Publications

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

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2021

SiP-ML: high-bandwidth optical network interconnects for machine learning training
Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
Differential Barycentric Coordinates
Tomas Akenine-Möller
Refraction Ray Cones for Texture Level of Detail
Jakub Bokskansky, Cyril Crassin, Tomas Akenine-Möller
Visualizing and Communicating Errors in Rendered Images
Pontus Ebelin, Tomas Akenine-Möller, Jim Nilsson
Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination
Harsh Agrawal, Eli Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
Oral
CarneliNet: Neural Mixture Model for Automatic Speech Recognition
Aleksei Kalinov, Somshubra Majumdar, Jagadeesh Balam, Boris Ginsburg
Enabling Next-generation Holographic Displays with Artificial Intelligence
Gordon Wetzstein, Yifan Peng, Suyeon Choi, Jonghyun Kim
A distributed, decoupled system for losslessly streaming dynamic light probes to thin clients
Michael Stengel, Zander Majercik, Ben Boudaoud, Morgan McGuire
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
Cooperative Profile Guided Optimization
Mark Stephenson, Ram Rangan, Steve Keckler
Rearchitecting Spatiotemporal Resampling for Production
Chris Wyman, Alexey Panteleev
Improving Long-read Consensus Sequencing Accuracy with Deep Learning
Avantika Lal, Michael Brown, Rahul Mohan, Joyjit Daw, James Drake, Johnny Israeli
ReSTIR GI: Path Resampling for Real-Time Path Tracing
Yaobin Ouyang, Shiqiu Liu, Markus Kettunen, Matt Pharr, Jacopo Pantaleoni
NeRF-Tex: Neural Reflectance Field Textures
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
Neural Scene Graph Rendering
Jonathan Granskog, Till Schnabel, Fabrice Rousselle, Jan Novák
An Unbiased Ray-Marching Transmittance Estimator
Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák
Real-time Neural Radiance Caching for Path Tracing
Thomas Müller, Fabrice Rousselle, Jan Novák, Alex Keller
Zero-Variance Transmittance Estimation
Eugene d'Eon, Jan Novák
An Analytic BRDF for Materials with Spherical Lambertian Scatterers
Eugene d'Eon
NVBitFI: Dynamic Fault Injection for GPUs
Timothy Tsai, Siva Hari, Michael B. Sullivan, Oreste Villa, Steve Keckler
Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices
Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao
Weakly-Supervised Physically Unconstrained Gaze Estimation
Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
Oral
Learning to Track Instances without Video Annotations
Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz
Oral
Binary TTC: A Temporal Geofence for Autonomous Navigation
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
Best Student Paper Honorable Mention, CVPR 2021
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler
Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles
Vasu Singh, Siva Hari, Timothy Tsai, Mandar Pitale
Deep Two-View Structure-from-Motion Revisited
Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li
SpZip: Architectural Support for Effective Data Compression in Irregular Applications
Yifan Yang, Joel Emer, Daniel Sanchez
Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers
Harini Muthukrishnan, David Nellans, Daniel Lustig, Jeffrey Fessler, Thomas Wenisch
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Danny Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov