Hi there, I’m Patrick!

I am a first-year CS Ph.D. student at Yale University in Prof. Alex Wong’s Yale Vision Laboratory. Previously, I completed my B.S. in Computer Science with a minor in Information and Data Sciences at the California Institute of Technology (Caltech).

Research Interests

My research centers on advancing embodied AI with adaptive, efficient, robust ego-centric perception and multimodal capabilities (as in vision + range sensors, language, or audio). Within this broader goal, my current work focuses on sensor fusion—that is, combining inputs from cameras and range sensors (such as lidar or radar)—in challenging and dynamic settings. I am also interested in recognition tasks, such as 3D object detection for applications like AR/VR and autonomous driving, and generation tasks, such as leveraging language priors for improved depth map generation with diffusion models.

Publications

ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim, Hyoungseob Park, S. Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong
CVPR 2025

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
Yichen Xie, Chenfeng Xu, MJ Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
ICCV 2023

Quadric Representations for LiDAR Odometry, Mapping and Localization
Chao Xia*, Chenfeng Xu*, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
RA-L 2023