Shaocong (Daniel) Xu
Xiamen University
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I am a computer vision engineer at AIBEE, working closely with Dr. Feng Zhou. Before that, I obtained my M.S. degree in computer science from Xiamen University, under the guidance of Prof. Shihui Guo. During my master's program, I was honored to be a research intern at the DISCOVER Lab, Tsinghua University, under the guidance of Prof. Hao Zhao.
My research interests are primarily focused on the field of computer vision, with a particular emphasis on areas such as scene perception, unsupervised learning, semi-supervised learning, and language-guided scene perception.
news
Jun, 2024 | I graduate as a Master in computer science. photos |
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Feb, 2024 | Our work ECT is accepted to IVC (JCR1, IF4.7) . |
Sept, 2023 | Our tutorial paper, Foundation Models for Robotics: Best Known Practices, is available. |
Jul, 2023 | Our work INT2 is accepted to ICCV2023. |
Jun, 2023 | We secure the second place in the CVPR 2023 Situation Understanding Challenge. Our technical report, SLiP: Situated-oriented Localization in Point Clouds, is now available. |
accomplishments
June 21, 2021 | I was honored to receive the prestigious National Scholarship, which is highest scholarship awarded by the Ministry of Education of China. |
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selected publications
*equal contribution; ♯corresponding author.
2023
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P²AD: Learning Point-wise Abstaining Penalty for LiDAR Point Cloud Anomaly Detection Using Diverse Synthetic DataArxiv 2023
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ECT: Fine-grained Edge Detection with Learned Cause Tokens
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INT2: Interactive Trajectory Prediction at IntersectionsIn Proc. of the IEEE International Conf. on Computer Vision (ICCV) 2023
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Intelligent Beehive Monitoring System based on Internet of Things and Colony State AnalysisIn Submission 2023
miscellaneous
*equal contribution; ♯corresponding author.