3 papers
cs.CV2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
Parth Kothari, Brian Sifringer, Alexandre Alahi
Human trajectory forecasting in crowds, at its core, is a sequence prediction problem with specific challenges of capturing inter-sequence dependencies (social interactions) and co…
cs.CV2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Parth Kothari, Sven Kreiss, Alexandre Alahi
Since the past few decades, human trajectory forecasting has been a field of active research owing to its numerous real-world applications: evacuation situation analysis, deploymen…
cs.LG2019
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu, Parth Kothari, Alexandre Alahi
The standard practice in Generative Adversarial Networks (GANs) discards the discriminator during sampling. However, this sampling method loses valuable information learned by the…