Predicting Depth from Single RGB Images with Pyramidal Three-Streamed Networks. - Songnan Chen; Mengxia Tang; Jiangming Kan (Sensors, 2019)

Monocular image depth prediction without depth sensors: An unsupervised learning method. - Songnan Chen; Mengxia Tang; Jiangming Kan (Appl. Soft Comput., 2020)

Color-based moment invariants under changing illumination. - Danyu Sun; Jiangming Kan; Songnan Chen (J. Electronic Imaging, 2020)

Encoder-Decoder Structure With the Feature Pyramid for Depth Estimation From a Single Image. - Mengxia Tang; Songnan Chen; Dong Ruifang; Jiangming Kan (IEEE Access, 2021)

Collaborative Contrastive Learning-Based Generative Model for Image Inpainting. - Yongqiang Du; Haoran Liu; Songnan Chen (IEEE Access, 2022)

Contrastive learning-based generative network for single image deraining. - Yongqiang Du; Zilei Shen; Yining Qiu; Songnan Chen (J. Electronic Imaging, 2022)

Encoder-Decoder Structure with Multiscale Receptive Field Block for Unsupervised Depth Estimation from Monocular Video. - Songnan Chen; Junyu Han; Mengxia Tang; Ruifang Dong; Jiangming Kan (Remote. Sens., 2022)

InViT: GAN Inversion-Based Vision Transformer for Blind Image Inpainting. - Yongqiang Du; Haoran Liu; Shengjie He; Songnan Chen (IEEE Access, 2024)