Hi There!

I am Parth Kothari, a second year PhD working at the Visual Intelligence for Transport (VITA) lab at EPFL. I work under the supervision of Prof. Alexandre Alahi, broadly in the field of understanding human motion behavior, with focus on social forecasting in autonomous vehicles. I got my undergraduate degree in Electrical Engineering from (IIT Bombay).

Updates

Apr 2021: gave guest lectures on modelling social interactions and modelling multimodal distributions for human trajectory forecasting for the Deep Learning for Autonomous Vehicles course.
Mar 2021: new paper on interpretable anchor-based method for human trajectory forecasting in crowds accepted to CVPR 2021. More details soon!
Feb 2021: new paper on modelling human social interactions in crowds and describing our TrajNet++ benchmark to appear in IEEE Transactions on Intelligent Transportation Systems. [Code]
Dec 2020: gave a virtual talk on TrajNet++ at The First International Workshop on Deep Learning for Human-Centric Activity Understanding in ICPR 2020.
Aug 2020: gave a virtual talk on benchmarking trajectory forecasting models at the BTFM Workshop at ECCV 2020.
Jun 2020: gave a virtual talk on TrajNet++ at 2nd Workshop on Long-Term Human Motion Prediction in ICRA 2020. Video available here
Apr 2020: started maintaining a list of papers focussed on human trajectory forecasting in crowds. [Link]
Feb 2020: TrajNet++ challenge to appear as challenge track in 2nd Workshop on Long-Term Human Motion Prediction in ICRA 2020.
Jan 2020: gave a talk on "Introducing TrajNet++: Large Scale Human Trajectory Forecasting Benchmark" at Applied Machine Learning Days 2020 at EPFL.
Dec 2019: won 2nd Prize for Best Poster at EDEE Scientific Day for our work on Colaborative Sampling from Generative Adversarial Networks. [Poster]
Nov 2019: new paper on collaborative sampling from generative adversarial networks is accepted to AAAI 2020. [Code]
Nov 2019: cleared the Candidancy Exam.
Oct 2019: first version of TrajNet++, our large-scale trajectory forecasting challenge for Applied Machine Learning Days 2020 is online.
Jun 2019: our lab organized Human-Robot Tandem Race as part of the Deep Learning for Autonomous Vehicles course at EPFL
Apr 2019: new paper on Adversarial loss in human trajectory prediction sampling accepted to hEART 2019
Aug 2018: started my PhD in Electrical Engineering at EPFL
Aug 2018: graduated from IIT Bombay, with Institute Rank 7
Jun 2018: secured 3rd position in the iFood Challenge at CVPR 2018. [Code]
Apr 2018: I will be joining VITA Lab as a PhD candidate, under supervision of Prof. Alexandre Alahi, in Fall 2018