Pravendra Singh

101 papers A* 11A 10B 4Misc 1Journal 66Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From classical image fusion to deep representation learning: A survey of the advances in hyperspectral image pan-sharpening. Inf. Fusion Raj Kumar, Swalpa Kumar Roy, Gemine Vivone, Swagatam Das, Balasubramanian Raman, Pravendra Singh
2026	J	`jnl`	Learning with less: A survey of deep learning in medical imaging under varying supervision levels. Artif. Intell. Medicine Suruchi Kumari, Pravendra Singh
2026	J	`jnl`	Leveraging language prior for infrared small target detection. Neurocomputing Pranav Singh Chib, Pravendra Singh
2026	J	`jnl`	Multi-scale hypergraphs for trajectory imputation and prediction in real-world scenarios. Expert Syst. Appl. Pranav Singh Chib, Pravendra Singh
2025	A*	`conf`	A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. AAAI Suruchi Kumari, Pravendra Singh
2025	J	`jnl`	A generative framework for detection and classification of plant leaf disease using diffusion network. Appl. Soft Comput. Aryan Das, Rajul Mahto, Wentao Wang, Ali Jamali, Pravendra Singh, Swalpa Kumar Roy
2025	—	`conf`	Addressing Label Scarcity and Domain Shift in Medical Image Segmentation. MICCAI (7) Suruchi Kumari, Pravendra Singh
2025	A*	`conf`	Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation. CVPR Suruchi Kumari, Pravendra Singh
2025	—	`conf`	AutoConcept: Unsupervised Extraction of Constituent Concepts from Single Image. ICCVW Pranav Singh Chib, Kirtankumar Vijaykumar Patel, Mudit Gupta, Pise Ashutosh Kalidas, Pravendra Singh
2025	J	`jnl`	CCF: Cross Correcting Framework for pedestrian trajectory prediction in multi-agent traffic scenarios. Inf. Fusion Pranav Singh Chib, Pravendra Singh
2025	J	`jnl`	Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models. CoRR Aryan Das, Tanishq Rachamalla, Pravendra Singh, Koushik Biswas, Vinay Kumar Verma, Swalpa Kumar Roy
2025	—	`conf`	Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness. MICCAI (16) Suruchi Kumari, Harshdeep Singh, Pravendra Singh
2025	—	`conf`	LG-Traj: LLM Guided Pedestrian Trajectory Prediction. ICCVW Pranav Singh Chib, Pravendra Singh
2025	—	`conf`	Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation. CVPR Workshops Suruchi Kumari, Pravendra Singh
2025	J	`jnl`	Leveraging Language Prior for Infrared Small Target Detection. CoRR Pranav Singh, Pravendra Singh
2025	—	`conf`	ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. CVPR Workshops Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma
2025	J	`jnl`	Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism. CoRR Shourya Goel, Himanshi Tibrewal, Anant Jain, Anshul Pundhir, Pravendra Singh
2025	J	`jnl`	Small and dim target detection in infrared imagery: A review, current techniques and future directions. Neurocomputing Nikhil Kumar, Pravendra Singh
2024	J	`jnl`	Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis. CoRR Anshul Pundhir, Balasubramanian Raman, Pravendra Singh
2024	J	`jnl`	CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. CoRR Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. Comput. Biol. Medicine Suruchi Kumari, Pravendra Singh
2024	A*	`conf`	Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction. ICML Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints. Knowl. Based Syst. Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	LG-Traj: LLM Guided Pedestrian Trajectory Prediction. CoRR Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation. CoRR Suruchi Kumari, Pravendra Singh
2024	J	`jnl`	Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. CoRR Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh
2024	A*	`conf`	MS-TIP: Imputation Aware Pedestrian Trajectory Prediction. ICML Pranav Singh Chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, Pravendra Singh
2024	B	`conf`	MWIRSTD: A MWIR Small Target Detection Dataset. ICIP Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh
2024	J	`jnl`	MWIRSTD: A MWIR Small Target Detection Dataset. CoRR Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh
2024	A*	`conf`	Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. NeurIPS Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. CoRR Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey. IEEE Trans. Intell. Veh. Pranav Singh Chib, Pravendra Singh
2024	J	`jnl`	Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri
2024	J	`jnl`	Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs. CoRR Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma
2024	J	`jnl`	SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification. Biomed. Signal Process. Control. Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
2024	—	`conf`	STNet: Small Target Detection Network for IR Imagery. ICPR (30) Nikhil Kumar, Pranav Singh Chib, Pravendra Singh
2023	B	`conf`	A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. GLOBECOM Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh
2023	J	`jnl`	Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP
2023	J	`jnl`	Data efficient deep learning for medical image analysis: A survey. CoRR Suruchi Kumari, Pravendra Singh
2023	J	`jnl`	Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. CoRR Suruchi Kumari, Pravendra Singh
2023	J	`jnl`	Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction. CoRR Pranav Singh Chib, Pravendra Singh
2023	J	`jnl`	Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints. CoRR Pranav Singh Chib, Pravendra Singh
2023	J	`jnl`	Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh
2023	J	`jnl`	Mitigate forgetting in few-shot class-incremental learning using different image views. Neural Networks Pratik Mazumder, Pravendra Singh
2023	J	`jnl`	Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey. CoRR Pranav Singh Chib, Pravendra Singh
2023	J	`jnl`	SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification. CoRR Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
2023	J	`jnl`	Small and Dim Target Detection in IR Imagery: A Review. CoRR Nikhil Kumar, Pravendra Singh
2022	—	`conf`	Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. ECCV (13) Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
2022	J	`jnl`	Attaining Class-level Forgetting in Pretrained Model using Few Samples. CoRR Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
2022	J	`jnl`	Context extraction module for deep convolutional neural networks. Pattern Recognit. Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2022	J	`jnl`	Dual class representation learning for few-shot image classification. Knowl. Based Syst. Pravendra Singh, Pratik Mazumder
2022	A	`conf`	Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2022	J	`jnl`	Few-shot image classification with composite rotation based self-supervised auxiliary task. Neurocomputing Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2022	J	`jnl`	On restoration of degraded fingerprints. Multim. Tools Appl. Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2022	J	`jnl`	Protected attribute guided representation learning for bias mitigation in limited data. Knowl. Based Syst. Pratik Mazumder, Pravendra Singh
2021	A	`conf`	AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. WACV Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
2021	J	`jnl`	Calibrating feature maps for deep CNNs. Neurocomputing Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim, Vinay P. Namboodiri
2021	J	`jnl`	DILF-EN framework for Class-Incremental Learning. CoRR Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh
2021	J	`jnl`	Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A*	`conf`	Few-Shot Lifelong Learning. AAAI Pratik Mazumder, Pravendra Singh, Piyush Rai
2021	J	`jnl`	Few-Shot Lifelong Learning. CoRR Pratik Mazumder, Pravendra Singh, Piyush Rai
2021	A	`conf`	Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A*	`conf`	Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2021	J	`jnl`	Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2021	J	`jnl`	Optimizing nonlinear activation function for convolutional neural networks. Signal Image Video Process. Munender Varshney, Pravendra Singh
2021	A	`conf`	RNNP: A Robust Few-Shot Learning Approach. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A*	`conf`	Rectification-Based Knowledge Retention for Continual Learning. CVPR Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
2021	J	`jnl`	Rectification-based Knowledge Retention for Continual Learning. CoRR Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
2020	A	`conf`	A "Network Pruning Network" Approach to Deep Model Compression. WACV Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2020	J	`jnl`	A "Network Pruning Network" Approach to Deep Model Compression. CoRR Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2020	J	`jnl`	AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. CoRR Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
2020	J	`jnl`	Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	A	`conf`	Accuracy Booster: Performance Boosting using Feature Map Re-calibration. WACV Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	Misc	`conf`	CPWC: Contextual Point Wise Convolution for Object Recognition. ICASSP Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	A*	`conf`	Calibrating CNNs for Lifelong Learning. NeurIPS Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
2020	A	`conf`	Cooperative Initialization based Deep Neural Network Training. WACV Pravendra Singh, Munender Varshney, Vinay P. Namboodiri
2020	J	`jnl`	Cooperative Initialization based Deep Neural Network Training. CoRR Pravendra Singh, Munender Varshney, Vinay P. Namboodiri
2020	J	`jnl`	EDS pooling layer. Image Vis. Comput. Pravendra Singh, Prem Raj, Vinay P. Namboodiri
2020	J	`jnl`	FALF ConvNets: Fatuous auxiliary loss based filter-pruning for efficient deep CNNs. Image Vis. Comput. Pravendra Singh, Vinay Sameer Raja Kadi, Vinay P. Namboodiri
2020	J	`jnl`	GIFSL - grafting based improved few-shot learning. Image Vis. Comput. Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	J	`jnl`	HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	J	`jnl`	Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	A	`conf`	Leveraging Filter Correlations for Deep Model Compression. WACV Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	—	`conf`	Minimizing Supervision in Multi-label Categorization. CVPR Workshops Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri
2020	J	`jnl`	Minimizing Supervision in Multi-label Categorization. CoRR Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri
2020	B	`conf`	Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. IJCNN Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	J	`jnl`	Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. CoRR Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	J	`jnl`	RNNP: A Robust Few-Shot Learning Approach. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	B	`conf`	SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. IJCNN Pravendra Singh, Vinay P. Namboodiri
2019	J	`jnl`	Accuracy Booster: Performance Boosting using Feature Map Re-calibration. CoRR Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2019	J	`jnl`	CPWC: Contextual Point Wise Convolution for Object Recognition. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2019	A*	`conf`	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	J	`jnl`	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	A	`conf`	Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. WACV Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri
2019	A*	`conf`	Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	J	`jnl`	Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	A	`conf`	Stability Based Filter Pruning for Accelerating Deep CNNs. WACV Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri
2018	J	`jnl`	Leveraging Filter Correlations for Deep Model Compression. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2018	J	`jnl`	Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector. CoRR Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri
2018	J	`jnl`	Stability Based Filter Pruning for Accelerating Deep CNNs. CoRR Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri
2015	J	`jnl`	Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives. CoRR Pravendra Singh