15 citations · 16 across the 8 of their papers we have counts for
8 papers
CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification
Muthu Subash Kavitha, Anas Zafar, Amgad Muneer +1
Clinical deployment of chest radiograph classifiers requires models that can be updated as new datasets become available without retraining on previously observed data or degrading…
iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models
Meghana Sunil, Manikandarajan Venmathimaran, Muthu Subash Kavitha
Recent work shows that large multimodal models (LMMs) can self-improve from unlabeled data via self-play and intrinsic feedback. Yet existing self-evolving frameworks mainly reward…
TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration
Shravan Venkatraman, Rakesh Raj Madavan, Pavan Kumar S +1
Underwater image restoration is essential for marine applications ranging from ecological monitoring to archaeological surveys, but effectively addressing the complex and spatially…
Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology
Shravan Venkatraman, Muthu Subash Kavitha, Joe Dhanith P R +2
Histopathology image segmentation is essential for delineating tissue structures in skin cancer diagnostics, but modeling spatial context and inter-tissue relationships remains a c…
Attention-effective multiple instance learning on weakly stem cell colony segmentation
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan +1
The detection of induced pluripotent stem cell (iPSC) colonies often needs the precise extraction of the colony features. However, existing computerized systems relied on segmentat…
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN
Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
3D Convolutional Neural Network (3D CNN) captures spatial and temporal information on 3D data such as video sequences. However, due to the convolution and pooling mechanism, the in…
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
Shah B. Shrey, Lukman Hakim, Muthusubash Kavitha +2
Lung cancer is one of the most deadly diseases in the world. Detecting such tumors at an early stage can be a tedious task. Existing deep learning architecture for lung nodule iden…
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image
Lukman Hakim, Novanto Yudistira, Muthusubash Kavitha +1
The detection of retinal blood vessels, especially the changes of small vessel condition is the most important indicator to identify the vascular network of the human body. Existin…