Seong-Heum Kim

According to our database, Seong-Heum Kim authored at least 9 papers between 2016 and 2023.

Collaborative distances:

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

2023

Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration.

Deepak Ghimire, Kilho Lee, Seong-Heum Kim

Image Vis. Comput., August, 2023

RNN-CNN Based Cancer Prediction Model for Gene Expression.

Tanima Thakur, Isha Batra, Arun Malik, Deepak Ghimire, Seong-Heum Kim, A. S. M. Sanwar Hosen

IEEE Access, 2023

A Review on the Detection Techniques of Polycystic Ovary Syndrome Using Machine Learning.

Samia Ahmed, Md. Sazzadur Rahman, Ismate Jahan, M. Shamim Kaiser, A. S. M. Sanwar Hosen, Deepak Ghimire, Seong-Heum Kim

IEEE Access, 2023

2020

Salient View Selection for Visual Recognition of Industrial Components.

Seong-Heum Kim, Gyeongmin Choe, Min-Gyu Park, In So Kweon

IEEE Robotics Autom. Lett., 2020

Category-specific upright orientation estimation for 3D model classification and retrieval.

Seong-Heum Kim, Youngbae Hwang, In So Kweon

Image Vis. Comput., 2020

2018

RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing.

Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon

IEEE Robotics Autom. Lett., 2018

2017

Category-Specific Salient View Selection via Deep Convolutional Neural Networks.

Seong-Heum Kim, Yu-Wing Tai, Joon-Young Lee, Jaesik Park, In So Kweon

Comput. Graph. Forum, 2017

Deep representation of industrial components using simulated images.

Seong-Heum Kim, Gyeongmin Choe, Byungtae Ahn, In-So Kweon

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Multi-View Object Extraction With Fractional Boundaries.

Seong-Heum Kim, Yu-Wing Tai, Jaesik Park, In So Kweon

IEEE Trans. Image Process., 2016