  Iuri Frosio  

 



  ![](/sites/default/files/person/if.png)

  

 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 ](/research-area/machine-learning-artificial-intelligence)

[Computational Photography and Imaging](/research-area/computational-photography-imaging)

[Computer Vision](/research-area/computer-vision)

[High Performance Computing](/research-area/high-performance-computing)

[Robotics](/research-area/robotics)

 

 

  

 Google Scholar

[https://scholar.google.com/citations?user=PCJJ8LkAAAAJ&amp;hl=en](https://scholar.google.com/citations?user=PCJJ8LkAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[Modeling Visually-Guided Aim-and-Shoot behavior in First-Person Shoters](/index.php/publication/2025-04_modeling-visually-guided-aim-and-shoot-behavior-first-person-shoters)

June-Seop Yoon, Hee-Seung Moon, [Ben Boudaoud](/index.php/person/ben-boudaoud), [Josef Spjut](/index.php/person/josef-spjut), [Iuri Frosio](/index.php/person/iuri-frosio), Byungjoo Lee, [Joohwan Kim](/index.php/person/joohwan-kim)



[International Journal of Human-Computer Studies](https://doi.org/10.1016/j.ijhcs.2025.103503)









### 2024 

[Learning to Move Like Professional Counter-Strike Players](/index.php/publication/2024-09_learning-move-professional-counter-strike-players)

David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, [Iuri Frosio](/index.php/person/iuri-frosio), [Chen Tessler](/index.php/person/chen-tessler), [Joohwan Kim](/index.php/person/joohwan-kim), C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian



[The 23rd ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2024)](https://computeranimation.org/program.html)









### 2023 

[Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection](/publication/2023-08_online-overexposed-pixels-hallucination-videos-adaptive-reference-frame)

Yazhou Xing, [Amrita Mazumdar](/person/amrita-mazumdar), Anjul Patney, [Chao Liu](/person/chao-liu), [Hongxu Danny Yin](/person/danny-yin), Qifeng Chen, [Jan Kautz](/person/jan-kautz), [Iuri Frosio](/person/iuri-frosio)



[Arxiv](https://arxiv.org/abs/2308.15462)









[The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks](/index.php/publication/2023-05_best-defense-good-offense-adversarial-augmentation-against-adversarial-attacks)

[Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



[CVPR 2023](https://cvpr2023.thecvf.com/)









### 2022 

[Augmenting Legacy Networks for Flexible Inference.](/publication/2022-10_augmenting-legacy-networks-flexible-inference)

[Jason Clemons](/person/jason-clemons), [Iuri Frosio](/person/iuri-frosio), Maying Shen, Jose M. Alvarez, [Steve Keckler](/person/stephen-keckler)



[Workshop on Computational Aspects of Deep Learning (CADL)](https://ailb-web.ing.unimore.it/cadl2022/)









### 2021 

[Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission](/index.php/publication/2021-11_standard-vs-learning-based-codecs-real-time-endoscopic-video-transmission)

[Iuri Frosio](/index.php/person/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…](http://ceur-ws.org/Vol-3102/)









[Noise-Aware Video Saliency Prediction](/index.php/publication/2021-11_noise-aware-video-saliency-prediction)

[Ekta Prashnani](/index.php/person/ekta-prashnani), Orazio Gallo, [Joohwan Kim](/index.php/person/joohwan-kim), [Josef Spjut](/index.php/person/josef-spjut), Pradeep Sen, [Iuri Frosio](/index.php/person/iuri-frosio)



[The British Machine Vision Conference (BMVC) - 2021](https://www.bmvc2021.com/)









[Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction](/publication/2021-10_improve-agents-without-retraining-parallel-tree-search-policy-correction)

[Gal Dalal](/person/gal-dalal), [Assaf Hallak](/person/assaf-hallak), [Steven Dalton](/person/steven-dalton), [Iuri Frosio](/person/iuri-frosio), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[Advances in Neural Information Processing Systems 34 (NeurIPS 2021)](https://nips.cc/Conferences/2021/)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2021-07_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE Intelligent Vehicles Symposium (IV)](https://ieeexplore.ieee.org/document/9576023)









[Robust Vision-Based Cheat Detection in Competitive Gaming](/index.php/publication/2021-03_robust-vision-based-cheat-detection-competitive-gaming)

Aditya Jonnalagadda, [Iuri Frosio](/index.php/person/iuri-frosio), Seth Schenider, Morgan McGuire, [Joohwan Kim](/index.php/person/joohwan-kim)



[I3D ’21](http://i3dsymposium.github.io/2021/)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2021-03_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[arXiv](https://arxiv.org/abs/2103.07403)









### 2020 

[Accelerating Reinforcement Learning through GPU Atari Emulation](/publication/2020-12_accelerating-reinforcement-learning-through-gpu-atari-emulation)

[Iuri Frosio](/person/iuri-frosio), [Steven Dalton](/person/steven-dalton)



[Advances in Neural Information Processing Systems 33 (NeurIPS 2020)](https://nips.cc/Conferences/2020)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2020-11_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles-0)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE International Workshop on Automotive Reliability &amp; Test (ART)](https://www.ieee-tttc.org/ebshistory/2020/%5BPUB%5D%5BART_2020%5D_Fifth_IEEE_International_Workshop_on_Automotive_Reliability_&_Test_-_CALL_FOR_SUBMISSIONS_-_%22IEEE_TTTC's_EBS%22_%3Cebs@ieee-tttc.org%3E_-_2020-09-08_1209.eml.html)









[Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles](/publication/2020-11_generating-and-characterizing-scenarios-safety-testing-autonomous-vehicles)

Zahra Ghodsi, [Siva Hari](/person/siva-hari), [Iuri Frosio](/person/iuri-frosio), Timothy Tsai, Alejandro Troccoli, [Steve Keckler](/person/stephen-keckler), Siddharth Garg, Anima Anandkumar



[IEEE Automotive Reliability and Test Workshop](http://cas.polito.it/ART2020/)









[PyTorchFI: A Runtime Perturbation Tool for DNNs](/publication/2020-06_pytorchfi-runtime-perturbation-tool-dnns)

Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, [Iuri Frosio](/person/iuri-frosio), [Siva Hari](/person/siva-hari)



[Workshop on Dependable and Secure Machine Learning](https://ieeexplore.ieee.org/document/9151812)









[How to close sim-real gap? transfer with segmentation!](/publication/2020-05_how-close-sim-real-gap-transfer-segmentation)

Mengyuan Yan, Qingyun Sun, [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jan Kautz](/person/jan-kautz)



arxiv









### 2019 

[GPU-Accelerated Atari Emulation for Reinforcement Learning](/publication/2019-07_gpu-accelerated-atari-emulation-reinforcement-learning)

[Steven Dalton](/person/steven-dalton), [Iuri Frosio](/person/iuri-frosio), [Michael Garland](/person/michael-garland)



[Arxiv](https://arxiv.org/abs/1907.08467)









[Importance Estimation for Neural Network Pruning](/index.php/publication/2019-06_importance-estimation-neural-network-pruning)

[Pavlo Molchanov](/index.php/person/pavlo-molchanov), Arun Mallya, [Stephen Tyree](/index.php/person/stephen-tyree), [Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



CVPR2019









[Metaoptimization on a Distributed System for Deep Reinforcement Learning](/index.php/publication/2019-02_metaoptimization-distributed-system-deep-reinforcement-learning)

Greg Heinrich, [Iuri Frosio](/index.php/person/iuri-frosio)













### 2018 

[Statistical Nearest Neighbors for Image Denoising](/index.php/publication/2018-09_statistical-nearest-neighbors-image-denoising)

[Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Transaction on Image Processing, Feb. 2019](https://ieeexplore.ieee.org/document/8463600)









[Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset](/index.php/publication/2018-09_tackling-3d-tof-artifacts-through-learning-and-flat-dataset)

Qi Guo, [Iuri Frosio](/index.php/person/iuri-frosio), Orazio Gallo, Todd Zickler, [Jan Kautz](/index.php/person/jan-kautz)



[ECCV 2018](https://eccv2018.org/)









[Learning Adaptive Parameter Tuning for Image Processing](/index.php/publication/2018-01_learning-adaptive-parameter-tuning-image-processing)

Jingming Dong, [Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



[Electronic Imaging 2018, Image Processing: Algorithms and Systems XVI, Burlinga…](https://arxiv.org/abs/1610.09414v2)









### 2017 

[Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control](/index.php/publication/2017-12_sim-real-transfer-accurate-grasping-eye-hand-observations-and-continuous)

Mengyuan Yan, [Iuri Frosio](/index.php/person/iuri-frosio), [Stephen Tyree](/index.php/person/stephen-tyree), [Jan Kautz](/index.php/person/jan-kautz)



[NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges in …](https://sites.google.com/view/nips17robotlearning/home)









[On Nearest Neighbors in Non Local Means Denoising](/index.php/publication/2017-12_nearest-neighbors-non-local-means-denoising)

[Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



[Neural Information Processing Systems (NIPS) 2017 Workshop on Nearest Neighbors…](https://nn2017.mit.edu/)









[Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2017-04_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu)

[Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz), Mohammad Babaeizadeh



[Proceeding of ICLR 2017](https://openreview.net/pdf?id=r1VGvBcxl)









[Loss Functions for Image Restoration with Neural Networks](/index.php/publication/2017-03_loss-functions-image-restoration-neural-networks)

Hang Zhao, Orazio Gallo, [Iuri Frosio](/index.php/person/iuri-frosio), [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Transactions on Computational Imaging](http://ieeexplore.ieee.org/document/7797130/)









### 2016 

[Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU](/publication/2016-11_reinforcement-learning-through-asynchronous-advantage-actor-critic-gpu)

Mohammad Babaeizadeh, [Iuri Frosio](/person/iuri-frosio), [Stephen Tyree](/person/stephen-tyree), [Jason Clemons](/person/jason-clemons), [Jan Kautz](/person/jan-kautz)



[arXiv](https://arxiv.org/abs/1611.06256)









[A Patch Memory System For Image Processing and Computer Vision.](/publication/2016-10_patch-memory-system-image-processing-and-computer-vision)

[Jason Clemons](/person/jason-clemons), Chih-Chi Cheng, [Iuri Frosio](/person/iuri-frosio), Daniel Johnson, [Steve Keckler](/person/stephen-keckler)



[International Symposium on Microarchitecture (MICRO)](https://ieeexplore.ieee.org/document/7783754)









[A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications](/index.php/publication/2016-06_real-time-energy-efficient-superpixel-hardware-accelerator-mobile-computer)

Injoon Hong, [Jason Clemons](/index.php/person/jason-clemons), [Rangharajan Venkatesan](/index.php/person/rangharajan-venkatesan), [Iuri Frosio](/index.php/person/iuri-frosio), [Brucek Khailany](/index.php/person/brucek-khailany), [Steve Keckler](/index.php/person/stephen-keckler)



[Design Automation Conference (DAC)](http://dl.acm.org/citation.cfm?id=2897974)









### 2015 

[Robust Model-based 3D Head Pose Estimation](/publication/2015-12_robust-model-based-3d-head-pose-estimation)

Gregory P Meyer, [Shalini Gupta](/person/shalini-de-mello), [Iuri Frosio](/person/iuri-frosio), Dikpal Reddy, [Jan Kautz](/person/jan-kautz)



[IEEE International Conference on Computer Vision (ICCV) 2015](http://pamitc.org/iccv15/)









[Retrieving Gray-Level Information from a Binary Sensor and its Application to Gesture Detection](/index.php/publication/2015-06_retrieving-gray-level-information-binary-sensor-and-its-application-gesture)

Orazio Gallo, [Iuri Frosio](/index.php/person/iuri-frosio), Leonardo Gasparini, Kari Pulli, Massimo Gottardi



[IEEE Computer Vision and Pattern Recognition (CVPR 2015), Embedded Vision Works…](http://www.pamitc.org/cvpr15/)









[Camera Re-calibration after Zooming based on Sets of Conics](/index.php/publication/2015-05_camera-re-calibration-after-zooming-based-sets-conics)

[Iuri Frosio](/index.php/person/iuri-frosio), Cristina Turrini, Alberto Alzati



[The Visual Computer](http://link.springer.com/article/10.1007%2Fs00371-015-1089-8)









[Adaptive Segmentation based on a Learned Quality Metric](/index.php/publication/2015-03_adaptive-segmentation-based-learned-quality-metric)

[Iuri Frosio](/index.php/person/iuri-frosio), Ed Ratner



[Proceedings of the 10th International Conference on Computer Vision Theory and …](http://www.visapp.visigrapp.org/)









[Machine Learning for Adaptive Bilateral Filtering](/index.php/publication/2015-02_machine-learning-adaptive-bilateral-filtering)

[Iuri Frosio](/index.php/person/iuri-frosio), Karen Egiazarian, Kari Pulli



[Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII](http://spie.org/EI/conferencedetails/image-processing-algorithms-systems#2077733)