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 (ITSC, 2019)

Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Ivan Ho Mien; Arulmurugan Ambikapathi (ICIP, 2020)

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. - Savitha Ramasamy; Arulmurugan Ambikapathi; Kanagasabai Rajaraman (Appl. Soft Comput., 2020)

Classification Representations Can be Reused for Downstream Generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (CoRR, 2020)

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. - Manas Gupta; Arulmurugan Ambikapathi; Savitha Ramasamy (ICASSP, 2021)

Task-Agnostic Continual Learning Using Base-Child Classifiers. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Qiao ZhongZheng; Ponnuthurai N. Suganthan; Savitha Ramasamy; Arulmurugan Ambikapathi (ICIP, 2021)

H-Stegonet: A Hybrid Deep Learning Framework for Robust Steganalysis. - Soumik Mondal; Sze Ling Yeo; Arulmurugan Ambikapathi (ICME, 2021)

Online Continual Learning Using Enhanced Random Vector Functional Link Networks. - Cheryl Sze Yin Wong; Guo Yang; Arulmurugan Ambikapathi; Savitha Ramasamy (ICASSP, 2022)

Investigating Robustness of Biological vs. Backprop Based Learning. - Yanpeng Zhou; Maosen Wang; Manas Gupta; Arulmurugan Ambikapathi; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2022)

Knowledge Capture and Replay for Continual Learning. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Haytham M. Fayek; Savitha Ramasamy; Arulmurugan Ambikapathi (WACV, 2022)

Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. - Theivendiram Pranavan; Terence Sim; Arulmurugan Ambikapathi; Savitha Ramasamy (CoRR, 2022)

Classify and generate: Using classification latent space representations for image generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (Neurocomputing, 2022)

Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks. - Pradeep Chennakesavula; Jen-Ming Wu; Arulmurugan Ambikapathi (VTC2023-Spring, 2023)

Unsupervised Domain Adaptation via Domain-Adaptive Diffusion. - Duo Peng; Qiuhong Ke; Arulmurugan Ambikapathi; Yasin Yazici; Yinjie Lei; Jun Liu 036 (IEEE Trans. Image Process., 2024)