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Qiuxia Lai

Assistant Professor
Communication University of China
ashleylqx (at) gmail.com


About Me

I am an assistant professor at Communication University of China. I received my Ph.D. degree from the Department of Computer Science and Engineering, the Chinese University of Hong Kong in 2021. Before that, I received the M.S. and B.E. degrees from the School of Automation, Huazhong University of Science and Technology, in 2016 and 2013, respectively. I was an intern at Inception Institute of Artificial Intelligence, UAE from Jun. 2019 to Dec. 2019.

Research Interests

News

Selected Publications

  1. NeurIPS
    Vector Quantization Prompting for Rehearsal-Free Continual Learning
    Li Jiao, Qiuxia Lai , Yu Li, Qiang Xu ( Corresponding author)
    Neural Information Processing Systems (NeurIPS), 2024.
    PDF Code

  2. CVIU
    Spatial Attention for Human-Centric Visual Understanding: An Information Bottleneck Method
    Qiuxia Lai, Yongwei Nie, Yu Li, Hanqiu Sun, Qiang Xu
    Computer Vision and Image Understanding (CVIU), 2024.
    PDF Code

  3. CVPR
    Poly Kernel Inception Network for Remote Sensing Detection
    Xinhao Cai*, Qiuxia Lai*, Yuwei Wang*, Wenguan Wang, Zeren Sun, Yazhou Yao (* Equal contribution)
    IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
    PDF Code

  4. TCSVT
    Self-supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades
    Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
    IEEE Trans. on Circuits and Systems for Video Technology (IEEE TCSVT), 2023.
    PDF Code

  5. TIP
    Weakly Supervised Visual Saliency Prediction
    Qiuxia Lai, Tianfei Zhou, Salman Khan, Hanqiu Sun, Jianbing Shen, Ling Shao
    IEEE Trans. on Image Processing (IEEE TIP), 2022.
    PDF Code

  6. IJCAI
    Information Bottleneck Approach to Spatial Attention Learning
    Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
    International Joint Conference on Artificial Intelligence (IJCAI), 2021.
    PDF Code

  7. TPAMI
    Salient object detection in the deep learning era: An in-depth survey
    Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, Ruigang Yang
    IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021.
    PDF Code

  8. TMM
    Understanding more about human and machine attention in deep neural networks
    Qiuxia Lai, Salman Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, Ling Shao
    IEEE Trans. on Multimedia (IEEE TMM), 2020.
    PDF

  9. PR
    Video super-resolution via pre-frame constrained and deep-feature enhanced sparse reconstruction
    Qiuxia Lai, Yongwei Nie, Hanqiu Sun, Qiang Xu, Zhensong Zhang, Mingyu Xiao
    Pattern Recognition (PR), 2020.
    PDF

  10. TIP
    Video saliency prediction using spatiotemporal residual attentive networks
    Qiuxia Lai, Wenguan Wang, Hanqiu Sun, Jianbing Shen
    IEEE Trans. on Image Processing (IEEE TIP), 2019.
    PDF Code

  11. CGI
    Temporal coherent video super-resolution via pre-frame-constrained sparse reconstruction
    Qiuxia Lai, Yongwei Nie, Zhensong Zhang, Hanqiu Sun
    Computer Graphics International (CGI), 2018.
    PDF

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