| 2026 | WACV | A Fast, Simple, and Flexible Scale Informative Feature Transform Module for Arbitrary Scale Image Super-Resolution. | Aupendu Kar, Prabir Kumar Biswas |
| 2025 | ICIP | Towards Test Time Adaptation in Low Dose Computed Tomography Denoising Via Bias Modulation. | Sutanu Bera, Krishnendu Ghosh, Prabir Kumar Biswas |
| 2025 | WACV | 3D Shape Completion using Multi-resolution Spectral Encoding. | Pallabjyoti Deka, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas |
| 2023 | AAAI | Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). | Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2023 | ICDAR | TBM-GAN: Synthetic Document Generation with Degraded Background. | Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2023 | MICCAI | Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising. | Sutanu Bera, Prabir Kumar Biswas |
| 2023 | MICCAI | Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection. | Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal, Prabir Kumar Biswas |
| 2023 | MICCAI | Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization. | Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas |
| 2023 | WACV | Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence. | Sutanu Bera, Prabir Kumar Biswas |
| 2022 | ICIP | Gated Convolutional Network for Metal Artifact Reduction in Computed Tomography Images. | Sutanu Bera, Prabir Kumar Biswas |
| 2022 | ICIP | Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion. | Krishnendu Ghosh, Aupendu Kar, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas |
| 2022 | ICIP | Sub-Aperture Feature Adaptation in Single Image Super-Resolution Model for Light Field Imaging. | Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2022 | MICCAI | Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing. | Sutanu Bera, Prabir Kumar Biswas |
| 2021 | CVPR | Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network. | Aupendu Kar, Prabir Kumar Biswas |
| 2021 | CVPR | Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model. | Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas |
| 2021 | ICDAR | Detection and Localisation of Struck-Out-Strokes in Handwritten Manuscripts. | Arnab Poddar, Akash Chakraborty, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2020 | CVPR | Prior Guided GAN Based Semantic Inpainting. | Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas |
| 2020 | ICIP | Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data. | Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra |
| 2020 | ICIP | Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach. | Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas |
| 2019 | ICIP | Faster Unsupervised Semantic Inpainting: A GAN Based Approach. | Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas |
| 2019 | IGARSS | Unsupervised Categorization of Forest-Cover Using Multi-Spectral and Hybrid Polarimetric Sar Images. | Shashaank M. Aswatha, Rajeswari Mahapatra, Jayanta Mukhopadhyay, Prabir Kumar Biswas, Subhas Aikat, Arundhati Misra |
| 2019 | WACV | Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. | Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra |
| 2017 | CVPR | Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. | Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra |
| 2016 | ICPR | Rate distortion optimization using SSIM for 3D video coding. | Harshalatha Y, Prabir Kumar Biswas |
| 2015 | VCIP | Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model. | Rajlaxmi Chouhan, Prabir Kumar Biswas |
| 2014 | ACCV | A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting. | Avisek Lahiri, Prabir Kumar Biswas |
| 2014 | ICIP | Image enhancement and dynamic range compression using novel intensity-specific stochastic resonance-based parametric image enhancement model. | Rajlaxmi Chouhan, Prabir Kumar Biswas |
| 2012 | ICIP | Internal noise-induced contrast enhancement of dark images. | Rajib Kumar Jha, Rajlaxmi Chouhan, Prabir Kumar Biswas, Kiyoharu Aizawa |
| 2012 | ISDA | Image denoising using dynamic stochastic resonance in wavelet domain. | Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas |
| 2012 | PCS | Fast camera motion estimation using discrete wavelet transform on block motion vectors. | Manish Okade, Prabir Kumar Biswas |
| 2009 | ICIP | Transcoding in the block DCT space. | Kapinaiah Viswanath, Jayanta Mukhopadhyay, Prabir Kumar Biswas |
| 2008 | SNPD | Efficient Object Recognition Using Parametric Eigenspace under Influence of Noise and Occlusion. | Pravinkumar S. Revankar, Prabir Kumar Biswas, Sonali N. Deshpande |
| 2002 | ICARCV | Dimensionality reduction of tree structured wavelet transform texture features for content based image retrieval. | Manesh Kokare, Biswanath N. Chatterji, Prabir Kumar Biswas |