Publications | Research

2020

HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

UNAS: Differentiable Architecture Search Meets Reinforcement Learning

Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz

A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset

Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta

How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer

UFO2: A Unified Framework towards Omni-supervised Object Detection

Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz

Neural Holography

Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein

Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints

Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz

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

IROS

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

Mark Haoxing 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, Mark Haoxing 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