Junghun Oh

According to our database, Junghun Oh authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning.

Junghun Oh, Sungyong Baik, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss.

Jaeha Kim, Junghun Oh, Kyoung Mu Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Batch Normalization Tells You Which Filter is Important.

Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks.

Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Attentive Fine-Grained Structured Sparsity for Image Restoration.

Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, Kyoung Mu Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks.

Cheeun Hong, Heewon Kim, Junghun Oh, Kyoung Mu Lee

CoRR, 2020