Pou-Chun Kung

According to our database, Pou-Chun Kung authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar.

Yeheng Zong, Pou-Chun Kung, Yi Pan, Seth Isaacson, Yizhou Chen, Ram Vasudevan, Katherine A. Skinner

CoRR, May, 2026

RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment.

Pou-Chun Kung, Yuan Tian, Zhengqin Li, Yue Liu, Eric Whitmire, Wolf Kienzle, Hrvoje Benko

CoRR, April, 2026

2025

SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting.

Advaith Venkatramanan Sethuraman, Max Rucker, Onur Bagoren, Pou-Chun Kung, Nibarkavi N. B. Amutha, Katherine A. Skinner

IEEE Robotics Autom. Lett., December, 2025

LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction.

Pou-Chun Kung, Xianling Zhang, Katherine A. Skinner, Nikita Jaipuria

IEEE Robotics Autom. Lett., December, 2025

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes.

Pou-Chun Kung, Skanda Harisha, Ram Vasudevan, Aline Eid, Katherine A. Skinner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

SAD-GS: Shape-aligned Depth-supervised Gaussian Splatting.

Pou-Chun Kung, Seth Isaacson, Ram Vasudevan, Katherine A. Skinner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

LONER: LiDAR Only Neural Representations for Real-Time SLAM.

Seth Isaacson, Pou-Chun Kung, Mani Ramanagopal, Ram Vasudevan, Katherine A. Skinner

IEEE Robotics Autom. Lett., December, 2023

2022

Radar Occupancy Prediction With Lidar Supervision While Preserving Long-Range Sensing and Penetrating Capabilities.

Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin

IEEE Robotics Autom. Lett., 2022

2021

A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars.

Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021