Wenlong Liu

I am currently working at The International Digital Economy Academy (IDEA) as Computer Vision Engineer, advised by Prof. Lei Zhang .Prior to this, I was a Applied Researcher at Tencent(Youtu Lab), where I have worked since 2019 to 2022. I'm primarily interested in researching object detection and segmentation, multi-modal learning and vector graphic recognition. In 2019, I received my master's degree from Huazhong University of Science and Technology.

Email / Google Scholar / Github

Research

See full list at Google Scholar. Representative papers are shown below.

SymPoint Revolutionized: Boosting Panoptic Symbol Spotting with Layer Feature Enhancement
Wenlong Liu, Tianyu Yang, Qizhi Yu, Lei Zhang,
Tech report, July. 2024

arXiv / code

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Tianhe Ren, Qing Jiang, Shilong Liu, Zhaoyang Zeng, Wenlong Liu, Han Gao, Hongjie Huang, Zhengyu Ma, Xiaoke Jiang, Yihao Chen, Yuda Xiong, Hao Zhang, Feng Li, Peijun Tang, Kent Yu, Lei Zhang#
Tech report, May. 2024

project page / arXiv / code / online demo

	Symbol as Points: Panoptic Symbol Spotting via Point-based Representation Wenlong Liu, Tianyu Yang, Yuhan Wang, Qizhi Yu, Lei Zhang, Conference on International Conference on Learning Representations (ICLR*), 2024 arXiv / code
	tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Conference on European Conference on Computer Vision (ECCV), 2022 arXiv / code

Selected Awards

Double Winner in CVPR 2022 CLVision Challenge Track 2 and Track 3:

nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection.

Professional Services

Conference Reviewer:

European Conference on Computer Vision (ECCV), 2022.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Amazing template by Jon Barron. Big thanks!