Hanwen Cao 曹瀚文

I am a Ph.D. student at University of California, San Diego (UCSD). I do research at Extential Robotics Laboratory and am fortunate to be advised by Prof. Nikolay Atanasov.

Before moving to UCSD, I obtained my B.E. degree from Shanghai Jiaotong University, Shanghai, China. My undergraduate supervisor is Prof. Cewu Lu.

Email  /  Google Scholar  /  Github

I'm interested in robotics and computer vision.

Hanwen Cao, George J. Pappas, Nikolay Atanasov,
under review
project page / paper /

Probabilistic data association Kalman filter for multi-object tracking (MOT).

Yulun Tian, Hanwen Cao, Sunghwan Kim Nikolay Atanasov,
RSS 2025
paper /

Deep SDF SLAM with neural implicit grid features.

Hanwen Cao, Sriram Shreedharan, Nikolay Atanasov,
Robotics and Automation Letter (RA-L), 2024
project page / paper /

Distributed MSCKF (Multi-State Constrained Kalman Filter) for multi-robot SLAM.

Hanwen Cao, Hao-Shu Fang, Wenhai Liu, Cewu Lu
RA-L, 2021
project page / paper /

A large-scale real-world dataset for suction grasping in cluttered scenes.

Hanwen Cao, Yongyi Lu, Cewu Lu Bo Pang, Gongshen Liu, Alan Yuille
BMVC, 2020
paper / code /

A flexible module for point cloud sequence segmentation.

Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu
Nature Machine Intelligence, 2020
paper

A general model for complex sequential understanding.

Bo Pang, Kaiwen Zha, Hanwen Cao, Cewu Lu
CVPR, 2019
paper / code /

A new deep RNN framework with better performance on visual sequential applications.

template borrowed from Jon Barron