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Yuning Huang
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2020 – today
- 2024
- [j4]Yurong Qian
, Yugang Qin, Hongyang Wei, Yiguo Lu, Yuning Huang, Peng Liu, Yingying Fan:
MFNet: Multi-scale feature enhancement networks for wheat head detection and counting in complex scene. Comput. Electron. Agric. 225: 109342 (2024) - [j3]Zhihao Duan
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 436-450 (2024) - [j2]Bowen Ling, Xiaoheng Deng, Yuning Huang, Jingjing Zhang, Jinsong Gui, Yurong Qian:
Multi-layer collaborative task offloading optimization: balancing competition and cooperation across local edge and cloud resources. J. Supercomput. 80(18): 26483-26511 (2024) - [c10]Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. COMPSAC 2024: 297-305 - [c9]Jingchen Zou, Jianqiang Li, Xi Xu, Yuning Huang, Jing Tang, Changwei Song, Linna Zhao, Wenxiu Cheng, Chujie Zhu, Suqin Liu:
Progressive Sign Language Video Translation Model for Real-World Complex Background Environments. COMPSAC 2024: 519-524 - [c8]Yuning Huang, M. A Hassan, Jiangpeng He, Janine A. Higgins, Megan A. McCrory, Heather A. Eicher-Miller, J. Graham Thomas, Edward Sazonov, Fengqing Zhu:
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. CVPR Workshops 2024: 3685-3694 - [c7]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical Vae For Neural Image Codecs. ICME 2024: 1-6 - [c6]Xinxin Zhou, Yuning Huang, Yucai Li, Xinyue Li:
MAHFF: An Underwater Image Enhancement Method Based on Multi-scale Attention Hybrid Feature Fusion. IJCNN 2024: 1-8 - [c5]Jiahao Pang, Muhammad Asad Lodhi, Junghyun Ahn, Yuning Huang, Dong Tian:
Towards Reproducible Learning-Based Compression. MMSP 2024: 1-6 - [c4]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression for Class-Incremental Learning. PCS 2024: 1-5 - [i5]Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. CoRR abs/2402.07595 (2024) - [i4]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression For Class-Incremental Learning. CoRR abs/2403.06288 (2024) - [i3]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs. CoRR abs/2403.18535 (2024) - [i2]Yuning Huang, Mohamed Abul Hassan, Jiangpeng He, Janine A. Higgins, Megan A. McCrory, Heather A. Eicher-Miller, John Graham Thomas, Edward Sazonov, Fengqing Maggie Zhu:
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. CoRR abs/2405.07827 (2024) - [i1]Jiahao Pang, Muhammad Asad Lodhi, Junghyun Ahn, Yuning Huang, Dong Tian:
Towards Reproducible Learning-based Compression. CoRR abs/2410.09872 (2024) - 2023
- [j1]Yuning Huang, Yurong Qian
A survey of deep learning-based object detection methods in crop counting. Comput. Electron. Agric. 215: 108425 (2023) - [c3]Yuning Huang, Tianqi Wang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Efficient Joint Video Denoising and Super-Resolution. ICIP 2023: 1865-1869 - [c2]Md Adnan Faisal Hossain
Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems. ICME Workshops 2023: 182-187 - [c1]Yuning Huang, Zhihao Duan, Fengqing Zhu:
NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising. ICME Workshops 2023: 188-193
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