Publications

2025

1. FRAUD-Net: Fraud News Detection using Sample Uncertainty & Domain Aware Generalized Network, D. Patel, V. Verma, S. K. Tah, S. Biswas, S. Biswas; WACV 2025.

2. Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection? A. Bhattacharya, D. Brahma, S. N. Mahadev, A. Asati, V. Verma, S. Biswas, WACV 2025.

3. TACLE: Task and Class-Aware Exemplar-Free Semi-Supervised Class Incremental Learning. J. Kalla, R. Kumar, S. Biswas, WACV 2025.

4. GeNGuide: Generalized Neighbour Guidance Framework for Noisy Class Incremental Learning, A. Kumar, J. Kalla, S. Biswas, IJCNN 2025.

2024

1.  Aditya C, M. Sreenivas, S. Biswas, PhISH-Net: Physics Inspired System for High Resolution Underwater Image Enhancement, WACV 2024.

2. A. Banerjee, L. S. Kallooriyakath, S. Biswas, AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery, WACV 2024.

3. J. Kalla, S. Biswas,Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning, WACV 2024. (Oral)

4. M. Sreenivas, G. Chakrabarty, S. Biswas. pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation, WACV 2024.

5. J. Kalla, P. Punia, T. Dutta, S. Biswas: Generalized semi-supervised class incremental learning in presence of outliers, Multimedia Tools and Applications, 2024

6. Devank, J. Kalla, S. Biswas, CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News Detection. ACCV 2024

7. J. Kalla, S. Biswas: AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning, BMVC 2024

2023

1. G. Chakrabarty, M. Sreenivas, S, Biswas, SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation, TMLR 2023.

2. S. Roy, S. Mitra, S. Biswas, R. SoundararajanTest Time Adaptation for Blind Image Quality Assessment, ICCV 2023

3. G. Chakrabarty, M. Sreenivas, S, Biswas,, A Simple Signal for Domain Shift, ICCVW 2023, ICLRW 2023.

4. M Sreenivas, S Biswas, Similar Class Style Augmentation for Efficient Cross-Domain Few-Shot Learning, CVPRW, 2023.

5. A Singh, M Sreenivas, S Biswas, JumpStyle: A framework for data-efficient online adaptation, ICLRW, 2023.

2022

1.  J. Kalla, S. Biswas. S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning. ECCV 2022.

2. K. J. Joseph, S. Paul, P. Rai, S. Biswas, G. Aggarwal, V. Balasubramanian. Novel Class Discovery without Forgetting, ECCV 2022.

3. B. Mondal, S. Biswas. SEIC: Semantic Embedding with Intermediate Classes for Zero-Shot Domain Generalization, ACCV 2022.

4. A. Ahmad, T. Dutta, S. Biswas. Handling Class-Imbalance for Improved Zero-Shot Domain Generalization", BMVC 2022.

5. M. Sreenivas, S. Takamuku, S. Biswas, A. Chepuri, B. Vengatesan, N. Natori. Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion, ECCV Workshop, 2022.

6. K. J. Joseph, S. Paul, G. Aggarwal, S. Biswas, P. Rai, K. Han, V. N. Balasubramanian, Spacing Loss for Discovering Novel Categories. CVPR Workshops (Best Paper Runner-Up Award), 2022.

7. V. Parekh, S. Mathur, S. Biswas, K. Shaik. VPER: Visual Product Entity Recognition for Fashion-wear, CODS-COMAD 2022.

8. T. Chowdhury, S. Chanda, S. Bhattacharya, S. Biswas, U. Pal. Contact-Less Heart Rate Detection in Low-Light Videos, Asian Conference on Computer Vision (ACPR), 2022.

9. J. Kalla, S. Biswas. Data-Efficient Class-Incremental Learning. AIMLSystems - Doctoral Symposium, (Best Doctoral Symposium Paper), 2022

2021

1.  T. Dutta, A. Singh, S. Biswas. StyleGuide: Zero-Shot Sketch-based Image Retrieval Using Style-Guided Image Generation. IEEE Transactions on Multimedia (TMM), 2021  

2. A. Pambala, T. Dutta, S. Biswas. SML: Semantic meta-learning for few-shot semantic segmentation. Pattern Recognition Letters, 2021.

3. S. Paul, T. Dutta, S. Biswas. Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains, ICCV 2021.

4. A. Singh, N. Doraiswamy, S. Takamuku, M. Bhalerao, T. Dutta, S. Biswas,  A. Chepuri, B. Vengatesan, N. Natori. Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics. CVPR Workshops 2021.

5.  V. Parekh, K. Shaik, S. Biswas,  M. Chelliah. Fine-Grained Visual Attribute Extraction From Fashion Wear. CVPR Workshops 2021.

2020

1. D. Mandal, P. Rao, S. Biswas. Semi-Supervised Cross-Modal Retrieval with Label Prediction. IEEE Transactions on Multimedia (TMM), 2020.

2. B. V. Somasundaran, R. Soundararajan, S. Biswas. Robust image retrieval by cascading a deep quality assessment network. Signal Processing: Image Communication (SPIC), 2020.

3. T. Dutta, A. Singh, S. Biswas.  Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR, European Conference on Computer Vision (ECCV), 2020. 

4. D. Mandal, S. Biswas. Cross-Modal Retrieval with Noisy Labels. International Conference on Image Processing (ICIP), 2020. 

5. D. Mandal, P. Rao, S. Biswas. Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval. International Conference on Image Processing (ICIP), 2020. 

6.  S. Bhattacharya, D. Mandal, S. Biswas. Multi-class Novelty Detection Using Mix-up Technique. IEEE Workshop on the Applications of Computer Vision (WACV), 2020. 

7. A. Pambala, T. Dutta, S. Biswas. Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning. IEEE Workshop on the Applications of Computer Vision (WACV), 2020. 

8. D. Mandal, S. Bharadwaj, S. Biswas. A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels. IEEE Workshop on the Applications of Computer Vision (WACV), 2020. 

9. T. Dutta, S. Biswas. Style Augmented Sketch based Image Retrieval. IEEE Workshop on the Applications of Computer Vision (WACV), 2020.

2019

1.   T. Dutta, S. Biswas. Generalized Zero-Shot Cross-Modal Retrieval. IEEE Transactions on Image Processing (TIP), 2019. 

2.   T. Dutta, S. Biswas. Cross-modal Retrieval in Challenging Scenarios using Attributes. Pattern Recognition Letters (PRL), 2019. 

3.   D. Mandal, K. N. Chaudhury, S. Biswas. Generalized Semantic Preserving Hashing for Cross-Modal Retrieval. IEEE Transactions on Image Processing (TIP), 2019. 

4.   S. P. Mudunuri, S. Venkataramanan, S. Biswas. Dictionary Alignment with Re-ranking for Low-resolution NIR-VIS Face Recognition. IEEE Transactions on Information Forensics and Security (TIFS), 2019. 

5.   R. Soundararajan, S. Biswas. Machine vision quality assessment for robust face detection. Elsevier Signal Processing: Image Communication (SPIC), 2019. 

6.  T. Dutta, S. Biswas. Style-Guided Zero-Shot Sketch-based Image Retrieval. British Machine Vision Conference (BMVC), 2019. [pdf]

7.   S. Bhattacharjee, S. P. Mudunuri, S. Biswas. Do I Know You? A Two-Stage Framework For Novelty Detection. IEEE International Conference on Image Processing (ICIP), 2019.

8.   S. Bhattacharjee, D. Mandal, S. Biswas. Autoencoder Based Novelty Detection For Generalized Zero Shot Learning'. IEEE International Conference on Image Processing (ICIP), 2019.

2018

1.   Y. Annadani, S. Biswas. Preserving Semantic Relations for Zero-Shot Learning. IEEE Computer Vision and Pattern Recognition (CVPR), 2018. 

2.   S. P. Mudunuri, S. Sanyal, S. Biswas. GenLR-Net: Deep framework for very low resolution face and object recognition with generalization to unseen categories. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Biometrics, 2018.

3.   D. Mandal, Y. Annadani, S. Biswas. GrowBit: Incremental Hashing for Cross-Modal Retrieval. Asian Conference on Computer Vision (ACCV), 2018. 

4.   S. P. Mudunuri, S. Biswas. Coarse To Fine Training for Low-Resolution Heterogeneous Face Recognition. IEEE International Conference on Image Processing (ICIP), 2018. 

5.   B. V. Somasundaran, R. Soundararajan, S. Biswas. Image Denoising for Image Retrieval by Cascading a Deep Quality Assessment Network. IEEE International Conference on Image Processing (ICIP), 2018. 

2017

1.   N. Das, D. Mandal, S. Biswas. Simultaneous Semi-Coupled Dictionary Learning for Matching in Canonical Space. IEEE Transactions on Image Processing (TIP), 2017. 

2.   A. Mitra, S. Biswas, C. Bhattacharyya. Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. 

3.   S. Sanyal, S. P. Mudunuri, S. Biswas. Discriminative Pose-Free Descriptors for Face and Object Matching. Pattern Recognition, 2017.

4.   D. Mandal, S. Biswas. Query Specific Re-ranking for Improved Cross-Modal Retrieval. Pattern Recognition Letters (PRL), 2017.

5. D. Mandal, K. N. Chaudhury, S. Biswas. Generalized Semantic Preserving Hashing for n-Label Cross-Modal Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 

6.   S. P. Mudunuri, S. Biswas. Dictionary Alignment for Low-Resolution and Heterogeneous Face Recognition. IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

7.   S. Sanyal, D. Mandal, S. Biswas. Aligned Discriminative Pose Robust Descriptors for Face and Object Recognition. IEEE International Conference on Image Processing (ICIP), 2017. 

8.   D. Mandal, S. Biswas. Label Consistent Matrix Factorization Based Hashing for Cross-Modal Retrieval. IEEE International Conference on Image Processing (ICIP), 2017. 

9.   S. P. Mudunuri, S. Venkataramanan, S. Biswas. Improved low resolution face recognition using re-ranking. National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2017. 

2016

1.   D. Mandal, S. Biswas. Generalized Coupled Dictionary Learning Approach with Applications to Cross-modal Matching. IEEE Transactions on Image Processing (TIP), 2016. 

2.   S. Biswas, V. Gupta. Abnormality Detection in Crowd Videos by Tracking Sparse Components. Machine Vision and Applications (MVA), 2016. 

3.   S. P. Mudunuri, S. Biswas. A coupled discriminative dictionary and transformation learning approach with applications to cross domain matching. Pattern Recognition Letters (PRL), 2016. 

4.   S. P. Mudunuri, S. Biswas. Low Resolution Face Recognition Across Variations in Pose and Illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016. 

5.  N. Das, D. Mandal, S. Biswas. Simultaneous Semi-Coupled Dictionary Learning for Matching RGBD data. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Biometrics, 2016. 

6.   H. Bharadwaj, S. Biswas, K.R. Ramakrishnan. A large scale dataset for classification of vehicles in urban traffic scenes. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016. 

7.   V. Jain, Z. Sasindran, A. Rajagopal, S. Biswas, H. Bharadwaj, K.R. Ramakrishnan. Deep automatic license plate recognition system. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016. 

2015

1.   S. Sanyal, S. P. Mudunuri, S. Biswas. Discriminative Pose-Free Descriptors for Face and Object Matching. International Conference on Computer Vision (ICCV), 2015. 

2.   A. Mitra, C. Bhattacharyya, S. Biswas. EntScene: Nonparametric Bayesian Temporal Segmentation of Videos aimed at Entity-driven Scene Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2015. 

3.   A. Mitra, S. Biswas, C. Bhattacharyya. Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. SIAM Conference on Data Mining (SDM), 2015. 

4.   D. Mali, S. Biswas. Cross-Modal Attribute Based Facial Image Retrieval. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2015. 

5.   S. Biswas. A Novel Stereo Matching Approach For Pedestrian Re-identification. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2015. 

2014

1.   S. Biswas, F. Zhao, X. Li, R. Mullick and V. Vaidya. Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis. International Conference on Pattern Recognition (ICPR) (Oral), 2014. 

2.   Zhao, X. Li, S. Biswas, R. Mullick, P. R. S. Mendonca, V. Vaidya. Topological texture-based method for mass detection in breast ultrasound image. International Symposium on Biomedical Imaging (ISBI), 2014. 

3.   V. Gupta, S. Biswas. Crowd Abnormality Detection and Localization: A Matrix Decomposition Approach. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2014. 

2013

1.   S. Biswas, G. Aggarwal P. J. Flynn and K. W. Bowyer. Pose-Robust Recognition of Low-Resolution Face Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013. 

2.  S. Biswas, S. Khurram. Source Color Error Analysis for Robust Separation of Reection Components. IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 . 

2012

1.   J. Barr, K. W. Bowyer, P. J. Flynn and S. Biswas. Face Recognition from Video: A Review. International Journal of Pattern Recognition and Artifcial Intelligence (IJPRAI), 2012. 

2.   V. Patel, T. Wu, S. Biswas, P. J. Phillips and R. Chellappa. Dictionary-based Face Recognition Under Variable Lighting. IEEE Transactions on Information Forensics and Security (TIFS), 2012. 

3.   S. Biswas, K. W. Bowyer and P. J. Flynn. Multidimensional Scaling for Matching Low-resolution Face Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012. 

4. G. Aggarwal, S. Biswas, P. J. Flynn and K. W. Bowyer. A Sparse Representation Approach to Face Matching across Plastic Surgery. IEEE Workshop on the Applications of Computer Vision (WACV), 2012 . 

5.   G. Aggarwal, S. Biswas, P. J. Flynn and K. W. Bowyer. Predicting Good, Bad and Ugly Match Pairs. IEEE Workshop on the Applications of Computer Vision (WACV), 2012 . 

2011

1.   S. Biswas, G. Aggarwal and P. J. Flynn. Face Recognition in Low-Resolution Videos Using Learning-Based Likelihood Measurement Model. IEEE and IAPR International Joint Conference on Biometrics (IJCB), 2011. 

2.   J. Paone, S. Biswas, G. Aggarwal and P. J. Flynn. Difficult Imaging Covariates or Difficult Subjects? An Empirical Investigation IEEE and IAPR International Joint Conference on Biometrics (IJCB), 2011. 

3.   S. Biswas, G. Aggarwal and P. J. Flynn. Pose-Robust Recognition of Low-Resolution Face Images. IEEE Computer Vision and Pattern Recognition (CVPR), 2011 . 

4.   G. Aggarwal, S. Biswas, P. J. Flynn and K. W. Bowyer. Predicting Performance of Face Recognition Systems: An Image Characterization Approach. IEEE Workshop on Biometrics, CVPR, 2011 . 

5.   V. Patel, T. Wu, S. Biswas, P. J. Phillips and R. Chellappa. Illumination Robust Dictionary-based Face Recognition. International Conference on Image Processing (ICIP), 2011. 

6.   S. Biswas, K. W. Bowyer and P. J. Flynn. A study of face recognition of identical twins by humans. IEEE International Workshop on Information Forensics and Security (WIFS), 2011 . 

2010

1.   S. Biswas, G. Aggarwal and R. Chellappa. An Efficient and Robust Algorithm for Shape Indexing and Retrieval. IEEE Transactions on Multimedia (TMM), 2010. 

2.  S. Biswas and R. Chellappa. Pose-Robust Albedo Estimation from a Single Image. IEEE Computer Vision and Pattern Recognition (CVPR), 2010. 

3.   S. Biswas, K. W. Bowyer and P. J. Flynn. Multidimensional Scaling for Matching Low-resolution Facial Images. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010 . 

4.   P. Turaga, S. Biswas and R. Chellappa. Role of geometry for age estimation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010. 

2009

1.   N. Ramanathan, R. Chellappa and S. Biswas. Computational methods for modeling facial aging: A survey. Journal of Visual Languages and Computing (Special Issue on Advances in Multimodal Biometric Systems), 2009. 

2.   S. Biswas, G. Aggarwal and R. Chellappa. Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2009. 

2008

1.   S. Biswas, G. Aggarwal, N. Ramanathan and R. Chellappa. A Non-generative Approach for Face Recognition Across Aging. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2008 . 

2.   S. Biswas , N. K. Ratha, G. Aggarwal and J. Connell. Exploring Ridge Curvature for Fingerprint Indexing. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2008 . 

3.   M. K. Johnson, D. G. Stork, S. Biswas, Y. Furuichi. Inferring illumination direction estimated from disparate sources in paintings: An investigation into Jan Vermeer's Girl with a pearl earring. SPIE Electronic Imaging: Computer image analysis in the study of art, 2008 . 

2007 and Earlier

1.   S. Biswas, G. Aggarwal and R. Chellappa. Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery. IEEE International Conference on Computer Vision (ICCV), October, 2007.

2.   S. Biswas, G. Aggarwal and R. Chellappa. Efficient Indexing for Articulation Invariant Shape Matching and Retrieval. IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. 

3.   G. Aggarwal, S. Biswas and R. Chellappa. Symmetric Shapes are Hardly Ambiguous. IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. 

4.   S. Biswas, G. Aggarwal and R. Chellappa. Invariant Geometric Representation of 3D Point Clouds for Registration and Matching. International Conference on Image Processing (ICIP), October, 2006 . 

5. G. Aggarwal, S. Biswas and R. Chellappa. UMD Experiments with FRGC data. IEEE Workshop on Face Recognition Grand Challenge Experiments (CVPR), June, 2005 . 

6.  S. Biswas and K. Nandy. Application of Wavelets in Detection and Classification of Microcalcification in Digital Mammograms - Some Recent Advances. International Conference on Mathematical Biology, 2004 . 

Book Chapter

1.   S. Biswas and R. Chellappa. Face Recognition from Still Images and Video. Encyclopedia of Cryptography and Security, (Second Ed.) H.C.A. van Tilborg, S. Jajodia (Eds.), Springer 2010.