Yu Lu

PhD Student

University of Technology Sydney (UTS)
Email: aniki.yulu [AT] gmail dot com

[Google Scholar] [Github] [Twitter]

Yu Lu (路雨) is a second year PhD student at ReLER Lab, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney (UTS). His academic advisors are Prof. Yi Yang. and Dr. Linchao Zhu. He received his M.Eng. degrees from Beijing University of Posts and Telecommunications. His research interests include vision & language learning and video analysis.

Experiences

Research Intern: MMU Kwai Tech, September 2021 - March 2022
Advisior: Dr. Debing Zhang

Research Intern: AI Tencent, April 2021 - June 2021
Advisior: Dr. Yuchen Yuan

Research Intern: IDL Baidu Research, July 2019 - July 2020
Advisior: Prof. Guodong Guo

Publications

ECLIP: Efficient Contrastive Language-Image Pretraining via Ensemble Confidence Learning and Masked Language Modeling
Jue Wang, Haofan Wang, Weijia Wu, Jincan Deng, Yu Lu, Xiaofeng Guo, Debing Zhang
ICML 2022 Pre-training Workshop
[Paper] [Code]

CRIS: CLIP-Driven Referring Image Segmentation
Zhaoqing Wang*, Yu Lu*, Qiang Li, Xunqiang Tao, Yandong Guo, MingMing Gong, Tongliang Liu (* means equal contribution)
CVPR 2022
[Paper] [Code]

GINet: Graph Interaction Network for Scene Parsing
Tianyi Wu*, Yu Lu*, Yu Zhu, Chang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo (* means equal contribution)
ECCV 2020
[Paper] [Code]

News

14 Jun 2022
Our paper "EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling" is accepted by ICML Pre-training Workshop.

4 March 2022
Our paper "CRIS: CLIP-Driven Referring Image Segmentation " is accepted by CVPR2022.

11 July 2020
Our paper "GINet: Graph Interaction Network for Scene Parsing " is accepted by ECCV2020.