Jingbo 's repositories
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
6-PACK
"6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints" code repository
Anatomy3D
Anatomy-aware 3D Human Pose Estimation in Videos
AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
AutoDL
DeepWisdom's 1'st Solution for AutoDL challenge@NeurIPS. Automated Deep Learning without ANY human intervention. Generic algorithms for multi-label classification problems in different modalities: image, video, speech, text and tabular data.
awesome-holistic-3d
A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision
D4LCN
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection"
deephar
Deep human action recognition and pose estimation
Det3D
A general purpose 3D object detection codebse.
DILATE
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GANet
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
GCN-NAS
Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020
HigherHRNet-Human-Pose-Estimation
Higher-Resolution Networks (HigherHRNets) for Human Pose Estimation
jsis3d
Joint Semantic-Instance Segmentation of 3D Point Clouds (CVPR 2019)
mmdetection
RGBD instance segmentation
multiperson
Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20
NASA.pytorch
PyTorch implementation of "NASA: Neural Articulated Shape Approximation"
panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
PSI-release
official implementation of CVPR'20 oral paper: Generating 3D People in Scenes without People.: https://ps.is.tuebingen.mpg.de/publications/smpl-x-conditional-vae-prox-scene-constraints
pyrender
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
pytorch-memonger
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
SDN
[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Spherical_Regression
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.