Qiuxia Lai | Communication University of China

About Me

I am an associate 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

Computer Vision: image recognition, attention mechanism
Machine Learning: representation learning, continual learning

News

[Jul. 2025] Our papers about image generation and compositional zero-shot learning are accepted to ICCV 2025.
[Sep. 2024] Our paper about continual learning is accepted to NeurIPS 2024.
[Sep. 2024] Our paper about representation learning is accepted to CVIU.
[Feb. 2024] Our paper about remote sensing detection is accepted to CVPR 2024.

Selected Publications

ICCV

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection

Xinhao Cai*, Qiuxia Lai*, Gengsheng Pei, Xiangbo Shu, Yazhou Yao, Wenguan Wang (* Equal contribution)

IEEE International Conference on Computer Vision (ICCV), 2025.

ICCV

A Conditional Probability Framework for Compositional Zero-shot Learning

Peng Wu*, Qiuxia Lai*, Hao Fang, Guo-Sen Xie, Yilong Yin, Xiankai Lu, Wenguan Wang (* Equal contribution)

IEEE International Conference on Computer Vision (ICCV), 2025.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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