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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
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Research
See full list at Google Scholar. Representative papers are shown below.
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DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
Tianhe Ren,
Yihao Chen,
Qing Jiang,
Zhaoyang Zeng,
Wenlong Liu,
Yuda Xiong,
Zhengyu Ma,
Junyi Shen,
Yuan Gao,
Xiaoke Jiang,
Xingyu Chen,
Zhuheng Song,
Yuhong Zhang,
Hongjie Huang,
Han Gao,
Shilong Liu,
Hao Zhang,
Feng Li,
Kent Yu,
Lei Zhang
Tech report, Nov. 2024
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SymPoint Revolutionized: Boosting Panoptic Symbol Spotting with Layer Feature Enhancement
Wenlong Liu,
Tianyu Yang,
Qizhi Yu,
Lei Zhang
Tech report, July. 2024
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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
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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
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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
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Selected Awards
Double Winner in CVPR 2022 CLVision Challenge Track 2 and Track 3:
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Professional Services
Conference Reviewer:
European Conference on Computer Vision (ECCV), 2022.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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