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Research Labs
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3D Deep Learning
Applied Research
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(151)
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(135)
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(107)
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(85)
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(57)
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(52)
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(23)
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(26)
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(20)
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(29)
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(19)
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(9)
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(13)
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Artificial Intelligence and Machine Learning
(427)
Computer Vision
(304)
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(294)
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(222)
Robotics
(106)
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(101)
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(98)
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(90)
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(86)
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(77)
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(61)
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(61)
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(49)
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(49)
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(46)
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(39)
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(35)
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(26)
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(22)
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(38)
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(5)
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(9)
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(13)
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(28)
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2017
Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination
Christoph Schied, Anton Kaplanyan,
Chris Wyman
, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher,
Aaron Lefohn
,
Marco Salvi
Exploiting Budan-Fourier and Vincent’s Theorems for Ray Tracing 3D Bézier Curves
Alexander Reshetov
An Efficient Denoising Algorithm for Global Illumination
Michael Mara, Morgan McGuire, Benedikt Bitterli, Wojciech Jarosz
Interactive Stable Ray Tracing
Alessandro Dal Corso,
Marco Salvi
,
Craig Kolb
, Jeppe Revall Frisvad,
Aaron Lefohn
,
David Luebke
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
Jinwei Gu
, Xiaodong Yang,
Shalini De Mello
,
Jan Kautz
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360 Sports Videos
Hou-Ning Hu, Yen-Chen Lin,
Ming-Yu Liu
, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
Samuli Laine
,
Tero Karras
,
Timo Aila
, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen
Light Fields for Near-eye Displays
Fu-Chung Huang
Polarimetric Multi-view Stereo
Zhaopeng Cui,
Jinwei Gu
, Boxin Shi, Ping Tan,
Jan Kautz
Fusing State Spaces for Markov Chain Monte Carlo Rendering
Hisanari Otsu, Anton Kaplanyan, Johannes Hanika, Carsten Dachsbacher, Toshiya Hachisuka
Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
Chakravarty R. Alla Chaitanya, Anton Kaplanyan, Christoph Schied,
Marco Salvi
,
Aaron Lefohn
, Derek Nowrouzezahrai,
Timo Aila
Computational Zoom: A Framework for Post-Capture Image Composition
Abhishek Badki,
Orazio Gallo
,
Jan Kautz
, Pradeep Sen
Reconstructing Intensity Images from Binary Spatial Gradient Cameras
Suren Jayasuriya,
Orazio Gallo
,
Jinwei Gu
,
Timo Aila
,
Jan Kautz
Generating stratified random lines in a square
Peter Shirley,
Chris Wyman
MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability
Akhil Arunkumar , Evgeny Bolotin, Benjamin Cho, Ugljesa Milic , Eiman Ebrahimi,
Oreste Villa
,
Aamer Jaleel
, Carole-Jean Wu ,
David Nellans
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar
, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli,
Rangharajan Venkatesan
,
Brucek Khailany
,
Joel Emer
,
Steve Keckler
,
William Dally
Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism
Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying,
Joel Emer
, Daniel Sanchez
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms
Kevin Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal,
Niladrish Chatterjee
, Abhijith Kashyap,
Donghyuk Lee
,
Mike O'Connor
, Hasan Hassan, Onur Mutlu
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms
Donghyuk Lee
, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu
Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors
Benjamin Klenk, Holger Fröning,
Hans Eberle
,
Larry Dennison
Best Paper Award
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal,
Niladrish Chatterjee
, Abhijith Kashyap,
Donghyuk Lee
,
Mike O'Connor
, Hasan Hassan, Onur Mutlu
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar
, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli,
Rangharajan Venkatesan
,
Brucek Khailany
,
Joel Emer
,
Steve Keckler
,
William Dally
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu,
Mike O'Connor
,
Niladrish Chatterjee
, Jeff Pool,
Stephen W. Keckler
The Iray Light Transport Simulation and Rendering System
Alex Keller
, Carsten Wächter, Matthias Raab, Daniel Seibert, Dietger van Antwerpen, Johann Korndörfer, Lutz Kettner
SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
Siva Hari
, Timothy Tsai,
Mark Stephenson
,
Steve Keckler
,
Joel Emer
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov
,
Stephen Tyree
,
Tero Karras
,
Timo Aila
,
Jan Kautz
Consistent Video Filtering for Camera Arrays
Nicolas Bonneel, James Tompkin, Deqing Sun, Oliver Wang, Kalyan Sunkavalli, Sylvain Paris, Hanspeter Pfister
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh,
Gal Chechik
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin,
Gal Chechik
, Ivan Krasin, Abhinav Gupta, Serge Belongie
Automated Synthesis of Comprehensive Memory Model Litmus Test Suites
Daniel Lustig
, Andrew Wright, Alexandros Papakonstantinou, Olivier Giroux
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar,
Daniel Lustig
,
Michael Pellauer
, Margaret Martonosi
IEEE Micro Top Picks in Computer Architecture
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