Muxin Pu

According to our database, Muxin Pu authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning.

Mingkang Dong, Hongyi Cai, Xiwen Lei, Jie Li, Tao Zhang, Muxin Pu

CoRR, May, 2026

SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation.

Muxin Pu, Xiao-Ming Wu, Mei Kuan Lim, Chun Yong Chong, Wei Li, Chen Change Loy

CoRR, April, 2026

LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition.

Muxin Pu, Mei Kuan Lim, Chun Yong Chong, Chen Change Loy

CoRR, March, 2026

2025

Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks.

Jie Li, Hongyi Cai, Mingkang Dong, Muxin Pu, Shan You, Fei Wang, Tao Huang

CoRR, November, 2025

Sigma: Semantically Informative Pre-training for Skeleton-based Sign Language Understanding.

Muxin Pu, Mei Kuan Lim, Chun Yong Chong, Chen Change Loy

CoRR, September, 2025

AutoDebias: Automated Framework for Debiasing Text-to-Image Models.

Hongyi Cai, Mohammad Mahdinur Rahman, Mingkang Dong, Jie Li, Muxin Pu, Zhili Fang, Yinan Peng, Hanjun Luo, Yang Liu

CoRR, August, 2025

2024

Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition.

Muxin Pu, Mei Kuan Lim, Chun Yong Chong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing.

Muxin Pu, Chun Yong Chong, Mei Kuan Lim

Proceedings of the 8th IEEE/ACM International Workshop on Metamorphic Testing, 2023

2022

Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing.

Muxin Pu, Meng Yi Kuan, Nyee Thoang Lim, Chun Yong Chong, Mei Kuan Lim

Proceedings of the IEEE/ACM 7th International Workshop on Metamorphic Testing, 2022

Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors.

Nyee Thoang Lim, Meng Yi Kuan, Muxin Pu, Mei Kuan Lim, Chun Yong Chong

Proceedings of the 26th International Conference on Pattern Recognition, 2022