Liang, Mingfu

13 publications

CVPR 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu

ICCV 2025 AutoScape: Geometry-Consistent Long-Horizon Scene Generation Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker

CVPR 2025 Incremental Object Keypoint Learning Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu

CVPR 2024 AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker

ICML 2024 AttNS: Attention-Inspired Numerical Solving for Limited Data Scenarios Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin

CVPR 2024 Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu

CVPRW 2023 Exploring Compositional Visual Generation with Latent Classifier Guidance Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min

NeurIPS 2023 TOA: Task-Oriented Active VQA Xiaoying Xing, Mingfu Liang, Ying Wu

ICCV 2023 Understanding Self-Attention Mechanism via Dynamical System Perspective Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin

ECCV 2022 Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu

WACV 2021 CAP: Context-Aware Pruning for Semantic Segmentation Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam

AAAI 2020 DIANet: Dense-and-Implicit Attention Network Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

AAAI 2020 Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang