2 citations · 3 across the 2 of their papers we have counts for
3 papers
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
Sourav Das, Guglielmo Camporese, Shaokang Cheng +1
Long-term trajectory forecasting is an important and challenging problem in the fields of computer vision, machine learning, and robotics. One fundamental difficulty stands in the…
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Luigi Filippo Chiara, Pasquale Coscia, Sourav Das +3
Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications. This challenging task typically requires k…
Quo Vadis, Skeleton Action Recognition ?
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal +4
In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To study skeleton-action recognition in the wild, we introdu…