Jingxi Chen

I am a PhD student in the Computer Science Department at the University of Maryland, College Park. I am working with Prof. Yiannis Aloimonos and Cornelia Fermüller at Perception and Robotics Group. I also work closely with Prof. Christopher Metzler. During my master’s study I worked with Prof. Pratap Tokekar on using Reinforcement Learning in Multi-agent System research.
My research interest lies at the intersection of computer vision, imaging, and robotics, focusing on generative models, neural representations for motion in videos, and 3D vision for robotics.

Selected Publications

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion

TimeRewind synthesizes the video backward into the pre-capture time with image-and-events video diffusion.

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization

ConVRT is an efficient INR framework for video-based turbulence mitigation that operates in test-time optimization manner

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

CodedEvents is a novel method for optimal point-spread-function engineering for 3D-tracking with event cameras.

Proxmap: Proximal occupancy map prediction for efficient indoor robot navigation

Proxmap: Proximal occupancy map prediction for efficient indoor robot navigation

We present a self-supervised occupancy prediction technique, ProxMaP, to predict the occupancy within the proximity of the robot to enable faster navigation.

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring

We present a Multi-Agent Reinforcement Learning (MARL) algorithm for the Visibility-based Persistent Monitoring (VPM) problem.


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