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 and object interaction analysis and vision–language models. I am interested in leveraging large vision–language models to reason about interaction-centric visual concepts, with the long-term goal of building models that can robustly generalize to unseen interactions and complex human–object scenarios.

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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