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Artificial Intelligence and Machine Learning

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Artificial Intelligence and Machine Learning

2020

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

CVPR

Analyzing and Improving the Image Quality of StyleGAN

Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths

Jae shin Yoon, Kihwan Kim, Orazio Gallo, Hyunsoo Park, Jan Kautz

Two-shot Spatially-varying BRDF and Shape Estimation

Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P.A. Lensch, Jan Kautz

Self-Supervised Viewpoint Learning From Image Collections

Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

Learning Canonical Representations for Scene Graph to Image Generation

Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Chouske, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Steve Keckler

Self-supervised 6D Object Pose Estimation for Robot Manipulation

Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox

An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives

Benjamin Klenk, Ted Jiang, Greg Thorson, Larry Dennison

How to close sim-real gap? transfer with segmentation!

Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz

ML-driven Malware that Targets AV Safety

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings

Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar

Genome Variant Calling with a Deep Averaging Network

Nikolai Yakovenko, Avantika Lal, Johnny Israeli, Bryan Catanzaro

SymGAN: Orientation Estimation without Annotation for Symmetric Objects

Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander Berg, Dieter Fox

Neurreg: Neural registration and its application to image segmentation

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

HarDNN: Feature Map Vulnerability Evaluation in CNNs

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

On the Distance between Two Neural Networks and the Stability of Learning

Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu

Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation

Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz

A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm

Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany

JSSC 2020 Best Paper award

FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Mark Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza

PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

Zhiyao Xie, Mark Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen