People

Iuri Frosio

Iuri Frosio got his PhD in biomedical engineering at the Politecnico of Milan in 2006. He was a research fellow at the Computer Science Department of the University of Milan from 2003 and an assistant professor in the same department from 2006 to 2013. In the same period, he worked as a consultant for various companies in Italy and in the US. He joined NVIDIA in 2014 as senior research scientist, and since 2021 he has the role of principal research scientist. His research interests include image processing, computer vision, robotics, parallel programming, machine learning, and reinforcement learning.

Research Area(s)
Artificial Intelligence and Machine Learning
Computational Photography and Imaging
Computer Vision
High Performance Computing
Robotics
Google Scholar
https://scholar.google.com/citations?user=PCJJ8LkAAAAJ&hl=en

Publications

2024

Learning to Move Like Professional Counter-Strike Players
David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian
The 23rd ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2024)

2023

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Danny Yin, Qifeng Chen, Jan Kautz, Iuri Frosio
Arxiv
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
Iuri Frosio, Jan Kautz
CVPR 2023

2022

Augmenting Legacy Networks for Flexible Inference.
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Steve Keckler
Workshop on Computational Aspects of Deep Learning (CADL)

2021

Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission
Iuri Frosio, Aldo Marzullo, Martina Golini, Elena De Momi, Michele Catellani, Francesco Calimeri, Giuseppe Fiameni
AIABI-2021 Italian Workshop on Artificial Intelligence and Applications for Bus…
Noise-Aware Video Saliency Prediction
Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef Spjut, Pradeep Sen, Iuri Frosio
The British Machine Vision Conference (BMVC) - 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE Intelligent Vehicles Symposium (IV)
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda, Iuri Frosio, Seth Schenider, Morgan McGuire, Joohwan Kim
I3D ’21
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
arXiv

2020

Accelerating Reinforcement Learning through GPU Atari Emulation
Iuri Frosio, Steven Dalton
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE International Workshop on Automotive Reliability & Test (ART)
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE Automotive Reliability and Test Workshop
PyTorchFI: A Runtime Perturbation Tool for DNNs
Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Hari
Workshop on Dependable and Secure Machine Learning
How to close sim-real gap? transfer with segmentation!
Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
arxiv

2019

GPU-Accelerated Atari Emulation for Reinforcement Learning
Steven Dalton, Iuri Frosio, Michael Garland
Arxiv
Importance Estimation for Neural Network Pruning
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
CVPR2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Greg Heinrich, Iuri Frosio

2018

Statistical Nearest Neighbors for Image Denoising
Iuri Frosio, Jan Kautz
IEEE Transaction on Image Processing, Feb. 2019
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, Jan Kautz
ECCV 2018
Learning Adaptive Parameter Tuning for Image Processing
Jingming Dong, Iuri Frosio, Jan Kautz
Electronic Imaging 2018, Image Processing: Algorithms and Systems XVI, Burlinga…

2017

On Nearest Neighbors in Non Local Means Denoising
Iuri Frosio, Jan Kautz
Neural Information Processing Systems (NIPS) 2017 Workshop on Nearest Neighbors…
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz
NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges in …
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz, Mohammad Babaeizadeh
Proceeding of ICLR 2017
Loss Functions for Image Restoration with Neural Networks
Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz
IEEE Transactions on Computational Imaging

2016

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
arXiv
A Patch Memory System For Image Processing and Computer Vision.
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel Johnson, Steve Keckler
International Symposium on Microarchitecture (MICRO)
A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications
Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Steve Keckler
Design Automation Conference (DAC)

2015

Robust Model-based 3D Head Pose Estimation
Gregory P Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz
IEEE International Conference on Computer Vision (ICCV) 2015
Retrieving Gray-Level Information from a Binary Sensor and its Application to Gesture Detection
Orazio Gallo, Iuri Frosio, Leonardo Gasparini, Kari Pulli, Massimo Gottardi
IEEE Computer Vision and Pattern Recognition (CVPR 2015), Embedded Vision Works…
Camera Re-calibration after Zooming based on Sets of Conics
Iuri Frosio, Cristina Turrini, Alberto Alzati
The Visual Computer
Adaptive Segmentation based on a Learned Quality Metric
Iuri Frosio, Ed Ratner
Proceedings of the 10th International Conference on Computer Vision Theory and …
Machine Learning for Adaptive Bilateral Filtering
Iuri Frosio, Karen Egiazarian, Kari Pulli
Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII