Publications

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

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  • 242 results found

2018

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
Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay, Thang To, Stan Birchfield
Making Convolutional Networks Recurrent for Visual Sequence Learning
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
Hardware-Enabled Artificial Intelligence
William Dally, Tom Gray, John Poulton, Brucek Khailany, John Wilson, Larry Dennison
Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang
Isometry: A Path-Based Distributed Data Transfer System
Zhihao Jia, Sean Treichler, Galen Shipman, Patrick McCormick, Alex Aiken
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap to Enhance Memory Optimization
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijayumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde, Jiyong Yu, Rohit Agrawal, Mengjia Yan, Michael Pellauer, Christopher W. Fletcher
ACCORD: Enabling Associativity for Gigascale DRAM Caches by Coordinating Way-Install and Way-Prediction
Vinson Young, Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Steve Keckler, Yuan Xie
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe Pebay, Janine C. Bennett
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
Combining Analytic Direct Illumination and Stochastic Shadows
Eric Heitz, Stephen Hill, Morgan McGuire
Full-Stack Memory Model Verification with TriCheck
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Yuval Atzmon, Gal Chechik
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu