Tzu-Mao Li

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Most Recent Affiliation(s):

MIT, Computer Science and Artificial Intelligence Laboratory (CSAIL), Postdoctoral Researcher

Location:

Cambridge, Massachusetts, United States of America

Learning Category: Jury Member:

Technical Papers, SIGGRAPH 2021

Award(s):

SIGGRAPH 2020 Outstanding Doctoral Dissertation Award: Li

Experience(s):

Type: [Studio (SIGGRAPH Labs)]
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
Organizer(s): [Chandra ] [Li ] [Tenenbaum ] [Ragan-Kelley ]
[SIGGRAPH 2022]

Learning Category: Presentation(s):

Type: [Technical Papers ]
Acting as Inverse Inverse Planning Presenter(s): [Chandra ] [Li ] [Tenenbaum ] [Ragan-Kelley ]
[SIGGRAPH 2023]

Type: [Technical Papers ]
Parameter-space ReSTIR for Differentiable and Inverse Rendering Presenter(s): [Chang ] [Sivaram ] [Nowrouzezahrai ] [Hachisuka ] [Ramamoorthi ] [Li ]
[SIGGRAPH 2023]

Type: [Technical Papers ]
Systematically differentiating parametric discontinuities Presenter(s): [Bangaru ] [Michel ] [Mu ] [Bernstein ] [Li ] [Ragan-Kelley ]
[SIGGRAPH 2021]

Type: [Technical Papers ]
Learning to optimize halide with tree search and random programs Presenter(s): [Adams ] [Ma ] [Anderson ] [Baghdadi ] [Li ] [Gharbi ] [Steiner ] [Johnson ] [Fatahalian ] [Durand ] [Ragan-Kelley ]
[SIGGRAPH 2019]

Type: [Technical Papers ]
Sample-based Monte Carlo denoising using a kernel-splatting network Presenter(s): [Gharbi ] [Li ] [Aittala ] [Lehtinen ] [Durand ]
[SIGGRAPH 2019]

Type: [Technical Papers ]
Differentiable programming for image processing and deep learning in halide Presenter(s): [Li ] [Gharbi ] [Adams ] [Durand ] [Ragan-Kelley ]
Entry No.: [139 ]
[SIGGRAPH 2018]

Type: [Technical Papers ]
Aether: an embedded domain specific sampling language for Monte Carlo rendering Presenter(s): [Anderson ] [Li ] [Lehtinen ] [Durand ]
[SIGGRAPH 2017]

Role(s):

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