Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …

Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …

Recently integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …

This paper attacks the challenging problem of video retrieval by text. In such a retrieval
paradigm, an end user searches for unlabeled videos by ad-hoc queries described …

Deciphering human behaviors to predict their future paths/trajectories and what they would
do from videos is important in many applications. Motivated by this idea, this paper studies …

Pedestrian trajectory prediction is an essential and challenging task for a variety of real-life
applications such as autonomous driving and robotic motion planning. Besides generating a …

This paper studies the problem of predicting the distribution over multiple possible future
paths of people as they move through various visual scenes. We make two main …

Ad-hoc video search (AVS) is an important yet challenging problem in multimedia retrieval.
Different from previous concept-based methods, we propose a fully deep learning method …

Predicting human motion from historical pose sequence is crucial for a machine to succeed
in intelligent interactions with humans. One aspect that has been obviated so far, is the fact …

Unlike vision modalities, body-worn sensors or passive sensing can avoid the failure of
action understanding in vision related challenges, eg occlusion and appearance variation …