Li, Tzu-Mao

10 publications

ICCV 2025 A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, Nicholas Antipa

CVPR 2025 HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition Zimo Wang, Cheng Wang, Taiki Yoshino, Sirui Tao, Ziyang Fu, Tzu-Mao Li

TMLR 2025 In-Distribution Adversarial Attacks on Object Recognition Models Using Gradient-Free Search. Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix

ICML 2024 Enhancing Value Function Estimation Through First-Order State-Action Dynamics in Offline Reinforcement Learning Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang

NeurIPSW 2024 In-Distribution Adversarial Attacks on Object Recognition Models Using Gradient-Free Search. Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Hanspeter Pfister, Xavier Boix

ICMLW 2023 Distributions for Compositionally Differentiating Parametric Discontinuities Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li

ICCV 2023 Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi

NeurIPS 2023 Inferring the Future by Imagining the past Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum

ICMLW 2023 Inferring the Future by Imagining the past Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum

ICLR 2020 DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand