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Lv/Lyu Tang
My name is Lv Tang. I received my Bachelor of Science degree from the School of Information Science and Technology, Southwest Jiaotong University (SWJTU) in 2018. I obtained my Master’s degree from the Department of Computer Science, Nanjing University in 2021. I received my Ph.D. degree from the School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS) in 2025. I am currently a Postdoctoral Researcher in the Department of Electrical and Computer Engineering at the University of Alberta.
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Research
I received my Ph.D. degree from the University of Chinese Academy of Sciences (UCAS), where my research focused on generative AI, high-level vision and low-level vision. Looking ahead, my research interests primarily lie in MLLMs and their applications across various downstream tasks. To date, I have published 13 papers in top-tier conferences and journals, contributing to a total of 35 publications that have accumulated over 1250 citations.
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News
- 2026-05: One paper is accpeted by TIP 2026.
- 2025-12: One paper is accpeted by TMM 2025.
- 2025-08: One paper is accpeted by Neural Networks 2025.
- 2024-12: Two papers are accpeted by TOMM 2024 and AAAI2025.
- 2024-07: One paper is accpeted by ACMMM 2024.
- 2024-06: One paper is accpeted by IJCV 2024.
- 2024-03: One paper is accepted by TOMM 2024.
- 2024-02: One paper is accepted by CVPR 2024.
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Selected Publications
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Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao,
Lv Tang*,
Peng-Tao Jiang,
Hao Zhang,
Jinwei Chen,
Bo Li (Corresponding author and Co-first author)
AAAI 2025 (Oral)
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CoVP: Harnessing multimodal large language models for zero-shot camouflaged object detection
Lv Tang,
Peng-Tao Jiang,
Zhi-Hao Shen,
Hao Zhang,
Jinwei Chen,
Bo Li
ACMMM 2024
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Towards training-free open-world segmentation via image prompting foundation models
Lv Tang,
Peng-Tao Jiang,
Haoke Xiao,
Bo Li
IJCV 2024
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ASAM: boosting segment anything model with adversarial tuning
Bo Li,
Haoke Xiao,
Lv Tang* (Corresponding author)
CVPR 2024
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From composited to real-world: Transformer-based natural image matting
Yanfeng Wang,
Lv Tang*,
Yi-Jie Zhong,
Bo Li (Corresponding author)
TCSVT 2024
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High Efficiency Deep-learning Based Video Compression
Lv Tang,
Xinfeng Zhang
TOMM 2024
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Scene Matters: Model-based Deep Video Compression
Lv Tang,
Xinfeng Zhang,
Gai Zhang,
Xiaoqi Ma
ICCV 2023
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Toward stable co-saliency detection and object co-segmentation
Bo Li,
Lv Tang*,
Senyun Kuang,
Mofei Song,
Shouhong Ding (Corresponding author)
TIP 2022
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Re-thinking the relations in co-saliency detection
Lv Tang,
Bo Li,
Senyun Kuang,
Mofei Song,
Shouhong Ding
TCSVT 2022
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Detecting camouflaged object in frequency domain
Yi-Jie Zhong,
Bo Li,
Lv Tang*#,
Senyun Kuang,
Shuang Wu,
Shouhong Ding (Corresponding and Co-first author)
CVPR 2022
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Disentangled high quality salient object detection
Lv Tang,
Bo Li,
Yi-Jie Zhong,
Senyun Kuang,
Shouhong Ding,
Mofei Song
ICCV 2021
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