Brief Bio

I received my B.E. degree from Shandong University in 2016, and received my M.E. degree from NUDT in 2018. Currently, I'm working toward the Ph.D. degree with the College of Electronic Science and Technology, NUDT. My research interests mainly focus on low-level vision, particularly on light field imaging and image super-resolution.

News

2023.02 | One paper on pointly supervised infrared small target detection is accepted to CVPR 2023.
2023.01 | We are organizing NTIRE Stereo Image SR Challenge and NTIRE LF Image SR Challenge at CVPR 2023.
2022.07 | Our paper "Dense Nested Attention Network for Infrared Small Target Detection" is accepted by IEEE TIP.
2022.07 | Our paper "Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference" is accepted by IEEE TPAMI.
2022.03 | Two papers on network quantization and light field depth estimation are accepted to CVPR 2022.
2022.02 | Our paper "Disentangling Light Fields for Super-Resolution and Disparity Estimation" is accepted by IEEE TPAMI.
2022.01 | We are organizing NTIRE Stereo Image Super-Resolution Challenge at CVPR 2022.
2021.10 | Our paper "Dense Dual-Attention Network for Light Field Image Super-Resolution" is accepted by IEEE TCSVT. [pdf]
2021.10 | Our paper "Spatial-Angular Attention Network for Light Field Reconstruction" is accepted by IEEE TIP.
2021.07 | Our paper "Learning a Single Network for Scale-Arbitrary Super-Resolution" is accepted to ICCV 2021.
2021.04 | Our paper "Symmetric Parallax Attention for Stereo Image Super-Resolution" is accepted as an oral paper to NTIRE 2021.
2021.03 | Two papers on single image super-resolution are accepted to CVPR 2021.
2020.11 | Our paper "Light Field Image Super-Resolution Using Deformable Convolution" is accepted by IEEE TIP.
2020.09 | An online tutorial (120 min in Chinese) regarding our Parallax Attention Mechanism is available here.
2020.09 | Our paper "Parallax Attention for Unsupervised Stereo Correspondence Learning" is accepted by IEEE TPAMI.
2020.07 | Our paper "Spatial-Angular Interaction for Light Field Image Super-Resolution" is accepted to ECCV 2020.
2019.12 | Our paper "DeOccNet: Learning to See Through Foreground Occlusions in Light Fields" is accepted to WACV 2020.
2019.03 | A large-scale dataset for stereo image super-resolution is available online at Flickr1024.
2019.02 | Our paper "Learning Parallax Attention for Stereo Image Super-Resolution" is accepted to CVPR 2019.

Publications --- 2023

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo
arxiv, 2023
| Paper | Code
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo et al.
CVPRW, 2023
| Challenge Report | CodaLab Leaderbord | Github (Dataset) | BasicLFSR Toolbox
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo
arxiv, 2023
| Paper | Webpage | Code
Learning Remote Sensing Object Detection with Single Point Supervision
Shitian He, Huanxin Zou, Yingqian Wang, Boyang Li, Xu Cao, Ning Jing
arxiv, 2023
| Paper | Code
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou
CVPR, 2023
| Paper | Supp | Webpage | Code
Publications --- 2022

Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
IEEE TPAMI, 2022. (ESI Highly Cited Paper, Top 1%)
| Paper | Project Page | News | DistgSSR | DistgASR | DistgDisp
Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference
Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An
IEEE TPAMI, 2022
| Paper | Code
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Wei An, Yulan Guo
CVPR, 2022
| Paper | Supp | Code
Learnable Lookup Table for Neural Network Quantization
Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo
CVPR, 2022
| Paper | Supp | Code
Dense Nested Attention Network for Infrared Small Target Detection
Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo
IEEE TIP, 2022
| Paper | Code
Light Field Image Super-Resolution with Transformers
Zhengyu Liang*, Yingqian Wang*, Longguang Wang, Jungang Yang, Shilin Zhou
IEEE SPL, 2022
| Paper | Code
Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution
Yingqian Wang, Zhengyu Liang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo
arXiv, 2022
| Project Page | Paper | Code
Publications --- 2021

Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo
CVPR, 2021
| Paper | Supp | Video Presentation | News | Code
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo
CVPR, 2021
| Paper | Supp | News | Video Presentation | Code
Learning a Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
ICCV, 2021
| Paper | Project Page | Online Demo | News | Code
Spatial-Angular Attention Network for Light Field Reconstruction
Gaochang Wu, Yingqian Wang, Yebin Liu, Lu Fang, Tianyou Chai
IEEE TIP, 2021
| Paper | Project Page | Code
Publications --- 2020

Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An
IEEE TPAMI, 2020 (ESI Highly Cited Paper, Top 1%)
| Paper | Tutorial | News | Dataset | Code
Light Field Image Super-Resolution Using Deformable Convolution
Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo
IEEE TIP, 2020
| Paper | Code
Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
ECCV, 2020
| Paper | News | Presentation | Code
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Yingqian Wang, Tianhao Wu, Jungang Yang, Longguang Wang, Wei An, Yulan Guo
WACV, 2020.
| Paper | News | Poster | Code&Dataset
Publications --- 2019

Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
CVPR, 2019
| Paper | Dataset | News | Code
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo
ICCV Workshop, 2019.
| Paper | Dataset
Academic Services

PC Members:
New Trends in Image Restoration and Enhancement (NTIRE) Wokshop @ CVPR 2023,
Advances in Image Manipulation (AIM) Workshop @ ECCV 2022,
New Trends in Image Restoration and Enhancement (NTIRE) Wokshop @ CVPR 2022,

Challenge Organization:
The 1st Light Field Image Super-Resolution Challenge @ NTIRE 2023,
The 2nd Stereo Image Super-Resolution Challenge @ NTIRE 2023,
The 1st Stereo Image Super-Resolution Challenge @ NTIRE 2022,

Conference Reviewer:
CVPR 2021, CVPR 2022, CVPR 2023
ECCV 2022
ICCV 2021, ICCV 2023
NeurIPS 2023
AAAI 2023
ACM MM 2021, ACM MM 2022, ACM MM 2023
......

Journal Reviewer:
International Journal of Computer Vision
IEEE Transactions on Image Processing
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Computational Imaging
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Instrumentation and Measurement
ISPRS Journal of Photogrammetry and Remote Sensing
Pattern Recognition Letters
Information Fusion
......

Teaching Assistance

Lecture: Optical Imaging and Detection (Spring Term, 2021)
Lecture: Optical Imaging and Detection (Autumn Term, 2020)
Lecture: Signals and Systems (Spring Term, 2020)
Lecture: Target Detection and Signal Processing (Autumn Term, 2019)
Lecture: Target Detection and Signal Processing (Autumn Term, 2018)
Awards & Honors

2022 | First-class Scholarship of NUDT
2021 | Outstanding Master Dissertation Award of Hunan Province
2018 | Guanghua Scholarship
2016 | Excellent Graduates of Shandong Province
2015 | The 1st Prize in the Final of China Mathematics Competitions (45 winners over 63K participants, Top 0.07%)
2015 | National Scholarship (Ministry of Education, Top 2%)
2014 | National Scholarship (Ministry of Education, Top 2%)
2013 | National Scholarship (Ministry of Education, Top 2%)

Last updated: 2023-02-17