The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

Federated Generative Learning with Foundation Models. - Jie Zhang 081; Xiaohua Qi; Bo Zhao (CoRR, 2023)

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

An optimisation control method of manufacturing whole process based on real-time information drive. - Xiaohua Qi; Guan-yi Wei (Int. J. Manuf. Technol. Manag., 2024)

Data-free Knowledge Distillation with Diffusion Models. - Xiaohua Qi; Renda Li; Long Peng; Qiang Ling 001; Jun Yu 001; Ziyi Chen 005; Peng Chang 002; Mei Han; Jing Xiao 006 (CoRR, 2025)

EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model. - Renda Li; Xiaohua Qi; Qiang Ling 001; Jun Yu 001; Ziyi Chen 005; Peng Chang 002; Mei HanJing Xiao (CoRR, 2025)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks. - Su Chen; Xiaohua Qi; Xixun Lin; Yanmin Shang; Xiaolin Xu; Yangxi Li (CoRR, 2025)