- ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling (ICCV, 2025)
- S2GO: Streaming Sparse Gaussian Occupancy Prediction (In Submission, 2025)
- Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection (CVPR, 2025)
- Generalizable Neural Human Renderer (MIRU, 2024)
- Flexible Depth Completion for Sparse and Varying Point Densities (CVPR, 2024)
- Azimuth Super-Resolution for FMCW Radar in Autonomous Driving (CVPR, 2023)
- Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection (ICLR, 2023)
- DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection (ECCV, 2022)
Research Experience
Interned at Meta Zurich and Meta Reality Labs working on 3D panoptic reconstruction and parametric human body modeling.
Education
Fourth-year PhD student at CMU's Robotics Institute, advised by Prof. Kris Kitani; previously received a bachelor's degree in Computer Science from CMU in 2022, also working with Prof. Kris Kitani; conducted research at the MSC Lab in UC Berkeley for two summers, advised by Prof. Masayoshi Tomizuka and Dr. Wei Zhan.
Background
Broadly interested in computer vision, joint 2D/3D understanding, human motion modeling, and multi-modal learning. Much of my research focuses on bridging 2D and 3D representations for a cohesive understanding of the world.