Research Areas

Matt Fojtik

To be published at Design Automation Conference 2021 (Preprints)

Improving Long-read Consensus Sequencing Accuracy with Deep Learning

Avantika Lal

Michael Brown

Rahul Mohan

Joyjit Daw

James Drake

Johnny Israeli

Biorxiv

Alias-Free Generative Adversarial Networks

Tero Karras

Miika Aittala

Samuli Laine

Erik Härkönen

Janne Hellsten

Jaakko Lehtinen

Timo Aila

NeRF-Tex: Neural Reflectance Field Textures

Hendrik Baatz

Jonathan Granskog

Marios Papas

Fabrice Rousselle

Jan Novák

Eurographics Symposium on Rendering (EGSR)

Real-time Neural Radiance Caching for Path Tracing

ACM Transactions on Graphics

Neural Scene Graph Rendering

Jonathan Granskog

Till Schnabel

Fabrice Rousselle

Jan Novak

ACM Transactions on Graphics

Learning to Track Instances without Video Annotations

Yang Fu

Humphrey Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Weakly-Supervised Physically Unconstrained Gaze Estimation

Rakshit Kothari

Seonwook Park

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Contrastive Syn-to-Real Generalization

Wuyang Chen

Jose M. Alvarez

Zhangyang Wang

International Conference on Learning Representations (ICLR) 2021

Appearance-Driven Automatic 3D Model Simplification

To appear in EGSR 2021

Auxiliary Learning by Implicit Differentiation

Aviv Navon

Idan Achituve

Ethan Fetaya

ICLR 2021

On the Universality of Rotation Equivariant Point Cloud Networks

Nadav Dym

ICLR 2021

Learning the Pareto Front with Hypernetworks

Aviv Navon

Aviv Shamsian

Ethan Fetaya

ICLR | 2021

Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures

Atefeh Mehrabi

Donghyuk Lee

Niladrish Chatterjee

Danial J. Sorin

Benjamin C. Lee

Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS)

Robust Vision-Based Cheat Detection in Competitive Gaming

Aditya Jonnalagadda

Seth Schenider

Morgan McGuire

Joohwan Kim

I3D ’21

Interactive Path Tracing and Reconstruction of Sparse Volumes

Nikolai Hofmann

Jon Hasselgren

Petrik Clarberg

Jacob Munkberg

Proceedings of the ACM on Computer Graphics and Interactive Techniques

Deep Learning-based Enhancement of Epigenomics Data with AtacWorks

Avantika Lal

Zachary D Chiang

Nikolai Yakovenko

Fabiana M Duarte

Johnny Israeli

Jason D Buenrostro

Nature Communications

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Idan Achituve

Winter Conference on Applications of Computer Vision (WACV), 2021

From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors

Dvir Samuel

NVCell: Generate Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning

Winter Conference on Applications of Computer Vision (WACV) 2021

2020

Matt Fojtik

Workshop on ML for Systems at NeurIPS

Set2Graph: Learning Graphs From Sets

Hadar Serviansky

Nimrod Segol

Jonathan Shlomi

Kyle Cranmer

Eilam Gross

Yaron Lipman

Conference on Neural Information Processing Systems (NeurIPS 2020)

Online Adaptation for Consistent Mesh Reconstruction in the Wild

Xueting Li

Kihwan Kim

Xiaolong Wang

Ming-Hsuan Yang

Neural Information Processing Systems (NeurIPS) 2020

Self-Learning Transformations for Improving Gaze and Head Redirection

Yufeng Zheng

Seonwook Park

Xucong Zhang

Otmar Hilliges

Neural Information Processing Systems (NeurIPS) 2020

A Causal View of Compositional Zero-Shot Recognition

Felix Kreuk

Uri Shalit

Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)

Neural Networks with Recurrent Generative Feedback

Yujia Huang

James Gornet

Sihui Dai

Tan Nguyen

Doris Y. Tsao

Conference on Neural Information Processing Systems (NeurIPS) 2020

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

Weili Nie

Lei Mao

Ankit B. Patel

Yuke Zhu

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

Conference on Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)

Training Generative Adversarial Networks with Limited Data

NeurIPS 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning

Jiahao Su

Furong Huang

Advances in Neural Information Processing Systems (NeurIPS)

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

Jun Gao

Wenzheng Chen

Tommy Xiang

Clement Fuji Tsang

Alec Jacobson

Morgan McGuire

NeurIPS

Neural Control Variates

ACM Transactions on Graphics (SIGGRAPH Asia)

Tzuf Paz-Argaman

Reut Tsarfaty

Findings of EMNLP

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi

Siddharth Garg

IEEE Automotive Reliability and Test workshop

Modular Primitives for High-Performance Differentiable Rendering

Yeongho Seol

ACM Transactions on Graphics 39(6) (Proc. SIGGRAPH Asia 2020)

AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems

Guanpeng Li

Yiran Li

Saurabh Jha

Timothy Tsai

Mike Sullivan

Siva Hari

Zbigniew Kalbarczyk

Ravishankar Iyer

International Symposium on Software Reliability Engineering (ISREE)

Learning Object Permanence from Video

Aviv Shamsian

Ofri Kleinfeld

Amir Globerson

ECCV 2020

A Programmable Approach to Neural Network Compression

Vinu Joseph

Ganesh L. Gopalakrishnan

Saurav Muralidharan

Michael Garland

Animesh Garg

IEEE Micro: Special Issue on Machine Learning for Systems

Accelerating Chip Design with Machine Learning

Saad Godil

Robert Kirby

Alicia Klinefelter

Yanqing Zhang

Bryan Catanzaro

William Dally

IEEE Micro

UFO2: A Unified Framework towards Omni-supervised Object Detection

Zhongzheng Ren

Xiaodong Yang

Alexander G. Schwing

European Conference on Computer Vision (ECCV) 2020

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

Yang Zou

Xiaodong Yang

B. V. K. Vijaya Kumar

European Conference on Computer Vision (ECCV) 2020 (Oral)

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

Xueting Li

Kihwan Kim

Varun Jampani

Ming-Hsuan Yang

European Conference on Computer Vision

ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks

George Kokai

Walker Turner

Ting-Sheng Ku

Design Automation Conference (DAC) 2020

GRANNITE: Graph Neural Network Inference for Transferable Power Estimation

Yanqing Zhang

Design Automation Conference (DAC) 2020

Angular Visual Hardness

Beidi Chen

Weiyang Liu

Anshumali Shrivastava

Animesh Garg

International Conference on Machine Learning (ICML) 2020

Semi-Supervised StyleGAN for Disentanglement Learning

Weili Nie

Shoubhik Debnath

Ankit B. Patel

International Conference on Machine Learning (ICML) 2020

On Learning Sets of Symmetric Elements

Or Litany

Ethan Fetaya

International Conference on Machine Learning (ICML) 2020

Learning Algebraic Multigrid Using Graph Neural Networks

Ilay Luz

Meirav Galun

Ronen Basri

Irad Yavneh

International Conference on Machine Learning (ICML) 2020

Compositional Neural Scene Representations for Shading Inference

Jonathan Granskog

Fabrice Rousselle

Marios Papas

Jan Novák

ACM Transaction on Graphics (SIGGRAPH)

PyTorchFI: A Runtime Perturbation Tool for DNNs

Abdulrahman Mahmoud

Neeraj Aggarwal

Alex Nobbe

Jose Rodrigo Sanchez Vicarte

Sarita V. Adve

Christopher W. Fletcher

Siva Hari

Dependable and Secure Machine Learning

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

Yibo Lin

Zixuan Jiang

Jiaqi Gu

Wuxi Li

Shounak Dhar

David Z. Pan

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

Bi3D: Stereo Depth Estimation via Binary Classifications

Abhishek Badki

Alejandro Troccoli

Kihwan Kim

Pradeep Sen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Zhongzheng Ren

Xiaodong Yang

Yong Jae Lee

Alexander G. Schwing

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Weiyang Liu

Rongmei Lin

Zhen Liu

Chen Feng

James M. Rehg

Li Xiong

Le Song

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Meshlet Priors for 3D Mesh Reconstruction

Abhishek Badki

Pradeep Sen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Two-shot Spatially-varying BRDF and Shape Estimation

Mark Boss

Varun Jampani

Kihwan Kim

Hendrik P.A. Lensch

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths

Jae shin Yoon

Kihwan Kim

Hyunsoo Park

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Analyzing and Improving the Image Quality of StyleGAN

Jaakko Lehtinen

CVPR 2020

Self-Supervised Viewpoint Learning From Image Collections

Siva Karthik Mustikovela

Varun Jampani

Carsten Rother

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

arXiv

Learning Canonical Representations for Scene Graph to Image Generation

Roei Herzig

Amir Bar

Huijuan Xu

Trevor Darrell

Amir Globerson

ECCV 2020

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

Esha Chouske

Mike Sullivan

Mattan Erez

Jeff Pool

David Nellans

Steve Keckler

Proceedings of the 47th International Symposium on Computer Architecture (ISCA 2020)

Genome Variant Calling with a Deep Averaging Network

Nikolai Yakovenko

Avantika Lal

Johnny Israeli

Bryan Catanzaro

Arxiv

SymGAN: Orientation Estimation without Annotation for Symmetric Objects

Phil Ammirato

Jonathan Tremblay

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

Alexander Berg

Dieter Fox

WACV

Neurreg: Neural registration and its application to image segmentation

Wentao Zhu

Yufang Huang

Fausto Milletari

Daguang Xu

WACV

Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation

Aysegul Dundar

John Zedlewski

IEEE Transactions on Pattern Analysis and Machine Intelligence

Brian Zimmer

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

Yakun Sophia Shao

Alicia Klinefelter

Priyanka Raina

IEEE Journal of Solid-State Circuits (JSSC)

Zhiyao Xie

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

Ye Sheng

Santosh Santosh

Jiang Hu

Yiran Chen

ASP-DAC 2020

Zhiyao Xie

Guan-Qi Fang

Yu-Hung Huang

Yanqing Zhang

Shao-Yun Fang

Jiang Hu

Yiran Chen

Erick Carvajal Barboza

ASP-DAC 2020

2019

Dance to Music

Hsin-Ying Lee

Xiaodong Yang

Yu-Ding Lu

Ming-Hsuan Yang

NeurIPS

Few-Shot Video-to-Video Synthesis

Andrew Tao

Guilin Liu

Bryan Catanzaro

NeurIPS

Improved Precision and Recall Metric for Assessing Generative Models

Tuomas Kynkäänniemi

Jaakko Lehtinen

NeurIPS 2019

High-Quality Self-Supervised Deep Image Denoising

Jaakko Lehtinen

NeurIPS 2019

Joint Optimization for Cooperative Image Captioning

Gilad Vered

Gal Oren

International conference on computer vision (ICCV)

MAGNet: A Modular Accelerator Generator for Neural Networks

Sophia Shao

Miaorong Wang

Alicia Klinefelter

Priyanka Raina

International Conference On Computer Aided Design

Neural Inverse Rendering of an Indoor Scene from a Single Image

Soumyadip Sengupta

Jinwei Gu

Kihwan Kim

Guilin Liu

David W. Jacobs

IEEE International Conference on Computer Vision (ICCV 2019)

Few-Shot Adaptive Gaze Estimation

Seonwook Park

Otmar Hilliges

International Conference on Computer Vision

Confidence Regularized Self-Training

Yang Zou

Xiaofeng Liu

B. V. K. Vijaya Kumar

Jinsong Wang

IEEE/CVF International Conference on Computer Vision (ICCV) 2019 (Oral)

Meta-Sim: Learning to Generate Synthetic Datasets

Amlan Kar

Aayush Prakash

Eric Cameracci

Justin Yuan

Matt Rusiniak

David Acuna

Antonio Torralba

Sanja Fidler

ICCV

Neural Turtle Graphics for Modeling City Road Layouts

Hang Chu

Daiqing Li

David Acuna

Amlan Kar

Maria Shugrina

Xinkai Wei

Antonio Torralba

Sanja Fidler

ICCV

Extreme View Synthesis

Inchang Choi

Alejandro Troccoli

Min H. Kim

IEEE International Conference of Computer Vision

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Guandao Yang

Xun Huang

Zekun Hao

Serge Belongie

Bharath Hariharan

ICCV

Simba: Scaling Deep-Learning Inference withMulti-Chip-Module-Based Architecture

Sophia Shao

Jason Clemons

Alicia Klinefelter

Priyanka Raina

52nd IEEE/ACM International Symposium on Microarchitecture

Video Stitching for Linear Camera Arrays

Wei-Sheng Lai

Jinwei Gu

Deqing Sun

Ming-Hsuan Yang

British Machine Vision Conference

GPU-Accelerated Atari Emulation for Reinforcement Learning

Steven Dalton

Michael Garland

Arxiv

ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection

Saurabh Jha

Subho Banerjee

Timothy Tsai

Siva Hari

Mike Sullivan

Zbigniew T. Kalbarczyk

Steve Keckler

Ravishankar K. Iyer

International Conference on Dependable Systems and Networks (DSN-2019)

Joint Discriminative and Generative Learning for Person Re-identification

Zhedong Zheng

Xiaodong Yang

Liang Zheng

Yi Yang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Xitong Yang

Xiaodong Yang

Fanyi Xiao

Larry Davis

CVPR

A Style-Based Generator Architecture for Generative Adversarial Networks

IEEE CVPR 2019

Semantic Image Synthesis with Spatially-Adaptive Normalization

Taesung Park

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Jun-Yan Zhu

CVPR

Anurag Ranjan

Varun Jampani

Lukas Balles

Kihwan Kim

Deqing Sun

Jonas Wulff

Michael J. Black

IEEE CVPR 2019

Pixel-Adaptive Convolutional Neural Networks

Hang Su

Varun Jampani

Deqing Sun

Erik-Learned Miller

Computer Vision and Pattern Recognition (CVPR), 2019

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

Chen Liu

Kihwan Kim

Jinwei Gu

Yasutaka Furukawa

IEEE CVPR 2019 (Oral)

Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Chao Liu

Jinwei Gu

Kihwan Kim

Srinivasa Narasimhan

A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm

IEEE CVPR 2019 (Oral)

Importance Estimation for Neural Network Pruning

CVPR2019

Brian Zimmer

Sophia Shao

Alicia Klinefelter

Priyanka Raina

Symposium on VLSI Circuits Digest of Technical Papers

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

Yibo Lin

Shounak Dhar

Wuxi Li

David Z. Pan

Design Automation Conference (DAC) 2019

PRIMAL: Power Inference using Machine Learning

Yuan Zhou

Zhiru Zhang

Design Automation Conference (DAC)

High Performance Graph Convolutional Networks with Applications in Testability Analysis

Yuzhe Ma

Harbinder Sikka

Lijuan Luo

Karthikeyan Natarajan

Bei Yu

Design Automation Conference (DAC)

Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference

Angad S. Rekhi

Brian Zimmer

Nikola Nedovic

Nigxi Liu

Miaorong Wang

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

William Dally

Tom Gray

Design Automation Conference (DAC)

Sankug Lym

Donghyuk Lee

Niladrish Chatterjee

Mattan Erez

Proceedings of the 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2019)

Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model

Yu-Hung Huang

Zhiyao Xie

Guan-Qi Fang

Tao-Chun Yu

Shao-Yun Fang

Yiran Chen

Jiang Hu

Design, Automation and Test in Europe

Informative Object Annotations: Tell Me Something I Don't Know

Lior Bracha

Computer Vision and Pattern Recognition

Metaoptimization on a Distributed System for Deep Reinforcement Learning

Greg Heinrich

Unsupervised Stylish Image Description Generation via Domain Layer Norm

Cheng-Kuan Chen

Zhu-Feng Pan

Min Sun

AAAI

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

Deqing Sun

Xiaodong Yang

TPAMI

A Fusion Approach for Multi-Frame Optical Flow Estimation

Zhile Ren

Deqing Sun

Ming-Hsuan Yang

Erik B. Sudderth

IEEE Winter conference of Applications of Computer Vision (WACV)

Context-aware Captions from Context-agnostic Supervision

Ramakrishna Vedantam

Samy Bengio

Kevin Murphy

Devi Parikh

Computer Vision and Pattern Recognition

2018

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

Roei Herzig

Moshiko Raboh

Jonathan Berant

Amir Globerson

Neural Information processing systems (NeurIPS)

Learning towards Minimum Hyperspherical Energy

Weiyang Liu

Rongmei Lin

Zhen Liu

Lixin Liu

RouteNet: Routability Prediction for Mixed-size Designs using Convolutional Neural Network

Bo Dai

Le Song

Conference on Neural Information Processing Systems (NeurIPS) 2018

Zhiyao Xie

Yu-Hung Huang

Guan-Qi Fang

Shao-Yun Fang

Yiran Chen

Hu Jiang

International Conference On Computer Aided Design

Hand Pose Estimation via Latent 2.5 D Heatmap Regression

Juergen Gall

ECCV2018

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo

Todd Zickler

ECCV 2018

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

Zhaoyang Lv

Kihwan Kim

Alejandro Troccoli

Deqing Sun

James M. Rehg

European Conference on Computer Vision (ECCV 2018)

Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

Yang Zou

B. V. K. Vijaya Kumar

Jinsong Wang

European Conference on Computer Vision (ECCV) 2018

Switchable Temporal Propagation Network

Guangyu Zhong

Jinwei Gu

Varun Jampani

ECCV 2018

Image Inpainting for Irregular Holes Using Partial Convolutions

Guilin Liu

Fitsum A. Reda

Kevin Shih

Andrew Tao

Bryan Catanzaro

ECCV

A Closed-form Solution to Photorealistic Image Stylization

Yijun Li

Xueting Li

Ming-Hsuan Yang

ECCV

Multimodal Unsupervised Image-to-Image Translation

Xun Huang

Serge Belongie

ECCV

Superpixel Sampling Networks

Varun Jampani

Deqing Sun

Ming-Hsuan Yang

European Conference on Computer Vision (ECCV), 2018

Machine Learning and Rendering

Alex Keller

Jaroslav Křivánek

Jan Novák

Anton Kaplanyan

Marco Salvi

ACM SIGGRAPH 2018 Courses

Noise2Noise: Learning Image Restoration without Clean Data

Jaakko Lehtinen

Miika Aittala

Proc. ICML 2018

Light-weight Head Pose Invariant Gaze Tracking

Rajeev Ranjan

IEEE Computer Vision and Pattern Recognition Workshop

MoCoGAN: Decomposing Motion and Content for Video Generation

Sergey Tulyakov

Xiaodong Yang

CVPR

Improving Landmark Localization with Semi-Supervised Learning

Sina Honari

Pascal Vincent

Christopher Pal

CVPR

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

Shanxin Yuan

Guillermo Garcia-Hernando

Bjorn Stenger

Sina Honari

Conference on Computer Vision and Pattern Recognition

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su

Varun Jampani

Deqing Sun

Subhransu Maji

Evangelos Kalogerakis

Ming-Hsuan Yang

CVPR 2018 (oral)

Making Convolutional Networks Recurrent for Visual Sequence Learning

Xiaodong Yang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Geometry-Aware Learning of Maps for Camera Localization

Samarth Brahmbhatt

Jinwei Gu

Kihwan Kim

James Hays

CVPR 2018 (Spotlight)

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Jun-Yan Zhu

Andrew Tao

Bryan Catanzaro

CVPR

Decoupled Networks

Weiyang Liu

Zhen Liu

Bo Dai

Rongmei Lin

Yisen Wang

James M. Rehg

Le Song

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Deqing Sun

Xiaodong Yang

CVPR

Learning Strict Identity Mappings in Deep Residual Networks

Xin Yu

Srikumar Ramalingam

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018

Deep Semantic Face Deblurring

Ziyi Shen

Wei-Sheng Lai

Tingfa Xu

Ming-Hsuan Yang

IEEE Computer Vision and Pattern Recognition (CVPR)

Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning

The conference on uncertainty in artificial intelligence (UAI 2018)

Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

Huaijin Chen

Jinwei Gu

Ashok Veeraraghavan

IEEE International Conference on Computational Photography (ICCP)

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Jaakko Lehtinen

ICLR 2018

IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

Sam Leroux

Pieter Simoens

Bart Dhoedt

Thomas Breuel

Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study

International Conference on Learning Representations, Workshop

Demjan Grubic

Leo Tam

Dan Alistarh

Ce Zhang

EDBT 2018

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Minsoo Rhu

Niladrish Chatterjee

Jeff Pool

Youngeun Kwon

Steve Keckler

Proceedings of the 24th IEEE International Symposium on High Performance Computer Architecture (HPCA 2018)

Learning Binary Residual Representations for Domain-specific Video Streaming

Yi-Hsuan Tsai

Deqing Sun

Ming-Hsuan Yang

AAAI

Learning Adaptive Parameter Tuning for Image Processing

Jingming Dong

Electronic Imaging 2018, Image Processing: Algorithms and Systems XVI, Burlingame, USA, 28 Jan - 2 Feb 2018.

2017

Parallel Complexity of Forward and Backward Propagation

Maxim Naumov

arXiv:1712.06577 [cs.LG]

Machine Learning and Integral Equations

Ken Dahm

Alex Keller

Machine Learning and Integral Equations

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

Aditya Devarakonda

Maxim Naumov

Michael Garland

arXiv:1712.02029 [cs.LG]

Unsupervised Image-to-Image Translation Networks

Thomas Breuel

NIPS

Learning Affinity via Spatial Propagation Networks

Jinwei Gu

Guangyu Zhong

Ming-Hsuan Yang

Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications

Conference on Neural Information Processing Systems NIPS 2017

Guanpeng Li

Karthik Pattabiraman

The International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

Parallel Jaccard and Related Graph Clustering Techniques

Alexandre Fender

Nahid Emad

Serge Petiton

Joe Eaton

Maxim Naumov

Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '17)

Learning to Super-Resolve Blurry Face and Text Images

Xiangyu Xu

Deqing Sun

Jinshan Pan

Yujin Zhang

Hanspeter Pfister

Ming-Hsuan Yang

International Conference on Computer Vision

A Lightweight Approach for On-the-Fly Reflectance Estimation

Kihwan Kim

Jinwei Gu

Matthias Nießner

IEEE International Conference on Computer Vision (ICCV 2017)

Group online adaptive learning

Alon Zweig

Journal Machine Learning

Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form

Maxim Naumov

arXiv:1709.06080 [cs.LG]

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

Yen-Chen Lin

Zhang-Wei Hong

Yuan-Hong Liao

Meng-Li Shi

Min Sun

IJCAI

Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion

Antti Herva

Jaakko Lehtinen

SIGGRAPH 2017

Parallel Modularity Clustering

Alexandre Fender

Nahid Emad

Serge Petiton

Maxim Naumov

Procedia Computer Science (Elsevier)

Pruning Convolutional Neural Networks for Resource Efficient Inference

International Conference on Learning Representations (ICLR 2017)

Learning From Noisy Large-Scale Datasets With Minimal Supervision

Andreas Veit

Neil Alldrin

Ivan Krasin

Abhinav Gupta

Serge Belongie

Computer Vision and Pattern Recognition

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Mohammad Babaeizadeh

Proceeding of ICLR 2017

Loss Functions for Image Restoration with Neural Networks

Hang Zhao

IEEE Transactions on Computational Imaging

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

Yang Shi

U. N. Niranjan

Animashree Anandkumar

Cris Cecka

2016 IEEE 23rd International Conference on High Performance Computing (HiPC)

Temporal Ensembling for Semi-Supervised Learning

ICLR 2017

Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification

Xiaodong Yang

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

ACM Multimedia

Xiaodong Yang

Shalini Gupta

Kihwan Kim

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016

Parallel Spectral Graph Partitioning

Maxim Naumov

Timothy Moon

Technical Report NVR-2016-001

2015

Compressing Neural Networks with the Hashing Trick

Wenlin Chen

James T. Wilson

Kilian Q. Weinberger

Yixin Chen

Proceedings of The 32nd International Conference on Machine Learning

Hand Gesture Recognition with 3D Convolutional Neural Networks

Shalini Gupta

Kihwan Kim

IEEE Computer Vision and Pattern Recognition (CVPR 2015) Workshop on Hand gesture recognition

Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing

Shalini Gupta

Kihwan Kim

Kari Pulli

IEEE International Radar Conference

Multi-sensor System for Driver’s Hand-Gesture Recognition

Shalini Gupta

Kihwan Kim

Kari Pulli

IEEE International Conference on Automatic Face and Gesture Recogntion (FG2015)

Adaptive Segmentation based on a Learned Quality Metric

Ed Ratner

Proceedings of the 10th International Conference on Computer Vision Theory and Applications

Machine Learning for Adaptive Bilateral Filtering