Publications

Our publications provide insight into some of our leading-edge research.

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2017

Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion
Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
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
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
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
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz, Mohammad Babaeizadeh
Loss Functions for Image Restoration with Neural Networks
Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
Learning to generalize to new compositions in image understanding
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik
Towards Selecting Robust Hand Gestures for Automotive Interfaces
Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Stephen Tyree, Jan Kautz
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
Yu-Hsin Chen, Joel Emer, Vivienne Sze
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
Pavlo Molchanov, Xiaodong Yang, Shaline Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz
Parallel Spectral Graph Partitioning
Maxim Naumov, Timothy Moon
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler

2015

Learning Sparse Metrics, One Feature at a Time
Yuval Atzmon, Uri Shalit, Gal Chechik
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Hand Gesture Recognition with 3D Convolutional Neural Networks
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Jan Kautz
Winner (1st place) Hand Gesture Recognition Challenge
Multi-sensor System for Driver’s Hand-Gesture Recognition
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli
Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli
Adaptive Segmentation based on a Learned Quality Metric
Iuri Frosio, Ed Ratner
Machine Learning for Adaptive Bilateral Filtering
Iuri Frosio, Karen Egiazarian, Kari Pulli

2014

cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer
MesoGAN: Generative Neural Reflectance Shells
Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis
Graph Positional Encoding via Random Feature Propagation
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron