RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation

Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee +1

The paper presents RRNet, a depth‑estimation network that uses repetition‑reduction blocks to cut memory usage, energy consumption, and inference time, achieving several‑fold impro…

Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification

Han S. Lee, Alex A. Agarwal, Junmo Kim

Deep Pyramidal Residual Networks

Dongyoon Han, Jiwhan Kim, Junmo Kim

Mimicking Ensemble Learning with Deep Branched Networks

Byungju Kim, Youngsoo Kim, Yeakang Lee +1

HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks

Minseok Park, Hanxiang Li, Junmo Kim

Less-forgetting Learning in Deep Neural Networks

Heechul Jung, Jeongwoo Ju, Minju Jung +1

Deep Saliency with Encoded Low level Distance Map and High Level Features

Gayoung Lee, Yu-Wing Tai, Junmo Kim

Deep Temporal Appearance-Geometry Network for Facial Expression Recognition

Heechul Jung, Sihaeng Lee, Sunjeong Park +3

Constructing Fast Network through Deconstruction of Convolution

Yunho Jeon, Junmo Kim

Learning Not to Learn: Training Deep Neural Networks with Biased Data

Byungju Kim, Hyunwoo Kim, Kyungsu Kim +2

Less-forgetful Learning for Domain Expansion in Deep Neural Networks

Heechul Jung, Jeongwoo Ju, Minju Jung +1

Active Convolution: Learning the Shape of Convolution for Image Classification

Yunho Jeon, Junmo Kim

Deep generative-contrastive networks for facial expression recognition

Youngsung Kim, ByungIn Yoo, Youngjun Kwak +2

Integrating Multiple Receptive Fields through Grouped Active Convolution

Yunho Jeon, Junmo Kim