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National University of Singapore
- Xihu, Hangzhou
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Evaluating Human Motion Generation Models
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
[CVPR 2025] MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
The official implementation of work "AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward".
[ICLR 2025] Pytorch Implementation of "Aligning Motion Generation with Human Perceptions".
Shortest solutions for CS231n 2021-2025
Official code of "RoboOmni: Proactive Robot Manipulation in Omni-modal Context"
A life simulation Game powered by GPT-4's “Advanced Data Analysis” function , offering you a second chance at life. 由GPT4的Advanced Data Analysis功能驱动的人生重来模拟器,给您人生第二春。
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
CV/Resume Overleaf Template for PhD Application
[Arxiv 2024] MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method
[AAAI-2024] Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception, Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang
My solutions and supplemental resources for CS224N in the spring of 2024.
Official repository for "MaskControl: Spatio-Temporal Control for Masked Motion Synthesis" ICCV 2025 (Oral & Award Candidate)
HumanML3D: A large and diverse 3d human motion-language dataset.
DNO: Optimizing Diffusion Noise Can Serve As Universal Motion Priors
[NeurIPS 2025 Spotlight] A Generalist Diffusion Model for Vision Perception
Official code for article "LLMLight: Large Language Models as Traffic Signal Control Agents".
DANP:Domain-Agnostic-Neural_Oil-Painting(Project DIsplay:https://domain-agnostic-neural-oil-painting.github.io/DANP/)