Pravendra Singh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Incremental Learning

Medical Image Segmentation

Adaptive Filter

Top Venues

Image Vis. Comput.

Knowl. Based Syst.

Publications

Pranav Singh Chib, Pravendra Singh
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. CoRR (2024)
Suruchi Kumari, Pravendra Singh
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. Comput. Biol. Medicine 170 (2024)
Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. CoRR (2024)
Pranav Singh Chib, Pravendra Singh
LG-Traj: LLM Guided Pedestrian Trajectory Prediction. CoRR (2024)
Pranav Singh Chib, Pravendra Singh
Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey. IEEE Trans. Intell. Veh. 9 (1) (2024)
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification. Biomed. Signal Process. Control. 89 (2024)
Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs. CoRR (2024)
Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri
Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Suruchi Kumari, Pravendra Singh
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation. CoRR (2024)
Anshul Pundhir, Balasubramanian Raman, Pravendra Singh
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis. CoRR (2024)
Pranav Singh Chib, Pravendra Singh
Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints. Knowl. Based Syst. 300 (2024)
Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh
MWIRSTD: A MWIR Small Target Detection Dataset. CoRR (2024)
Pratik Mazumder, Pravendra Singh
Mitigate forgetting in few-shot class-incremental learning using different image views. Neural Networks 165 (2023)
Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh
A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. GLOBECOM (2023)
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification. CoRR (2023)
Pranav Singh Chib, Pravendra Singh
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints. CoRR (2023)
Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Nikhil Kumar, Pravendra Singh
Small and Dim Target Detection in IR Imagery: A Review. CoRR (2023)
Suruchi Kumari, Pravendra Singh
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. CoRR (2023)
Pranav Singh Chib, Pravendra Singh
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey. CoRR (2023)
Suruchi Kumari, Pravendra Singh
Data efficient deep learning for medical image analysis: A survey. CoRR (2023)
Pranav Singh Chib, Pravendra Singh
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction. CoRR (2023)
Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh
Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks 161 (2023)
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Context extraction module for deep convolutional neural networks. Pattern Recognit. 122 (2022)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Few-shot image classification with composite rotation based self-supervised auxiliary task. Neurocomputing 489 (2022)
Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
On restoration of degraded fingerprints. Multim. Tools Appl. 81 (24) (2022)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. WACV (2022)
Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
Attaining Class-level Forgetting in Pretrained Model using Few Samples. CoRR (2022)
Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. ECCV (13) (2022)
Pratik Mazumder, Pravendra Singh
Protected attribute guided representation learning for bias mitigation in limited data. Knowl. Based Syst. 244 (2022)
Pravendra Singh, Pratik Mazumder
Dual class representation learning for few-shot image classification. Knowl. Based Syst. 238 (2022)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. WACV (2021)
Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
Rectification-based Knowledge Retention for Continual Learning. CoRR (2021)
Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim, Vinay P. Namboodiri
Calibrating feature maps for deep CNNs. Neurocomputing 438 (2021)
Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
Rectification-Based Knowledge Retention for Continual Learning. CVPR (2021)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
RNNP: A Robust Few-Shot Learning Approach. WACV (2021)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. CoRR (2021)
Munender Varshney, Pravendra Singh
Optimizing nonlinear activation function for convolutional neural networks. Signal Image Video Process. 15 (6) (2021)
Pratik Mazumder, Pravendra Singh, Piyush Rai
Few-Shot Lifelong Learning. CoRR (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR (2021)
Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. WACV (2021)
Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh
DILF-EN framework for Class-Incremental Learning. CoRR (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI (2021)
Pratik Mazumder, Pravendra Singh, Piyush Rai
Few-Shot Lifelong Learning. AAAI (2021)
Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri
Minimizing Supervision in Multi-label Categorization. CoRR (2020)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
RNNP: A Robust Few-Shot Learning Approach. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. WACV (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. WACV (2020)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128 (8) (2020)
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. WACV (2020)
Pratik Mazumder, Pravendra Singh, Vinay Namboodiri
CPWC: Contextual Point Wise Convolution for Object Recognition. ICASSP (2020)
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. IJCNN (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. CoRR (2020)
Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri
Minimizing Supervision in Multi-label Categorization. CVPR Workshops (2020)
Pravendra Singh, Vinay Sameer Raja Kadi, Vinay P. Namboodiri
FALF ConvNets: Fatuous auxiliary loss based filter-pruning for efficient deep CNNs. Image Vis. Comput. 93 (2020)
Pravendra Singh, Munender Varshney, Vinay P. Namboodiri
Cooperative Initialization based Deep Neural Network Training. CoRR (2020)
Pravendra Singh, Vinay P. Namboodiri
SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. IJCNN (2020)
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
Calibrating CNNs for Lifelong Learning. NeurIPS (2020)
Pravendra Singh, Prem Raj, Vinay P. Namboodiri
EDS pooling layer. Image Vis. Comput. 98 (2020)
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
GIFSL - grafting based improved few-shot learning. Image Vis. Comput. 104 (2020)
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Pravendra Singh, Munender Varshney, Vinay P. Namboodiri
Cooperative Initialization based Deep Neural Network Training. WACV (2020)
Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI (2019)
Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri
Stability Based Filter Pruning for Accelerating Deep CNNs. WACV (2019)
Pratik Mazumder, Pravendra Singh, Vinay Namboodiri
CPWC: Contextual Point Wise Convolution for Object Recognition. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR (2019)
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR (2019)
Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay Namboodiri
Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. WACV (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. CoRR (2018)
Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector. CoRR (2018)
Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri
Stability Based Filter Pruning for Accelerating Deep CNNs. CoRR (2018)
Pravendra Singh
Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives. CoRR (2015)