Welcome to Xin Yu’s Personal Homepage

I am Xin Yu, an Associate Professor at the University of Adelaide (Dec 2025 – present). My research focuses on computer vision and machine learning, with a particular interest in enabling technologies that improve accessibility and understanding through visual intelligence. I received my PhD degree in Computer Science from the Australian National University, and a PhD degree in Communication and Information Engineering from Tsinghua University. Currently, I am a Visiting Faculty Researcher at Google (2024–-Present), and leading a Visual Intelligence Group at the Australian Institute for Machine Learning (AIML).

I am the recipient of several prestigious awards, including the Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA, 2023–2025), the Google Research Scholar Program Award (2021), and the Google Inclusion Research Award (2023). I was also honoured with the Queensland Young Tall Poppy Science Award from the Australian Institute of Policy and Science (AIPS). I also received the CORE Outstanding Research Contribution Award 2026 from the Computing Research and Education Association of Australasia (CORE).

I am constantly recruiting highly motivated students with strong backgrounds in CS, EE and Math.

News


[2025-09] 🎤 I am honoured to be invited as a keynote speaker at GSUN - The Global Sport University Network to introduce our first-of-its-kind work on pose estimation for populations with limb deficiencies.
[2025-06] 📝🎉 One papers accepted to NeurIPS 2025!
[2025-06] 📝🎉 Three papers accepted to ICCV 2025! Congratulations Team!
[2025-06] 🎉🚀 YouFor2032 Talent Search App is online now!
[2025-06] 🏆🏅🎉 Chen Liu won the first prize in the challenge of Affective & Behavior Analysis in-the-wild in conjunction with CVPR 2025! Congratulations!
[2025-06] 📝🎯🎉 Three papers accepted to ICCV 2025! Congratulations Team!
[2025-03] 📝🎯🎉 Five papers accepted to CVPR 2025! Congratulations Team!
[2025-02] ✨ I have been invited as a penalist in Google Research Open Day 2025.
[2024-11] ✨ I have been invited as a track chair in Web4Good at WWW25.
[2024-10] ✨ I have been invited as a panelist in the AI Crime Time host by KPMG.
[2024-04] ℹ️ I will work at Google Research as a Visiting Research Scientist (Apr 2024 - Present), while continuing to recruit outstanding PhD students.
[2024-03] 📝🎉 Three papers accepted to CVPR 2024!
[2024-01] 📘 One paper published in IEEE TPAMI.
[2023-09] 📝 Two papers accepted to NeurIPS 2023!
[2023-07] 📝 One paper accepted to ICCV 2023.
[2023-06] ✨ Serving as Area Chair for CVPR 2024.
[2023-05] 📊 The Auslan-Daily and RVD (Video-based Retinal Vessel Segmentation) datasets are now online!
[2023-03] 🎤 Serving as Local Chair for AJCAI 2023.
[2023-02] 📝 Three papers accepted to CVPR 2023 — congratulations to Heming, Xingqun and Haoqian!
[2023-02] 📝 Two papers accepted to ICLR 2023 — congratulations to Yadan and Ping!
[2023-01] 🎤 Invited talk at the Synthetic Data for Machine Learning Workshop (IJCNN 2023).
[2023-01] 📘 One paper accepted by IEEE TVCG — congratulations to Chen Liu!
[2022-12] 🎤 Invited talk at the Face Analysis Tutorial (ACCV 2022).
[2022-11] ✨ Serving as Senior Meta Reviewer for IJCAI 2023.
[2022-09] 🏆 Awarded the ARC DECRA Fellowship (2023–2025).
[2022-08] 🥈 Runner-up Award in the Sign Language Spotting Challenge (ECCV 2022).
[2022-07] 📝 Two papers accepted to ECCV 2022.
[2022-04] ✨ Serving as Area Chair for WACV 2023.
[2022-03] ✨ Serving as Area Chair for ACCV 2022.
[2021-03] 🏆 Received the Google Research Scholar Program Award.
[2021-10] 🏅 Awarded ICCV 2021 Outstanding Reviewer (Top 5%).
[2021-06] 🏅 Awarded CVPR 2021 Outstanding Reviewer.
[2020-08] 🏅 Awarded ECCV 2020 Outstanding Reviewer.
[2020-06] 📝 Our CVPR 2020 paper “Transferring Cross-domain Knowledge for Video Sign Language Recognition” was nominated for Best Paper Award.
[2020-03] 🏅 Won the Best Paper Honorable Mention at WACV 2020.