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"There is no truth, only explanation."

Wan, Bo (万博)

PhD candidate @ KU Leuven

ABOUT

I am currently the last year Ph.D. student supervised by Prof. Tinne Tuytelaars at KU Leuven, Belgium. Before that, I received the B.S. degree from the Beijing University of Posts and Telecommunications in 2017, and I completed my M.S. studies supervised by Prof. Xuming He at ShanghaiTech University in 2020.

My research interests focus on:

  • Image/Video generation

  • Vision-Language Understanding, including multitasking and pretraining

  • Relation-aware visual scene understanding

NEWS

July. 2023 - Dec. 2023

    Student researcher at Google DeepMind, working on location-aware vision-language pretraining.

Oct. 2022 - Feb. 2023

    Student researcher at Google Brain (Zurich). I'm excited to have such a great opportunity to closely work with Xiaohua Zhai, Lucas Beyer and other group members.

Publication

  1. M. Li*, B. Wan*, D. Zhou, Sien Moens, and T. Tuytelaars, "Animate Your Motion: Turning Still Images into Dynamic Videos", Arxiv Preprint, 2024. [pdf][code]

  2. H. Diao, B. Wan, Y. Zhang, X. Jia, H. Lu, and L. Chen, "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [pdf][code]

  3. B. Wan, and T. Tuytelaars, "Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels", WACV, 2024. [pdf]

  4. Lucas Beyer*, Bo Wan*, Gagan Madan*, Filip Pavetic*, Andreas Steiner*, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai*, "A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision", Arxiv Preprint, 2023. [pdf]

  5. B. Wan, Y. Liu, D. Zhou, T. Tuytelaars, and X. He, "Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning", The International Conference on Learning Representations (ICLR) , 2023. [pdf][code]

  6. B. Wan, W. Han, Z. Zheng, and T. Tuytelaars, "Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling", The International Conference on Learning Representations (ICLR) Oral, 2022. [pdf][code]

  7. Y. Liu*, B. Wan*, L. Ma, and X. He, "Relation-aware Instance Refinement for Weakly Supervised Visual Grounding", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [pdf][code]

  8. Y. Liu*, B. Wan*, L. Ma, and X. He, "Learning cross-modal context graph for visual grounding", The AAAI Conference on Artificial Intelligence, 2020. [pdf][code]

  9. B. Wan*, D. Zhou*, Y. Liu, R. Li, and X. He, "Pose-aware multi-level feature network for human object interaction detection", The IEEE/CVF International Conference on Computer Vision (ICCV) Oral, 2019. [pdf][code]

  10. R. Li, S. Zhang, B. Wan, and X. He, "Bipartite graph network with adaptive message passing for unbiased scene graph generation", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [pdf][code]

  11. Q. He, D. Zhou, B. Wan, and X. He, "Single Image 3D Object Estimation with Primitive Graph Networks", The ACM International Conference on Multimedia, 2021. [pdf][code]

Note: * indicates equal contribution.

Work Experience

Student Researcher Intern @ Google DeepMind

Jul. 2023 - Dec. 2023

    Work on the research topic of location-aware vision-language pretraining.

Student Researcher Intern @ Google Brain Zurich

Oct. 2022 - Feb. 2023

    Work on the research topic of multi-task learning.

Research Intern @ Tencent AI Lab

Aug. 2020 - Oct. 2020

    Work on the research topic on weakly-supervised human-object interactoin detection.

Algorithm Intern @ Microsoft Beijing

Mar. 2017 - Jun. 2017

    Explore algorithms for Bing Search and Xiaoice Question Answering system in Chinese.

Service

Reviewer of TPAMI, ICLR, NeurIPS, ICML, CVPR, ICCV, ECCV, WACV, ICIP

© 2022 - Bo Wan