Xinyu Hou

Xinyu Hou

Ph.D. Candidate in MMLab@NTU

I am currently a Ph.D. candidate supervised by Prof. Chen Change Loy at MMLab@NTU, in the College of Computing and Data Science, Nanyang Technological University, Singapore. I am broadly interested in computer vision, with a focus on safety and fairness issues in generative AI.

Prior to my Ph.D. study, I received my B.Eng. degree with honors (highest distinction) from the same university in 2020. During my undergraduate study, I had valuable experience conducting research with Prof. Lap-Pui Chau and Dr. Yi Wang on vehicle tracking and crowd counting. I also spent a semester at EPFL, working with Dr. Irene Viola and Dr. Alexiou Evangelos on research project about light field and point cloud acquisition. Additionally, I completed an internship at Huawei International under the supervision of Dr. Zhuo Wei and Dr. Rehana Yasmin. These experiences collectively contributed to my growth as a researcher and professional.


News

  • [06/2024]  Our paper AITTI is released to arXiv.
  • [02/2024]  Our paper W+ Adapter is accepted by CVPR 2024.
  • [08/2023]  Our paper VIRMP is accepted by BMVC 2023.


Publications

arXiv 2024
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AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation

Xinyu Hou, Xiaoming Li, Chen Change Loy
arXiv, 2024

Paper | Supplementary Materials | Code | Project Page

CVPR 2024
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When StyleGAN Meets Stable Diffusion: A W+ Adapter for Personalized Image Generation

Xiaoming Li, Xinyu Hou, Chen Change Loy
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Paper | Code | Project Page

BMVC 2023
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Video Infilling with Rich Motion Prior

Xinyu Hou, Liming Jiang, Rui Shao, Chen Change Loy
British Machine Vision Conference (BMVC), 2023

Paper | Poster | Supplementary Materials | Project Page

TIP 2021
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A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

Yi Wang, Junhui Hou, Xinyu Hou, Lap-Pui Chau
IEEE Transactions on Image Processing (TIP), 2021

Paper | Code

ICMEW 2021
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Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization

Yi Wang, Xinyu Hou, Lap-Pui Chau
IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021

Paper | Code

AVSS 2019
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Vehicle Tracking Using Deep SORT with Low Confidence Track Filtering

Xinyu Hou, Yi Wang, Lap-Pui Chau
IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2019

Paper


Educations

Nanyang Technological University, Singapore

Ph.D. in Computer Science
Aug. 2021 — Present


Adviser: Prof. Chen Change Loy

Nanyang Technological University, Singapore

B.Eng. in Electrical and Electronic Engineering
Aug. 2016 — Jun. 2020


Advisers: Prof. Lap-Pui Chau and Dr. Yi Wang

  • Degree with Honors (Highest Distinction)
  • Dean’s List 2019-2020
  • NTU Science and Engineering Scholarhsip

École Polytechnique Fédérale de Lausanne, Switzerland

Semester Exchange
Sep. 2018 — Jan. 2019


Advisers: Dr. Irene Viola and Dr. Alexiou Evangelos


Academic Services

Journal Reviewer:

  • International Journal of Computer Vision (IJCV)

Conference Reviewer:

  • BMVC 2023, 2024
  • ICLR 2024, 2025
  • NeurIPS 2024
  • AISTATS 2025