We explore how reconciling several foundation models (large language models and vision-
language models) with a novel unified memory mechanism could tackle the challenging …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Understanding human instructions to identify the target objects is vital for perception
systems. In recent years the advancements of Large Language Models (LLMs) have …

Vision-language models (VLMs) have recently shown promising results in traditional
downstream tasks. Evaluation studies have emerged to assess their abilities with the …

Physical reasoning is important for effective robot manipulation. Recent work has
investigated both vision and language modalities for physical reasoning; vision can reveal …

Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-
centric perception, facilitating applications like AR/VR and embodied AI. For the egocentric …

Continual learning (CL) provides a framework for training models in ever-evolving
environments. Although re-occurrence of previously seen objects or tasks is common in real …

Delving into the realm of egocentric vision, the advancement of referring video object
segmentation (RVOS) stands as pivotal in understanding human activities. However …

The rapid evolution of egocentric video analysis brings new insights into understanding
human activities and intentions from a first-person perspective. Despite this progress, the …