Federico Perazzi

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On-Device AI team, at Facebook AR/VR

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Federico’s current research investigates novel methods for: image enhancement, semantic image understanding (classification, detection and segmentation) human pose and unsupervised depth estimation.

Papers28 papers

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Temporally Distributed Networks for Fast Video Semantic Segmentation

Hu Ping,Heilbron Fabian Caba,Wang Oliver,Lin Zhe,Sclaroff Stan,Perazzi Federico

CVPR, pp.8815-8824, (2020)

EIBibtex

Deep Image Compositing

He Zhang,Jianming Zhang,Federico Perazzi,Zhe Lin,Vishal M. Patel

Bibtex

Shape Adaptor: A Learnable Resizing Module

Shikun Liu,Zhe Lin, Yilin Wang,Jianming Zhang,Federico Perazzi,Edward Johns

european conference on computer vision, pp.661-677, (2020)

Bibtex

Single View Metrology in the Wild

Rui Zhu, Xingyi Yang,Yannick Hold-Geoffroy,Federico Perazzi, Jonathan Eisenmann,Kalyan Sunkavalli, Manmohan Chandraker

european conference on computer vision, pp.316-333, (2020)

Bibtex

Real-time Semantic Segmentation with Fast Attention

Ping Hu,Federico Perazzi,Fabian Caba Heilbron,Oliver Wang,Zhe Lin,Kate Saenko,Stan Sclaroff

IEEE Robotics Autom. Lett., no. 1 (2020): 263-270

EIBibtex

Active Speakers in Context

Alcazar Juan Leon,Heilbron Fabian Caba,Mai Long,Perazzi Federico, Lee Joon-Young,Arbelaez Pablo,Ghanem Bernard

CVPR, pp.12462-12471, (2020)

EIBibtex

Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints

Yuliang Zou,Jimei Yang,Duygu Ceylan,Jianming Zhang,Federico Perazzi,Jia-Bin Huang

WACV, pp.448-457, (2020)

Cited by1EIBibtex

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

Zhihao Xia,Michaël Gharbi,Federico Perazzi,Kalyan Sunkavalli,Ayan Chakrabarti

Bibtex

Basis Prediction Networks for Effective Burst Denoising with Large Kernels

Xia Zhihao,Perazzi Federico,Gharbi Michaël,Sunkavalli Kalyan,Chakrabarti Ayan

CVPR, pp.11841-11850, (2019)

Cited by2EIBibtex

Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks

Yasarla Rajeev,Perazzi Federico,Patel Vishal M.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, (2019): 6251-6263

Cited by2WOSBibtex

Scaling Object Detection by Transferring Classification Weights

Jason Kuen,Federico Perazzi,Zhe L. Lin,Jianming Zhang,Yap-Peng Tan

2989344306, pp.6044-6053, (2019)

Cited by2Bibtex

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement

Sai Bi,Kalyan Sunkavalli,Federico Perazzi,Eli Shechtman,Vladimir G. Kim,Ravi Ramamoorthi

pp.2730-2739 (2019)

Cited by8EIBibtex

Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes

Chaoyang Wang,Simon Lucey,Federico Perazzi,Oliver Wang

International Conference on 3D Vision, pp.348-357, (2019)

Cited by3EIBibtex

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Sergi Caelles,Jordi Pont-Tuset,Federico Perazzi, Alberto Montes,Kevis-Kokitsi Maninis,Luc Van Gool

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

On Regularized Losses for Weakly-supervised CNN Segmentation

Meng Tang,Federico Perazzi,Abdelaziz Djelouah,Ismail Ben Ayed,Christopher Schroers, Yuri Boykov

ECCV, (2018): 524-540

Cited by52EIBibtex

The 2018 DAVIS Challenge on Video Object Segmentation

Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis,Yuhua Chen,Luc Van Gool,Federico Perazzi,Jordi Pont-Tuset

CoRR, (2018)

Cited by10EIBibtex

A Fully Progressive Approach to Single-Image Super-Resolution

Yifan Wang,Federico Perazzi,Brian McWilliams,Alexander Sorkine-Hornung,Olga Sorkine-Hornung,Christopher Schroers

CVPR Workshops, (2018): 864-873

Cited by80EIBibtex

Normalized Cut Loss for Weakly-supervised CNN Segmentation

Meng Tang,Abdelaziz Djelouah,Federico Perazzi, Yuri Boykov,Christopher Schroers

CVPR, (2018): 1818-1827

Cited by61EIBibtex

Video Object Segmentation

Federico Perazzi

(2017)

Cited by3Bibtex

Learning Video Object Segmentation from Static Images

Federico Perazzi,Anna Khoreva,Rodrigo Benenson,Bernt Schiele,Alexander Sorkine-Hornung

CVPR, pp.3491-3500, (2017)

Cited by246EIBibtex

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