Generalized Category Discovery:
A new and realistic open-world problem.

SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction.

Learning Attention as Disentangler
for Compositional Zero-shot Learning

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Open-Vocabulary Semantic Segmentation
with Decoupled One-Pass Network

Visual AI Lab (VAIL) is a research group directed by Dr. Kai Han, working on computer vision, machine learning, and artificial intelligence, under Department of Statistics and Actuarial Science, The University of Hong Kong. The overarching goal of our research is to achieve principled and comprehensive visual understanding, close the intelligence gap between machines and humans, and build reliable AI systems for open-world use. Our current research focuses on open-world learning, 3D vision, generative AI, foundation models and their relevant fields.

🚩 Openings:
(1) PhD students: We are always looking for strong students to work on exciting research problems (☞ fellowships and scholarships).
(2) Postdocs: Positions in computer vision and deep learning are available, with a competitive salary.
(3) Interns: HKU Summer Research Programme (☞ details), with the possiblity of conditional PhD offer with HKU-PS scholarship.
Please drop Dr. Kai Han an email with your resume if you are interested in working with us.