Toshiya Hachisuka Assistant Professor, Computer Graphics and Image Processing Group toshiya_at_cs_au_dk Turing-123 Aabogade 34, Aarhus N, 8200, Denmark Pronunciation of my name: Almost literal, but "Hachisuka" has silent "u" (i.e., "Hachiska"). "Toshiya" should sound like "Joshua", not like "TOSHIBA". I am looking for a self-motivated PhD student. International students are encouraged to apply. I will not reply to any spam-like email asking for a PhD position or an internship. Be specific about what you are interested within the area of computer graphics.

• April/12/2013: "Robust Adaptive Photon Tracing using Photon Path Visibility" will be presented at this coming SIGGRAPH 2013. Finally!
• December/07/2012: "Robust Image Denoising using a Virtual Flash Image for Monte Carlo Ray Tracing" has been accepted to CGF.
• October/17/2012: The webpage for the last year's rendering competision is up (overdue).
• August/15/2012: "A Path Space Extension for Robust Light Transport Simulation" has been conditionally accepted to SIGGRAPH Asia 2012.
• June/17/2012: Jacob Toft Pedersen will be starting his PhD study in my group from this summer.

• Q0. Your code for MDAS does not work with my pbrt.
• A0. Please read readme.txt again and you will get why.
  
  
• Q1. Is (S)PPM unbiased?
• A1. In the standard definition, (S)PPM is biased and consistent.
  
  
• Q2. Do you speak Danish?
• A2. Not yet.
  
  
• Q3. Unbiased methods are more accurate than biased methods.
• A3. You are absolutely, utterly, completely, hopelessly wrong.

• Light transport simulation
• Physically based rendering
• Parallel processing
• Real-time rendering
• Physically based animation
• Computational statistics

• Jacob Toft Pedersen (PhD)
• Tommy de Blanck (MS)
• Troels Ugilt Jensen (MS)
• Marc Ilsø Poulsen (MS)
• Nikolaj Kobek Thorsen (MS)

• Lasse Staal (MS)
• Horea Ioan Trinca (PhD - visiting)

• Rendering Algorithms (2013)
• Rendering Algorithms (2012) - Rendering Competition

	"Robust Image Denoising using a Virtual Flash Image for Monte Carlo Ray Tracing" B. Moon, J. Jun, J. Lee, K. Kim, T. Hachisuka, and S. Yoon Computer Graphics Forum (Volume 32 Number 1), 2012 (Denoising method with a novel image feature.)
	"A Path Space Extension for Robust Light Transport Simulation"   [supplemental]   [code] T. Hachisuka, J. Pantaleoni, and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH Asia 2012), 2012 (Full paper of the technical report at NVIDIA.)
	"Randomized Coherent Sampling for Reducing the Perceptual Error of Rendered Images"   [poster] L. Staal and T. Hachisuka SIGGRAPH 2012 Posters, 2012 (New uniform sampling method that reduces perceptual noise in Monte Carlo ray tracing.)
	"State of the Art in Photon-Density Estimation" T. Hachisuka and W. Jarosz (organizers, check out the course website for the full list of speakers.) SIGGRAPH 2012 Courses, 2012 (Course on recent advancements in photon density estimation.)
	"Robust Adaptive Photon Tracing using Photon Path Visibility" T. Hachisuka and H. W. Jensen ACM Transactions on Graphics (Volume 30 Issue 5, to be presented at SIGGRAPH 2013), 2011 (Adaptive Markov chain Monte Carlo sampling for photon tracing with a simple target distribution.)
	"A Progressive Error Estimation Framework for Photon Density Estimation" T. Hachisuka, W. Jarosz, and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH Asia 2010), 2010 (Full paper of the talk at SIGGRAPH 2010.)
	"Parallel Progressive Photon Mapping on GPUs"   [code]   [slides] T. Hachisuka and H. W. Jensen SIGGRAPH Asia 2010 Technical Sketches, 2010 (Simple parallel range query algorithm with randomization.)
	"An Error Estimation Framework for Photon Density Estimation"   [slides] T. Hachisuka, W. Jarosz, and H. W. Jensen SIGGRAPH 2010 Talks: Rendering Intangibles, 2010 (Error estimation for progressive photon density estimation.)
	"Stochastic Progressive Photon Mapping"   [code]   [data0]   [data1] T. Hachisuka and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH Asia 2009), 2009 (First progressive average density estimator for distribution effects. )
	"An Empirical BSSRDF Model" C. Donner, J. Lawrence, R. Ramamoorthi, T. Hachisuka, H. W. Jensen, and S. Nayar ACM Transactions on Graphics (SIGGRAPH 2009), 2009 (Precomputed BSSRDFs for moderately scattering media.)
	"Progressive Photon Mapping"   [code]   [data0]   [data1] T. Hachisuka, S. Ogaki, and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH Asia 2008), 2008 (New progressive density estimator for light transport simulation.)
	"Multidimensional Adaptive Sampling and Reconstruction for Ray Tracing"   [slides]   [code]   [data0]   [data1] T. Hachisuka, W. Jarosz, R. P. Weistroffer, K. Dale, G. Humphreys, M. Zwicker, and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH 2008), 2008 (Adaptive sampling and reconstruction in the random number space.)
	"Combined Lagrangian-Eulerian Approach for Accurate Advection"   [poster]   [code] T. Hachisuka SIGGRAPH 2005 Posters (2nd Place in SRC:Undergraduate division at SIGGRAPH), 2005 (Advection equation solver using mapping functions.)
	"High-Quality Global Illumination Rendering Using Rasterization"   [demo] T. Hachisuka GPU Gems 2: Programming Techniques for High Performance Graphics and General-Purpose Computation (Chapter 38), 2005 (Applicaton of the poster at SIGGRAPH 2004.)
	"Final Gathering on GPU"   [poster] T. Hachisuka GP2, ACM Workshop on General Purpose Computing on Graphics Processors (also presented at SIGGRAPH 2004 Posters), 2004 (Complete GPU mapping of ray-bundle tracing.)

	"A Path Space Extension for Robust Light Transport Simulation" T. Hachisuka, J. Pantaleoni, and H. W. Jensen NVIDIA Technical Report NVR-2012-001, April 2012 (Unified sampling framework for Monte Carlo path integration and photon density estimation.)
	"Ray Tracing on Graphics Hardware" T. Hachisuka Research Exam, University of California at San Diego, 2009 (Comparative studies of GPU ray tracing algorithms.)
	"Generalized Polarization Ray Tracing using a Monte-Carlo Method" T. Hachisuka Final project in CSE 272, University of California at San Diego, 2007 (Monte Carlo formulation of polarization effects.)

	"Robust Light Transport Simulation using Progressive Density Estimation" T. Hachisuka (Advisor: Prof. Henrik Wann Jensen) Dissertation for Doctor of Philosophy, University of California at San Diego, 2011 (Light transport simulation framework based on progressive density estimation. )
	"Advection Equation Solver using Mapping Functions" T. Hachisuka (Advisor: Prof. Seiichi Koshizuka) Thesis for Bachelor of Engineering, The University of Tokyo, 2006 (Formulation of the advection equation as mapping.)

• Doctor of Philosophy in Computer Science, University of California at San Diego, Summer 2011
• Bachelor of Engineering, The University of Tokyo, Spring 2006

• Assistant Professor, Aarhus University, Fall 2011 to Present
• Software Intern (contributed to OptiX SDK), Nvidia, Summer 2010
• Developer Intern (contributed to fluid rendering and animation), Weta Digital, Summer 2009
• Contract Developer (developed a GPU ray tracing library), nTechnology, Summer 2007
• Contract Researcher (consluted on fluid rendering and animation), Prometech Software, Spring 2005 to Spring 2006
• Contract Developer (developed an offline rendering system on a GPU), Raia, Summer 2005 to Fall 2008
• Developer (developed a lightmap baking system on a GPU), Quat Technology, Summer 2003 to Winter 2003

• Dean award of the Department of Engineering (summa cum laude equivalent), The University of Tokyo, 2006
• Award for Excellence in Science, JASSO, 2006
• 2nd Place at SIGGRAPH Undergraduate Division in ACM Student Research Competition, 2005
• Super Creator, IPA, 2003

• Samsung Advanced Institute of Technology, 2012 (funding a PhD student)
• NVIDIA Fellowship, 2010 (chosen as a recipient also in 2008)
• ATI/AMD Fellowship, 2008
• Powell Foundation Fellowship, 2007
• Exploratory Software Project for Youth (the MITOH Youth Program), IPA, 2002

• Reviewer for:
  • SIGGRAPH
  • SIGGRAPH Asia
  • Eurographics Symposium on Rendering
  • ACM Transaction on Graphics
  • Computers & Graphics
  • Computer Graphics Forum
  • Eurographics
  • High Performance Graphics
  • IEEE Computer Graphics and Applications
  • IEEE Transactions on Visualization and Computer Graphics
  • Journal of Computer Science and Technology
• Committee member for:
  • Symposium on Interactive 3D Graphics and Games 2013
  • Eurographics Symposium on Rendering 2012, 2013
  • Pacific Graphics 2013
• Projects for fun
• Parthenon renderer
• Research Topic Generator
  • Click the window to instantly generate a new research topic.
  • Edit nouns.txt and adjectives.txt to customize for your needs.
  • Currently does not support automatic generation of a paper and technical validation of generated topics.
• My awesome coolest totally-wicked strategy for producing many papers (modification of an anonymous post):
  1. Preparation - Discover some new application domain (e.g., rendering of sushi).
  2. Paper #1 - Introduce the problem. Model it as a ray tracing problem and render images using pbrt. Minimal implementation effort is needed.
  3. Paper #2 - Solve the problem with importance sampling. Because you know something about your application domain, you can find a good probability density function to reduce variance a bit compared to #1.
  4. Paper #3 - Importance sampling is not working well in difficult cases, even with your good probability density function. Now let's solve it with a Markov Chain Monte Carlo method such as the Metropolis-Hasting algorithm.
  5. Paper #4 - Speed is important. Implement the algorithm on a GPU.
  6. Paper #5 - #4 is still too slow. You've found an interactive application of the problem (e.g., sushi bar), so now you need to focus on speed rather than image quality. Rasterization.
  7. Paper #6 - You've analyzed your application domain, and found that 50-70% of all problem instances belong to a special class that can be rendered more efficiently (e.g., subsurface scattering of fish meat is dominated by single scattering). New paper.
  8. Paper #7 - It's time for an approximation algorithm (e.g., subsurface scattering by texture-space blurring).
  9. Now, repeat the process from the step 2 by slightly changing the topic (e.g., rendering of sashimi).
• I am a minimalist.
• I like bulleted lists.