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2020 – today
- 2025
[j1]Zhongzhan Huang, Senwei Liang, Mingfu Liang:
A generic shared attention mechanism for various backbone neural networks. Neurocomputing 611: 128697 (2025)- 2024
- [c12]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. CVPR 2024: 14695-14706 - [c11]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CVPR 2024: 16351-16361 - [c10]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. ICME 2024: 1-6 - [c9]Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin:
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML 2024 - [i12]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 abs/2403.17373 (2024) - 2023
- [c8]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang
, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops 2023: 853-862 - [c7]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV 2023: 1412-1422 - [c6]Xiaoying Xing, Mingfu Liang, Ying Wu:
TOA: Task-oriented Active VQA. NeurIPS 2023 - [i11]Zhongzhan Huang, Mingfu Liang, Liang Lin:
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR abs/2302.10184 (2023) - [i10]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR abs/2304.12536 (2023) - [i9]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR abs/2308.09939 (2023) - [i8]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CoRR abs/2311.13793 (2023) - 2022
- [c5]Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu:
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. ECCV (26) 2022: 364-380 - [i7]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i6]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin:
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR abs/2210.16101 (2022) - 2021
- [c4]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) 2021: 3-15 - [c3]Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam:
CAP: Context-Aware Pruning for Semantic Segmentation. WACV 2021: 959-968 - [i5]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. CoRR abs/2107.05033 (2021) - [i4]Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He:
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR abs/2107.05804 (2021) - 2020
- [c2]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. AAAI 2020: 4206-4214 - [c1]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI 2020: 4819-4827 - [i3]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang:
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR abs/2011.14058 (2020)
2010 – 2019
- 2019
- [i2]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. CoRR abs/1905.10671 (2019) - [i1]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR abs/1908.04008 (2019)
Coauthor Index
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