Mohammad Azam Khan

According to our database, Mohammad Azam Khan authored at least 14 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Finding the target customers through new approach in Analytic Hierarchy Process (AHP) using Big 5 personality traits.

Saurav Saraswat, V. Sharma, Mohammad Azam Khan

Int. J. Syst. Assur. Eng. Manag., June, 2023

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization.

Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Mining Multi-Label Samples from Single Positive Labels.

Youngin Cho, Daejin Kim, Mohammad Azam Khan

CoRR, 2022

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting.

Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mining Multi-Label Samples from Single Positive Labels.

Youngin Cho, Daejin Kim, Mohammad Azam Khan, Jaegul Choo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction.

Daejin Kim, Mohammad Azam Khan, Jaegul Choo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.

Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

Intelligent fault detection using raw vibration signals via dilated convolutional neural networks.

Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo

J. Supercomput., 2020

Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.

Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, Seok Jin Hong

Neural Networks, 2020

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.

Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo

CoRR, 2020

Towards Lightweight Lane Detection by Optimizing Spatial Embedding.

Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo

CoRR, 2020

2018

Intelligent Fault Detection via Dilated Convolutional Neural Networks.

Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2002

Simulation and Performance Analysis of MPLS Networks.

Min Song, Mansoor Alam, Mohammad Azam Khan

Proceedings of the 15th International Conference on Computer Applications in Industry and Engineering, 2002