Position: PhD Candidate
Office:
Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München
MI.03.13.040
Email: pengyuan.wang@tum.de
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.
Student Thesis:
Available: 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
Running: 6D Pose Estimation without Forgetting (Guided Research) 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 CVPR 2022
2 Submisssions to CVPR 2022
1 Paper accepted to IROS 2021
Projects:

Teachings:
Project Course: 3D Computer Vision (WS 21/22)
Seminar Course: Recent Trends in 3D Computer Vision and Deep Learning (SS 2021)
List of Publications:
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 Busam, B. IROS 2021. * Equal Contribution