Liqiang Lin

According to our database, Liqiang Lin authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Robust cross-image adversarial watermark with JPEG resistance for defending against Deepfake models.

Zhiyu Lin, Hanbin Lin, Liqiang Lin, Shuwu Chen, Xiaolong Liu

Comput. Vis. Image Underst., 2025

2024

CRAYM: Neural Field Optimization via Camera RAY Matching.

Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

On learning the right attention point for feature enhancement.

Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang

Sci. China Inf. Sci., January, 2023

2022

Learning Reconstructability for Drone Aerial Path Planning.

Yilin Liu, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang, Hui Huang

ACM Trans. Graph., 2022

Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization.

Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang

IEEE Trans. Intell. Transp. Syst., 2022

Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset.

Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, Hui Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

ShapeFormer: Transformer-based Shape Completion via Sparse Representation.

Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski, Daniel Cohen-Or, Hui Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ExtraNet: real-time extrapolated rendering for low-latency temporal supersampling.

Jie Guo, Xihao Fu, Liqiang Lin, Hengjun Ma, Yanwen Guo, Shiqiu Liu, Ling-Qi Yan

ACM Trans. Graph., 2021

Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning.

Ziteng Liu, Liqiang Lin, Qingqing Jia, Zheng Cheng, Yanyan Jiang, Yanwen Guo, Jing Ma

J. Chem. Inf. Model., 2021

Hausdorff point convolution with geometric priors.

Liqiang Lin, Pengdi Huang, Fuyou Xue, Kai Xu, Daniel Cohen-Or, Hui Huang

Sci. China Inf. Sci., 2021

2020

One Point is All You Need: Directional Attention Point for Feature Learning.

Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang

CoRR, 2020