112 citations · 279 across the 17 of their papers we have counts for
17 papers
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References
Ming-Feng Li, Xin Yang, Fu-En Wang +5
6D object pose estimation has shown strong generalizability to novel objects. However, existing methods often require either a complete, well-reconstructed 3D model or numerous ref…
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
Hritam Basak, Zhaozheng Yin
Domain Adaptation (DA) and Semi-supervised Learning (SSL) converge in Semi-supervised Domain Adaptation (SSDA), where the objective is to transfer knowledge from a source domain to…
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors
Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka +6
3D object generation from a single image involves estimating the full 3D geometry and texture of unseen views from an unposed RGB image captured in the wild. Accurately reconstruct…
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning
Hritam Basak, Zhaozheng Yin
Although unsupervised domain adaptation (UDA) is a promising direction to alleviate domain shift, they fall short of their supervised counterparts. In this work, we investigate rel…
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection
Rukhshanda Hussain, Hritam Basak
Glaucoma is a chronic visual disease that may cause permanent irreversible blindness. Measurement of the cup-to-disc ratio (CDR) plays a pivotal role in the detection of glaucoma i…
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu +2
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the e…
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
Hritam Basak, Sagnik Ghosal, Ram Sarkar
Due to the imbalanced and limited data, semi-supervised medical image segmentation methods often fail to produce superior performance for some specific tailed classes. Inadequate t…
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Hritam Basak, Rohit Kundu, Ram Sarkar
Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis. Sk…
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation
Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain +1
The scarcity of pixel-level annotation is a prevalent problem in medical image segmentation tasks. In this paper, we introduce a novel regularization strategy involving interpolati…
SVM and ANN based Classification of EMG signals by using PCA and LDA
Hritam Basak, Alik Roy, Jeet Bandhu Lahiri +2
In recent decades, biomedical signals have been used for communication in Human-Computer Interfaces (HCI) for medical applications; an instance of these signals are the myoelectric…
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification
Rohit Kundu, Hritam Basak, Akhil Koilada +3
Cervical cancer is the fourth most common category of cancer, affecting more than 500,000 women annually, owing to the slow detection procedure. Early diagnosis can help in treatin…
Testable Designs of Toffoli Fredkin Reversible Circuits
Hari Mohan Gaur, Ashutosh Kumar Singh, Umesh Ghanekar
Loss of every bit in traditional logic circuits involves dissipation of power in the form of heat that evolve to the environment. Reversible logic is one of the alternatives that h…
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection
Hritam Basak, Mayukhmali Das, Susmita Modak
Swarm optimization algorithms are widely used for feature selection before data mining and machine learning applications. The metaheuristic nature-inspired feature selection approa…
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
Hritam Basak, Rohit Kundu, Sukanta Chakraborty +1
Cervical cancer is one of the most deadly and common diseases among women worldwide. It is completely curable if diagnosed in an early stage, but the tedious and costly detection p…
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
Hritam Basak, Rukhshanda Hussain, Ajay Rana
The rapid increment of morbidity of brain stroke in the last few years have been a driving force towards fast and accurate segmentation of stroke lesions from brain MRI images. Wit…
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection
Soham Chattopadhyay, Arijit Dey, Hritam Basak
Emotion recognition from audio signals has been regarded as a challenging task in signal processing as it can be considered as a collection of static and dynamic classification tas…
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation
Soham Chattopadhyay, Hritam Basak
Despite the growing success of Convolution neural networks (CNN) in the recent past in the task of scene segmentation, the standard models lack some of the important features that…