Journal Publications

1. HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs, Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, International Journal of Computer Vision (IJCV-2019), 2019. [Impact Factor: 19.5 (2022), Q1 (SJR 2022)]

2. FALF ConvNets: Fatuous Auxiliary Loss based Filter-pruning for Efficient Deep CNNs, Pravendra Singh*, Vinay Sameer Raja Kadi*, Vinay P. Namboodiri, Image and Vision Computing (IVC-2019), 2019. [Impact Factor: 4.7 (2022), Q1 (SJR 2023)]

3. EDS Pooling Layer, Pravendra Singh, Prem Raj, Vinay P. Namboodiri, Image and Vision Computing (IVC-2020), 2020. [Impact Factor: 4.7 (2022), Q1 (SJR 2023)]

4. GIFSL - Grafting based Improved Few-Shot Learning, Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri, Image and Vision Computing (IVC-2020), 2020. [Impact Factor: 4.7 (2022), Q1 (SJR 2023)]

5. Acceleration of Deep Convolutional Neural Networks using Adaptive Filter Pruning, Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, IEEE Journal of Selected Topics in Signal Processing (JSTSP-2020), 2020. [Impact Factor: 7.695 (2021), Q1 (SJR 2021)]

6. Calibrating Feature Maps for Deep CNNs, Pravendra Singh*, Pratik Mazumder*, Mohammed Asad Karim*, Vinay P. Namboodiri, Neurocomputing (NEUCOM-2021), 2021. [Impact Factor: 6.0 (2022), Q1 (SJR 2022)]

7. Optimizing nonlinear activation function for convolutional neural networks, Munender Varshney, Pravendra Singh, Signal, Image and Video Processing (SIVP-2021), 2021. [Impact Factor: 2.3 (2022)]

8. Context Extraction Module for Deep Convolutional Neural Networks, Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri, Pattern Recognition (PR-2022), 2022. [Impact Factor: 8.518 (2021), Q1 (SJR 2021)]

9. Dual class representation learning for few-shot image classification, Pravendra Singh, Pratik Mazumder, Knowledge-Based Systems (KNOSYS-2022), 2022. [Impact Factor: 8.8 (2022), Q1 (SJR 2022)] 

10. On Restoration Of Degraded Fingerprints, Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra, Multimedia Tools and Applications (MTAP-2022), 2022. [Impact Factor: 3.6 (2022)] 

11. Protected Attribute Guided Representation Learning for Bias Mitigation in Limited Data, Pravendra Singh*, Pratik Mazumder*, Knowledge-Based Systems (KNOSYS-2022), 2022. [Impact Factor: 8.8 (2022), Q1 (SJR 2022)]

12. Few-Shot Image Classification with Composite Rotation based Self-Supervised Auxiliary Task, Pravendra Singh*, Pratik Mazumder*, Vinay P. Namboodiri, Neurocomputing (NEUCOM-2022), 2022. [Impact Factor: 6.0 (2022), Q1 (SJR 2022)]

13. Rectification-based Knowledge Retention for Task Incremental Learning, Pravendra Singh*, Pratik Mazumder*, Piyush Rai, Vinay P. Namboodiri, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI-2023), 2023. [Impact Factor: 24.314 (2021), Q1 (SJR 2021)]

14. Clustering Single-cell RNA Sequence Data using Information Maximized and Noise-Invariant Representations, Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh A P, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB-2023), 2023. [Impact Factor: 4.5 (2022)]

15. Leveraging Joint Incremental Learning Objective with Data Ensemble for Class Incremental Learning, Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh, Neural Networks (NEUNET-2023), 2023. [Impact Factor: 9.657 (2021), Q1 (SJR 2021)]

16. Mitigate Forgetting in Few-Shot Class-Incremental Learning Using Different Image Views, Pratik Mazumder*, Pravendra Singh*, Neural Networks (NEUNET-2023), 2023. [Impact Factor: 9.657 (2021), Q1 (SJR 2021)]

17. Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey, Pranav Singh Chib, Pravendra Singh, IEEE Transactions on Intelligent Vehicles (TIV-2023), 2023. [Impact Factor: 14 (2023), Q1 (SJR 2022)]

18. SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification, Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh, Biomedical Signal Processing and Control (BSPC-2023), 2023. [Impact Factor: 5.1 (2022), Q1 (SJR 2022)]

19. Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives, Suruchi Kumari, Pravendra Singh, Computers in Biology and Medicine (CBM-2023), 2023. [Impact Factor: 7.7 (2022), Q1 (SJR 2022)]

20. Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints, Pranav Singh Chib, Pravendra Singh, Knowledge-Based Systems (KNOSYS-2024), 2024. [Impact Factor: 8.8 (2022), Q1 (SJR 2022)]

21. Small and dim target detection in infrared imagery: A review, current techniques and future directions, Nikhil Kumar, Pravendra Singh, Neurocomputing (NEUCOM-2025), 2025. [Impact Factor: 6.5 (2024), Q1 (SJR 2024)]

22. A Generative Framework for Detection and Classification of Plant Leaf Disease Using Diffusion Network, Aryan Das, Rajul Mahto, Wentao Wang, Ali Jamali, Pravendra Singh, Swalpa Kumar Roy, Applied Soft Computing (ASOC-2025), 2025. [Impact Factor: 7.2  (2024), Q1 (SJR 2024)]

23. CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction in Multi-Agent Traffic Scenarios, Pranav Singh Chib, Pravendra Singh, Information Fusion (INFFUS-2025), 2025. [Impact Factor: 15.5 (2024), Q1 (SJR 2024)]

24. Multi-Scale Hypergraphs for Trajectory Imputation and Prediction in Real-World Scenarios, Pranav Singh Chib, Pravendra Singh, Expert Systems With Applications (ESWA-2025), 2025. [Impact Factor: 7.5 (2024), Q1 (SJR 2024)]

25. From Classical Image Fusion to Deep Representation Learning: A Survey of the Advances in Hyperspectral Image Pan-sharpening, Raj Kumar, Swalpa Kumar Roy, Gemine Vivone, Swagatam Das, Balasubramanian Raman, Pravendra Singh, Information Fusion (INFFUS-2025), 2025. [Impact Factor: 15.5 (2024), Q1 (SJR 2024)]

26. Learning with less: A survey of deep learning in medical imaging under varying supervision levels, Suruchi Kumari, Pravendra Singh, Artificial Intelligence in Medicine (AIIM-2026), 2026. [Impact Factor: 6.2 (2024), Q1 (SJR 2024)]

27. Leveraging Language Prior for Infrared Small Target Detection, Pranav Singh Chib, Pravendra Singh, Neurocomputing (NEUCOM-2026), 2026. [Impact Factor: 6.5 (2024), Q1 (SJR 2024)]

28. Integrating Orthogonal Supervision for Sparse Semi-Supervised 3D Medical Image Segmentation, Suruchi Kumari, Pravendra Singh, Neural Networks (NEUNET-2026), 2026. [Impact Factor: 6.3 (2025), Q1 (SJR 2025)] 

29. Dual-View Diffusion for Pedestrian Trajectory Imputation, Pranav Singh Chib, Pravendra Singh, Neural Networks (NEUNET-2026), 2026. [Impact Factor: 6.3 (2025), Q1 (SJR 2025)] 

30. HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models, Aryan Das, Tanishq Rachamalla, Pravendra Singh, Koushik Biswas, Vinay Kumar Verma, Salvador Garcia, Antonio Plaza, Swalpa Kumar Roy, IEEE Geoscience and Remote Sensing Magazine (GRSM -2026), 2026. [Impact Factor: 16.4 (2025), Q1 (SJR 2025)]

Conference Publications

1. Addressing Label Scarcity and Domain Shift in Medical Image Segmentation, Suruchi Kumari, Pravendra Singh, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-2025), Daejeon, Republic of Korea, 2025. [Core Rank: A (2023)] 

2. Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness, Suruchi Kumari, Harshdeep Singh, Pravendra Singh, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-2025), Daejeon, Republic of Korea, 2025. [Core Rank: A (2023)] 

3. LG-Traj: LLM Guided Pedestrian Trajectory Prediction, Pranav Singh Chib, Pravendra Singh, IEEE/CVF International Conference on Computer Vision - Workshop Proceedings (ICCV-W-2025), Honolulu, Hawaii, USA, 2025.

4. AutoConcept: Unsupervised Extraction of Constituent Concepts from Single Image, Pranav Singh Chib, Kirtankumar Vijaykumar Patel, Mudit Gupta, Pise Ashutosh Kalidas, Pravendra Singh, IEEE/CVF International Conference on Computer Vision - Workshop Proceedings (ICCV-W-2025), Honolulu, Hawaii, USA, 2025.

5. Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation, Suruchi Kumari, Pravendra Singh, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2025), Nashville, TN, USA, 2025. [Core Rank: A* (2023)] [Highlight Paper (Acceptance rate: 2.9%)]

6. Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation, Suruchi Kumari, Pravendra Singh, IEEE/CVF Conference on Computer Vision and Pattern Recognition - Workshop Proceedings (CVPR-W-2025), Nashville, TN, USA, 2025.

7. ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs, Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma, IEEE/CVF Conference on Computer Vision and Pattern Recognition - Workshop Proceedings (CVPR-W-2025), Nashville, TN, USA, 2025. 

8. A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images, Suruchi Kumari, Pravendra Singh, AAAI Conference on Artificial Intelligence (AAAI -2025), Pennsylvania, USA, 2025. [Core Rank: A* (2023)]

9. Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking, Pranav Singh Chib, Pravendra Singh, Conference on Neural Information Processing Systems (NeurIPS-2024), Vancouver, Canada, 2024. [Core Rank: A* (2023)]

10. STNet: Small Target Detection Network for IR Imagery, Nikhil Kumar, Pranav Singh Chib, Pravendra Singh, International Conference on Pattern Recognition (ICPR-2024), Kolkata, India, 2024.

11. Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction, Pranav Singh Chib, Pravendra Singh, Proceedings of the Forty-first International Conference on Machine Learning (ICML-2024), Vienna, Austria, 2024. [Core Rank: A* (2023)]

12. MS-TIP: Imputation Aware Pedestrian Trajectory Prediction, Pranav Singh Chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, Pravendra Singh, Proceedings of the Forty-first International Conference on Machine Learning (ICML-2024), Vienna, Austria, 2024. [Core Rank: A* (2023)]

13. MWIRSTD: A MWIR SMALL TARGET DETECTION DATASET, Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh, IEEE International Conference on Image Processing (ICIP-2024), Abu Dhabi, UAE, 2024. 

14. A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines, Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh, IEEE Conference on Global Communications (GLOBECOM-2023), Kuala Lumpur, Malaysia, 2023. 

15. Attaining Class-level Forgetting in Pretrained Model using Few Samples, Pravendra Singh*, Pratik Mazumder*, Mohammed Asad Karim*, European Conference on Computer Vision (ECCV-2022), Tel Aviv, Israel, 2022. [Core Rank: A* (2021)]

16. Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation, Pravendra Singh*, Pratik Mazumder*, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2022), Hawaii, USA, 2022. [Core Rank: A (2021)]

17. Knowledge Consolidation based Class Incremental Online Learning with Limited Data, Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai, International Joint Conference on Artificial Intelligence (IJCAI-2021), Virtual Conference, 2021. [Core Rank: A* (2021)]

18. Rectification-based Knowledge Retention for Continual Learning, Pravendra Singh*, Pratik Mazumder*, Piyush Rai, Vinay P. Namboodiri, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2021), Virtual Conference, 2021. [Core Rank: A* (2021)]

19. Few-Shot Lifelong Learning, Pravendra Singh*, Pratik Mazumder*, Piyush Rai, AAAI Conference on Artificial Intelligence (AAAI-2021), Virtual Conference, 2021. [Core Rank: A* (2021)]

20. Improving Few-Shot Learning using Composite Rotation based Auxiliary Task, Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2021), Hawaii, USA (shifted online), 2021. [Core Rank: A (2021)]

21. AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings, Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2021), Hawaii, USA (shifted online), 2021. [Core Rank: A (2021)]

22. RNNP: A Robust Few-Shot Learning Approach, Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2021), Hawaii, USA (shifted online), 2021. [Core Rank: A (2021)]

23. Calibrating CNNs for Lifelong Learning, Pravendra Singh*,  Vinay Kumar Verma*, Pratik Mazumder, Lawrence Carin, Piyush Rai, Conference on Neural Information Processing Systems (NeurIPS-2020), Virtual Conference, 2020. [Core Rank: A* (2021)]

24. Minimizing Supervision in Multi-label Categorization, Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri, IEEE/CVF Conference on Computer Vision and Pattern Recognition - Workshop Proceedings (CVPR-W-2020), Seattle, Washington, USA, 2020. 

25. CPWC: Contextual Point Wise Convolution for Object Recognition, Pravendra Singh*, Pratik Mazumder*, Vinay P. Namboodiri, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2020), Barcelona, Spain, 2020.

26. SkipConv: Skip Convolution for Computationally Efficient Deep CNNs, Pravendra Singh,  Vinay P. Namboodiri, IEEE International Joint Conference on Neural Networks (IJCNN-2020), Glasgow, Scotland, UK, 2020. [Core Rank: A (2020)]

27. Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution, Pravendra Singh,  Pratik Mazumder, Vinay P. Namboodiri, IEEE International Joint Conference on Neural Networks (IJCNN-2020), Glasgow, Scotland, UK, 2020. [Core Rank: A (2020)]

28. Accuracy Booster: Performance Boosting using Feature Map Re-calibration, Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2020), Colorado, USA, 2020. [Core Rank: A (2021)]

29. Cooperative Initialization based Deep Neural Network Training, Pravendra Singh, Munender Kumar, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2020), Colorado, USA, 2020. [Core Rank: A (2021)]

30. Leveraging Filter Correlations for Deep Model Compression, Pravendra Singh*, Vinay Kumar Verma*, Piyush Rai, Vinay P. Namboodiri, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2020), Colorado, USA, 2020. [Core Rank: A (2021)]

31. A "Network Pruning Network" Approach to Deep Model Compression, Vinay Kumar Verma, Pravendra Singh,  Vinay P. Namboodiri, Piyush Rai, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2020), Colorado, USA, 2020. [Core Rank: A (2021)]

32. Stability Based Filter Pruning for Accelerating Deep CNNs, Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri, IEEE Winter Conference on Applications of Computer Vision (WACV-2019), Hawaii, USA, 2019. [Core Rank: A (2021)]

33. Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector, Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri, IEEE Winter Conference on Applications of Computer Vision (WACV-2019), Hawaii, USA, 2019. [Core Rank: A (2021)]

34. Play and Prune: Adaptive Filter Pruning for Deep Model Compression, Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, International Joint Conference on Artificial Intelligence (IJCAI-2019), Macao, China, 2019. [Core Rank: A* (2021)]

35. HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs, Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2019), Long Beach, USA, 2019. [Core Rank: A* (2021)]