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Iuri Frosio
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Publications
- 2023
- [c29]Iuri Frosio, Jan Kautz:
The Best Defense is a Good Offense: Adversarial Augmentation Against Adversarial Attacks. CVPR 2023: 4067-4076 - [c28]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. IV 2023: 1-8 - [i16]Iuri Frosio, Jan Kautz:
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks. CoRR abs/2305.14188 (2023) - [i15]Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio:
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection. CoRR abs/2308.15462 (2023) - 2022
- [c27]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) 2022: 84-98 - 2021
- [j14]Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim:
Robust Vision-Based Cheat Detection in Competitive Gaming. Proc. ACM Comput. Graph. Interact. Tech. 4(1): 7:1-7:18 (2021) - [c25]Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef B. Spjut, Pradeep Sen, Iuri Frosio:
Noise-Aware Video Saliency Prediction. BMVC 2021: 75 - [c24]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV 2021: 157-164 - [c23]Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS 2021: 5518-5530 - [i14]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR abs/2103.07403 (2021) - [i13]Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim:
Robust Vision-Based Cheat Detection in Competitive Gaming. CoRR abs/2103.10031 (2021) - [i12]Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef B. Spjut, Pradeep Sen, Iuri Frosio:
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data. CoRR abs/2104.08038 (2021) - [i11]Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR abs/2107.01715 (2021) - 2020
- [c22]Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Kumar Sastry Hari:
PyTorchFI: A Runtime Perturbation Tool for DNNs. DSN Workshops 2020: 25-31 - [c21]Steven Dalton, Iuri Frosio:
Accelerating Reinforcement Learning through GPU Atari Emulation. NeurIPS 2020 - [i10]Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz:
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR abs/2005.07695 (2020) - 2019
- [j13]Iuri Frosio, Jan Kautz:
Statistical Nearest Neighbors for Image Denoising. IEEE Trans. Image Process. 28(2): 723-738 (2019) - [c20]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CVPR 2019: 11264-11272 - [c19]Greg Heinrich, Iuri Frosio:
Metaoptimization on a Distributed System for Deep Reinforcement Learning. MLHPC@SC 2019: 19-30 - [i9]Greg Heinrich, Iuri Frosio:
Metaoptimization on a Distributed System for Deep Reinforcement Learning. CoRR abs/1902.02725 (2019) - [i8]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CoRR abs/1906.10771 (2019) - [i7]Steven Dalton, Iuri Frosio, Michael Garland:
GPU-Accelerated Atari Emulation for Reinforcement Learning. CoRR abs/1907.08467 (2019) - 2018
- [c18]Qi Guo, Iuri Frosio, Orazio Gallo, Todd E. Zickler, Jan Kautz:
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset. ECCV (1) 2018: 381-396 - [c17]Jingming Dong, Iuri Frosio, Jan Kautz:
Learning Adaptive Parameter Tuning for Image Processing. Image Processing: Algorithms and Systems 2018 - [i6]Qi Guo, Iuri Frosio, Orazio Gallo, Todd E. Zickler, Jan Kautz:
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset. CoRR abs/1807.10376 (2018) - 2017
- [j12]Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz:
Loss Functions for Image Restoration With Neural Networks. IEEE Trans. Computational Imaging 3(1): 47-57 (2017) - [c16]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) 2017 - [i5]Iuri Frosio, Jan Kautz:
On Nearest Neighbors in Non Local Means Denoising. CoRR abs/1711.07568 (2017) - [i4]Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz:
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control. CoRR abs/1712.03303 (2017) - 2016
- [c15]Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler:
A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications. DAC 2016: 95:1-95:6 - [c14]Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel R. Johnson, Stephen W. Keckler:
A patch memory system for image processing and computer vision. MICRO 2016: 51:1-51:13 - [i3]Jingming Dong, Iuri Frosio, Jan Kautz:
Learning Adaptive Parameter Tuning for Image Processing. CoRR abs/1610.09414 (2016) - [i2]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR abs/1611.06256 (2016) - 2015
- [c13]Orazio Gallo, Iuri Frosio, Leonardo Gasparini, Kari Pulli, Massimo Gottardi:
Retrieving gray-level information from a Binary Sensor and its application to gesture detection. CVPR Workshops 2015: 21-26 - [c12]Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz:
Robust Model-Based 3D Head Pose Estimation. ICCV 2015: 3649-3657 - [c11]Iuri Frosio, Karen O. Egiazarian, Kari Pulli:
Machine learning for adaptive bilateral filtering. Image Processing: Algorithms and Systems 2015: 939908 - [i1]Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz:
Loss Functions for Neural Networks for Image Processing. CoRR abs/1511.08861 (2015)
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