Yanghao Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 82

Top Topics

Recurrent Neural Networks

Image Compression

Visual Representations

Top Venues

Publications

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng
Apple Intelligence Foundation Language Models. CoRR (2024)
Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Idempotence and Perceptual Image Compression. CoRR (2024)
Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Idempotence and Perceptual Image Compression. ICLR (2024)
Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. ICLR (2024)
Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu
Bandwidth-Efficient Inference for Nerual Image Compression. ICASSP (2024)
Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Conditional Perceptual Quality Preserving Image Compression. CoRR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-Training via Masking. CVPR (2023)
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR (2023)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CoRR (2023)
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML (2023)
Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Pérez-Rúa
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization. CVPR (2023)
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
MAViL: Masked Audio-Video Learners. NeurIPS (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. CoRR (2023)
Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CVPR (2023)
Duy-Kien Nguyen, Vaibhav Aggarwal, Yanghao Li, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. CoRR (2023)
Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Idempotent Learned Image Compression with Right-Inverse. NeurIPS (2023)
Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu
Bandwidth-efficient Inference for Neural Image Compression. CoRR (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. ICCV (2023)
Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CoRR (2023)
Yuhuan Lin, Tongda Xu, Ziyu Zhu, Yanghao Li, Zhe Wang, Yan Wang
Your Camera Improves Your Point Cloud Compression. ICASSP (2023)
Qian Zhang, Tongda Xu, Yanghao Li, Yan Wang
Evaluating Strong Idempotence of Image Codec. CoRR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-training via Masking. CoRR (2022)
Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
Exploring Plain Vision Transformer Backbones for Object Detection. ECCV (9) (2022)
Mengmeng Xu, Cheng-Yang Fu, Yanghao Li, Bernard Ghanem, Juan-Manuel Pérez-Rúa, Tao Xiang
Negative Frames Matter in Egocentric Visual Query 2D Localization. CoRR (2022)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CVPR (2022)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CVPR (2022)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. CoRR (2022)
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
MAViL: Masked Audio-Video Learners. CoRR (2022)
Yanghao Li, Xinyao Chen, Jisheng Li, Jiangtao Wen, Yuxing Han, Shan Liu, Xiaozhong Xu
Rate Control for Learned Video Compression. ICASSP (2022)
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. CVPR (2022)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. NeurIPS (2022)
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR (2022)
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CoRR (2022)
Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Pérez-Rúa
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization. CoRR (2022)
Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
Exploring Plain Vision Transformer Backbones for Object Detection. CoRR (2022)
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CVPR (2022)
Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang
Bit Allocation using Optimization. CoRR (2022)
Yanghao Li, Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han
Learning Model-Blind Temporal Denoisers without Ground Truths. ICASSP (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. CoRR (2021)
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR (2021)
Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos. CoRR (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia (2021)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CoRR (2021)
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
Improved Multiscale Vision Transformers for Classification and Detection. CoRR (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR (2021)
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. ICCV (2021)
Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. CVPR (2021)
Xinyao Chen, Yiwei Zhang, Yanghao Li, Jiangtao Wen
Decision Tree Based Inter Partition Termination For Av1 Encoding. ICASSP (2021)
Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. IEEE Trans. Image Process. 29 (2020)
Jiaying Liu, Sijie Song, Chunhui Liu, Yanghao Li, Yueyu Hu
A Benchmark Dataset and Comparison Study for Multi-modal Human Action Analytics. ACM Trans. Multim. Comput. Commun. Appl. 16 (2) (2020)
Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. CoRR (2020)
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
EGO-TOPO: Environment Affordances from Egocentric Video. CoRR (2020)
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
Ego-Topo: Environment Affordances From Egocentric Video. CVPR (2020)
Yanghao Li, Yuntao Chen, Naiyan Wang, Zhao-Xiang Zhang
Scale-Aware Trident Networks for Object Detection. ICCV (2019)
Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
Scale-Aware Trident Networks for Object Detection. CoRR (2019)
Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. J. Mach. Learn. Res. 20 (2019)
Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. CoRR (2019)
Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu
Temporal Bilinear Networks for Video Action Recognition. AAAI (2019)
Jiaying Liu, Yanghao Li, Sijie Song, Junliang Xing, Cuiling Lan, Wenjun Zeng
Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection. IEEE Trans. Circuits Syst. Video Technol. 29 (9) (2019)
Hongda Jiang, Yanghao Li, Sijie Song, Jiaying Liu
Rethinking Fusion Baselines for Multi-modal Human Action Recognition. PCM (3) (2018)
Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin
Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. SDM (2018)
Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu
Temporal Bilinear Networks for Video Action Recognition. CoRR (2018)
Meiyuan Fang, Yanghao Li, Yuxing Han, Jiangtao Wen
A Deep Convolutional Network Based Supervised Coarse-to-Fine Algorithm for Optical Flow Measurement. MMSP (2018)
Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, Jiaying Liu
Adaptive Batch Normalization for practical domain adaptation. Pattern Recognit. 80 (2018)
Chunhui Liu, Yueyu Hu, Yanghao Li, Sijie Song, Jiaying Liu
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding. CoRR (2017)
Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou
Revisiting Batch Normalization For Practical Domain Adaptation. ICLR (Workshop) (2017)
Yueyu Hu, Chunhui Liu, Yanghao Li, Jiaying Liu
Temporal Perceptive Network for Skeleton-Based Action Recognition. BMVC (2017)
Yuqi Li, Yanghao Li, Hongfei Yan, Jiaying Liu
Deep joint discriminative learning for vehicle re-identification and retrieval. ICIP (2017)
Chunhui Liu, Yueyu Hu, Yanghao Li, Sijie Song, Jiaying Liu
PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding. VSCC@MM (2017)
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Factorized Bilinear Models for Image Recognition. ICCV (2017)
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Demystifying Neural Style Transfer. CoRR (2017)
Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin
Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. SIGCOMM Posters and Demos (2017)
Chunhui Liu, Yanghao Li, Yueyu Hu, Jiaying Liu
Online action detection and forecast via Multitask deep Recurrent Neural Networks. ICASSP (2017)
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Demystifying Neural Style Transfer. IJCAI (2017)
Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. CoRR (2016)
Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, Jiaying Liu
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks. CoRR (2016)
Sijie Song, Yanghao Li, Jiaying Liu, Zongming Quo
Joint sub-band based neighbor embedding for image super-resolution. ICASSP (2016)
Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, Jiaying Liu
Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks. ECCV (7) (2016)
Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou
Revisiting Batch Normalization For Practical Domain Adaptation. CoRR (2016)
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Factorized Bilinear Models for Image Recognition. CoRR (2016)
Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. AAAI (2016)
Sijie Song, Yanghao Li, Zhihan Gao, Jiaying Liu
Face hallucination based on neighbor embedding via illumination adaptation. APSIPA (2015)
Yanghao Li, Jiaying Liu, Wenhan Yang, Zongming Guo
Multi-pose face hallucination via neighbor embedding for facial components. ICIP (2015)
Yanghao Li, Jiaying Liu, Wenhan Yang, Zongming Guo
Neighborhood regression for edge-preserving image super-resolution. ICASSP (2015)
Wei Bai, Yanghao Li, Jiaying Liu, Zongming Guo
Image transformation using limited reference with application to photo-sketch synthesis. VCIP (2014)