Zhen Zhu

zhenzhu_new.jpg
Picture taken in Hawaii in 2024.

Envision the whole of you.

CS Ph.D. candidate at University of Illinois at Urbana-Champaign (UIUC).

Welcome to my homepage! I’m Zhen Zhu, a final year Ph.D. candidate at the University of Illinois at Urbana-Champaign (UIUC), working with Professor Derek Hoiem. I received my Master’s degree from Huazhong University of Science and Technology in June 2020, supervised by Professor Xiang Bai. Prior to that, I obtained my Bachelor’s degree from the School of Computer Science and Technology, HUST in 2017. My current research interests include creating flexible and efficient continual learning systems, vision-language models, generative models, and more.

If you find my research interests and background align with potential collaboration opportunities, please don’t hesitate to reach out to me via email. I’m excited about connecting with people and fostering innovative research especially in interdisciplinary fields such as computer vision, cognitive science, and robotics.

You can clik on CV for more details about me.

News

Sep 20, 2024 Our TreeProbe paper is accepted by TMLR.
Aug 12, 2024 Our AnytimeCL paper is accepted by ECCV2024 as an oral presentation.
May 21, 2024 I started working as a research intern at Google, working with Daniel ReMine and Catherine Zhang.
Aug 01, 2023 One paper about multi-modal generation accepted to WACV2024 in the first round.
May 15, 2023 Internship started at Adobe with the same group.

Selected Publications

2024

  1. ECCV
    Anytime Continual Learning for Open Vocabulary Classification
    Zhen Zhu, Yiming Gong, and Derek Hoiem
    ECCV. *Oral Presentation , 2024
  2. TMLR
    Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
    Zhen Zhu , Weijie Lyu, Yao Xiao, and Derek Hoiem
    TMLR, 2024

2022

  1. ECCV
    CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
    Zijie WuZhen Zhu, Junping Du, and Xiang Bai
    In ECCV. *Oral Presentation , 2022

2021

  1. TPAMI
    Progressive and Aligned Pose Attention Transfer for Person Image Generation
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

2020

  1. ECCV
    Semantic Flow for Fast and Accurate Scene Parsing
    Xiangtai LiAnsheng YouZhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, and Yunhai Tong
    In ECCV. *Oral Presentation , 2020
  2. CVPR
    Semantically Multi-modal Image Synthesis
    Zhen Zhu , Zhiliang Xu, Ansheng You, and Xiang Bai
    In CVPR, 2020

2019

  1. ICCV
    Asymmetric Non-local Neural Networks for Semantic Segmentation
    Zhen ZhuMengde Xu , Song Bai, Tengteng Huang, and Xiang Bai
    In ICCV, 2019
  2. CVPR
    Progressive Pose Attention Transfer for Person Image Generation
    Zhen ZhuTengteng HuangBaoguang Shi, Miao Yu, Bofei Wang, and Xiang Bai
    In CVPR. *Oral Presentation , 2019

2018

  1. TOG
    Non-stationary Texture Synthesis by Adversarial Expansion
    Yang ZhouZhen ZhuXiang BaiDani LischinskiDaniel Cohen-Or , and Hui Huang
    ACM Transactions on Graphics (TOG), 2018
  2. CVPR
    DOTA: A Large-scale Dataset for Object Detection in Aerial Images
    Gui-Song XiaXiang Bai, Jian Ding, Zhen ZhuSerge BelongieJiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang
    In CVPR, 2018
  3. CVPR
    Rotation-sensitive Regression for Oriented Scene Text Detection
    Minghui LiaoZhen ZhuBaoguang Shi , Gui-song Xia, and Xiang Bai
    In CVPR, 2018