Yung-Hsu (Roy) Yang

Yung-Hsu (Roy) Yang楊詠旭

I am a final-year Ph.D. student in the Computer Vision and Geometry Group at ETH Zürich supervised by Prof. Marc Pollefeys. My research focuses on 3D scene understanding, including object detection and tracking, depth estimation, and reconstruction. I am also interested in physically grounded video generation. I also work closely with Prof. Hermann Blum, Dr. Samuel Rota Bulò, and Dr. Peter Kontschieder.

Starting June 2026, I work as a student researcher at Google Zürich, hosted by Christina Tsalicoglou, Erik Sandström, and Federico Tombari. I received my M.Sc. and B.Sc. in Electrical Engineering from National Tsing Hua University supervised by Prof. Min Sun. During my undergraduate studies, I was also a research intern at Academia Sinica, supervised by Prof. Yu Tsao.

Email / Scholar / Github / Linkedin / X / Huggingface / CV

News

09/2026 LIME is accepted to CoRL 2026!
06/2026 Map-Det3D and LeAD-M3D are accepted to ECCV 2026!
06/2026 Excited to join Google Zürich as a Student Researcher and work on video generation!
05/2026 Excited to help organize the Vision and Robotics for Embodied AI workshop in Ascona!
07/2025 Excited to attend ICVSS 2025 in Sicily!
06/2025 3D-MOOD and FlowR are accepted to ICCV 2025!

Research

	LIME: Learning Intent-aware Camera Motion from Egocentric Video Boyang Sun, Jiajie Li, Yung-Hsu Yang, Chenyangguang Zhang, Tim Engelbracht, Sunghwan Hong, Cesar Cadena, Marc Pollefeys, Hermann Blum CoRL, 2026 arXiv
	Map-Det3D: Metric Feed-Forward 3D Reconstruction Prior for Multi-view 3D Object Detection from Streaming Inputs Yung-Hsu Yang, Luigi Piccinelli, Samuel Rota Bulò, Sunghwan Hong, Denis Rozumny, Johannes Schönberger, Zuria Bauer, Hermann Blum, Peter Kontschieder, Marc Pollefeys ECCV, 2026 arXiv / Code / Demo
	EgoTrack3D: A Modular Framework for Egocentric 3D Object Tracking Jan Kulik, Bjarni Karason, Yung-Hsu Yang, Boyang Sun, Marc Pollefeys, Xi Wang arXiv, 2026 arXiv
	DVPSFormer: Efficient Online Depth-aware Video Panoptic Segmentation for Autonomous Driving Yung-Hsu Yang, Luigi Piccinelli, Siyuan Li, Mattia Segu, Lei Ke, Martin Danelljan, Yuqian Fu, Zuria Bauer, Fisher Yu, Hermann Blum, Marc Pollefeys arXiv, 2026 arXiv / Code
	LeAD-M3D: Leveraging Asymmetric Distillation for Real-time Monocular 3D Detection Johannes Meier, Jonathan Michel, Oussema Dhaouadi, Yung-Hsu Yang, Christoph Reich, Zuria Bauer, Stefan Roth, Marc Pollefeys, Jacques Kaiser, Daniel Cremers ECCV, 2026 arXiv / Code
	3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection Yung-Hsu Yang, Luigi Piccinelli, Mattia Segu, Siyuan Li, Rui Huang, Yuqian Fu, Marc Pollefeys, Hermann Blum, Zuria Bauer ICCV, 2025 arXiv / Code / Demo
	FlowR: Flowing from Sparse to Dense 3D Reconstructions Tobias Fischer, Samuel Rota Bulò, Yung-Hsu Yang, Nikhil Varma Keetha, Lorenzo Porzi, Norman Müller, Katja Schwarz, Jonathon Luiten, Marc Pollefeys, Peter Kontschieder ICCV, 2025 (Highlight) arXiv / Code
	UniK3D: Universal Camera Monocular 3D Estimation Luigi Piccinelli, Christos Sakaridis, Mattia Segu, Yung-Hsu Yang, Siyuan Li, Wim Abbeloos, Luc Van Gool CVPR, 2025 arXiv / Code / Demo
	UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang, Mattia Segu, Siyuan Li, Wim Abbeloos, Luc Van Gool TPAMI, 2025 arXiv / Code
	Samba: Synchronized Set-of-Sequences Modeling for End-to-end Multiple Object Tracking Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool ICLR, 2025 (Spotlight) arXiv / Code
	SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segu, Martin Danelljan, Luc Van Gool ECCV, 2024 arXiv / Code
	UniDepth: Universal Monocular Metric Depth Estimation Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu CVPR, 2024 (Highlight) arXiv / Code / Video
	CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno IROS, 2024 arXiv / Code
	Dense Prediction with Attentive Feature Aggregation Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu WACV, 2023 arXiv / Code / Video
	CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu CoRL, 2022 arXiv / Code / Video
	Monocular Quasi-Dense 3D Object Tracking Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun TPAMI, 2022 arXiv / Code / Video