Mingfu Liang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Attention Mechanism

Dynamical Behavior

Semantic Segmentation

Convolutional Neural Networks

Top Venues

Publications

Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR (2024)
Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CoRR (2023)
Xiaoying Xing, Mingfu Liang, Ying Wu
TOA: Task-oriented Active VQA. NeurIPS (2023)
Zhongzhan Huang, Mingfu Liang, Liang Lin
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR (2023)
Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops (2023)
Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR (2023)
Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV (2023)
Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR (2023)
Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. ECCV (26) (2022)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR (2022)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR (2022)
Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
CAP: Context-Aware Pruning for Semantic Segmentation. WACV (2021)
Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. CoRR (2021)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. AAAI (2020)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. CoRR (2019)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR (2019)