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Pranav singh chib

3 accepted papers

2024

Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction

ICML 2024poster

Trajectory prediction is an important task that involves modeling the indeterminate nature of agents to forecast future trajectories given the observed trajectory sequences. The task of predicting trajectories poses significant challenges, as agents not only move individually through time but also i…

Cited by 3SourcePDFScholar
2024

MS-TIP: Imputation Aware Pedestrian Trajectory Prediction

ICML 2024poster

Pedestrian trajectory prediction aims to predict future trajectories based on observed trajectories. Current state-of-the-art methods often assume that the observed sequences of agents are complete, which is a strong assumption that overlooks inherent uncertainties. Understanding pedestrian behavior…

2024

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

NeurIPS 2024poster

Pedestrian trajectory prediction is crucial for several applications such as robotics and self-driving vehicles. Significant progress has been made in the past decade thanks to the availability of pedestrian trajectory datasets, which enable trajectory prediction methods to learn from pedestrians' p…