1 code implementation • CVPR 2019 • Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
The better accuracy and complexity compromise, as well as the extremely fast speed of our method makes it suitable for neural network compression.
no code implementations • 28 Jun 2018 • Hyeji Kim, Chong-Min Kyung
In this paper, we define rank selection as a combinatorial optimization problem and propose a methodology to minimize network complexity while maintaining the desired accuracy.
Combinatorial Optimization Vocal Bursts Intensity Prediction
no code implementations • 16 Jun 2020 • Muhammad Suhaib Tanveer, Muhammad Umar Karim Khan, Chong-Min Kyung
Our method offers a good trade-off between the number of parameters and classification accuracy.
Ranked #1 on Image Classification on Fashion-MNIST
no code implementations • 16 Jun 2020 • Muhammad Umar Karim Khan, Mishal Fatima, Chong-Min Kyung
With a single epoch of training, our method improves the AUC by 8. 03% compared to the convolutional LSTM-based approach.
no code implementations • 23 Jun 2020 • Saad Imran, Muhammad Umar Karim Khan, Sikander Bin Mukarram, Chong-Min Kyung
Small-baseline stereo pairs provide small depth range but handle occlusions well.
Monocular Depth Estimation Unsupervised Monocular Depth Estimation
no code implementations • CVPR 2022 • Donghun Kang, Hyeonjoong Jang, Jungeon Lee, Chong-Min Kyung, Min H. Kim
However, stereo matching performance on these image formats has been lower than the conventional stereo due to severe image distortion near pole regions.