Brief Bio

I received my Ph.D. and Master degrees from NUDT in 2023 and 2018, respectively. Before that, I received my B.E. degree from Shandong University in 2016. Currently, I'm an assistant professor with the College of Electronic Science and Technology, NUDT. My research interests focus on optical imaging and detection, particularly on light field imaging and image super-resolution.

News

2024.09 | I am selected as the World Top 2% Scientists.
2024.05 | Our paper "Disentangling Light Fields for Super-Resolution and Disparity Estimation" is selected as an ESI Hot Paper.
2024.05 | Our paper "Dense Nested Attention Network for Infrared Small Target Detection" is selected as an ESI Hot Paper.
2024.05 | One paper on unpaired image and point cloud restoration is accepted by IEEE TPAMI.
2024.03 | Our paper "Real-World Light Field Image Super-Resolution via Degradation Modulation" is accepted by IEEE TNNLS.
2024.02 | Our paper "Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution" is accepted to CVPR 2024.
2023.11 | One paper on multi-frame infrared small target detection is accepted to IEEE TNNLS.
2023.09 | Four papers are selected as Highly Cited Papers in the latest issue of ESI Index.
2023.07 | Two papers on light field image super-resolution and pointly supervised infrared small target detection are accepted to ICCV 2023.
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.
2021.03 | 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 --- 2024

Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds

Longguang Wang, Yulan Guo, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An

IEEE TPAMI, 2024.

| Paper | Code

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, Yulan Guo

CVPR, 2024.

| Paper | Code

Real-World Light Field Image Super-Resolution via Degradation Modulation

Yingqian Wang, Zhengyu Liang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo

TNNLS, 2024.

| Project Page | Paper | Code

NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results

Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo et al.

CVPRW, 2024.

| Paper | Github | BasicLFSR Toolbox

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

ICCV, 2023.

| Paper | Supp | Webpage | Code

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

ICCV, 2023.

| Paper | Supp | Webpage | 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

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.

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 Hot Paper)

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 (ESI Hot Paper)

| Paper | Code

Light Field Image Super-Resolution with Transformers

Zhengyu Liang*, Yingqian Wang*, Longguang Wang, Jungang Yang, Shilin Zhou

IEEE SPL, 2022.

| 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.

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.

Learning a Single Network for Scale-Arbitrary Super-Resolution

Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

ICCV, 2021.

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)

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, CVPR 2024
ECCV 2022, ECCV 2024
ICCV 2021, ICCV 2023
NeurIPS 2023, NeurIPS 2024
ICLR 2024
AAAI 2023, AAAI 2024
ACM MM 2021, ACM MM 2022, ACM MM 2023, ACM MM 2024
......

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 Broadcasting
IEEE Transactions on Instrumentation and Measurement
ISPRS Journal of Photogrammetry and Remote Sensing
International Journal of Applied Earth Observation and Geoinformation
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

2024 | Outstanding PhD Thesis Award of NUDT
2023 | Excellent Doctoral Graduates of NUDT (5 over 228)
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: 2023-07-23