Xglieka's repositories

Language:PythonStargazers:1Issues:3Issues:0
Language:Jupyter NotebookStargazers:1Issues:0Issues:0

AgentFormer

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

audio_visual_speech_enhancement

Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments

Language:PythonStargazers:0Issues:0Issues:0

bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

Language:PythonStargazers:0Issues:0Issues:0
Language:CStargazers:0Issues:1Issues:0

DynMORL

Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Language:PythonStargazers:0Issues:0Issues:0

google-research

Google Research

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

magenta

Magenta: Music and Art Generation with Machine Intelligence

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

MORL

Multi-Objective Reinforcement Learning

Language:PythonStargazers:0Issues:0Issues:0

panoptic-forecasting

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Stargazers:0Issues:1Issues:0

Pedestron

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

PIEPredict

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

psf-diffattn

Code accompanying the paper "Joint Forecasting of Panoptic Segmentations with Difference Attention"

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0

tad-IROS2019

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Trajectory-Transformer

Code for "Transformer Networks for Trajectory Forecasting"

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0