Four papers presented at IEEE International Conference on Computer Vision (ICCV), 2023.
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
Inyong Koo*, Inyoung Lee*, Se-Ho Kim, Hee-Seon Kim, Woo-jin Jeon, and Changick Kim (* These two authors contributed equally)
3D Object Detection
Inyong Koo*, Inyoung Lee*, Se-Ho Kim, Hee-Seon Kim, Woo-jin Jeon, and Changick Kim. “PG-RCNN: Semantic Surface Point Generation for 3D Object Detection,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, Oct. 02 - 06, 2023. (* These two authors contributed equally)
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, and Changick Kim
Adversarial attack
Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, and Changick Kim. “Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, Oct. 02 - 06, 2023.
Audio-Visual Glance Network for Efficient Video Recognition
Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, and Changick Kim
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
H. Kim*, Youngjun Kwak*, M. Jung, J. Shin, Y. Kim, and Changick Kim (* These two authors contributed equally)