I’m a tenure-track assistant professor in the Department of Computer Science at ETH Zürich. I lead the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, I received an early career research grant to start my research group at the Max Planck Institute for Intelligent Systems in November 2017.

Siyu Tang. ETH Zürich. Verified email at inf.ethz.ch - Homepage. computer vision machine learning. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Deepcut: Joint subset partition and labeling for multi person pose estimation. L Pishchulin, E Insafutdinov, S Tang ...

Assistant Professor at the Department of Computer Science. Computer vision, digital humans, people tracking and pose estimation, human motion synthesis, generative models for content creation, egocentric computer vision, machine learning. I’m an assistant professor in the Department of Computer Science at ETH Zürich.

Authors:Kaifeng Zhao, Gen Li, Siyu Tang DART is a Diffusion-based Autoregressive motion model for Real-time Text-driven motion control. Furthermore, DART enables various motion generation applications with spatial constraints and goals, including motion in-between, waypoint goal reaching, and human-scene interaction generation.

I’m a tenure-track assistant professor in the Department of Computer Science at ETH Zürich. I lead the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, I received an early career research grant to start my research group at the Max Planck Institute for Intelligent Systems in November 2017.

新颖视角合成（NVS）专注于将2D RGB图像转换为沉浸式3D场景，使用户能够在增强现实（AR）和虚拟现实（VR）环境中自由导航。 传统上，这个问题通常通过标准的新颖视角插值协议来解决，其中测试视角沿输入视角的轨迹以固定间隔进行采样。 基于该协议，已经出现了多种NVS方法，其中3D高斯溅射（3DGS）因在视角插值中实现实时和高保真结果而最近备受关注。 然而，AR和VR应用不仅要求输入视角之间的平滑过渡，还要求能够从输入分布之外的视角探索 …

Siyu Tang Assistant Professor, Department of Computer Science, Swiss Federal Institute of Technology. Joined ; September 2018

I'm looking for PhD students and postdocs to join my group at ETHZ, I also offer master thesis and research projects. If you are interested, please contact me: [email protected]. I am interested in the intersection between computer vision and machine learning with a focus on holistic visual scene understanding.

Siyu Tang officially joined the Department of Computer Science of ETH Zurich in January 2020 as Tenure Track Assistant Professor of Computer Vision. Get to know her in this short interview.

Her expertise is to apply queuing theories, stochastic modeling methodologies and control theories in communication networks to improve their performance, stability, and connectivity. Affiliations: [Huawei Munich Research Center, Munich, Germany]. Author Bio: Siyu Tang received the M.Sc. and Ph.D. degrees in electrical engineering from the De.