Introduction
I am currently a Computer Vision and Machine Learning Research Scientist in the Computer Vision Lab at Huawei, Zurich, where I lead the Image Restoration Group. My work focuses on developing memory- and computationally-efficient image restoration models for next-generation smartphones and cloud services.
Prior to joining Huawei, I received my PhD from ETH Zurich under the supervision of Prof. Dr. Luc Van Gool, where I worked on data-efficient LiDAR semantic segmentation. My research covered weakly supervised learning, semi-supervised training, and active learning. In the later stages of my PhD, I contributed to the TRACE-Zurich project, shifting my focus toward integrating 3D vision with natural language, particularly for dense 3D visual grounding.
News
2026-08 BurstMamba is accepted to SIGGRAPH Asia 2026.
2024-09 My student’s work S4A is accepted to NeurIPS 2024 as Spotlight!
2024-07 ConcreteNet and BST are accepted to ECCV 2024!
2024-05 DiAL receives Best Paper Award - Honorable Mention from IEEE RA-L 2023!
2023-10 ConcreteNet wins the ICCV 2023 Object Localization Challenge!
2022-03 ScribbleKITTI is accepted to CVPR 2022 as an ORAL paper!
2021-10 Our follow-up work in MedIA 2021 receives the Runner-up Best Paper Award!
2019-10 Our paper in MICCAI 2019 is accepted as an ORAL!
