Research Interest

I am a PhD student at TUM CAMP working on 6D pose estimation of object for robotic applications. We have been working closely with our industry partners on cutting edge problems dealing with large amounts of objects. Feel free to contact me if you are instered in object pose estimation and have experience in 3D computer vision.

Student Thesis

Available: 6D Pose Estimation without Forgetting (Guided Research) Link
Running: Mutliview Hand Pose Estimation under Occlusion Link
Few Shot Learning for 6D Object Pose Estimation Link
Self-Supervision for Transparent Category-level Pose Estimation Link
Finished: Deep Synthetic Polarimetric 6D Object Pose Estimation (Master Thesis,21SS)
Light Source Estimation for Photorealistic Object Rendering (Guided Research,21SS)

News

1 Submission accepted to ECCV 2022
1 Submission accepted to CVPR 2022
1 Paper accepted to IROS 2021

Teachings

Project Couse: Advanced Topics in 3D Computer Vision (SS 2022)
Project Course: Praktikum on 3D Computer Vision (WS 2021/22)
Seminar Course: Recent Trends in 3D Computer Vision and Deep Learning (SS 2021)

List of Publications

Polarimetric Pose Prediction, D. Gao, Y. Li, P. Ruhkamp, I. Skobleva, Ma. Wysock, H. Jung, P. Wang, A. Guridi, B. Busam, ECCV, 2022.
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects**, P. Wang, H. Jung *, Y. Li, S. Shen, R. Srikanth, L. Garattoni, S. Meier, N. Navab, B. Busam, CVPR, 2022. * Equal Contribution
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration, P. Wang, F. Manhardt *, L. Minciullo, L. Garattoni, S. Meier, N. Navab. and B. Busam. IROS 2021. * Equal Contribution