ORAZIO GALLO

I am a Principal Research Scientist at NVIDIA Research. I am interested in computational imaging, computer vision, deep learning and, in particular, in the intersection of the three. Alongside topics such as view synthesis and 3D vision, my recent interests also include integrating traditional computer vision and computational imaging knowledge into deep learning architectures. I am also an associate editor of the IEEE Transactions on Computational Imaging, and a member of the IEEE Computational Imaging Technical Committee. From 2015 to 2017 I was an associate editor for Signal processing: Image Communication. I received my Ph.D. in Computer Engineering from the University of California, Santa Cruz in 2011, and my Masters in Biomedical Engineering from Politecnico di Milano, Italy.

I'm always looking for great interns so reach out to me if you're interested!

You can reach me at orazio "at" soe "dot" ucsc "dot" edu
On Twitter: @0razio

News

Publications (since 2012)

Video Stitching for Linear Camera Arrays, Wei-Sheng (Jason) Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, and Jan Kautz, BMVC 2019
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Pixel-Adaptive Convolutional Neural Networks, Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik-Learned Miller, and Jan Kautz, CVPR 2019
project page (with code)
A Fusion Approach for Multi-Frame Optical Flow Estimation, Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, and Jan Kautz, WACV 2019
project page (with code)
Separating Reflection and Transmission Images in the Wild, P. Wieschollek, O. Gallo, J. Gu, and J. Kautz, ECCV 2018
project page (with code)
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset, Q. Guo, I. Frosio, O. Gallo, T. Zickler, and J. Kautz, ECCV 2018
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Reblur2Deblur: Deblurring Videos via Self-Supervised Learning, H. Chen, J. Gu, O. Gallo, M. Liu, A. Veeraraghavan, and J. Kautz, IEEE ICCP 2018
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Computational Zoom: A Framework for Post-Capture Image Composition, A. Badki, O. Gallo, J. Kautz, and P. Sen, ACM SIGGRAPH 2017
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Loss Functions for Image Restoration with Neural Networks, H. Zhao, O. Gallo, I. Frosio, and J. Kautz, IEEE Transactions on Computational Imaging, 2017
project page (with code)
Reconstructing Intensity Images from Binary Spatial Gradient Cameras, S. Jayasuriya, O. Gallo, J. Gu, T. Aila, and J. Kautz, Embedded Vision Workshop, CVPR 2017
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Stack-Based Algorithms for HDR Capture and Reconstruction, O. Gallo and P. Sen, Chapter in the book "High Dynamic Range Video: From Acquisition, to Display and Applications," Academic Press, 2016
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Simulating the Visual Experience of Very Bright and Very Dark Scenes, D. Jacobs, O. Gallo, E. Cooper, K. Pulli, and M. Levoy, ACM Transactions on Graphics, 2015
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Locally Non-rigid Registration for Mobile HDR Photography, O. Gallo, A. Troccoli, J. Hu, K. Pulli, and J. Kautz, Embedded Vision Workshop, CVPR 2015
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Retrieving Gray-Level Information from a Binary Sensor and its Application to Gesture Detection, O. Gallo, I. Frosio, L. Gasparini, K. Pulli, and M. Gottardi, Embedded Vision Workshop, CVPR 2015
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FlexISP: A Flexible Camera Image Processing Framework, F. Heide, M. Steinberger, Y. Tsai, M. Rouf, D. Pajak, D. Reddy, O. Gallo, J. Liu, W. Heidrich, K. Egiazarian, J. Kautz, and K. Pulli, ACM SIGGRAPH ASIA 2014
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Dynamic Image Stacks, D. Jacobs, O. Gallo, and K. Pulli, Workshop on Mobile Vision, CVPR 2014
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HDR Deghosting: How to deal with Saturation?, J. Hu, O. Gallo, K. Pulli, and X. Sun, CVPR 2013
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Metering for Exposure Stacks, O. Gallo, M. Tico, R. Manduchi, N. Gelfand, and K. Pulli, Eurographics 2012
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Exposure Stacks for Live Scenes with Hand-held Cameras, J. Hu, O. Gallo, and K. Pulli, ECCV 2012
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Publications (before 2012)