Publications

Our publications provide insight into some of our leading-edge research.

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2018

HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
Ben Eckart, Kihwan Kim, Jan Kautz
Switchable Temporal Propagation Network
Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani
Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz
A Closed-form Solution to Photorealistic Image Stylization
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Ben Eckart, Kihwan Kim, Jan Kautz
3D MRI Brain Tumor Segmentation Using Autoencoder Regularization
Andriy Myronenko
Superpixel Sampling Networks
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Machine Learning and Rendering
Alex Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi
Slang: Language Mechanisms for Extensible Real-time Shading Systems
Yong He, Theresa Foley, Kayvon Fatahalian
Steerable application-adaptive near eye displays
Kishore Rathinavel, Praneeth Chakravarthula, Kaan Akşit, Josef Spjut, Ben Boudaoud, Turner Whitted, David Luebke, Henry Fuchs
Towards Virtual Reality Infinite Walking: Dynamic Saccadic Redirection
Qi Sun, Anjul Patney, Li-Yi Wei, Omer Shapira, Jingwan Lu, Paul Asente, Suwen Zhu, Morgan McGuire, David Luebke, Arie Kaufman
Adaptive Temporal Antialiasing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire
Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering
Cyril Crassin, Chris Wyman, Morgan McGuire, Aaron Lefohn
Phantom Ray-Hair Intersector
Alexander Reshetov, David Luebke
Region Growing Curriculum Generation for Reinforcement Learning
Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav Sukhatme
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
Approximate svBRDF Estimation From Mobile Phone Video
Rachel Albert, Dorian Yao Chan, Dan B Goldman, James F. O'Brien
Modeling Soft Error Propagation in Programs
Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai
Hamartia: A Fast and Accurate Error Injection Framework
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
A Modular Digital VLSI Flow for High-Productivity SoC Design
Brucek Khailany, Evgeni Krimer, Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matt Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, Yanqing Zhang, Brian Zimmer
Light-weight Head Pose Invariant Gaze Tracking
Rajeev Ranjan, Shalini De Mello, Jan Kautz
Best Paper (runner up) Workshop on Analysis and Modeling of Faces and Gestures
What Your DRAM Power Models Aren’t Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz
Learning Superpixels with Segmentation-Aware Affinity Losse
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Pavlo Molchanov, Jan Kautz, Sina Honari
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz