[New] We have a publication accepted for ICRA 2023.
"Lightweight Monocular Depth Estimation via Token-Sharing Transformer", Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
[New] We have a publication accepted for AAAI 2023.
"Frequency Selective Augmentation for Video Representation Learning", Jinhyung Kim, Taeoh Kim , Minho Shim, Dongyoon Han, Dongyoon Wee, and Junmo Kim
[New]We have a publication accepted for NeurIPSW 2022.
"Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning", Gyojin Han*, Jaehyun Choi*, Hyeong Gwon Hong, and Junmo Kim (equally contributed by the authors*)
[New] We have a publication accepted for WACV 2023.
"I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images", Jiwan Hur*, Jae Young Lee*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)
[New] We have a publication accepted for NeurIPS 2022.
"UniCLIP: Unified Framework for Contrastive Language-Image Pre-training", Janghyeon Lee*, Jongsuk Kim*, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee and Junmo Kim (equally contributed by the authors*)
[New] We have a publication accepted for ACSAC 2022.
"Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint", Seung Ho Na, Hyeong Gwon Hong, Junmo Kim and Seungwon Shin
[New] We have a publication accepted for ECCV 2022.
"DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning", Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
[New] We have a publication accepted for ECCV 2022.
"On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network", Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim