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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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