Toshiya Hachisuka
About Toshiya Hachisuka
Affiliations
- University of Tokyo, Assistant Professor
- University of California, San Diego
- Aarhus University
- University of Waterloo
Bio
SIGGRAPH Asia 2018
Toshiya Hachisuka is an Associate Professor in the Department of Creative Informatics at the University of Tokyo. He is interested in the intersection of computational statistics, numerical computation, and physics based computer graphics. He has published multiple work on those topics including some recent work on gradient-domain rendering via photon density estimation. He received his Ph.D. in Computer Science from University of California at San Diego in 2011 and B.Eng. from the University of Tokyo in 2006.
SIGGRAPH Asia 2013
Toshiya Hachisuka is an Assistant Professor in the Department of Computer Science at Aarhus University. He received his Ph.D. in Computer Science from UC San Diego in 2011 and B.Eng. from the University of Tokyo in 2006.
SIGGRAPH 2012
Toshiya Hachisuka is an Assistant Professor in the Department of Computer Science at Aarhus University. His main research interests are the development of general light transport simulation algorithms and the intersection of computational statistics and realistic image synthesis. He has published multiple work on those topics including a new formulation of photon density estimation and a multidimensional adaptive sampling framework for ray tracing. He received his Ph.D. in Computer Science from University of California, San Diego in 2011 and B.Eng. from the University of Tokyo in 2006.
SIGGRAPH Conference Organizing Committee Positions
Conference Contributions
Competitions Participated
Learning
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Courses
Posters
Technical Papers
Sessions Moderated
- “A Compressed Representation for Ray Tracing Parametric Surfaces” by Guthe, Selgrad, Lier, Martinek, Buchenau, et al. …
- “Shader components: modular and high performance shader development”
- “Aether: an embedded domain specific sampling language for Monte Carlo rendering”
- “Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder” by Chaitanya, Kaplanyan, Schied, Salvi, Lefohn, et al. …
- “Kernel-predicting convolutional networks for denoising Monte Carlo renderings”
- “Light in power: a general and parameter-free algorithm for caustic design”
- “Selective guided sampling with complete light transport paths”
- “Differentiable Monte Carlo ray tracing through edge sampling”
- “A radiative transfer framework for non-exponential media”
Other Information
Roles
- Competition Participant
- Course Organizer
- Course Presenter
- Poster Presenter
- Talk (Sketch) Presenter
- Technical Paper Moderator
- Technical Paper Presenter
- Technical Papers Organizing Committee Member
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