CV

Education

• B.S. in Huazhong University of Science and Technology, 2018.
• Ph.D in Computer Vision, Huazhong University of Science and Technology, 2023 (expected).

Work experience

• Fall 2020 - Spring 2022: Research Intern
  • Microsoft Research Asia
  • Duties included: research on learning paradigm in object recognition task.
  • Supervisor: Zheng Zhang
• Summer 2022: Research Intern
  • Megvii Inc.
  • Duties included: research on multi-modality pretraining.
  • Supervisor: Tong Yang
• Fall 2022 - Summer 2023: Research Intern
  • Microsoft Research Asia
  • Duties included: research on learning paradigm in object recognition task and universal model for all perception tasks.
  • Supervisor: Zheng Zhang

Publications

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Mengde Xu*, Zheng Zhang*, Fangyun Wei, Han Hu, Xiang Bai. Side adapter network for open-vocabulary semantic segmentation. CVPR 2023. Highlight Paper

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Mengde Xu*, Zheng Zhang*, Fangyun Wei*, Yutong Lin, Yue Cao, Han Hu, Xiang Bai.A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model. ECCV 2022.

Bootstrap Your Object Detector via Mixed Training

Mengde Xu*, Zheng Zhang*, Fangyun Wei*, Yutong Lin*, Yue Cao, Stephen Lin, Han Hu, Xiang Bai. Bootstrap your object detector via mixed training. NeurIPS 2021. Spotlight Paper

End-to-End Semi-Supervised Object Detection with Soft Teacher

Mengde Xu*, Zheng Zhang*, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu. End-to-end semi-supervised object detection with soft teacher. ICCV 2021. Earned 800+ stars on GitHub

Asymmetric Non-local Neural Networks for Semantic Segmentation

Zhen Zhu∗, Mengde Xu∗, Song Bai, Tengteng Huang, Xiang Bai. Asymmetric non-local neural networks for semantic segmentation. ICCV 2019.

Service and leadership

• Reviewer for Conferences NeuraIPS, CVPR, ICCV, ECCV and Journals PAMI, TIP and etc.