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2020 – today
- 2024
[c90]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. CVPR 2024: 9048-9058- [c89]William Yicheng Zhu, Keren Ye
, Junjie Ke, Jiahui Yu, Leonidas J. Guibas, Peyman Milanfar, Feng Yang:
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling. ECCV (27) 2024: 127-145 - [c88]Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi:
SPIRE: Semantic Prompt-Driven Image Restoration. ECCV (40) 2024: 446-464 - [c87]Yuyang Hu, Mauricio Delbracio, Peyman Milanfar, Ulugbek Kamilov:
A Restoration Network as an Implicit Prior. ICLR 2024 - [c86]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning Latent Diffusion Models for Inverse Problems. ICML 2024 - [i58]Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar:
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. CoRR abs/2404.01367 (2024) - [i57]William Yicheng Zhu, Keren Ye, Junjie Ke, Jiahui Yu, Leonidas J. Guibas, Peyman Milanfar, Feng Yang:
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling. CoRR abs/2408.04102 (2024) - [i56]Peyman Milanfar, Mauricio Delbracio:
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning. CoRR abs/2409.06219 (2024) - [i55]Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio:
A Survey on Diffusion Models for Inverse Problems. CoRR abs/2410.00083 (2024) - [i54]Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes:
On the Relation Between Linear Diffusion and Power Iteration. CoRR abs/2410.14730 (2024) - 2023
- [j75]Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar:
Soft Diffusion: Score Matching with General Corruptions. Trans. Mach. Learn. Res. 2023 (2023) - [j74]Mauricio Delbracio, Peyman Milanfar:
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration. Trans. Mach. Learn. Res. 2023 (2023) - [c85]Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, Feng Yang:
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining. CVPR 2023: 10041-10051 - [c84]Zhengzhong Tu, Peyman Milanfar, Hossein Talebi:
MULLER: Multilayer Laplacian Resizer for Vision. ICCV 2023: 6854-6864 - [c83]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV 2023: 7289-7300 - [c82]Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar:
Multiscale Structure Guided Diffusion for Image Deblurring. ICCV 2023: 10687-10699 - [i53]Junjie Ke, Tianhao Zhang, Yilin Wang, Peyman Milanfar, Feng Yang:
MRET: Multi-resolution Transformer for Video Quality Assessment. CoRR abs/2303.07489 (2023) - [i52]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR abs/2303.11305 (2023) - [i51]Mauricio Delbracio, Peyman Milanfar:
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration. CoRR abs/2303.11435 (2023) - [i50]Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, Feng Yang:
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining. CoRR abs/2303.14302 (2023) - [i49]Zhengzhong Tu, Peyman Milanfar, Hossein Talebi:
MULLER: Multilayer Laplacian Resizer for Vision. CoRR abs/2304.02859 (2023) - [i48]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning latent diffusion models for inverse problems. CoRR abs/2310.01110 (2023) - [i47]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
Conditional Diffusion Distillation. CoRR abs/2310.01407 (2023) - [i46]Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi:
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions. CoRR abs/2312.11595 (2023) - 2022
- [c81]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MAXIM: Multi-Axis MLP for Image Processing. CVPR 2022: 5759-5770 - [c80]Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang:
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR 2022: 10021-10030 - [c79]Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar:
Deblurring via Stochastic Refinement. CVPR 2022: 16272-16282 - [c78]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MaxViT: Multi-axis Vision Transformer. ECCV (24) 2022: 459-479 - [c77]Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug:
Interpretable Unsupervised Diversity Denoising and Artefact Removal. ICLR 2022 - [i45]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MAXIM: Multi-Axis MLP for Image Processing. CoRR abs/2201.02973 (2022) - [i44]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MaxViT: Multi-Axis Vision Transformer. CoRR abs/2204.01697 (2022) - [i43]Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar:
Soft Diffusion: Score Matching for General Corruptions. CoRR abs/2209.05442 (2022) - [i42]Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar:
Image Deblurring with Domain Generalizable Diffusion Models. CoRR abs/2212.01789 (2022) - 2021
- [j73]Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). SIAM J. Imaging Sci. 14(3): 1374-1406 (2021) - [j72]Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar:
Polyblur: Removing Mild Blur by Polynomial Reblurring. IEEE Trans. Computational Imaging 7: 837-848 (2021) - [j71]Meyer Scetbon, Michael Elad, Peyman Milanfar:
Deep K-SVD Denoising. IEEE Trans. Image Process. 30: 5944-5955 (2021) - [j70]Hossein Talebi Esfandarani, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad:
Better Compression With Deep Pre-Editing. IEEE Trans. Image Process. 30: 6673-6685 (2021) - [c76]Yilin Wang, Junjie Ke, Hossein Talebi, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli, Peyman Milanfar, Feng Yang:
Rich Features for Perceptual Quality Assessment of UGC Videos. CVPR 2021: 13435-13444 - [c75]Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar:
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. DCC 2021: 354 - [c74]Mauricio Delbracio, Hossein Talebi, Peyman Milanfar:
Projected Distribution Loss for Image Enhancement. ICCP 2021: 1-12 - [c73]Hossein Talebi, Peyman Milanfar:
Learning to Resize Images for Computer Vision Tasks. ICCV 2021: 487-496 - [c72]Gregory Vaksman, Michael Elad, Peyman Milanfar:
Patch Craft: Video Denoising by Deep Modeling and Patch Matching. ICCV 2021: 2137-2146 - [c71]Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar:
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data. ICCV 2021: 2269-2278 - [c70]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. ICCV 2021: 2523-2532 - [c69]Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang:
MUSIQ: Multi-scale Image Quality Transformer. ICCV 2021: 5128-5137 - [c68]Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar:
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. ICCVW 2021: 1805-1813 - [c67]Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. ICIP 2021: 1484-1488 - [c66]Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew G. Howard, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar, Feng Yang:
Multi-path Neural Networks for On-device Multi-domain Visual Classification. WACV 2021: 3018-3027 - [i41]Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar:
Mobile Computational Photography: A Tour. CoRR abs/2102.09000 (2021) - [i40]Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. CoRR abs/2103.01114 (2021) - [i39]Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar:
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. CoRR abs/2103.04192 (2021) - [i38]Hossein Talebi, Peyman Milanfar:
Learning to Resize Images for Computer Vision Tasks. CoRR abs/2103.09950 (2021) - [i37]Gregory Vaksman, Michael Elad, Peyman Milanfar:
Patch Craft: Video Denoising by Deep Modeling and Patch Matching. CoRR abs/2103.13767 (2021) - [i36]Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug:
Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. CoRR abs/2104.01374 (2021) - [i35]Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang:
DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR abs/2104.12734 (2021) - [i34]Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang:
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR abs/2104.13450 (2021) - [i33]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. CoRR abs/2105.01237 (2021) - [i32]Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang:
MUSIQ: Multi-scale Image Quality Transformer. CoRR abs/2108.05997 (2021) - [i31]Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo:
Solving Image PDEs with a Shallow Network. CoRR abs/2110.08327 (2021) - [i30]Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar:
Deblurring via Stochastic Refinement. CoRR abs/2112.02475 (2021) - 2020
- [j69]Ignacio Garcia-Dorado, Pascal Getreuer, Bartlomiej Wronski, Peyman Milanfar:
Image stylisation: from predefined to personalised. IET Comput. Vis. 14(6): 291-303 (2020) - [c65]Gregory Vaksman, Michael Elad, Peyman Milanfar:
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. CVPR Workshops 2020: 2220-2229 - [c64]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CVPR 2020: 13545-13554 - [c63]Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar:
GIFnets: Differentiable GIF Encoding Framework. CVPR 2020: 14461-14470 - [c62]Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar:
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. ICIP 2020: 498-502 - [c61]Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth:
Rank-Smoothed Pairwise Learning In Perceptual Quality Assessment. ICIP 2020: 3413-3417 - [i29]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CoRR abs/2001.04580 (2020) - [i28]Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad:
Better Compression with Deep Pre-Editing. CoRR abs/2002.00113 (2020) - [i27]Ignacio Garcia-Dorado, Pascal Getreuer, Bartlomiej Wronski, Peyman Milanfar:
Image Stylization: From Predefined to Personalized. CoRR abs/2002.10945 (2020) - [i26]Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar:
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. CoRR abs/2002.11248 (2020) - [i25]David Berthelot, Peyman Milanfar, Ian J. Goodfellow:
Creating High Resolution Images with a Latent Adversarial Generator. CoRR abs/2003.02365 (2020) - [i24]Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar:
GIFnets: Differentiable GIF Encoding Framework. CoRR abs/2006.13434 (2020) - [i23]Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). CoRR abs/2008.00226 (2020) - [i22]Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar:
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. CoRR abs/2008.00605 (2020) - [i21]Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar:
Multi-path Neural Networks for On-device Multi-domain Visual Classification. CoRR abs/2010.04904 (2020) - [i20]Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth:
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment. CoRR abs/2011.10893 (2020) - [i19]Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar:
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data. CoRR abs/2012.03255 (2020) - [i18]Mauricio Delbracio, Hossein Talebi, Peyman Milanfar:
Projected Distribution Loss for Image Enhancement. CoRR abs/2012.09289 (2020) - [i17]Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar:
Polyblur: Removing mild blur by polynomial reblurring. CoRR abs/2012.09322 (2020)
2010 – 2019
- 2019
- [j68]Frank Ong, Peyman Milanfar, Pascal Getreuer:
Local Kernels That Approximate Bayesian Regularization and Proximal Operators. IEEE Trans. Image Process. 28(6): 3007-3019 (2019) - [j67]Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst, Damien Kelly, Michael Krainin, Chia-Kai Liang, Marc Levoy, Peyman Milanfar:
Handheld multi-frame super-resolution. ACM Trans. Graph. 38(4): 28:1-28:18 (2019) - [i16]Gary Mataev, Michael Elad, Peyman Milanfar:
DeepRED: Deep Image Prior Powered by RED. CoRR abs/1903.10176 (2019) - [i15]Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst, Damien Kelly, Michael Krainin, Chia-Kai Liang, Marc Levoy, Peyman Milanfar:
Handheld Multi-Frame Super-Resolution. CoRR abs/1905.03277 (2019) - [i14]Meyer Scetbon, Michael Elad, Peyman Milanfar:
Deep K-SVD Denoising. CoRR abs/1909.13164 (2019) - [i13]Gregory Vaksman, Michael Elad, Peyman Milanfar:
Low-Weight and Learnable Image Denoising. CoRR abs/1911.07167 (2019) - 2018
- [j66]Peyman Milanfar:
Rendition: Reclaiming What a Black Box Takes Away. SIAM J. Imaging Sci. 11(4): 2722-2756 (2018) - [j65]Hossein Talebi Esfandarani, Peyman Milanfar:
NIMA: Neural Image Assessment. IEEE Trans. Image Process. 27(8): 3998-4011 (2018) - [j64]Theodore B. Dubose, David Cunefare, Elijah Cole, Peyman Milanfar, Joseph A. Izatt, Sina Farsiu:
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography. IEEE Trans. Medical Imaging 37(9): 1978-1988 (2018) - [c60]Yaniv Romano, Michael Elad, Peyman Milanfar:
RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. ICASSP 2018: 6762-6766 - [c59]Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar:
BLADE: Filter learning for general purpose computational photography. ICCP 2018: 1-11 - [c58]Hossein Talebi Esfandarani, Peyman Milanfar:
Learned perceptual image enhancement. ICCP 2018: 1-13 - [c57]Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar:
Fast, Trainable, Multiscale Denoising. ICIP 2018: 963-967 - [i12]Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar:
Fast, Trainable, Multiscale Denoising. CoRR abs/1802.06130 (2018) - [i11]Frank Ong, Peyman Milanfar, Pascal Getreuer:
Local Kernels that Approximate Bayesian Regularization and Proximal Operators. CoRR abs/1803.03711 (2018) - [i10]Peyman Milanfar:
Rendition: Reclaiming what a black box takes away. CoRR abs/1804.08651 (2018) - 2017
- [j63]Yaniv Romano, Michael Elad, Peyman Milanfar:
The Little Engine That Could: Regularization by Denoising (RED). SIAM J. Imaging Sci. 10(4): 1804-1844 (2017) - [j62]Yaniv Romano, John Isidoro, Peyman Milanfar:
RAISR: Rapid and Accurate Image Super Resolution. IEEE Trans. Computational Imaging 3(1): 110-125 (2017) - [j61]Michael Elad, Peyman Milanfar:
Style Transfer Via Texture Synthesis. IEEE Trans. Image Process. 26(5): 2338-2351 (2017) - [j60]Sujoy Kumar Biswas, Peyman Milanfar:
Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images. IEEE Trans. Image Process. 26(9): 4229-4242 (2017) - [i9]Hossein Talebi Esfandarani, Peyman Milanfar:
NIMA: Neural Image Assessment. CoRR abs/1709.05424 (2017) - [i8]Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar:
BLADE: Filter Learning for General Purpose Image Processing. CoRR abs/1711.10700 (2017) - [i7]Hossein Talebi Esfandarani, Peyman Milanfar:
Learned Perceptual Image Enhancement. CoRR abs/1712.02864 (2017) - [i6]Ignacio Garcia-Dorado, Pascal Getreuer, Madison Le, Robin Debreuil, Alex Kauffmann, Peyman Milanfar:
Graphic Narrative with Interactive Stylization Design. CoRR abs/1712.06654 (2017) - 2016
- [j59]Sujoy Kumar Biswas, Peyman Milanfar:
One Shot Detection with Laplacian Object and Fast Matrix Cosine Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 546-562 (2016) - [j58]Hossein Talebi Esfandarani, Peyman Milanfar:
Asymptotic Performance of Global Denoising. SIAM J. Imaging Sci. 9(2): 665-683 (2016) - [j57]Hossein Talebi Esfandarani, Peyman Milanfar:
Fast Multilayer Laplacian Enhancement. IEEE Trans. Computational Imaging 2(4): 496-509 (2016) - [c56]Tak-Shing Wong, Peyman Milanfar:
Turbo denoising for mobile photographic applications. ICIP 2016: 988-992 - [c55]John R. Isidoro, Peyman Milanfar:
A pull-push method for fast non-local means filtering. ICIP 2016: 1968-1972 - [c54]Peyman Milanfar, Hossein Talebi Esfandarani:
A new class of image filters without normalization. ICIP 2016: 3294-3298 - [i5]Yaniv Romano, John Isidoro, Peyman Milanfar:
RAISR: Rapid and Accurate Image Super Resolution. CoRR abs/1606.01299 (2016) - [i4]Hossein Talebi Esfandarani, Peyman Milanfar:
Fast Multi-Layer Laplacian Enhancement. CoRR abs/1606.07396 (2016) - [i3]Michael Elad, Peyman Milanfar:
Style-Transfer via Texture-Synthesis. CoRR abs/1609.03057 (2016) - [i2]Sujoy Kumar Biswas, Peyman Milanfar:
Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared Images. CoRR abs/1609.07878 (2016) - [i1]Yaniv Romano, Michael Elad, Peyman Milanfar:
The Little Engine that Could: Regularization by Denoising (RED). CoRR abs/1611.02862 (2016) - 2015
- [j56]Amin Kheradmand, Peyman Milanfar:
Non-Linear Structure-Aware Image Sharpening with Difference of Smoothing Operators. Frontiers ICT 2: 22 (2015) - [c53]Amin Kheradmand, Peyman Milanfar:
Motion deblurring with graph Laplacian regularization. Digital Photography 2015: 94040C - 2014
- [j55]Hossein Talebi Esfandarani, Peyman Milanfar:
Global Image Denoising. IEEE Trans. Image Process. 23(2): 755-768 (2014) - [j54]Hossein Talebi Esfandarani, Peyman Milanfar:
Nonlocal Image Editing. IEEE Trans. Image Process. 23(10): 4460-4473 (2014) - [j53]Amin Kheradmand, Peyman Milanfar:
A General Framework for Regularized, Similarity-Based Image Restoration. IEEE Trans. Image Process. 23(12): 5136-5151 (2014) - [c52]Ondrej Sindelar, Filip Sroubek, Peyman Milanfar:
Space-Variant Image Deblurring on Smartphones Using Inertial Sensors. CVPR Workshops 2014: 191-192 - [c51]Hossein Talebi Esfandarani, Peyman Milanfar:
Global denoising is asymptotically optimal. ICIP 2014: 818-822 - [c50]Ondrej Sindelar, Filip Sroubek, Peyman Milanfar:
A smartphone application for removing handshake blur and compensating rolling shutter. ICIP 2014: 2160-2162 - [c49]Sujoy Kumar Biswas, Peyman Milanfar:
Laplacian object: One-shot object detection by locality preserving projection. ICIP 2014: 4062-4066 - 2013
- [j52]Xiang Zhu, Peyman Milanfar:
Removing Atmospheric Turbulence via Space-Invariant Deconvolution. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 157-170 (2013) - [j51]Peyman Milanfar:
Symmetrizing Smoothing Filters. SIAM J. Imaging Sci. 6(1): 263-284 (2013) - [j50]Peyman Milanfar:
A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical. IEEE Signal Process. Mag. 30(1): 106-128 (2013) - [j49]Hossein Talebi Esfandarani, Xiang Zhu, Peyman Milanfar:
How to SAIF-ly Boost Denoising Performance. IEEE Trans. Image Process. 22(4): 1470-1485 (2013) - [j48]Xiang Zhu, Scott Cohen, Stephen Schiller, Peyman Milanfar:
Estimating Spatially Varying Defocus Blur From A Single Image. IEEE Trans. Image Process. 22(12): 4879-4891 (2013) - [c48]Jan Kotera, Filip Sroubek, Peyman Milanfar:
Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors. CAIP (2) 2013: 59-66 - [c47]Amin Kheradmand, Peyman Milanfar:
A general framework for kernel similarity-based image denoising. GlobalSIP 2013: 415-418 - [c46]Hossein Talebi Esfandarani, Peyman Milanfar:
Global image editing using the spectrum of affinity matrices. GlobalSIP 2013: 771-774 - 2012
- [j47]Hae Jong Seo, Peyman Milanfar:
Robust flash denoising/deblurring by iterative guided filtering. EURASIP J. Adv. Signal Process. 2012: 3 (2012) - [j46]Priyam Chatterjee, Peyman Milanfar:
Patch-Based Near-Optimal Image Denoising. IEEE Trans. Image Process. 21(4): 1635-1649 (2012) - [j45]Filip Sroubek, Peyman Milanfar:
Robust Multichannel Blind Deconvolution via Fast Alternating Minimization. IEEE Trans. Image Process. 21(4): 1687-1700 (2012) - [c45]Chelhwon Kim, Peyman Milanfar:
Finding saliency in noisy images. Computational Imaging 2012: 82960U - [c44]Erik Matlin, Peyman Milanfar:
Removal of haze and noise from a single image. Computational Imaging 2012: 82960T - [c43]Xiang Zhu, Filip Sroubek, Peyman Milanfar:
Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images. ECCV (5) 2012: 636-647 - [c42]Hossein Talebi Esfandarani, Peyman Milanfar:
Improving denoising filters by optimal diffusion. ICIP 2012: 1181-1184 - [c41]Hossein Talebi Esfandarani, Peyman Milanfar:
Patch-wise ideal stopping time for anisotropic diffusion. Visual Information Processing and Communication 2012: 83050G - 2011
- [j44]Hae Jong Seo, Peyman Milanfar:
Action Recognition from One Example. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 867-882 (2011) - [j43]Hae Jong Seo, Peyman Milanfar:
Face Verification Using the LARK Representation. IEEE Trans. Inf. Forensics Secur. 6(4): 1275-1286 (2011) - [j42]Priyam Chatterjee, Peyman Milanfar:
Practical Bounds on Image Denoising: From Estimation to Information. IEEE Trans. Image Process. 20(5): 1221-1233 (2011) - [j41]Hiroyuki Takeda, Peyman Milanfar:
Removing Motion Blur With Space-Time Processing. IEEE Trans. Image Process. 20(10): 2990-3000 (2011) - [c40]Xiang Zhu, Peyman Milanfar:
Stabilizing and deblurring atmospheric turbulence. ICCP 2011: 1-8 - [c39]Hae Jong Seo, Peyman Milanfar:
Iteratively merging information from a pair of flash/no-flash images using nonlinear diffusion. ICCV Workshops 2011: 1324-1331 - [c38]Filip Sroubek, Jan Kamenický, Peyman Milanfar:
Superfast superresolution. ICIP 2011: 1153-1156 - [c37]Priyam Chatterjee, Peyman Milanfar:
Patch-based locally optimal denoising. ICIP 2011: 2553-2556 - [c36]Xiang Zhu, Peyman Milanfar:
Restoration for weakly blurred and strongly noisy images. WACV 2011: 103-109 - 2010
- [j40]Hae Jong Seo, Peyman Milanfar:
Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1688-1704 (2010) - [j39]Priyam Chatterjee, Peyman Milanfar:
Is Denoising Dead? IEEE Trans. Image Process. 19(4): 895-911 (2010) - [j38]Xiang Zhu, Peyman Milanfar:
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content. IEEE Trans. Image Process. 19(12): 3116-3132 (2010) - [c35]Hiroyuki Takeda, Peyman Milanfar:
Nonlinear kernel backprojection for computed tomography. ICASSP 2010: 618-621 - [c34]Priyam Chatterjee, Peyman Milanfar:
Fundamental limits of image denoising: Are we there yet? ICASSP 2010: 1358-1361 - [c33]Hae Jong Seo, Peyman Milanfar:
Visual saliency for automatic target detection, boundary detection, and image quality assessment. ICASSP 2010: 5578-5581 - [c32]Xiang Zhu, Peyman Milanfar:
A no-reference image content metric and its application to denoising. ICIP 2010: 1145-1148 - [c31]Priyam Chatterjee, Peyman Milanfar:
Learning denoising bounds for noisy images. ICIP 2010: 1157-1160 - [c30]Xiang Zhu, Peyman Milanfar:
Image reconstruction from videos distorted by atmospheric turbulence. Visual Information Processing and Communication 2010: 75430S
2000 – 2009
- 2009
- [j37]M. Dirk Robinson, Sina Farsiu, Peyman Milanfar:
Optimal Registration Of Aliased Images Using Variable Projection With Applications To Super-Resolution. Comput. J. 52(1): 31-42 (2009) - [j36]Matan Protter, Michael Elad, Hiroyuki Takeda, Peyman Milanfar:
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction. IEEE Trans. Image Process. 18(1): 36-51 (2009) - [j35]Priyam Chatterjee, Peyman Milanfar:
Clustering-Based Denoising With Locally Learned Dictionaries. IEEE Trans. Image Process. 18(7): 1438-1451 (2009) - [j34]Hiroyuki Takeda, Peyman Milanfar, Matan Protter, Michael Elad:
Super-Resolution Without Explicit Subpixel Motion Estimation. IEEE Trans. Image Process. 18(9): 1958-1975 (2009) - [c29]Priyam Chatterjee, Peyman Milanfar:
Image denoising using locally learned dictionaries. Computational Imaging 2009: 72460 - [c28]Hae Jong Seo, Peyman Milanfar:
Nonparametric bottom-up saliency detection by self-resemblance. CVPR Workshops 2009: 45-52 - [c27]Hae Jong Seo, Peyman Milanfar:
Detection of human actions from a single example. ICCV 2009: 1965-1970 - [c26]Hae Jong Seo, Peyman Milanfar:
A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain. ISBI 2009: 245-248 - [c25]Hiroyuki Takeda, Peyman Milanfar:
An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging. ISBI 2009: 666-669 - 2008
- [j33]Michael R. Charest, Peyman Milanfar:
On Iterative Regularization and Its Application. IEEE Trans. Circuits Syst. Video Technol. 18(3): 406-411 (2008) - [j32]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Deblurring Using Regularized Locally Adaptive Kernel Regression. IEEE Trans. Image Process. 17(4): 550-563 (2008) - [c24]Priyam Chatterjee, Peyman Milanfar:
A generalization of non-local means via kernel regression. Computational Imaging 2008: 68140 - [c23]Hae Jong Seo, Peyman Milanfar:
Video denoising using higher order optimal space-time adaptation. ICASSP 2008: 1249-1252 - [c22]Hiroyuki Takeda, Peter van Beek, Peyman Milanfar:
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression. ICIP 2008: 637-640 - [c21]Hae Jong Seo, Peyman Milanfar:
Using local regression kernels for statistical object detection. ICIP 2008: 2380-2383 - 2007
- [j31]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Kernel Regression for Image Processing and Reconstruction. IEEE Trans. Image Process. 16(2): 349-366 (2007) - [j30]Amyn Poonawala, Peyman Milanfar:
Mask Design for Optical Microlithography-An Inverse Imaging Problem. IEEE Trans. Image Process. 16(3): 774-788 (2007) - [c20]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Higher order bilateral filters and their properties. Computational Imaging 2007: 64980S - [c19]Sina Farsiu, Peyman Milanfar:
Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media. ICIP (3) 2007: 537-540 - 2006
- [j29]Sina Farsiu, Michael Elad, Peyman Milanfar:
Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences. EURASIP J. Adv. Signal Process. 2006 (2006) - [j28]Michael K. P. Ng, Tony F. Chan, Moon Gi Kang, Peyman Milanfar:
Super-Resolution Imaging: Analysis, Algorithms, and Applications. EURASIP J. Adv. Signal Process. 2006 (2006) - [j27]Amyn Poonawala, Peyman Milanfar, Richard J. Gardner:
Shape Estimation from Support and Diameter Functions. J. Math. Imaging Vis. 24(2): 229-244 (2006) - [j26]Sina Farsiu, Michael Elad, Peyman Milanfar:
Multiframe demosaicing and super-resolution of color images. IEEE Trans. Image Process. 15(1): 141-159 (2006) - [j25]M. Dirk Robinson, Peyman Milanfar:
Statistical performance analysis of super-resolution. IEEE Trans. Image Process. 15(6): 1413-1428 (2006) - [j24]Morteza Shahram, Peyman Milanfar:
Statistical and Information-Theoretic Analysis of Resolution in Imaging. IEEE Trans. Inf. Theory 52(8): 3411-3437 (2006) - [c18]David Odom, Peyman Milanfar:
Modeling multiscale differential pixel statistics. Computational Imaging 2006: 606504 - [c17]Michael R. Charest, Michael Elad, Peyman Milanfar:
A General Iterative Regularization Framework For Image Denoising. CISS 2006: 452-457 - [c16]Michael Elad, Peyman Milanfar, Ron Rubinstein:
Analysis versus synthesis in signal priors. EUSIPCO 2006: 1-5 - [c15]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data. ICIP 2006: 1257-1260 - 2005
- [j23]Morteza Shahram, Peyman Milanfar:
Local detectors for high-resolution spectral analysis: Algorithms and performance. Digit. Signal Process. 15(3): 305-316 (2005) - [j22]Gregory Boutry, Michael Elad, Gene H. Golub, Peyman Milanfar:
The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach. SIAM J. Matrix Anal. Appl. 27(2): 582-601 (2005) - [j21]Annie A. M. Cuyt, Gene H. Golub, Peyman Milanfar, Brigitte Verdonk:
Multidimensional Integral Inversion, with Applications in Shape Reconstruction. SIAM J. Sci. Comput. 27(3): 1058-1070 (2005) - [j20]M. Dirk Robinson, Peyman Milanfar:
Bias minimizing filter design for gradient-based image registration. Signal Process. Image Commun. 20(6): 554-568 (2005) - [j19]Yaakov Tsaig, Michael Elad, Peyman Milanfar, Gene H. Golub:
Variable projection for near-optimal filtering in low bit-rate block coders. IEEE Trans. Circuits Syst. Video Technol. 15(1): 154-160 (2005) - [j18]Morteza Shahram, Peyman Milanfar:
On the resolvability of sinusoids with nearby frequencies in the presence of noise. IEEE Trans. Signal Process. 53(7): 2579-2588 (2005) - [c14]Amyn Poonawala, Peyman Milanfar:
Prewarping techniques in imaging: applications in nanotechnology and biotechnology. Computational Imaging 2005: 114-127 - [c13]Lior Zimet, Morteza Shahram, Peyman Milanfar:
An adaptive framework for image and video sensing. Digital Photography 2005: 156-167 - [c12]Morteza Shahram, Peyman Milanfar:
Improved spectral analysis of nearby tones using local detectors. ICASSP (4) 2005: 637-640 - 2004
- [j17]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Advances and challenges in super-resolution. Int. J. Imaging Syst. Technol. 14(2): 47-57 (2004) - [j16]Russell B. Cosgrove, Peyman Milanfar, Joel Kositsky:
Trained detection of buried mines in SAR images via the deflection-optimal criterion. IEEE Trans. Geosci. Remote. Sens. 42(11): 2569-2575 (2004) - [j15]Morteza Shahram, Peyman Milanfar:
Imaging below the diffraction limit: a statistical analysis. IEEE Trans. Image Process. 13(5): 677-689 (2004) - [j14]M. Dirk Robinson, Peyman Milanfar:
Fundamental performance limits in image registration. IEEE Trans. Image Process. 13(9): 1185-1199 (2004) - [j13]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10): 1327-1344 (2004) - [j12]Michael Elad, Peyman Milanfar, Gene H. Golub:
Shape from moments - an estimation theory perspective. IEEE Trans. Signal Process. 52(7): 1814-1829 (2004) - [c11]Sina Farsiu, Michael Elad, Peyman Milanfar:
Multiframe demosaicing and super-resolution from undersampled color images. Computational Imaging 2004: 222-233 - [c10]Andrew Segall, Michael Elad, Peyman Milanfar, Richard Webb, Chad Fogg:
Improved high-definition video by encoding at an intermediate resolution. VCIP 2004 - 2003
- [j11]R. J. Gardner, Peyman Milanfar:
Reconstruction of Convex Bodies from Brightness Functions. Discret. Comput. Geom. 29(2): 279-303 (2003) - [j10]M. Dirk Robinson, Peyman Milanfar:
Fast Local and Global Projection-Based Methods for Affine Motion Estimation. J. Math. Imaging Vis. 18(1): 35-54 (2003) - [c9]Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman Milanfar:
Optimal framework for low bit-rate block coders. ICIP (2) 2003: 219-222 - [c8]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Fast and robust super-resolution. ICIP (2) 2003: 291-294 - [c7]M. Dirk Robinson, Peyman Milanfar:
Fundamental performance limits in image registration. ICIP (2) 2003: 323-326 - 2002
- [c6]Peyman Milanfar, Ali Shakouri:
A statistical analysis of diffraction-limited imaging. ICIP (1) 2002: 864-867 - 2001
- [j9]Nhat Nguyen, Peyman Milanfar, Gene H. Golub:
A computationally efficient superresolution image reconstruction algorithm. IEEE Trans. Image Process. 10(4): 573-583 (2001) - [j8]Nhat Nguyen, Peyman Milanfar, Gene H. Golub:
Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement. IEEE Trans. Image Process. 10(9): 1299-1308 (2001) - 2000
- [c5]Nhat Nguyen, Peyman Milanfar:
An Efficient Wavelet-Based Algorithm for Image Superresolution. ICIP 2000: 351-354
1990 – 1999
- 1999
- [j7]Gene H. Golub, Peyman Milanfar, James M. Varah:
A Stable Numerical Method for Inverting Shape from Moments. SIAM J. Sci. Comput. 21(4): 1222-1243 (1999) - [j6]Peyman Milanfar:
Two-dimensional matched filtering for motion estimation. IEEE Trans. Image Process. 8(3): 438-444 (1999) - [j5]Peyman Milanfar:
A model of the effect of image motion in the Radon transform domain. IEEE Trans. Image Process. 8(9): 1276-1281 (1999) - [c4]Nhat Nguyen, Gene H. Golub, Peyman Milanfar:
Preconditioners for regularized image superresolution. ICASSP 1999: 3249-3252 - 1998
- [c3]Peyman Milanfar:
Motion from Projections: A Foward Model. ICIP (2) 1998: 695-699 - 1996
- [j4]Peyman Milanfar:
On the hough transform of a polygon. Pattern Recognit. Lett. 17(2): 209-210 (1996) - [j3]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
A moment-based variational approach to tomographic reconstruction. IEEE Trans. Image Process. 5(3): 459-470 (1996) - 1995
- [j2]Peyman Milanfar, George C. Verghese, William Clement Karl, Alan S. Willsky:
Reconstructing polygons from moments with connections to array processing. IEEE Trans. Signal Process. 43(2): 432-443 (1995) - 1994
- [j1]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
Reconstructing Binary Polygonal Objects from Projections: A Statistical View. CVGIP Graph. Model. Image Process. 56(5): 371-391 (1994) - [c2]Peyman Milanfar, Robert R. Tenney, Robert B. Washburn, Alan S. Willsky:
Modeling and Estimation for a Class of Multiresolution Random Fields. ICIP (3) 1994: 397-401 - [c1]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
Moment-Based Geometric Image Reconstruction. ICIP (2) 1994: 825-829 - 1993
- [b1]Peyman Milanfar:
Geometric estimation and reconstruction from tomographic data. Massachusetts Institute of Technology, Cambridge, MA, USA, 1993
Coauthor Index
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