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👋 Hi there

  • My research interests mainly lie in Video Understanding.
    • especially in Untrimmed Video Understanding, Vision-Language Pre-training and Open-Vocabulary Learning

📃 Publications

  • W Jo, G Lim, G Lee, H Kim, B Ko Y Choi, VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression. February 2024, AAAI. [paper][code]
  • W Jo, G Lim, Y Hwang, G Lee, J Kim, J Yun, J Jung, Y Choi, Simultaneous Video Retrieval and Alignment. March 2023, IEEE Access. [paper]
  • J Kim, W Jo, G Lim, J Yun, S Kwak, S Jung, W Cheong, H Choo, J Seo, and Y Choi, Compression Method for MPEG CDVA Global Feature Descriptors CDVA, Journal of Broadcast Engineering. May 2022. [paper]
  • W Jo, G Lim, J Kim, J Yun, Y Choi, Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA. Apr 2022, IEEE Access. [paper][code]

💻 Languages

  • C/C++, Python, Matlab
  • OpenCV
  • Pytorch/Sklearn

🔍Google Scholar / 📅Blog / 📝Homepage

Lim Geun Taek's Projects

videomae icon videomae

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

vlm_survey icon vlm_survey

Collection of AWESOME vision-language models for vision tasks

vstates icon vstates

Video Evnet Extraction via Tracking Visual States of Arguments (AAAI2023)

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