James Liang

According to our database, James Liang authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective.

Jean Noël Nikiema, James Liang, Man Qing Liang, Davllyn dos Anjos, Aude Motulsky

J. Biomed. Informatics, 2024

Image Translation as Diffusion Visual Programmers.

Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

CoRR, 2024

2023

Tripartite Feature Enhanced Pyramid Network for Dense Prediction.

Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou

IEEE Trans. Image Process., 2023

ClusterFormer: Clustering As A Universal Visual Learner.

James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.

Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

CoRR, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CLUSTSEG: Clustering for Universal Segmentation.

James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.

Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Triangulation-Based Visual Localization for Field Robots.

James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Justin Yang, Dongfang Liu

IEEE CAA J. Autom. Sinica, 2022

Learning Equivariant Segmentation with Instance-Unique Querying.

Wenguan Wang, James Liang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.

Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022