Publications | Research

2018

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

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