Aoming Liu

According to our database, Aoming Liu authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Beyond Token Pruning: Operation Pruning in Vision-Language Models.

Aoming Liu, Reuben Tan, Boqing Gong, Bryan A. Plummer

CoRR, July, 2025

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning.

Shengao Wang, Arjun Chandra, Aoming Liu, Venkatesh Saligrama, Boqing Gong

CoRR, April, 2025

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization.

Siqi Wang, Aoming Liu, Bryan A. Plummer

CoRR, April, 2025

2024

Source-Free Domain Adaptation With Self-Supervised Learning for Nonintrusive Load Monitoring.

Feichi Zhong, Zihan Shan, Gangquan Si, Aoming Liu, Gerui Zhao, Bo Li

IEEE Trans. Instrum. Meas., 2024

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance.

Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer

Proceedings of the Computer Vision - ECCV 2024, 2024

2021

Direct Differentiable Augmentation Search.

Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neural Architecture Search as Sparse Supernet.

Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021