Publications

Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji. Guided Depth Map Super-Resolution: A Survey. ACM Comput. Survey, 2023.

Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu. Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR, 2023.

Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji. Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji. Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. Proceedings of the AAAI Conference on Artificial Intelligence, 2022.

Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao. Towards end-to-end image compression and analysis with transformers. Proceedings of the AAAI Conference on Artificial Intelligence, 2022.

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao. Simipu: Simple 2d image and 3d point cloud unsupervised pre-training for spatial-aware visual representations. Proceedings of the AAAI Conference on Artificial Intelligence, 2022.

Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu. ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. IEEE Transactions on Neural Networks and Learning Systems, 2022.

Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji. High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Transactions on Image Processing, 2022.