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2022

Displacement-Invariant Cost Computation for Efficient Stereo Matching

Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, et al.

Machine Learning and Algorithms: Let Us Team Up for EDA

Haoxing (Mark) Ren, Brucek Khailany, Matt Fojtik, Yanqing Zhang

Steve Keckler, Dejan Milojicic

GPU Subwarp Interleaving

Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

Jonathan Tremblay, Moustafa Meshry, Stan Birchfield, Alex Evans, Jan Kautz, Alex Keller, Sameh Khamis, Charles Loop, Nate Morrical, Thomas Müller, Koki Nagano, Towaki Takikawa, Stan Birchfield

2019

Few-Shot Video-to-Video Synthesis

Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro

Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz

High-Quality Self-Supervised Deep Image Denoising

Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila

Improved Precision and Recall Metric for Assessing Generative Models

Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila

Joint-task Self-supervised Learning for Temporal Correspondence

Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang

Instant Quantization of neural networks using Monte Carlo Methods

Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller

NeurIPS

Joint Optimization for Cooperative Image Captioning

Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik

Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication

Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor

Legate NumPy: Accelerated and Distributed Array Computing

Michael Bauer, Michael Garland

Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz

Josef Spjut, Ben Boudaoud, Kamran Binaee, Jonghyun Kim, Zander Majercik, Morgan McGuire, David Luebke, Joohwan Kim

MAGNet: A Modular Accelerator Generator for Neural Networks

Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany

Content-Consistent Generation of Realistic Eyes with Style

Marcel Bühler , Seonwook Park, Shalini De Mello, Xucong, Otmar Hilliges

Winner (1st place) Synthetic Eye Generation Challenge

Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs

Yannan Nellie Wu, Joel Emer, Vivienne Sze

Highly-scalable, Physics-informed GANs for Learning Solutions of Stochastic PDEs

Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis

Neural Inverse Rendering of an Indoor Scene from a Single Image

Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz

Few-Shot Adaptive Gaze Estimation

Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz

Oral

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wong, Xiaodong Yang

ICCV

SENSE: A Shared Encoder Network for Scene-flow Estimation

Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

Arsalan Mousavian, Clemens Eppner, Dieter Fox

Extreme View Synthesis

Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz

Few-Shot Unsupervised Image-to-Image Translation

Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan

Neural Turtle Graphics for Modeling City Road Layouts

Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler

Meta-Sim: Learning to Generate Synthetic Datasets

Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler

An Alarm System for Segmentation Algorithm Based on Shape Model

Fengze Liu, Yingda Xia, Dong Yang, Alan Yuille, Daguang Xu

Confidence Regularized Self-Training

Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang

Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model

Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg