Congcong Li
Stay hungry. Stay foolish.
I received my B.Eng. from the University of Electronic Science and Technology of China in 2018 and my Ph.D. from the University of Chinese Academy of Sciences in 2023, and I now work as an AI researcher at Changhong in Chengdu.
My research interests revolve around computer vision and deep learning, with a particular focus on object detection, visual question answering, unsupervised domain adaptation, and compressed video understanding (H.264, H.265). Over the years, I have gained a wealth of project experience and have honed my skills in coding and problem-solving.
Experience
- 2023 – nowAI Researcher, Changhong, Chengdu
- 2021 – 2023Intern, ByteDance, Beijing
- 2017 – 2018Intern, SAP, Chengdu
Education
- 2018 – 2023Ph.D., University of Chinese Academy of Sciences
- 2014 – 2018B.Eng., University of Electronic Science and Technology of China
Publications
- 2022Structured Context Transformer for Generic Event Boundary DetectionarXiv preprint
- 2022End-to-End Compressed Video Representation Learning for Generic Event Boundary DetectionConference on Computer Vision and Pattern Recognition (CVPR)
- 2021Cascaded Temporal Attention Network (CASTANET)Generic Event Boundary Detection Challenge at CVPR 2021, Technical Report
- 2020Spatial Attention Pyramid Network for Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV)
- 2020Iterative Knowledge Distillation for Automatic Check-OutIEEE Transactions on Multimedia (TMM)
- 2019Data Priming Network for Automatic Check-OutACM International Conference on Multimedia (ACM MM)
Projects
- ★ 1.6kSSDHigh quality implementation of SSD in PyTorch.
- XblogA powerful and responsive blog system powered by Laravel 5.5.
- ★ 38VizerBoxes and masks visualization tools.
- ★ 171flask_ishuhuiComic reading website built with Flask. Clear project structure.
- ★ 26DPNetThis repository implements DPNet with PyTorch 1.0.1.
- ★ 410StateLayoutA custom layout that can easily switch different states.
- ★ 58Deep Q NetworkToy implementation of Deep Q Network.