Ruiqi Xian (先睿奇)

I'm a third-year PhD in Electrical and Computer Engineering at the University of Maryland College Park, where I am involved in advanced research under the guidance of Dr. Dinesh Manocha at the GAMMA Lab. My primary focus lies in the realms of computer vision and robotics, with a specialization in video processing and understanding.

Currently, I am working on perception problems from videos captrued by Unmanned Aerial Vehicles(UAVs). Although my research is primarily centered on aerial scene perception, I am also very interested in topics related to Video Foundation Models and Self-Supervised Learning.

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• (Nov 2023) HallusionBench is on ArXiv!
• (OCT 2023) MITFAS and PMI Sampler have been accepted to WACV 2024.
• (Sep 2023) PLAR is on Arxiv!
• (Jan 2023) AZTR has been accepted to ICRA 2023.

An comprehensive benchmark designed for the evaluation of image-context reasoning, which presents significant challenges to advanced large visual-language models (LVLMs), such as GPT-4V(Vision) and LLaVA-1.5, by emphasizing nuanced understanding and interpretation of visual data.

A novel action recognition approach that leverages the strengths of prompt learning to optimize the learning process.

A frame selection strategy utilizes the motion bias within videos via patch-wise similarity, enabling the selection of motion-salient frames with dynamic background.

A novel alignment and sampling approach that roots in information theory to handle the viewpoint changes caused by the UAV ego-motions.

A learning-based approach that can be implemented and evaluated both on the desktop with high-end GPUs and on the low power Platforms for robots and drones.

Website template borrowed from Jon Barron.