Learning Spatial-angular Fusion for Compressive Light Field Imaging in a Cycle-consistent Framework. - Xianqiang Lyu; Zhiyu Zhu; Mantang Guo; Jing Jin 006; Junhui Hou; Huanqiang Zeng (ACM Multimedia, 2021)

Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds. - Zhiyu Zhu; Junhui Hou; Xianqiang Lyu (NeurIPS, 2022)

Learning A Unified 3D Point Cloud for View Synthesis. - Meng You; Mantang Guo; Xianqiang Lyu; Hui Liu 032; Junhui Hou (CoRR, 2022)

Learning a Locally Unified 3D Point Cloud for View Synthesis. - Meng You; Mantang Guo; Xianqiang Lyu; Hui Liu 032; Junhui Hou (IEEE Trans. Image Process., 2023)

RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering. - Xianqiang Lyu; Hui Liu 032; Junhui Hou (ACM Multimedia, 2024)

Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method. - Yuji Lin; Xianqiang Lyu; Junhui Hou; Qian Zhao 002; Deyu Meng (CoRR, 2024)

Enhancing Low-Light Light Field Images With a Deep Compensation Unfolding Network. - Xianqiang Lyu; Junhui Hou (IEEE Trans. Image Process., 2024)

Probabilistic-Based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising. - Xianqiang Lyu; Junhui Hou (Int. J. Comput. Vis., 2024)

MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors. - Qingming Liu; Yuan Liu 025; Jiepeng Wang 001; Xianqiang Lyu; Peng Wang 099; Wenping Wang 001; Junhui Hou (ICLR, 2025)