참여교수

김태균
참여교수
전산학부

  • 비주얼 컴퓨팅
  • 인공지능·정보서비스
  • PhD University of Cambridge 2008
  • J. Lee*, M. Sung*, H. Kim, T-K. Kim, Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
  • D. Antotsiou, C. Ciliberto, T-K Kim, Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division, Proc. of Int. Conf. on Robotics and Automation (ICRA), Philadelphia, USA, 2022.
  • J. Sun, B. Bhattarai, Z. Chen T-K. Kim, SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency, Proc. of AI for Content Creation Workshop at CVPR, New Orleans, USA, 2022.
  • S. Sapkota, B. Khanal, B. Bhattarai*, B. Khanal, T-K. Kim, Label Geometry Aware Discriminator for Conditional Generative Networks, Prof. of 26th International Conference on Pattern Recognition (ICPR), Montréal, Québec, 2022.