daip13

daip13's Stars

• junjie18/CMT

  [ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

  Language:Python32535

• shaohua-pan/RobustCap

  Code for our SIGGRAPH ASIA 2023 paper "Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture".

  Language:Python12110

• X-PLUG/mPLUG-Owl

  mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

  Language:Python2.2k171

• OpenGVLab/MUTR

  [AAAI 2024] Referred by Multi-Modality: A Unified Temporal Transformers for Video Object Segmentation

  Language:Python615

• hiroyasuakada/3D-Human-Pose-Perception-from-Egocentric-Stereo-Videos

  Inference code of our CVPR 2024 paper, "3D Human Pose Perception from Egocentric Stereo Videos".

  Language:Python133

• Pico-AI-Team/HMD-Poser

  Language:Python191

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python21.4k2.1k

• zju3dv/EasyMocap

  Make human motion capture easier.

  Language:Python3.5k442

• IDEA-Research/Motion-X

  [NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"

  Language:Python51713

• sanweiliti/EgoBody

  Official code and data for EgoBody dataset (2022 ECCV)

  Language:Python1066

• isaac-sim/IsaacGymEnvs

  Isaac Gym Reinforcement Learning Environments

  Language:Python1.9k407

• InterDigitalInc/UnderPressure

  Language:Python537

• ZhengyiLuo/UHC

  Official Implementation of the Universal Humanoid Controller in Mujoco. Supports Kinpoly (NeurIPS 2021) and EmbodiedPose (NeurIPS 2022).

  Language:Python17716

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.3k282

• ctlllll/SGConv

  Language:Jupyter Notebook16320

• microsoft/EfficientLongSequenceModeling

  Language:Python465

• Jeff-sjtu/DnD

  Code for "D&D: Learning Human Dynamics from Dynamic Camera", ECCV 2022 Oral

  Language:Python1104

• daip13/LPC_MOT

  This is the code for the paper "Learning a Proposal Classifier for Multiple Target tracking"

  Language:Python7511

• cbsudux/awesome-human-pose-estimation

  A collection of awesome resources in Human Pose estimation.

  2.4k415

• Xinyu-Yi/TransPose

  A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

  Language:Python37773

• Xinyu-Yi/PIP

  A real-time system that captures physically correct human motion, joint torques, and ground reaction forces with only 6 inertial measurement units

  Language:Python30738

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.5k1.2k

• RuizeHan/DAN4Ass

  Multi-view Multi-Human Association with Deep Assignment Network, IEEE TIP 2022.

  51

• LPMP/LPMP

  Solving LPs with convergent message passing

  Language:C++6322

• TimoK93/ApLift

  Official implementation for: Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

  Language:Python111

• dawnranger/pytorch-AGNN

  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

  Language:Python14528

• PeizeSun/TransTrack

  Multiple Object Tracking with Transformer

  Language:Python619109

• jiaweihe1996/GMTracker

  Official PyTorch implementation of "Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking" (CVPR 2021).

  Language:Python11423

• JialianW/TraDeS

  Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)

  Language:Python553109

• IrvingMeng/MagFace

  MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

  Language:Jupyter Notebook61387