Grace123's starred repositories
CapeFormer
Official Implementation for "Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation", CVPR 2023.
Click-Pose
[ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"
DistilPose
Implementation for: DistilPose: Tokenized Pose Regression with Heatmap Distillation (CVPR2023)
Awesome-Incremental-Learning
Awesome Incremental Learning
TimeSformer
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
MonocularTotalCapture
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
MonocularTotalCapture
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
contact-human-dynamics
Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
Context-Cluster
[ICLR 2023 Oral] Image as Set of Points
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.
iclr2017mcnet
Tensorflow implementation of the ICLR 2017 paper: Decomposing Motion and Content for Natural Video Sequence Prediction
human_dynamics
Project for paper "Learning 3D Human Dynamics from Video"
PoseTriplet
[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)
EvoSkeleton
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Split-and-Recombine-Net
Code for "SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach" ECCV'20