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SUPR: A Sparse Unified Part-Based Human Representation | 5 | eccv | 9 | 2 | 2023-06-17 00:57:25.019000 | https://github.com/ahmedosman/SUPR | 136 | SUPR: A Sparse Unified Part-Based Human Representation | https://scholar.google.com/scholar?cluster=8886858805057775138&hl=en&as_sdt=0,5 | 12 | 2,022 |
Masked Autoencoders for Point Cloud Self-Supervised Learning | 106 | eccv | 42 | 2 | 2023-06-17 00:57:25.224000 | https://github.com/Pang-Yatian/Point-MAE | 278 | Masked autoencoders for point cloud self-supervised learning | https://scholar.google.com/scholar?cluster=1930827783125608869&hl=en&as_sdt=0,5 | 4 | 2,022 |
Intrinsic Neural Fields: Learning Functions on Manifolds | 5 | eccv | 4 | 0 | 2023-06-17 00:57:25.428000 | https://github.com/tum-vision/intrinsic-neural-fields | 52 | Intrinsic neural fields: Learning functions on manifolds | https://scholar.google.com/scholar?cluster=2662864297016084318&hl=en&as_sdt=0,33 | 20 | 2,022 |
Masked Discrimination for Self-Supervised Learning on Point Clouds | 47 | eccv | 4 | 5 | 2023-06-17 00:57:25.630000 | https://github.com/haotian-liu/maskpoint | 71 | Masked discrimination for self-supervised learning on point clouds | https://scholar.google.com/scholar?cluster=12182702384297284737&hl=en&as_sdt=0,5 | 8 | 2,022 |
FBNet: Feedback Network for Point Cloud Completion | 7 | eccv | 4 | 1 | 2023-06-17 00:57:25.831000 | https://github.com/hikvision-research/3dvision | 28 | Fbnet: Feedback network for point cloud completion | https://scholar.google.com/scholar?cluster=15376589595507047229&hl=en&as_sdt=0,5 | 2 | 2,022 |
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds | 3 | eccv | 1 | 2 | 2023-06-17 00:57:26.036000 | https://github.com/ttchengab/MetaSampler | 13 | Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds | https://scholar.google.com/scholar?cluster=9621087449893968006&hl=en&as_sdt=0,30 | 4 | 2,022 |
Unsupervised Deep Multi-Shape Matching | 5 | eccv | 1 | 0 | 2023-06-17 00:57:26.249000 | https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching | 12 | Unsupervised deep multi-shape matching | https://scholar.google.com/scholar?cluster=2258105310484871583&hl=en&as_sdt=0,5 | 1 | 2,022 |
Autoregressive 3D Shape Generation via Canonical Mapping | 8 | eccv | 0 | 2 | 2023-06-17 00:57:26.460000 | https://github.com/AnjieCheng/CanonicalVAE | 23 | Autoregressive 3d shape generation via canonical mapping | https://scholar.google.com/scholar?cluster=10300347603534381674&hl=en&as_sdt=0,31 | 2 | 2,022 |
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees | 1 | eccv | 1 | 0 | 2023-06-17 00:57:26.663000 | https://github.com/immortalco/pointtree | 8 | PointTree: Transformation-Robust Point Cloud Encoder with Relaxed KD Trees | https://scholar.google.com/scholar?cluster=4268756852138321840&hl=en&as_sdt=0,29 | 1 | 2,022 |
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation | 3 | eccv | 3 | 1 | 2023-06-17 00:57:26.864000 | https://github.com/ShenhanQian/UNIF | 66 | UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation | https://scholar.google.com/scholar?cluster=2142114971680111949&hl=en&as_sdt=0,5 | 7 | 2,022 |
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes | 9 | eccv | 5 | 0 | 2023-06-17 00:57:27.089000 | https://github.com/postech-ami/CLIP-Actor | 82 | Clip-actor: Text-driven recommendation and stylization for animating human meshes | https://scholar.google.com/scholar?cluster=10210526328486613159&hl=en&as_sdt=0,33 | 7 | 2,022 |
PlaneFormers: From Sparse View Planes to 3D Reconstruction | 4 | eccv | 3 | 0 | 2023-06-17 00:57:27.289000 | https://github.com/samiragarwala/PlaneFormers | 73 | Planeformers: From sparse view planes to 3d reconstruction | https://scholar.google.com/scholar?cluster=2688342752520377982&hl=en&as_sdt=0,18 | 5 | 2,022 |
Learning Implicit Templates for Point-Based Clothed Human Modeling | 13 | eccv | 3 | 0 | 2023-06-17 00:57:27.490000 | https://github.com/jsnln/fite | 67 | Learning implicit templates for point-based clothed human modeling | https://scholar.google.com/scholar?cluster=17460087153194567520&hl=en&as_sdt=0,5 | 7 | 2,022 |
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks | 6 | eccv | 2 | 1 | 2023-06-17 00:57:27.691000 | https://github.com/woodwindhu/gsda | 5 | Exploring the devil in graph spectral domain for 3d point cloud attacks | https://scholar.google.com/scholar?cluster=9921547500919664228&hl=en&as_sdt=0,21 | 2 | 2,022 |
Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation | 1 | eccv | 11 | 0 | 2023-06-17 00:57:27.932000 | https://github.com/gerwang/facial-detail-manipulation | 67 | Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation | https://scholar.google.com/scholar?cluster=1298202785476030620&hl=en&as_sdt=0,5 | 4 | 2,022 |
MoFaNeRF: Morphable Facial Neural Radiance Field | 30 | eccv | 11 | 3 | 2023-06-17 00:57:28.140000 | https://github.com/zhuhao-nju/mofanerf | 183 | Mofanerf: Morphable facial neural radiance field | https://scholar.google.com/scholar?cluster=11013901120864523250&hl=en&as_sdt=0,14 | 16 | 2,022 |
Latent Partition Implicit with Surface Codes for 3D Representation | 6 | eccv | 2 | 1 | 2023-06-17 00:57:28.341000 | https://github.com/chenchao15/lpi | 37 | Latent partition implicit with surface codes for 3D representation | https://scholar.google.com/scholar?cluster=7402497927008564242&hl=en&as_sdt=0,5 | 3 | 2,022 |
Implicit Field Supervision for Robust Non-rigid Shape Matching | 7 | eccv | 3 | 2 | 2023-06-17 00:57:28.542000 | https://github.com/Sentient07/IFMatch | 18 | Implicit field supervision for robust non-rigid shape matching | https://scholar.google.com/scholar?cluster=3506066397456846278&hl=en&as_sdt=0,5 | 4 | 2,022 |
Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks | 1 | eccv | 2 | 1 | 2023-06-17 00:57:28.742000 | https://github.com/astaka-pe/Dual-DMP | 19 | Learning Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks | https://scholar.google.com/scholar?cluster=9504083230858882624&hl=en&as_sdt=0,5 | 2 | 2,022 |
diffConv: Analyzing Irregular Point Clouds with an Irregular View | 6 | eccv | 3 | 3 | 2023-06-17 00:57:28.944000 | https://github.com/mmmmimic/diffconvnet | 21 | DiffConv: Analyzing irregular point clouds with an irregular view | https://scholar.google.com/scholar?cluster=393848593776804929&hl=en&as_sdt=0,5 | 2 | 2,022 |
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows | 4 | eccv | 1 | 2 | 2023-06-17 00:57:29.145000 | https://github.com/unknownue/pdflow | 9 | PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows | https://scholar.google.com/scholar?cluster=15885388352736608557&hl=en&as_sdt=0,5 | 1 | 2,022 |
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer | 15 | eccv | 5 | 6 | 2023-06-17 00:57:29.346000 | https://github.com/hrzhou2/seedformer | 33 | Seedformer: Patch seeds based point cloud completion with upsample transformer | https://scholar.google.com/scholar?cluster=7575370354960015148&hl=en&as_sdt=0,10 | 1 | 2,022 |
DeepMend: Learning Occupancy Functions to Represent Shape for Repair | 3 | eccv | 1 | 0 | 2023-06-17 00:57:29.547000 | https://github.com/terascale-all-sensing-research-studio/deepmend | 1 | DeepMend: Learning Occupancy Functions to Represent Shape for Repair | https://scholar.google.com/scholar?cluster=1042731795533077804&hl=en&as_sdt=0,23 | 1 | 2,022 |
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation | 1 | eccv | 2 | 2 | 2023-06-17 00:57:29.748000 | https://github.com/gitbosun/patchrd | 35 | PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation | https://scholar.google.com/scholar?cluster=17474715912278904592&hl=en&as_sdt=0,10 | 1 | 2,022 |
3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds | 0 | eccv | 0 | 0 | 2023-06-17 00:57:29.948000 | https://github.com/cristal-3dsam/humancomparisonvarifolds | 2 | 3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds | https://scholar.google.com/scholar?cluster=8763719126845192005&hl=en&as_sdt=0,11 | 2 | 2,022 |
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | 6 | eccv | 0 | 1 | 2023-06-17 00:57:30.150000 | https://github.com/poetrywanderer/CF-NeRF | 19 | Conditional-flow nerf: Accurate 3d modelling with reliable uncertainty quantification | https://scholar.google.com/scholar?cluster=1148213789849009262&hl=en&as_sdt=0,36 | 1 | 2,022 |
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks | 17 | eccv | 5 | 1 | 2023-06-17 00:57:30.355000 | https://github.com/cvlab-epfl/MeshUDF | 83 | Meshudf: Fast and differentiable meshing of unsigned distance field networks | https://scholar.google.com/scholar?cluster=16628800077487592270&hl=en&as_sdt=0,44 | 6 | 2,022 |
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement | 4 | eccv | 1 | 0 | 2023-06-17 00:57:30.556000 | https://github.com/zhaofanqiu/spe-net | 9 | SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement | https://scholar.google.com/scholar?cluster=13702422451721758488&hl=en&as_sdt=0,5 | 2 | 2,022 |
Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition | 2 | eccv | 4 | 1 | 2023-06-17 00:57:30.756000 | https://github.com/martinxm/tps | 31 | Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition | https://scholar.google.com/scholar?cluster=36515183332580910&hl=en&as_sdt=0,10 | 2 | 2,022 |
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning | 12 | eccv | 1 | 0 | 2023-06-17 00:57:30.957000 | https://github.com/sauradip/tags | 15 | Proposal-free temporal action detection via global segmentation mask learning | https://scholar.google.com/scholar?cluster=4536094047690638464&hl=en&as_sdt=0,50 | 2 | 2,022 |
Semi-Supervised Temporal Action Detection with Proposal-Free Masking | 9 | eccv | 0 | 3 | 2023-06-17 00:57:31.158000 | https://github.com/sauradip/spot | 16 | Semi-supervised temporal action detection with proposal-free masking | https://scholar.google.com/scholar?cluster=15456971806325450236&hl=en&as_sdt=0,5 | 2 | 2,022 |
Zero-Shot Temporal Action Detection via Vision-Language Prompting | 16 | eccv | 3 | 2 | 2023-06-17 00:57:31.359000 | https://github.com/sauradip/stale | 59 | Zero-shot temporal action detection via vision-language prompting | https://scholar.google.com/scholar?cluster=527701684105539342&hl=en&as_sdt=0,5 | 3 | 2,022 |
CMD: Self-Supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation | 6 | eccv | 2 | 0 | 2023-06-17 00:57:31.560000 | https://github.com/maoyunyao/cmd | 27 | CMD: Self-supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation | https://scholar.google.com/scholar?cluster=11605602306928244319&hl=en&as_sdt=0,5 | 2 | 2,022 |
Target-Absent Human Attention | 3 | eccv | 0 | 0 | 2023-06-17 00:57:31.760000 | https://github.com/cvlab-stonybrook/target-absent-human-attention | 11 | Characterizing target-absent human attention | https://scholar.google.com/scholar?cluster=10071954187705138925&hl=en&as_sdt=0,50 | 4 | 2,022 |
Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions | 2 | eccv | 0 | 0 | 2023-06-17 00:57:31.973000 | https://github.com/KevinQian97/JigsawNet | 3 | Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions | https://scholar.google.com/scholar?cluster=2220139708304842514&hl=en&as_sdt=0,5 | 2 | 2,022 |
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection | 12 | eccv | 3 | 2 | 2023-06-17 00:57:32.173000 | https://github.com/enlighten0707/body-part-map-for-interactiveness | 29 | Mining cross-person cues for body-part interactiveness learning in hoi detection | https://scholar.google.com/scholar?cluster=10497932793088743320&hl=en&as_sdt=0,5 | 3 | 2,022 |
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition | 1 | eccv | 1 | 1 | 2023-06-17 00:57:32.374000 | https://github.com/canbaoburen/CoDT | 13 | Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-domain 3D Action Recognition | https://scholar.google.com/scholar?cluster=10225688823418071762&hl=en&as_sdt=0,11 | 1 | 2,022 |
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning | 9 | eccv | 0 | 1 | 2023-06-17 00:57:32.578000 | https://github.com/boeun-kim/gl-transformer | 13 | Global-local motion transformer for unsupervised skeleton-based action learning | https://scholar.google.com/scholar?cluster=17774826768245810824&hl=en&as_sdt=0,5 | 3 | 2,022 |
Panoramic Human Activity Recognition | 5 | eccv | 2 | 4 | 2023-06-17 00:57:32.779000 | https://github.com/ruizehan/par | 7 | Panoramic Human Activity Recognition | https://scholar.google.com/scholar?cluster=11423361027178413669&hl=en&as_sdt=0,34 | 1 | 2,022 |
Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos | 8 | eccv | 4 | 1 | 2023-06-17 00:57:32.979000 | https://github.com/LukasHedegaard/co3d | 34 | Continual 3d convolutional neural networks for real-time processing of videos | https://scholar.google.com/scholar?cluster=13799294401691207740&hl=en&as_sdt=0,33 | 4 | 2,022 |
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos | 1 | eccv | 3 | 4 | 2023-06-17 00:57:33.180000 | https://github.com/tanqiu98/2g-gcn | 16 | Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos | https://scholar.google.com/scholar?cluster=2114065171244515340&hl=en&as_sdt=0,14 | 2 | 2,022 |
ActionFormer: Localizing Moments of Actions with Transformers | 84 | eccv | 52 | 5 | 2023-06-17 00:57:33.382000 | https://github.com/happyharrycn/actionformer_release | 277 | Actionformer: Localizing moments of actions with transformers | https://scholar.google.com/scholar?cluster=7487171131395966182&hl=en&as_sdt=0,5 | 10 | 2,022 |
SocialVAE: Human Trajectory Prediction Using Timewise Latents | 5 | eccv | 7 | 2 | 2023-06-17 00:57:33.583000 | https://github.com/xupei0610/socialvae | 31 | SocialVAE: Human Trajectory Prediction Using Timewise Latents | https://scholar.google.com/scholar?cluster=4896268270487715536&hl=en&as_sdt=0,34 | 4 | 2,022 |
Frequency Domain Model Augmentation for Adversarial Attack | 14 | eccv | 7 | 6 | 2023-06-17 00:57:33.785000 | https://github.com/yuyang-long/ssa | 53 | Frequency domain model augmentation for adversarial attack | https://scholar.google.com/scholar?cluster=12898376323990903198&hl=en&as_sdt=0,43 | 1 | 2,022 |
Prior-Guided Adversarial Initialization for Fast Adversarial Training | 6 | eccv | 0 | 0 | 2023-06-17 00:57:33.985000 | https://github.com/jiaxiaojunqaq/fgsm-pgi | 13 | Prior-Guided Adversarial Initialization for Fast Adversarial Training | https://scholar.google.com/scholar?cluster=8105589211471914161&hl=en&as_sdt=0,39 | 1 | 2,022 |
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity | 5 | eccv | 0 | 0 | 2023-06-17 00:57:34.187000 | https://github.com/framartin/lgv-geometric-transferability | 10 | Lgv: Boosting adversarial example transferability from large geometric vicinity | https://scholar.google.com/scholar?cluster=14789124225346899125&hl=en&as_sdt=0,34 | 2 | 2,022 |
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN | 2 | eccv | 0 | 0 | 2023-06-17 00:57:34.387000 | https://github.com/huyvnphan/eccv2022-ribac | 6 | RIBAC: Towards R obust and I mperceptible B ackdoor A ttack against C ompact DNN | https://scholar.google.com/scholar?cluster=11495724105477568975&hl=en&as_sdt=0,6 | 1 | 2,022 |
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks | 9 | eccv | 2 | 0 | 2023-06-17 00:57:34.588000 | https://github.com/shawnxyang/c-gsp | 8 | Boosting transferability of targeted adversarial examples via hierarchical generative networks | https://scholar.google.com/scholar?cluster=10602808788122937052&hl=en&as_sdt=0,34 | 1 | 2,022 |
Adaptive Image Transformations for Transfer-Based Adversarial Attack | 3 | eccv | 0 | 0 | 2023-06-17 00:57:34.789000 | https://github.com/huitailangyz/AITL | 7 | Adaptive image transformations for transfer-based adversarial attack | https://scholar.google.com/scholar?cluster=15908074203089075638&hl=en&as_sdt=0,21 | 2 | 2,022 |
Generative Multiplane Images: Making a 2D GAN 3D-Aware | 37 | eccv | 32 | 0 | 2023-06-17 00:57:34.989000 | https://github.com/apple/ml-gmpi | 314 | Generative multiplane images: Making a 2d gan 3d-aware | https://scholar.google.com/scholar?cluster=18092775067843669717&hl=en&as_sdt=0,10 | 19 | 2,022 |
Adversarial Contrastive Learning via Asymmetric InfoNCE | 5 | eccv | 2 | 1 | 2023-06-17 00:57:35.191000 | https://github.com/yqy2001/a-infonce | 21 | Adversarial Contrastive Learning via Asymmetric InfoNCE | https://scholar.google.com/scholar?cluster=628233938244691050&hl=en&as_sdt=0,5 | 1 | 2,022 |
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips | 7 | eccv | 0 | 0 | 2023-06-17 00:57:35.392000 | https://github.com/jiawangbai/hpt | 5 | Hardly perceptible trojan attack against neural networks with bit flips | https://scholar.google.com/scholar?cluster=18095628461225888770&hl=en&as_sdt=0,14 | 1 | 2,022 |
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination | 0 | eccv | 2 | 0 | 2023-06-17 00:57:35.593000 | https://github.com/ai-secure/secretgen | 4 | SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination | https://scholar.google.com/scholar?cluster=1331126147127525036&hl=en&as_sdt=0,14 | 1 | 2,022 |
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack | 7 | eccv | 1 | 0 | 2023-06-17 00:57:35.794000 | https://github.com/xiaosen-wang/TA | 12 | Triangle Attack: A Query-efficient Decision-based Adversarial Attack | https://scholar.google.com/scholar?cluster=3041401228170753203&hl=en&as_sdt=0,3 | 2 | 2,022 |
Data-Free Backdoor Removal Based on Channel Lipschitzness | 17 | eccv | 2 | 2 | 2023-06-17 00:57:35.995000 | https://github.com/rkteddy/channel-lipschitzness-based-pruning | 15 | Data-free backdoor removal based on channel lipschitzness | https://scholar.google.com/scholar?cluster=33210889481511629&hl=en&as_sdt=0,21 | 2 | 2,022 |
Learning Energy-Based Models with Adversarial Training | 4 | eccv | 0 | 0 | 2023-06-17 00:57:36.196000 | https://github.com/xuwangyin/at-ebms | 6 | Learning Energy-Based Models with Adversarial Training | https://scholar.google.com/scholar?cluster=18142164853867043088&hl=en&as_sdt=0,34 | 1 | 2,022 |
Scaling Adversarial Training to Large Perturbation Bounds | 2 | eccv | 3 | 0 | 2023-06-17 00:57:36.396000 | https://github.com/val-iisc/oaat | 8 | Scaling adversarial training to large perturbation bounds | https://scholar.google.com/scholar?cluster=14820331195628342236&hl=en&as_sdt=0,5 | 13 | 2,022 |
GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality | 8 | eccv | 107 | 8 | 2023-06-17 00:57:36.597000 | https://github.com/shiqiyu/opengait | 438 | Gaitedge: Beyond plain end-to-end gait recognition for better practicality | https://scholar.google.com/scholar?cluster=5245467385820312428&hl=en&as_sdt=0,5 | 14 | 2,022 |
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation | 7 | eccv | 1 | 2 | 2023-06-17 00:57:36.798000 | https://github.com/howiema/ppt | 52 | PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation | https://scholar.google.com/scholar?cluster=6476546859896511825&hl=en&as_sdt=0,49 | 5 | 2,022 |
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing | 19 | eccv | 30 | 9 | 2023-06-17 00:57:37 | https://github.com/eth-siplab/avatarposer | 223 | Avatarposer: Articulated full-body pose tracking from sparse motion sensing | https://scholar.google.com/scholar?cluster=16858268099371784430&hl=en&as_sdt=0,11 | 8 | 2,022 |
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation | 24 | eccv | 7 | 4 | 2023-06-17 00:57:37.202000 | https://github.com/patrick-swk/p-stmo | 98 | P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation | https://scholar.google.com/scholar?cluster=12642433651443655449&hl=en&as_sdt=0,10 | 4 | 2,022 |
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images | 4 | eccv | 1 | 1 | 2023-06-17 00:57:37.402000 | https://github.com/deyingk/personalizedhandmeshestimation | 37 | Identity-aware hand mesh estimation and personalization from rgb images | https://scholar.google.com/scholar?cluster=5413140731462313512&hl=en&as_sdt=0,29 | 4 | 2,022 |
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos | 18 | eccv | 30 | 7 | 2023-06-17 00:57:37.604000 | https://github.com/cure-lab/SmoothNet | 246 | Smoothnet: a plug-and-play network for refining human poses in videos | https://scholar.google.com/scholar?cluster=11316350526053073372&hl=en&as_sdt=0,43 | 8 | 2,022 |
PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation | 4 | eccv | 5 | 2 | 2023-06-17 00:57:37.805000 | https://github.com/wtjiang98/PoseTrans | 23 | PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation | https://scholar.google.com/scholar?cluster=12483746133349158288&hl=en&as_sdt=0,33 | 3 | 2,022 |
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement | 1 | eccv | 1 | 2 | 2023-06-17 00:57:38.006000 | https://github.com/JunukCha/MultiPerson | 22 | Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement | https://scholar.google.com/scholar?cluster=6567556122546532858&hl=en&as_sdt=0,5 | 2 | 2,022 |
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction | 8 | eccv | 0 | 3 | 2023-06-17 00:57:38.207000 | https://github.com/mediabrain-sjtu/spgsn | 22 | Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction | https://scholar.google.com/scholar?cluster=15843102193534311743&hl=en&as_sdt=0,5 | 0 | 2,022 |
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation | 25 | eccv | 97 | 25 | 2023-06-17 00:57:38.407000 | https://github.com/wmcnally/kapao | 715 | Rethinking keypoint representations: Modeling keypoints and poses as objects for multi-person human pose estimation | https://scholar.google.com/scholar?cluster=16749039856030657986&hl=en&as_sdt=0,44 | 29 | 2,022 |
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data | 3 | eccv | 5 | 5 | 2023-06-17 00:57:38.608000 | https://github.com/wkom/virtualpose | 45 | VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data | https://scholar.google.com/scholar?cluster=71283295073595497&hl=en&as_sdt=0,5 | 3 | 2,022 |
Poseur: Direct Human Pose Regression with Transformers | 17 | eccv | 7 | 7 | 2023-06-17 00:57:38.808000 | https://github.com/aim-uofa/poseur | 145 | Poseur: Direct human pose regression with transformers | https://scholar.google.com/scholar?cluster=4496289664508565629&hl=en&as_sdt=0,43 | 5 | 2,022 |
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation | 7 | eccv | 26 | 6 | 2023-06-17 00:57:39.008000 | https://github.com/leeyegy/SimDR | 251 | SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation | https://scholar.google.com/scholar?cluster=4470404114148827932&hl=en&as_sdt=0,16 | 14 | 2,022 |
A Visual Navigation Perspective for Category-Level Object Pose Estimation | 2 | eccv | 2 | 0 | 2023-06-17 00:57:39.210000 | https://github.com/wrld/visual_navigation_pose_estimation | 15 | A Visual Navigation Perspective for Category-Level Object Pose Estimation | https://scholar.google.com/scholar?cluster=11892425265605942498&hl=en&as_sdt=0,44 | 1 | 2,022 |
Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection | 4 | eccv | 14 | 13 | 2023-06-17 00:57:39.411000 | https://github.com/AlvinYH/Faster-VoxelPose | 95 | Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection | https://scholar.google.com/scholar?cluster=7142039322976043909&hl=en&as_sdt=0,43 | 4 | 2,022 |
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices | 10 | eccv | 5 | 0 | 2023-06-17 00:57:39.612000 | https://github.com/sanweiliti/EgoBody | 87 | Egobody: Human body shape and motion of interacting people from head-mounted devices | https://scholar.google.com/scholar?cluster=322231768564187058&hl=en&as_sdt=0,43 | 5 | 2,022 |
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling | 2 | eccv | 7 | 2 | 2023-06-17 00:57:39.813000 | https://github.com/facebookresearch/AutoAvatar | 88 | AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling | https://scholar.google.com/scholar?cluster=6069010176145974454&hl=en&as_sdt=0,10 | 8 | 2,022 |
Compositional Human-Scene Interaction Synthesis with Semantic Control | 9 | eccv | 1 | 2 | 2023-06-17 00:57:40.014000 | https://github.com/zkf1997/coins | 68 | Compositional human-scene interaction synthesis with semantic control | https://scholar.google.com/scholar?cluster=12000647280814946947&hl=en&as_sdt=0,5 | 3 | 2,022 |
PressureVision: Estimating Hand Pressure from a Single RGB Image | 7 | eccv | 3 | 1 | 2023-06-17 00:57:40.216000 | https://github.com/facebookresearch/pressurevision | 39 | PressureVision: estimating hand pressure from a single RGB image | https://scholar.google.com/scholar?cluster=4229274287212206785&hl=en&as_sdt=0,33 | 4 | 2,022 |
PoseScript: 3D Human Poses from Natural Language | 3 | eccv | 6 | 0 | 2023-06-17 00:57:40.416000 | https://github.com/naver/posescript | 34 | PoseScript: 3D human poses from natural language | https://scholar.google.com/scholar?cluster=17752287259042800944&hl=en&as_sdt=0,5 | 4 | 2,022 |
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation | 2 | eccv | 1 | 0 | 2023-06-17 00:57:40.616000 | https://github.com/parkjaewoo0611/dprost | 18 | DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation | https://scholar.google.com/scholar?cluster=1007618959505418426&hl=en&as_sdt=0,44 | 3 | 2,022 |
3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal | 8 | eccv | 3 | 7 | 2023-06-17 00:57:40.823000 | https://github.com/menghao666/hdr | 80 | 3d interacting hand pose estimation by hand de-occlusion and removal | https://scholar.google.com/scholar?cluster=13548206922495205714&hl=en&as_sdt=0,21 | 5 | 2,022 |
Pose for Everything: Towards Category-Agnostic Pose Estimation | 5 | eccv | 9 | 9 | 2023-06-17 00:57:41.024000 | https://github.com/luminxu/pose-for-everything | 134 | Pose for Everything: Towards Category-Agnostic Pose Estimation | https://scholar.google.com/scholar?cluster=6520324621700578272&hl=en&as_sdt=0,5 | 6 | 2,022 |
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting | 9 | eccv | 2 | 5 | 2023-06-17 00:57:41.225000 | https://github.com/naver/posegpt | 73 | PoseGPT: quantization-based 3D human motion generation and forecasting | https://scholar.google.com/scholar?cluster=15865183864728633901&hl=en&as_sdt=0,46 | 8 | 2,022 |
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation | 2 | eccv | 3 | 2 | 2023-06-17 00:57:41.425000 | https://github.com/hlz0606/dh-aug-dh-forward-kinematics-model-driven-augmentation-for-3d-human-pose-estimation | 10 | DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation | https://scholar.google.com/scholar?cluster=13862822843071497700&hl=en&as_sdt=0,7 | 2 | 2,022 |
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization | 5 | eccv | 1 | 2 | 2023-06-17 00:57:41.626000 | https://github.com/bbaaii/SSC-Net | 4 | Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization | https://scholar.google.com/scholar?cluster=11925936575946795440&hl=en&as_sdt=0,5 | 1 | 2,022 |
FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling | 24 | eccv | 16 | 1 | 2023-06-17 00:57:41.827000 | https://github.com/timothyhtimothy/fast-vqa | 141 | Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling | https://scholar.google.com/scholar?cluster=12307408620730287451&hl=en&as_sdt=0,5 | 4 | 2,022 |
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark | 17 | eccv | 23 | 4 | 2023-06-17 00:57:42.027000 | https://github.com/sczhou/LEDNet | 140 | Lednet: Joint low-light enhancement and deblurring in the dark | https://scholar.google.com/scholar?cluster=13623245822389002080&hl=en&as_sdt=0,33 | 16 | 2,022 |
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects | 2 | eccv | 0 | 1 | 2023-06-17 00:57:42.231000 | https://github.com/juewenpeng/mpib | 23 | MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects | https://scholar.google.com/scholar?cluster=13330152317586129115&hl=en&as_sdt=0,5 | 2 | 2,022 |
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset | 2 | eccv | 1 | 1 | 2023-06-17 00:57:42.433000 | https://github.com/zmzhang1998/Real-RawVSR | 34 | Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset | https://scholar.google.com/scholar?cluster=5937904494731616048&hl=en&as_sdt=0,5 | 2 | 2,022 |
Seeing Far in the Dark with Patterned Flash | 0 | eccv | 1 | 0 | 2023-06-17 00:57:42.634000 | https://github.com/zhsun0357/seeing-far-in-the-dark-with-patterned-flash | 8 | Seeing Far in the Dark with Patterned Flash | https://scholar.google.com/scholar?cluster=10162340593045720499&hl=en&as_sdt=0,5 | 1 | 2,022 |
Simple Baselines for Image Restoration | 157 | eccv | 158 | 71 | 2023-06-17 00:57:42.835000 | https://github.com/megvii-research/NAFNet | 1,342 | Simple baselines for image restoration | https://scholar.google.com/scholar?cluster=498268664873674535&hl=en&as_sdt=0,5 | 15 | 2,022 |
Improving Image Restoration by Revisiting Global Information Aggregation | 28 | eccv | 7 | 20 | 2023-06-17 00:57:43.036000 | https://github.com/megvii-research/TLC | 166 | Improving image restoration by revisiting global information aggregation | https://scholar.google.com/scholar?cluster=7561375020407203939&hl=en&as_sdt=0,3 | 8 | 2,022 |
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration | 4 | eccv | 4 | 0 | 2023-06-17 00:57:43.236000 | https://github.com/zhaoyuzhi/d2hnet | 58 | D2hnet: Joint denoising and deblurring with hierarchical network for robust night image restoration | https://scholar.google.com/scholar?cluster=3617342913437815225&hl=en&as_sdt=0,5 | 4 | 2,022 |
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images | 1 | eccv | 0 | 0 | 2023-06-17 00:57:43.436000 | https://github.com/ashisht96/DeepPS2 | 8 | DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images | https://scholar.google.com/scholar?cluster=7668487739080870942&hl=en&as_sdt=0,14 | 4 | 2,022 |
Synthesizing Light Field Video from Monocular Video | 0 | eccv | 0 | 1 | 2023-06-17 00:57:43.638000 | https://github.com/ShrisudhanG/Synthesizing-Light-Field-Video-from-Monocular-Video | 3 | Synthesizing Light Field Video from Monocular Video | https://scholar.google.com/scholar?cluster=9388719208065902803&hl=en&as_sdt=0,5 | 1 | 2,022 |
Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features | 2 | eccv | 5 | 0 | 2023-06-17 00:57:43.839000 | https://github.com/bcmi/human-centric-image-cropping | 10 | Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features | https://scholar.google.com/scholar?cluster=4878843444912019256&hl=en&as_sdt=0,5 | 8 | 2,022 |
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting | 9 | eccv | 7 | 2 | 2023-06-17 00:57:44.040000 | https://github.com/JihyongOh/DeMFI | 69 | DeMFI: deep joint deblurring and multi-frame interpolation with flow-guided attentive correlation and recursive boosting | https://scholar.google.com/scholar?cluster=18298194846292120570&hl=en&as_sdt=0,5 | 5 | 2,022 |
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion | 5 | eccv | 3 | 0 | 2023-06-17 00:57:44.241000 | https://github.com/zzh-tech/dual-reversed-rs | 47 | Bringing rolling shutter images alive with dual reversed distortion | https://scholar.google.com/scholar?cluster=6745803359164856896&hl=en&as_sdt=0,48 | 1 | 2,022 |
FILM: Frame Interpolation for Large Motion | 31 | eccv | 209 | 3 | 2023-06-17 00:57:44.441000 | https://github.com/google-research/frame-interpolation | 2,122 | Film: Frame interpolation for large motion | https://scholar.google.com/scholar?cluster=8008670965170343058&hl=en&as_sdt=0,10 | 39 | 2,022 |
EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls | 2 | eccv | 0 | 0 | 2023-06-17 00:57:44.642000 | https://github.com/daniilidis-group/EvAC3D | 0 | EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls | https://scholar.google.com/scholar?cluster=12241189082888588279&hl=en&as_sdt=0,22 | 3 | 2,022 |
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization | 13 | eccv | 5 | 1 | 2023-06-17 00:57:44.842000 | https://github.com/rockeyben/dccf | 34 | Dccf: Deep comprehensible color filter learning framework for high-resolution image harmonization | https://scholar.google.com/scholar?cluster=11763509766953763439&hl=en&as_sdt=0,22 | 4 | 2,022 |
SelectionConv: Convolutional Neural Networks for Non-Rectilinear Image Data | 1 | eccv | 0 | 0 | 2023-06-17 00:57:45.044000 | https://github.com/davidmhart/SelectionConv | 3 | SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data | https://scholar.google.com/scholar?cluster=7959148085712092506&hl=en&as_sdt=0,44 | 2 | 2,022 |
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