Xiaoqian Shen 沈晓倩


Bio: I am currently a Master student of Computer Science at King Abdullah University of Science and Technology supervised by Mohamed Elhoseiny. Before that, I received BSc in Computer Science from Jilin University, China.

Research: I am excited about complex problems that can be tackled with learning-based systems. Currently, my research focuses on generative models, spatiotemporal representation and low-resource learning.

Feel free to reach out to me: xiaoqian.shen@kaust.edu.sa

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News

  • 2023-07 One paper (HRS-Bench) gets accepted to ICCV'23
  • 2023-04 We released MiniGPT-4 and received github 10k stars in 3 days
  • 2023-02 One paper (MoStGAN-V) gets accepted to CVPR'23
  • 2022-09 Start my Master jounery in King Abdullah University of Science and Technology (KAUST)
  • 2022-07 One paper gets accepted to ECCV'22
  • 2021-12 Join Vision-CAIR at King Abdullah University of Science and Technology as a visiting research student

Publications


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Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin Elsayed, Mohamed Elhoseiny
Arxiv preprint 2023
Project Page Paper Code

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HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Bakr, Xiaoqian Shen*, Pengzhan Sun*, Faizan Khan, Erran Li, Mohamed Elhoseiny
International Conference on Computer Vision (ICCV) 2023
Project Page Paper Code

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MoStGAN-V: Video Generation with Temporal Motion Styles
Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny
Computer Vision and Pattern Recognition Conference (CVPR) 2023
Project Page Paper Code

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MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
Deyao Zhu, Chen Jun, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny
Arxiv preprint
Project Page Paper Code Video Model Dataset

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ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Deyao Zhu, Chen Jun, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny
Arxiv preprint
Paper Code

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Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation
Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu
IEEE Transactions on Medical Imaging 2023
Paper

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Exploring hierarchical graph representation for large-scale zero-shot image classification
Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
European Conference on Computer Vision (ECCV), 2022
Project Page Paper Supplementary Code

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Adversarial Text to Continuous Image Generation
Kilichbek Haydarov, Aashiq Muhamed, Jovana Lazarevic, Ivan Skorokhodov, Xiaoqian Shen, Chamuditha Galappaththige, Mohamed Elhoseiny
OpenReview 2022
Project Page Paper Code

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KeMRE: knowledge-enhanced medical relation extraction for Chinese medicine instructions
Tao Qi, Shan Qiu, Xiaoqian Shen, Haopu Chen, Shuai Yang, Hao Wen, Ya Zhang, Yuanqing Wu, Yongfeng Huang
Journal of Biomedical Informatics 2021
Paper

Experience


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Knowledge-enhanced Medical Relation Extraction
Yongfeng Huang's Group Research Assistant, Tsinghua University
Beijing China, Dec 2020 - Mar 2021
Work on knowledge-enhanced framework for medical relation extraction on Chinese medicine instructions.

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Self-Supervised Medical Image Segmentation
Zhenghua Xu's Group Research Assistant, Hebei University of Technology & University of Oxford
Tianjin China, May 2021 - Sep 2021
Construct a domain-shared contrastive generative adversarial framework for medical image segmentation

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Large-scale Zero-shot classification
Internship at Mohamed Elhoseiny's Group, KAUST
Jeddah KSA, Dec 2021 - Mar 2022
Work on large-scale zero-shot classification, which leverages a hierarchical graph and contrastively learns distinctive visual representation.