Zhineng Zhang received a bachelor's degree in Computer Science and Technology from Henan Polytechnic University, China, in 2021. He is currently pursuing an MS degree at Jiangnan University. His research interests include computer vision and deep learning, with a focus on light field imaging, image super-resolution, and depth estimation.

Tao Yan received his dual PhDs in computer science from City University of Hong Kong (CityU) and University of Science and Technology of China (USTC). He is currently an associate professor with the School of Artificial Intelligence and Computer Science, Jiangnan University in China. He has served as a reviewer for IEEE TIP/TCSVT/TMM/TCE, IJCV, Knowledge-Based Systems, etc. His research interests include computer vision, light field processing, and image restoration.

Hao Huang received a bachelor’s degree in computer science from Hebei University of Technology, China, in 2020. He is currently pursuing an MS degree with Jiangnan University. His research interests include computer vision and deep learning, with a focus on glass and mirror detection and reflection removal.

Jinsheng Liu received a bachelor's degree in software engineering from Shandong Jianzhu University, China, in 2022. He is currently pursuing an MS degree with Jiangnan University. His research interests include computer vision and deep learning, with a focus on small object detection in adverse weather conditions.

Chenglong Wang received a bachelor’s degree in Internet of Things Engineering from Jiangnan University, China, in 2022. He is currently pursuing an MS degree with Jiangnan University. His research interests include computer vision and deep learning, with a focus on stereo image deraining and video deraining.

Cihang Wei received a Bachelor of Science degree in the School of Science from Jiangnan University in 2024. He is currently pursuing an MS degree with Jiangnan University. His research interests include computer vision and deep learning, with a focus on image deraining, neural radiance fields, and light field images.