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ORCIDFeng Yang 0008
Person information
- affiliation: Google Research, Mountain View, CA, USA
Other persons with the same name
- Feng Yang — disambiguation page
- Feng Yang 0001
![[0000-0001-6991-1628]](/https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6991-1628")
— Northwestern Polytechnical University, School of Automation, MOE, Key laboratory of Information Fusion Technology, Xi'an, China - Feng Yang 0002 — Beihang University, School of Computer Science and Engineering, Beijing Key Laboratory of Digital Media, China
- Feng Yang 0003 — Wuhan University, School of Resource and Environmental Sciences, China (and 1 more)
- Feng Yang 0004 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Feng Yang 0005 — University of Science and Technology of China, School of Management, Hefei, China
- Feng Yang 0006 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communication Technology, Cooperative Medianet Innovation Center, China
- Feng Yang 0007 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China
- Feng Yang 0009 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Feng Yang 0010 — National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA (and 2 more)
- Feng Yang 0011 — Agency for Science, Technology and Research (A STAR), Institute of High Performance Computing, Department of Computing Science, Singapore (and 1 more)
- Feng Yang 0012 — Southern Medical University, School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
- Feng Yang 0013 — University of Science and Technology of China, Department of Automation, Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China
- Feng Yang 0014 — Guangxi University, School of Computer, Electronics and Information, Guangxi Key Laboratory of Multimedia Communications Network Technology, Nanning, China (and 1 more)
- Feng Yang 0015 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing Key Laboratory of Signal and Information Processing, Chongqing, China
- Feng Yang 0016 — West Virginia University, Industrial and Management Systems Engineering, Morgantown, WV, USA (and 1 more)
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2020 – today
- 2025
[i20]Kyungmin Lee, Xiaohang Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li:
Calibrated Multi-Preference Optimization for Aligning Diffusion Models. CoRR abs/2502.02588 (2025)- 2024
- [c17]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 - [c16]Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang:
Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation. ECCV (38) 2024: 462-478 - [i19]Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang:
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation. CoRR abs/2401.05675 (2024) - [i18]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) - [i17]Seung Hyun Lee, Junjie Ke, Yinxiao Li, Junfeng He, Steven Hickson, Katie Datsenko, Sangpil Kim, Ming-Hsuan Yang, Irfan Essa, Feng Yang:
Cropper: Vision-Language Model for Image Cropping through In-Context Learning. CoRR abs/2408.07790 (2024) - 2023
- [c15]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 - [c14]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 - [i16]Junjie Ke, Tianhao Zhang, Yilin Wang, Peyman Milanfar, Feng Yang:
MRET: Multi-resolution Transformer for Video Quality Assessment. CoRR abs/2303.07489 (2023) - [i15]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) - [i14]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) - 2022
- [c13]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 - [c12]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 - [c11]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 - [c10]Yilin Wang, Joong Gon Yim, Neil Birkbeck, Junjie Ke, Hossein Talebi, Xi Chen, Feng Yang, Balu Adsumilli:
Revisiting the Efficiency of UGC Video Quality Assessment. ICIP 2022: 3016-3020 - [i13]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) - [i12]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) - 2021
- [j1]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) - [c9]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 - [c8]Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar:
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. DCC 2021: 354 - [c7]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. ICCV 2021: 2523-2532 - [c6]Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang:
MUSIQ: Multi-scale Image Quality Transformer. ICCV 2021: 5128-5137 - [c5]Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. ICIP 2021: 1484-1488 - [c4]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 - [i11]Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. CoRR abs/2103.01114 (2021) - [i10]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) - [i9]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) - [i8]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. CoRR abs/2105.01237 (2021) - [i7]Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang:
MUSIQ: Multi-scale Image Quality Transformer. CoRR abs/2108.05997 (2021) - 2020
- [c3]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CVPR 2020: 13545-13554 - [c2]Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar:
GIFnets: Differentiable GIF Encoding Framework. CVPR 2020: 14461-14470 - [c1]Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar:
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. ICIP 2020: 498-502 - [i6]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CoRR abs/2001.04580 (2020) - [i5]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) - [i4]Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar:
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. CoRR abs/2002.11248 (2020) - [i3]Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar:
GIFnets: Differentiable GIF Encoding Framework. CoRR abs/2006.13434 (2020) - [i2]Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar:
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. CoRR abs/2008.00605 (2020) - [i1]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)
Coauthor Index
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