeyao/VehicleX | 145 | Simulating content consistent vehicle datasets with attribute descent | https://scholar.google.com/scholar?cluster=1008066265294345684&hl=en&as_sdt=0,5 | 6 | 2,020 |
Multiview Detection with Feature Perspective Transformation | 49 | eccv | 26 | 1 | 2023-06-17 00:18:13.984000 | https://github.com/hou-yz/MVDet | 133 | Multiview detection with feature perspective transformation | https://scholar.google.com/scholar?cluster=12083775198861358360&hl=en&as_sdt=0,7 | 5 | 2,020 |
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search | 40 | eccv | 12 | 1 | 2023-06-17 00:18:14.195000 | https://github.com/Yuantian013/E2GAN | 36 | Off-policy reinforcement learning for efficient and effective gan architecture search | https://scholar.google.com/scholar?cluster=1035067928547475214&hl=en&as_sdt=0,33 | 5 | 2,020 |
The Group Loss for Deep Metric Learning | 56 | eccv | 14 | 3 | 2023-06-17 00:18:14.407000 | https://github.com/dvl-tum/group_loss | 44 | The group loss for deep metric learning | https://scholar.google.com/scholar?cluster=13659281019313761829&hl=en&as_sdt=0,47 | 4 | 2,020 |
Learning Object Depth from Camera Motion and Video Object Segmentation | 3 | eccv | 10 | 0 | 2023-06-17 00:18:14.619000 | https://github.com/griffbr/ODMS | 69 | Learning object depth from camera motion and video object segmentation | https://scholar.google.com/scholar?cluster=6889613697176178772&hl=en&as_sdt=0,21 | 5 | 2,020 |
OnlineAugment: Online Data Augmentation with Less Domain Knowledge | 33 | eccv | 5 | 2 | 2023-06-17 00:18:14.830000 | https://github.com/zhiqiangdon/online-augment | 37 | OnlineAugment: Online data augmentation with less domain knowledge | https://scholar.google.com/scholar?cluster=5067479430831174615&hl=en&as_sdt=0,5 | 2 | 2,020 |
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction | 18 | eccv | 4 | 5 | 2023-06-17 00:18:15.041000 | https://github.com/yi-ming-qian/interplane | 38 | Learning pairwise inter-plane relations for piecewise planar reconstruction | https://scholar.google.com/scholar?cluster=590926112783724445&hl=en&as_sdt=0,5 | 7 | 2,020 |
Intra-class Feature Variation Distillation for Semantic Segmentation | 73 | eccv | 10 | 7 | 2023-06-17 00:18:15.252000 | https://github.com/YukangWang/IFVD | 62 | Intra-class feature variation distillation for semantic segmentation | https://scholar.google.com/scholar?cluster=15909434654296625267&hl=en&as_sdt=0,5 | 4 | 2,020 |
Colorization of Depth Map via Disentanglement | 4 | eccv | 3 | 0 | 2023-06-17 00:18:15.464000 | https://github.com/alanlai199/ColorizeDepthNet | 3 | Colorization of depth map via disentanglement | https://scholar.google.com/scholar?cluster=5966508110541895307&hl=en&as_sdt=0,8 | 1 | 2,020 |
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes | 30 | eccv | 5 | 3 | 2023-06-17 00:18:15.675000 | https://github.com/WaldJohannaU/RIO10 | 21 | Beyond controlled environments: 3d camera re-localization in changing indoor scenes | https://scholar.google.com/scholar?cluster=8394466864426606177&hl=en&as_sdt=0,33 | 2 | 2,020 |
Localizing the Common Action Among a Few Videos | 15 | eccv | 2 | 2 | 2023-06-17 00:18:15.887000 | https://github.com/PengWan-Yang/commonLocalization | 16 | Localizing the common action among a few videos | https://scholar.google.com/scholar?cluster=16507642119898920462&hl=en&as_sdt=0,33 | 2 | 2,020 |
Traffic Accident Benchmark for Causality Recognition | 24 | eccv | 2 | 2 | 2023-06-17 00:18:16.097000 | https://github.com/tackgeun/CausalityInTrafficAccident | 24 | Traffic accident benchmark for causality recognition | https://scholar.google.com/scholar?cluster=15783573589328009426&hl=en&as_sdt=0,23 | 2 | 2,020 |
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification | 162 | eccv | 15 | 4 | 2023-06-17 00:18:16.309000 | https://github.com/YunpengZhai/MEB-Net | 77 | Multiple expert brainstorming for domain adaptive person re-identification | https://scholar.google.com/scholar?cluster=9325205339636219475&hl=en&as_sdt=0,5 | 4 | 2,020 |
Towards Unique and Informative Captioning of Images | 25 | eccv | 1 | 0 | 2023-06-17 00:18:16.529000 | https://github.com/princetonvisualai/SPICE-U | 10 | Towards unique and informative captioning of images | https://scholar.google.com/scholar?cluster=13185280862262111547&hl=en&as_sdt=0,33 | 3 | 2,020 |
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image | 264 | eccv | 125 | 42 | 2023-06-17 00:18:16.741000 | https://github.com/mks0601/I2L-MeshNet_RELEASE | 656 | I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image | https://scholar.google.com/scholar?cluster=11169012709456918431&hl=en&as_sdt=0,47 | 25 | 2,020 |
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose | 225 | eccv | 60 | 43 | 2023-06-17 00:18:16.953000 | https://github.com/hongsukchoi/Pose2Mesh_RELEASE | 476 | Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose | https://scholar.google.com/scholar?cluster=16146709528762580346&hl=en&as_sdt=0,5 | 15 | 2,020 |
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition | 3 | eccv | 0 | 1 | 2023-06-17 00:18:17.171000 | https://github.com/KeleiHe/DAAN | 8 | Unsupervised domain attention adaptation network for caricature attribute recognition | https://scholar.google.com/scholar?cluster=2636273584791928506&hl=en&as_sdt=0,3 | 1 | 2,020 |
Curriculum DeepSDF | 62 | eccv | 11 | 1 | 2023-06-17 00:18:17.384000 | https://github.com/haidongz-usc/Curriculum-DeepSDF | 74 | Curriculum deepsdf | https://scholar.google.com/scholar?cluster=15992411980424655075&hl=en&as_sdt=0,5 | 7 | 2,020 |
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance | 27 | eccv | 9 | 2 | 2023-06-17 00:18:17.596000 | https://github.com/Colin97/Point2Mesh | 77 | Meshing point clouds with predicted intrinsic-extrinsic ratio guidance | https://scholar.google.com/scholar?cluster=17672250156896907210&hl=en&as_sdt=0,10 | 6 | 2,020 |
Component Divide-and-Conquer for Real-World Image Super-Resolution | 106 | eccv | 19 | 17 | 2023-06-17 00:18:17.808000 | https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution | 156 | Component divide-and-conquer for real-world image super-resolution | https://scholar.google.com/scholar?cluster=6228594614718931211&hl=en&as_sdt=0,10 | 3 | 2,020 |
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier | 32 | eccv | 6 | 1 | 2023-06-17 00:18:18.019000 | https://github.com/gina9726/Deep-RTC | 17 | Solving long-tailed recognition with deep realistic taxonomic classifier | https://scholar.google.com/scholar?cluster=5239208418514304648&hl=en&as_sdt=0,33 | 1 | 2,020 |
Faster Person Re-Identification | 48 | eccv | 89 | 5 | 2023-06-17 00:18:18.231000 | https://github.com/wangguanan/light-reid | 467 | Faster person re-identification | https://scholar.google.com/scholar?cluster=16177394885432269514&hl=en&as_sdt=0,47 | 14 | 2,020 |
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction | 29 | eccv | 10 | 10 | 2023-06-17 00:18:18.442000 | https://github.com/XiangyuZhu-open/Beyond3DMM | 102 | Beyond 3dmm space: Towards fine-grained 3d face reconstruction | https://scholar.google.com/scholar?cluster=17906338760505888832&hl=en&as_sdt=0,26 | 22 | 2,020 |
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation | 24 | eccv | 47 | 55 | 2023-06-17 00:18:18.655000 | https://github.com/fanq15/FewX | 316 | Commonality-parsing network across shape and appearance for partially supervised instance segmentation | https://scholar.google.com/scholar?cluster=2402539617532346879&hl=en&as_sdt=0,5 | 14 | 2,020 |
Event-based Asynchronous Sparse Convolutional Networks | 87 | eccv | 21 | 7 | 2023-06-17 00:18:18.867000 | https://github.com/uzh-rpg/rpg_asynet | 105 | Event-based asynchronous sparse convolutional networks | https://scholar.google.com/scholar?cluster=758733237410689514&hl=en&as_sdt=0,7 | 12 | 2,020 |
AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption | 42 | eccv | 9 | 0 | 2023-06-17 00:18:19.079000 | https://github.com/crs4/AtlantaNet | 67 | AtlantaNet: Inferring the 3D Indoor Layout from a Single Image Beyond the Manhattan World Assumption | https://scholar.google.com/scholar?cluster=5436865001180080395&hl=en&as_sdt=0,34 | 15 | 2,020 |
REMIND Your Neural Network to Prevent Catastrophic Forgetting | 180 | eccv | 23 | 2 | 2023-06-17 00:18:19.291000 | https://github.com/tyler-hayes/REMIND | 73 | Remind your neural network to prevent catastrophic forgetting | https://scholar.google.com/scholar?cluster=12242659965192476328&hl=en&as_sdt=0,5 | 12 | 2,020 |
n-Reference Transfer Learning for Saliency Prediction | 3 | eccv | 1 | 0 | 2023-06-17 00:18:19.531000 | https://github.com/luoyan407/n-reference | 10 | n-Reference Transfer Learning for Saliency Prediction | https://scholar.google.com/scholar?cluster=6476777819073493860&hl=en&as_sdt=0,14 | 1 | 2,020 |
Bottom-Up Temporal Action Localization with Mutual Regularization | 132 | eccv | 7 | 5 | 2023-06-17 00:18:19.745000 | https://github.com/PeisenZhao/Bottom-Up-TAL-with-MR | 43 | Bottom-up temporal action localization with mutual regularization | https://scholar.google.com/scholar?cluster=10726191543392549862&hl=en&as_sdt=0,34 | 3 | 2,020 |
On Modulating the Gradient for Meta-Learning | 43 | eccv | 1 | 0 | 2023-06-17 00:18:19.957000 | https://github.com/chrysts/generative_preconditioner | 10 | On modulating the gradient for meta-learning | https://scholar.google.com/scholar?cluster=15551882239669772127&hl=en&as_sdt=0,5 | 2 | 2,020 |
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning | 52 | eccv | 11 | 0 | 2023-06-17 00:18:20.169000 | https://github.com/Confusezius/ECCV2020_DiVA_MultiFeature_DML | 33 | Diva: Diverse visual feature aggregation for deep metric learning | https://scholar.google.com/scholar?cluster=10654101508102369352&hl=en&as_sdt=0,5 | 3 | 2,020 |
DHP: Differentiable Meta Pruning via HyperNetworks | 88 | eccv | 8 | 2 | 2023-06-17 00:18:20.380000 | https://github.com/ofsoundof/dhp | 54 | Dhp: Differentiable meta pruning via hypernetworks | https://scholar.google.com/scholar?cluster=8040242482873444313&hl=en&as_sdt=0,5 | 8 | 2,020 |
Deep Transferring Quantization | 9 | eccv | 3 | 3 | 2023-06-17 00:18:20.592000 | https://github.com/xiezheng-cs/DTQ | 16 | Deep transferring quantization | https://scholar.google.com/scholar?cluster=4949281948519150882&hl=en&as_sdt=0,5 | 1 | 2,020 |
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation | 72 | eccv | 14 | 3 | 2023-06-17 00:18:20.803000 | https://github.com/ChrisAllenMing/LtC-MSDA | 62 | Learning to combine: Knowledge aggregation for multi-source domain adaptation | https://scholar.google.com/scholar?cluster=10311437176755219330&hl=en&as_sdt=0,6 | 5 | 2,020 |
Prototype Mixture Models for Few-shot Semantic Segmentation | 217 | eccv | 26 | 13 | 2023-06-17 00:18:21.015000 | https://github.com/Yang-Bob/PMMs | 158 | Prototype mixture models for few-shot semantic segmentation | https://scholar.google.com/scholar?cluster=1752297880140271762&hl=en&as_sdt=0,5 | 10 | 2,020 |
Talking-head Generation with Rhythmic Head Motion | 98 | eccv | 27 | 14 | 2023-06-17 00:18:21.259000 | https://github.com/lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion | 183 | Talking-head generation with rhythmic head motion | https://scholar.google.com/scholar?cluster=17698096516436433943&hl=en&as_sdt=0,5 | 12 | 2,020 |
VPN: Learning Video-Pose Embedding for Activities of Daily Living | 71 | eccv | 7 | 3 | 2023-06-17 00:18:21.505000 | https://github.com/srijandas07/VPN | 32 | Vpn: Learning video-pose embedding for activities of daily living | https://scholar.google.com/scholar?cluster=11383453681577787475&hl=en&as_sdt=0,11 | 5 | 2,020 |
Part-aware Prototype Network for Few-shot Semantic Segmentation | 196 | eccv | 17 | 4 | 2023-06-17 00:18:21.716000 | https://github.com/Xiangyi1996/PPNet-PyTorch | 113 | Part-aware prototype network for few-shot semantic segmentation | https://scholar.google.com/scholar?cluster=16634938413302258623&hl=en&as_sdt=0,11 | 10 | 2,020 |
Whole-Body Human Pose Estimation in the Wild | 130 | eccv | 71 | 6 | 2023-06-17 00:18:21.928000 | https://github.com/jin-s13/COCO-WholeBody | 626 | Whole-body human pose estimation in the wild | https://scholar.google.com/scholar?cluster=3476113466825776687&hl=en&as_sdt=0,44 | 24 | 2,020 |
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants | 5 | eccv | 7 | 0 | 2023-06-17 00:18:22.139000 | https://github.com/prclibo/relative_pose | 28 | Relative Pose Estimation of Calibrated Cameras with Known Invariants | https://scholar.google.com/scholar?cluster=15442781977472727349&hl=en&as_sdt=0,5 | 2 | 2,020 |
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing | 4 | eccv | 3 | 4 | 2023-06-17 00:18:22.350000 | https://github.com/rkteddy/RK-CCSNet | 11 | Sequential convolution and runge-kutta residual architecture for image compressed sensing | https://scholar.google.com/scholar?cluster=293112628386870123&hl=en&as_sdt=0,33 | 2 | 2,020 |
Deep Hough Transform for Semantic Line Detection | 104 | eccv | 65 | 8 | 2023-06-17 00:18:22.562000 | https://github.com/Hanqer/deep-hough-transform | 277 | Deep hough transform for semantic line detection | https://scholar.google.com/scholar?cluster=365795054103351102&hl=en&as_sdt=0,10 | 13 | 2,020 |
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning | 33 | eccv | 3 | 5 | 2023-06-17 00:18:22.774000 | https://github.com/xuxy09/RSC-Net | 45 | 3d human shape and pose from a single low-resolution image with self-supervised learning | https://scholar.google.com/scholar?cluster=11400661144126393693&hl=en&as_sdt=0,5 | 2 | 2,020 |
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization | 122 | eccv | 3 | 2 | 2023-06-17 00:18:22.985000 | https://github.com/prithv1/DMG | 50 | Learning to balance specificity and invariance for in and out of domain generalization | https://scholar.google.com/scholar?cluster=2971128396165767360&hl=en&as_sdt=0,30 | 2 | 2,020 |
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction | 136 | eccv | 16 | 1 | 2023-06-17 00:18:23.197000 | https://github.com/Khrylx/DLow | 93 | Dlow: Diversifying latent flows for diverse human motion prediction | https://scholar.google.com/scholar?cluster=16681509370624324705&hl=en&as_sdt=0,14 | 5 | 2,020 |
GRNet: Gridding Residual Network for Dense Point Cloud Completion | 198 | eccv | 55 | 2 | 2023-06-17 00:18:23.409000 | https://github.com/hzxie/GRNet | 249 | Grnet: Gridding residual network for dense point cloud completion | https://scholar.google.com/scholar?cluster=11624547905159494632&hl=en&as_sdt=0,43 | 4 | 2,020 |
Blind Face Restoration via Deep Multi-scale Component Dictionaries | 102 | eccv | 221 | 36 | 2023-06-17 00:18:23.622000 | https://github.com/csxmli2016/DFDNet | 851 | Blind face restoration via deep multi-scale component dictionaries | https://scholar.google.com/scholar?cluster=4053134039615204121&hl=en&as_sdt=0,10 | 37 | 2,020 |
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods | 4 | eccv | 2 | 0 | 2023-06-17 00:18:23.833000 | https://github.com/matbambbang/sspnet | 14 | Robust neural networks inspired by strong stability preserving Runge-Kutta methods | https://scholar.google.com/scholar?cluster=11614410574122465773&hl=en&as_sdt=0,11 | 1 | 2,020 |
Inequality-Constrained and Robust 3D Face Model Fitting | 11 | eccv | 4 | 1 | 2023-06-17 00:18:24.046000 | https://github.com/sariyanidi/3DI | 9 | Inequality-constrained and robust 3d face model fitting | https://scholar.google.com/scholar?cluster=10349705549775155101&hl=en&as_sdt=0,5 | 4 | 2,020 |
Learnable Cost Volume Using the Cayley Representation | 11 | eccv | 0 | 0 | 2023-06-17 00:18:24.258000 | https://github.com/Prinsphield/LCV | 2 | Learnable cost volume using the cayley representation | https://scholar.google.com/scholar?cluster=12178650096757131507&hl=en&as_sdt=0,5 | 2 | 2,020 |
HALO: Hardware-Aware Learning to Optimize | 22 | eccv | 0 | 0 | 2023-06-17 00:18:24.469000 | https://github.com/RICE-EIC/HALO | 7 | HALO: Hardware-aware learning to optimize | https://scholar.google.com/scholar?cluster=15679986134089724572&hl=en&as_sdt=0,5 | 3 | 2,020 |
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling | 144 | eccv | 54 | 2 | 2023-06-17 00:18:24.682000 | https://github.com/bertjiazheng/Structured3D | 420 | Structured3d: A large photo-realistic dataset for structured 3d modeling | https://scholar.google.com/scholar?cluster=10565232241444480575&hl=en&as_sdt=0,5 | 16 | 2,020 |
Knowledge Distillation Meets Self-Supervision | 202 | eccv | 49 | 10 | 2023-06-17 00:18:24.893000 | https://github.com/xuguodong03/SSKD | 212 | Knowledge distillation meets self-supervision | https://scholar.google.com/scholar?cluster=1628469133386608876&hl=en&as_sdt=0,11 | 8 | 2,020 |
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints | 41 | eccv | 5 | 1 | 2023-06-17 00:18:25.105000 | https://github.com/xxlong0/CNMNet | 46 | Occlusion-aware depth estimation with adaptive normal constraints | https://scholar.google.com/scholar?cluster=5257398877657773735&hl=en&as_sdt=0,7 | 4 | 2,020 |
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation | 153 | eccv | 46,279 | 1,207 | 2023-06-17 00:18:25.316000 | https://github.com/tensorflow/models | 75,921 | Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation | https://scholar.google.com/scholar?cluster=12595970701818011045&hl=en&as_sdt=0,5 | 2,774 | 2,020 |
Spatially Aware Multimodal Transformers for TextVQA | 64 | eccv | 12 | 6 | 2023-06-17 00:18:25.540000 | https://github.com/yashkant/sam-textvqa | 57 | Spatially aware multimodal transformers for textvqa | https://scholar.google.com/scholar?cluster=15544961945586431301&hl=en&as_sdt=0,47 | 3 | 2,020 |
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector | 113 | eccv | 20 | 12 | 2023-06-17 00:18:25.751000 | https://github.com/chengchunhsu/EveryPixelMatters | 152 | Every pixel matters: Center-aware feature alignment for domain adaptive object detector | https://scholar.google.com/scholar?cluster=12865822687242866746&hl=en&as_sdt=0,44 | 8 | 2,020 |
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation | 72 | eccv | 11 | 7 | 2023-06-17 00:18:25.963000 | https://github.com/yhw-yhw/PVAMVSNet | 73 | Pyramid multi-view stereo net with self-adaptive view aggregation | https://scholar.google.com/scholar?cluster=5324599381865835017&hl=en&as_sdt=0,5 | 12 | 2,020 |
Unpaired Image-to-Image Translation using Adversarial Consistency Loss | 78 | eccv | 32 | 5 | 2023-06-17 00:18:26.173000 | https://github.com/hyperplane-lab/ACL-GAN | 133 | Unpaired image-to-image translation using adversarial consistency loss | https://scholar.google.com/scholar?cluster=4792912034124725763&hl=en&as_sdt=0,19 | 7 | 2,020 |
Monocular Expressive Body Regression through Body-Driven Attention | 150 | eccv | 90 | 38 | 2023-06-17 00:18:26.385000 | https://github.com/vchoutas/expose | 525 | Monocular expressive body regression through body-driven attention | https://scholar.google.com/scholar?cluster=13234841314490938022&hl=en&as_sdt=0,5 | 20 | 2,020 |
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation | 141 | eccv | 32 | 4 | 2023-06-17 00:18:26.597000 | https://github.com/zsyOAOA/DANet | 160 | Dual adversarial network: Toward real-world noise removal and noise generation | https://scholar.google.com/scholar?cluster=5519869533522154004&hl=en&as_sdt=0,5 | 2 | 2,020 |
Linguistic Structure Guided Context Modeling for Referring Image Segmentation | 70 | eccv | 5 | 1 | 2023-06-17 00:18:26.808000 | https://github.com/spyflying/LSCM-Refseg | 9 | Linguistic structure guided context modeling for referring image segmentation | https://scholar.google.com/scholar?cluster=1017126320110663053&hl=en&as_sdt=0,47 | 5 | 2,020 |
Robust Re-Identification by Multiple Views Knowledge Distillation | 53 | eccv | 15 | 4 | 2023-06-17 00:18:27.019000 | https://github.com/aimagelab/VKD | 68 | Robust re-identification by multiple views knowledge distillation | https://scholar.google.com/scholar?cluster=5847782043574863283&hl=en&as_sdt=0,22 | 9 | 2,020 |
Defocus Deblurring Using Dual-Pixel Data | 88 | eccv | 18 | 1 | 2023-06-17 00:18:27.233000 | https://github.com/Abdullah-Abuolaim/defocus-deblurring-dual-pixel | 138 | Defocus deblurring using dual-pixel data | https://scholar.google.com/scholar?cluster=5025107258941686870&hl=en&as_sdt=0,33 | 7 | 2,020 |
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks | 23 | eccv | 3 | 3 | 2023-06-17 00:18:27.444000 | https://github.com/gilshm/zap | 0 | Thanks for nothing: Predicting zero-valued activations with lightweight convolutional neural networks | https://scholar.google.com/scholar?cluster=6597464735432470260&hl=en&as_sdt=0,34 | 3 | 2,020 |
Layered Neighborhood Expansion for Incremental Multiple Graph Matching | 5 | eccv | 0 | 0 | 2023-06-17 00:18:27.656000 | https://github.com/fffffarmer/LNE_IMGM | 3 | Layered neighborhood expansion for incremental multiple graph matching | https://scholar.google.com/scholar?cluster=13489924232243333530&hl=en&as_sdt=0,5 | 1 | 2,020 |
SCAN: Learning to Classify Images without Labels | 357 | eccv | 251 | 15 | 2023-06-17 00:18:27.868000 | https://github.com/wvangansbeke/Unsupervised-Classification | 1,200 | Scan: Learning to classify images without labels | https://scholar.google.com/scholar?cluster=12970908709596385976&hl=en&as_sdt=0,6 | 53 | 2,020 |
Graph convolutional networks for learning with few clean and many noisy labels | 16 | eccv | 7 | 1 | 2023-06-17 00:18:28.080000 | https://github.com/google-research/noisy-fewshot-learning | 23 | Graph convolutional networks for learning with few clean and many noisy labels | https://scholar.google.com/scholar?cluster=3928299844756290038&hl=en&as_sdt=0,5 | 5 | 2,020 |
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions | 33 | eccv | 3 | 1 | 2023-06-17 00:18:28.295000 | https://github.com/matheusgadelha/PointCloudLearningACD | 33 | Label-efficient learning on point clouds using approximate convex decompositions | https://scholar.google.com/scholar?cluster=6679535776776128148&hl=en&as_sdt=0,5 | 7 | 2,020 |
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation | 96 | eccv | 8 | 5 | 2023-06-17 00:18:28.520000 | https://github.com/FangyunWei/PointSetAnchor | 81 | Point-set anchors for object detection, instance segmentation and pose estimation | https://scholar.google.com/scholar?cluster=8225197904370189459&hl=en&as_sdt=0,14 | 5 | 2,020 |
Scene Text Image Super-resolution in the wild | 73 | eccv | 68 | 33 | 2023-06-17 00:18:28.732000 | https://github.com/JasonBoy1/TextZoom | 358 | Scene text image super-resolution in the wild | https://scholar.google.com/scholar?cluster=12716484500306157033&hl=en&as_sdt=0,23 | 17 | 2,020 |
Learning Disentangled Representations with Latent Variation Predictability | 22 | eccv | 2 | 0 | 2023-06-17 00:18:28.943000 | https://github.com/zhuxinqimac/stylegan2vp | 12 | Learning disentangled representations with latent variation predictability | https://scholar.google.com/scholar?cluster=17070159104288451181&hl=en&as_sdt=0,18 | 3 | 2,020 |
Deep Space-Time Video Upsampling Networks | 13 | eccv | 2 | 4 | 2023-06-17 00:18:29.155000 | https://github.com/JaeYeonKang/STVUN-Pytorch | 46 | Deep space-time video upsampling networks | https://scholar.google.com/scholar?cluster=727307812790935313&hl=en&as_sdt=0,33 | 9 | 2,020 |
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification | 72 | eccv | 11 | 7 | 2023-06-17 00:18:29.381000 | https://github.com/dvornikita/SUR | 39 | Selecting relevant features from a multi-domain representation for few-shot classification | https://scholar.google.com/scholar?cluster=5482290086183738345&hl=en&as_sdt=0,5 | 4 | 2,020 |
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions | 19 | eccv | 4 | 2 | 2023-06-17 00:18:29.593000 | https://github.com/xh-liu/Open-Edit | 56 | Open-edit: Open-domain image manipulation with open-vocabulary instructions | https://scholar.google.com/scholar?cluster=329234440978181878&hl=en&as_sdt=0,26 | 5 | 2,020 |
Towards Real-Time Multi-Object Tracking | 637 | eccv | 544 | 126 | 2023-06-17 00:18:29.804000 | https://github.com/Zhongdao/Towards-Realtime-MOT | 2,261 | Towards real-time multi-object tracking | https://scholar.google.com/scholar?cluster=7515568945301804297&hl=en&as_sdt=0,22 | 58 | 2,020 |
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation | 78 | eccv | 12 | 0 | 2023-06-17 00:18:30.016000 | https://github.com/tim-learn/BA3US | 36 | A balanced and uncertainty-aware approach for partial domain adaptation | https://scholar.google.com/scholar?cluster=5974367685957311964&hl=en&as_sdt=0,47 | 2 | 2,020 |
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos | 153 | eccv | 26 | 6 | 2023-06-17 00:18:30.228000 | https://github.com/sabarim/STEm-Seg | 145 | Stem-seg: Spatio-temporal embeddings for instance segmentation in videos | https://scholar.google.com/scholar?cluster=16201378227810610737&hl=en&as_sdt=0,29 | 12 | 2,020 |
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop | 67 | eccv | 8 | 2 | 2023-06-17 00:18:30.440000 | https://github.com/benjiebob/WLDO | 34 | Who left the dogs out? 3d animal reconstruction with expectation maximization in the loop | https://scholar.google.com/scholar?cluster=3196992100130211506&hl=en&as_sdt=0,22 | 4 | 2,020 |
Diverse and Admissible Trajectory Prediction through Multimodal Context Understanding | 62 | eccv | 17 | 11 | 2023-06-17 00:18:30.652000 | https://github.com/kami93/CMU-DATF | 65 | Diverse and admissible trajectory forecasting through multimodal context understanding | https://scholar.google.com/scholar?cluster=4331898533787437974&hl=en&as_sdt=0,43 | 7 | 2,020 |
CONFIG: Controllable Neural Face Image Generation | 63 | eccv | 14 | 3 | 2023-06-17 00:18:30.865000 | https://github.com/microsoft/ConfigNet | 102 | Config: Controllable neural face image generation | https://scholar.google.com/scholar?cluster=1580264651872331301&hl=en&as_sdt=0,5 | 15 | 2,020 |
Single View Metrology in the Wild | 29 | eccv | 10 | 5 | 2023-06-17 00:18:31.077000 | https://github.com/Jerrypiglet/ScaleNet | 47 | Single view metrology in the wild | https://scholar.google.com/scholar?cluster=5020261105544637693&hl=en&as_sdt=0,16 | 14 | 2,020 |
Funnel Activation for Visual Recognition | 66 | eccv | 21 | 6 | 2023-06-17 00:18:31.334000 | https://github.com/megvii-model/FunnelAct | 171 | Funnel activation for visual recognition | https://scholar.google.com/scholar?cluster=7314887533256724657&hl=en&as_sdt=0,36 | 9 | 2,020 |
GIQA: Generated Image Quality Assessment | 44 | eccv | 29 | 5 | 2023-06-17 00:18:31.587000 | https://github.com/cientgu/GIQA | 189 | Giqa: Generated image quality assessment | https://scholar.google.com/scholar?cluster=17000009364134963010&hl=en&as_sdt=0,18 | 4 | 2,020 |
Adversarial Continual Learning | 133 | eccv | 29 | 25 | 2023-06-17 00:18:31.800000 | https://github.com/facebookresearch/Adversarial-Continual-Learning | 251 | Adversarial continual learning | https://scholar.google.com/scholar?cluster=17591338544420610570&hl=en&as_sdt=0,5 | 12 | 2,020 |
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