yileichen123

yileichen123's Stars

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k13246562

• akanazawa/hmr

  Project page for End-to-end Recovery of Human Shape and Pose

  Language:Python1.5k65159395

• CMU-Perceptual-Computing-Lab/MonocularTotalCapture

  Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

  Language:C++6613662122

• akanazawa/human_dynamics

  Project for paper "Learning 3D Human Dynamics from Video"

  Language:Python630267185

• ma-xu/Context-Cluster

  [ICLR 2023 Oral] Image as Set of Points

  Language:Python537103640

• zczcwh/DL-HPE

  47015139

• IDEA-Research/X-Pose

  [ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"

  Language:Python441212818

• Nicholasli1995/EvoSkeleton

  Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

  Language:Python333125844

• Gengzigang/PCT

  This is an official implementation of our CVPR 2023 paper "Human Pose as Compositional Tokens" (https://arxiv.org/pdf/2303.11638.pdf)

  Language:Python31574321

• Garfield-kh/PoseTriplet

  [CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)

  Language:Python308183525

• davrempe/contact-human-dynamics

  Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".

  Language:Python26972640

• IDEA-Research/HumanArt

  [CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"

  2245114

• bmartacho/UniPose

  We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.

  Language:Python212104444

• wmcnally/golfdb

  GolfDB is a video database for Golf Swing Sequencing, which involves detecting 8 golf swing events in trimmed golf swing videos. This repo demos the baseline model, SwingNet.

  Language:Python199122060

• dyabel/detpro

  Language:Python17154826

• IDEA-Research/ED-Pose

  [ICLR 2023] Official implementation of the paper "Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation "

  Language:Python15232910

• hikvision-research/opera

  A Unified Toolbox for Object Perception & Application

  Language:Python14973713

• rubenvillegas/iclr2017mcnet

  Tensorflow implementation of the ICLR 2017 paper: Decomposing Motion and Content for Natural Video Sequence Prediction

  Language:Python10941434

• jasonyzhang/phd

  Code for ICCV 2019 Paper: "Predicting 3D Human Dynamics from Video"

  Language:Python85557

• IDEA-Research/Click-Pose

  [ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"

  Language:Python70323

• orhir/STG-NF

  Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]

  Language:Python6812511

• ailingzengzzz/Split-and-Recombine-Net

  Code for "SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach" ECCV'20

  Language:Python38573

• wtjiang98/PoseTrans

  code of "PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation" (ECCV 2022)

  Language:Python27336

• likenneth/acton

  Code for paper: Towards Tokenized Human Dynamics Representation

  Language:Jupyter Notebook26302

• yshMars/DistilPose

  Implementation for: DistilPose: Tokenized Pose Regression with Heatmap Distillation (CVPR2023)

  Language:Python233103

• davrempe/MonocularTotalCapture

  Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

  Language:C12101

• NBU-CVMI/LDNet

  Language:Cuda41

• ducongju/IHL

  Language:Python10

• gberta/TimeSformer

  The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

  Language:Python1000

• Hibiscuses/Skeletal-GNN

  Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

  1100