About me

I am a computer vision & machine learning researcher in the Multimedia R&D Team at Qualcomm. I received my PhD in Electrical and Computer Engineering from UC San Diego in 2024, advised by Prof. Nuno Vasconcelos. Prior to joining UCSD, I received the BEng in Electronic Engineering at the Chinese University of Hong Kong in 2017. I have interned at MIT-IBM Watson AI Lab and Intel AI Lab.

My research centers around building efficient and reliable computer vision models in the open world, under various forms of data and model bias. I am also interested in various topics in the intersection of multimodal learning, video understanding, and generative AI.

News

<08/2024> Defended my doctoral thesis!

<06/2023> Attended CVPR 2023 Doctoral Consortium, mentored by Prof. Kate Saenko

<05/2023> Named as CVPR 2023 Outstanding Reviewer

<03/2023> Paper on sparse video transformers (SViTT) accepted to CVPR 2023

Selected Research

Visit my Google Scholar for full publications.

SViTT: Temporal Learning of Sparse Video-Text Transformers

Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos ⋅ CVPR 2023

Project page ⋅ Code

VALHALLA: Visual Hallucination for Machine Translation

Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio Feris, David Cox, Nuno Vasconcelos ⋅ CVPR 2022

Project page ⋅ Code

Improving Video Model Transfer with Dynamic Representation Learning

Yi Li, Nuno Vasconcelos ⋅ CVPR 2022

Project page ⋅ Code

Learning Representations from Audio-Visual Spatial Alignment

Pedro Morgado*, Yi Li*, Nuno Vasconcelos ⋅ NeurIPS 2020

Project page ⋅ Code

REPAIR: Removing Representation Bias by Dataset Resampling

Yi Li, Nuno Vasconcelos ⋅ CVPR 2019

RESOUND: Towards Action Recognition without Representation Bias

Yingwei Li, Yi Li, Nuno Vasconcelos ⋅ ECCV 2018

Dataset ⋅ Code

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