Sherwin Bahmani

I am a Computer Science PhD student at the University of Toronto, supervised by David Lindell and Andrea Tagliasacchi.

I graduated from TU Darmstadt studying Computational Engineering. At TU Darmstadt, I was a student research assistant at the Visual Inference Lab of Stefan Roth. Furthermore, I was a working student and wrote my master thesis at the Image Understanding Group of Mercedes-Benz led by Uwe Franke and Marius Cordts. Moreover, I was involved in a research project at EPFL as part of the VITA Lab of Alexandre Alahi. Afterwards, I conducted a research project at ETH Zurich working in the Computer Vision Lab of Luc Van Gool. I was an intern at Stanford Unversity as part of the Geometric Computation Group of Leonidas Guibas. I was also working with Andrea Tagliasacchi at SFU.

Research

I am interested in computer vision, machine learning, and computer graphics.

	TC4D: Trajectory-Conditioned Text-to-4D Generation Sherwin Bahmani, Xian Liu, Yifan Wang, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell arXiv 2024* arXiv / Project Page / Code
	4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell CVPR 2024 arXiv / Project Page / Code
	CC3D: Layout-Conditioned Generation of Compositional 3D Scenes Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi ICCV 2023 arXiv / Project Page / Code
	3D-Aware Video Generation Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte TMLR 2023 arXiv / Project Page / Code
	Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth TMLR 2023* arXiv / Code
	Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi CVPR 2022 arXiv / Code

Academic Service

Reviewer: CVPR, ICCV, ECCV, SIGGRAPH

Source code based on Jon Barron's website.