Introduction
I am currently employed as a Computer Vision and Machine Learning Research Scientist in the Computer Vision Lab at Huawei, Zurich. I work on developing memory- and computationally-efficient image restoration models for the next-generation smartphones and cloud services.
Prior to joining Huawei, I received a PhD from ETH Zurich under the supervision of Prof. Dr. Luc Van Gool, where I explored data-efficient LiDAR semantic segmentation. My research spanned various approaches, including but not limited to weakly-supervised, semi-supervised training and active learning. In the later stages of my PhD, I contributed to the TRACE-Zurich project, shifting my focus towards integrating 3D vision with natural language, particularly in dense 3D visual grounding.
News
2024-09 My student’s work S4A is accepted to NeurIPS 2024 as Spotlight!
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!
