Arulmurugan Ambikapathi

According to our database, Arulmurugan Ambikapathi authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Unsupervised Domain Adaptation via Domain-Adaptive Diffusion.

Duo Peng, Qiuhong Ke, Arulmurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu

IEEE Trans. Image Process., 2024

2023

Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.

Pradeep Chennakesavula, Jen-Ming Wu, Arulmurugan Ambikapathi

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022

Classify and generate: Using classification latent space representations for image generations.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi

Neurocomputing, 2022

Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data.

Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy

CoRR, 2022

Knowledge Capture and Replay for Continual Learning.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi

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

Investigating Robustness of Biological vs. Backprop Based Learning.

Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

Online Continual Learning Using Enhanced Random Vector Functional Link Networks.

Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

H-Stegonet: A Hybrid Deep Learning Framework for Robust Steganalysis.

Soumik Mondal, Sze Ling Yeo, Arulmurugan Ambikapathi

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Task-Agnostic Continual Learning Using Base-Child Classifiers.

Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning.

Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Classification Representations Can be Reused for Downstream Generations.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi

CoRR, 2020

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation.

Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman

Appl. Soft Comput., 2020

Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement.

Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Ivan Ho Mien, Arulmurugan Ambikapathi

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.

Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019