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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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