Arulmurugan Ambikapathi

16 papers A 2B 2Misc 3Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion.
IEEE Trans. Image Process.
Duo Peng, Qiuhong Ke, Arulmurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu
2023 — conf
Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks.
VTC2023-Spring
Pradeep Chennakesavula, Jen-Ming Wu, Arulmurugan Ambikapathi
2022 J jnl
Classify and generate: Using classification latent space representations for image generations.
Neurocomputing
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2022 J jnl
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data.
CoRR
Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy
2022 Misc conf
Investigating Robustness of Biological vs. Backprop Based Learning.
ICASSP
Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
2022 A conf
Knowledge Capture and Replay for Continual Learning.
WACV
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2022 Misc conf
Online Continual Learning Using Enhanced Random Vector Functional Link Networks.
ICASSP
Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy
2021 A conf
H-Stegonet: A Hybrid Deep Learning Framework for Robust Steganalysis.
ICME
Soumik Mondal, Sze Ling Yeo, Arulmurugan Ambikapathi
2021 Misc conf
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning.
ICASSP
Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy
2021 B conf
Task-Agnostic Continual Learning Using Base-Child Classifiers.
ICIP
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
2020 J jnl
Classification Representations Can be Reused for Downstream Generations.
CoRR
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2020 B conf
Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement.
ICIP
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Ivan Ho Mien, Arulmurugan Ambikapathi
2020 J jnl
Knowledge Capture and Replay for Continual Learning.
CoRR
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2020 J jnl
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation.
Appl. Soft Comput.
Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman
2019 — conf
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.
ITSC
Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng
2019 J jnl
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.
CoRR
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar