Lei Qinqian

I am a Ph.D. student majoring in Electrical and Computer Engineering(ECE) at National University of Singapore (NUS), supervised by Prof. Robby T. Tan and Prof. Xinchao Wang. Before that, I received my Bachelor's Degree from Beijing Institute of Technology, majoring in Automation.

My main research is around computer vision and deep learning, particularly in human-object interaction (HOI) analysis. My current research focuses on the zero-shot / few-shot learning in HOI.

Email: qinqian.lei@u.nus.edu

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[Jun. 2025] Our work "HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation" is accepted by ICCV 2025!

[Sep. 2024] Our work "Efficient Zero-Shot HOI Detection: Enhancing VLM Adaptation with Innovative Prompt Learning" is accepted by NeurIPS 2024!

[Dec. 2023] Our work "Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI" is accepted by AAAI 2024!

HOLa boosts zero-shot HOI detection with low-rank VLM feature adaptation, achieving better action distinction and generalization ability.

We introduce a novel Efficient Zero-shot HOI Detection (EZ-HOI) method to enhance VLM adaptation through prompt learning with a small computational cost.

We propose novel label-uncertain augmentations to enhance query diversity, facilitating effective learning of Bongard-HOI by learning from those new augmented queries.

[2022 June. ] Excellent Graduate of Beijing

[2019, 2021 Sep. ] National Scholarship of China

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