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Stars
[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"
[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
ICCV2023 TUTR: Trajectory Unified Transformer for Pedestrian Trajectory Prediction
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian…
🏀 Visualization of NBA games from raw SportVU data logs
PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
A python package for turning sports video into csv files
Homepage for the National Football League's Big Data Bowl
Implementation of conditional DDPM (classifier-free guidance) for image generation using U-Net based architecture in Python and PyTorch framework
A PyTorch-based repository for training and experimenting with diffusion models on the MNIST dataset. It includes a customizable U-Net model, various neural network blocks, and training scripts wit…
An implementation of Monte Carlo Tree Search in python
General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
Official implementation for "Towards Safe Reinforcement Learning via Constraining Conditional Value at Risk" (IJCAI 2022)
[CVPR'25 - Rating 555] Official PyTorch implementation of Lumos: Learning Visual Generative Priors without Text
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
Implement some reinforcement learning algorithms, test and visualize on Pacman.
Fundamental of AI course which focuses on search, multiagents, mdp and reinforcement learning algorithms.
This project focuses on agent-based modelling, non-cooperative and cooperative games, and sequential decision-making under uncertainty.
Level-based Foraging (LBF): A multi-agent environment for RL
Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork