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