F-UNet: A Modified U-Net Architecture for Segmentation of Stroke Lesion. - Hritam Basak; Ajay Rana (CVIP (1), 2020)

Single Image Super-Resolution using Residual Channel Attention Network. - Hritam Basak; Rohit Kundu; Anish Agarwal; Shreya Giri (ICIIS, 2020)

Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation. - Soham Chattopadhyay; Hritam Basak (CoRR, 2020)

Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection. - Soham Chattopadhyay; Arijit Dey; Hritam Basak (CoRR, 2020)

RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection. - Hritam Basak; Mayukhmali Das; Susmita Modak (EUROCON, 2021)

Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection. - Hritam Basak; Rohit Kundu; Sukanta Chakraborty; Nibaran Das (CoRR, 2021)

Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification. - Rohit Kundu; Hritam Basak; Akhil Koilada; Soham Chattopadhyay; Sukanta Chakraborty; Nibaran Das (CoRR, 2021)

SVM and ANN based Classification of EMG signals by using PCA and LDA. - Hritam Basak; Alik Roy; Jeet Bandhu Lahiri; Sayantan Bose; Soumyadeep Patra (CoRR, 2021)

DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation. - Hritam Basak; Rukhshanda Hussain; Ajay Rana (SN Comput. Sci., 2021)

Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection. - Hritam Basak; Rohit Kundu; Sukanta Chakraborty; Nibaran Das (SN Comput. Sci., 2021)

An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation. - Hritam Basak; Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee (ISBI, 2022)

Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. - Hritam Basak; Sagnik Ghosal; Ram Sarkar (MICCAI (8), 2022)

An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation. - Hritam Basak; Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee (CoRR, 2022)

MFSNet: A multi focus segmentation network for skin lesion segmentation. - Hritam Basak; Rohit Kundu; Ram Sarkar (Pattern Recognit., 2022)

Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Hritam Basak; Zhaozheng Yin (CVPR, 2023)

Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation. - Hritam Basak; Soumitri Chattopadhyay; Rohit Kundu; Sayan Nag; Rammohan Mallipeddi (ICASSP, 2023)

Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning. - Hritam Basak; Zhaozheng Yin (MICCAI (4), 2023)

UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection. - Rukhshanda Hussain; Hritam Basak (CoRR, 2023)

Forget More to Learn More: Domain-Specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation. - Hritam Basak; Zhaozheng Yin (ECCV (38), 2024)

Quest for Clone: Test-Time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space. - Hritam Basak; Zhaozheng Yin (MICCAI (8), 2024)

Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors. - Hritam Basak; Hadi Tabatabaee; Shreekant Gayaka; Ming-Feng Li; Xin Yang; Cheng-Hao Kuo; Arnie Sen; Min Sun 001; Zhaozheng Yin (CoRR, 2024)

SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation. - Hritam Basak; Zhaozheng Yin (CVPR, 2025)

UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References. - Ming-Feng Li; Xin Yang; Fu-En Wang; Hritam Basak; Yuyin Sun; Shreekant Gayaka; Min Sun 001; Cheng-Hao Kuo (CVPR, 2025)