Qingwei Wang(็ๆธ
่ณ)
๐ I've graduated from SUST with a bachelor's degree in Information and Computing Science!
๐ I've graduated from CTGU with a master's degree in Computer Technology!
๐ I'm currently working on CS department @SUSTech as Research Assistant.
๐ I'm currently looking for a PhD position in computer vision and deep learning.
Email  / 
ไธญๆ็็ฎๅ  / 
ORCID  / 
Github  / 
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Education
Shaanxi University of Science and Technology, School of Arts and Sciences 2015.09-2019-06
China Three Gorges University, School of Computer and Information Sciences 2021.09-2024.07
Working Experience
Southern University of Science and Technology 2023.2-2024.3
Visiting Student
Engaged in research on multimodality at the Tracking Group, Visual Intelligence & Perception Lab, SUSTech.
Focus on multi-modal camouflage object detection.
The paper on Depth-aided Camouflaged Object Detection has been accepted by ACM MM 2023.
Southern University of Science and Technology 2024.7-present
Research Assistant
Research
I'm interested in camouflage object detection, multi-modal approaches, computer vision, and machine learning..
Note that *contributed equally
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Depth-aided Camouflaged Object Detection
Qingwei Wang*,
Jinyu Yang*,
Xiaosheng Yu,
Fangyi Wang,
Peng Chen,
Feng Zheng
ACM MM, 2023 (CCF A)
Project page
Paper
We introduce depth information as an additional cue
to help break camouflage.
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All Robots in One: A New Standard and Unified Dataset for Versatile,
General-Purpose Embodied Agents
Zhiqiang Wang*,
Hao Zheng*,
Yunshuang Nie*,
Wenjun Xu*,
Qingwei Wang*,
Hua Ye*,
Zhe Li,
Kaidong Zhang,
Xuewen Cheng,
Wanxi Dong,
Chang Cai,
Liang Lin,
Feng Zhengโ ,
Xiaodan Liangโ
arXiv, 2024
Project page
Paper
We introduce ARIO (All Robots In One), a new data standard that enhances existing datasets by offering a unified data format, comprehensive sensory modalities, and a combination of real-world and simulated data, we also present a large-scale unified ARIO dataset, comprising approximately 3 million episodes collected from 258 series and 321,064 tasks.
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