Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Jin Zhang; Feng Zhang; Gaocheng Yu; Zhe Ma; Hongbin Wang 006; Minsu Kwon; Haotian Qian; Wentao Tong; Pan Mu; Ziping Wang; et al. (ECCV Workshops (3), 2022)

Structure-Inferred Bi-level Model for Underwater Image Enhancement. - Pan Mu; Haotian Qian; Cong Bai (ACM Multimedia, 2022)

Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network. - Haotian Qian; Wentao Tong; Pan Mu; Zheyuan Liu 009; Hanning Xu (PRICAI (3), 2022)

MosaicNet: A deep-learning-based multi-tile biomedical image stitching method. - Botao Zhao 001; Ming Song; Shengfeng Liu; Lan Sun; Wentao Jiang; Haotian Qian; Xiao-Yong Zhang; Yu Zhang 115; Tianzi Jiang (EMBC, 2023)

Transmission and Color-guided Network for Underwater Image Enhancement. - Pan Mu; Jing Fang; Haotian Qian; Cong Bai (ICME, 2023)

Structure-Guided Adversarial Training of Diffusion Models. - Ling Yang 006; Haotian Qian; Zhilong Zhang; Jingwei Liu; Bin Cui 001 (CVPR, 2024)

Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks. - Jing Zhang; Jingguo Dai; Zhichao Wang; Shengfeng Liu; Haotian Qian; Botao Zhao 001; Yu Zhang 115 (ISBI, 2024)

MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation. - Haotian Qian; Yinda Chen; Shengtao Lou; Fahad Shahbaz Khan; Xiaogang Jin 001; Deng-Ping Fan (NeurIPS, 2024)

Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation. - Haotian Qian; YD Chen; Shengtao Lou; Fahad Shahbaz Khan; Xiaogang Jin 001; Deng-Ping Fan (CoRR, 2024)