Publications

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

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2020

World-Consistent Video-to-Video Synthesis
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz
Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications
Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
Weakly Supervised One-stage Vision and Language Disease Detection using Large Scale Pneumonia and Pneumothorax Studies
Leo Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks
Haoxing (Mark) Ren, George Kokai, Walker Turner, Ting-Sheng Ku
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
GRANNITE: Graph Neural Network Inference for Transferable Power Estimation
Yanqing Zhang, Haoxing (Mark) Ren, Brucek Khailany
Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, Wojciech Jarosz
Practical Product Sampling by Fitting and Composing Warps
David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, Peter Shirley
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
Automated Synthetic-to-Real Generalization
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
Angular Visual Hardness
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Anima Anandkumar
Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions
Joohwan Kim, Pyarelal Knowles, Josef Spjut, Ben Boudaoud, Morgan McGuire
ꟻLIP: A Difference Evaluator for Alternating Images
Pontus Ebelin, Jim Nilsson, Tomas Akenine-Möller, Magnus Oskarsson, Kalle Åström, Mark D. Fairchild
Wolfgang Straßer Award for 3rd best paper, High Performance Graphics 2020
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
Outstanding Paper, ICML 2020
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
Compositional Neural Scene Representations for Shading Inference
Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
Understanding SSIM
Jim Nilsson, Tomas Akenine-Möller
ML-driven Malware that Targets AV Safety
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
A Taxonomy of Bidirectional Scattering Distribution Function Lobes for Rendering Engineers
Morgan McGuire, Julie Dorsey, John F. Hughes, Steve Marschner, Matt Pharr, Peter Shirley
Neural Denoising with Layer Embeddings
Jacob Munkberg, Jon Hasselgren
PyTorchFI: A Runtime Perturbation Tool for DNNs
Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Hari
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing (Mark) Ren, Brucek Khailany, David Z. Pan
2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
Bi3D: Stereo Depth Estimation via Binary Classifications
Abhishek Badki, Alejandro Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Weiyang Liu, Rongmei Lin, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
Monte Carlo Gradient Quantization
Goncalo Mordido, Matthijs Van keirsbilck, Alex Keller