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Zhiqiang Shen
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My research focuses on the broad area of computer vision and machine learning. Specifically, I am interested in deep learning methods for object detection, fine-grained recognition, image/video captioning, etc. Recently, I focus on
Low-bit Networks
Designing and training high-efficiency network structure
Weakly-supervised/Unsupervised Learning
Image Understanding, including object detection, captioning and fine-grained recognition
Few-shot and zero-shot learning
Low-bit Networks
Designing and training high-efficiency network structure
Weakly-supervised/Unsupervised Learning
Image Understanding, including object detection, captioning and fine-grained recognition
Few-shot and zero-shot learning
Papers23 papers
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IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 2 (2020): 398-412
Computer Vision and Image Understanding, (2020): 103050
european conference on computer vision, pp.18-35, (2020)
european conference on computer vision, pp.143-159, (2020)
ICASSP, pp.1888-1892, (2020)
international conference on learning representations, (2020)
ICLR, (2019)
CVPR, (2019)
european conference on computer vision, pp.91-107, (2019)
national conference on artificial intelligence, (2019)
WACV, pp.3442-3451, (2019)
Shen Zhiqiang,Shi Honghui,Yu Jiahui,Phan Hai,Feris Rogerio,Cao Liangliang,Liu Ding,Wang Xinchao,Huang Thomas, Savvides Marios
BMVC, pp.247, (2019)
ECCV, pp.454-470, (2018)
european conference on computer vision, (2018)
ICME, (2017)
ICCV, (2017): 2755-2763
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