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ORCIDPravendra Singh
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2020 – today
- 2024
[j20]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: 105665 (2024)- [j19]Suruchi Kumari, Pravendra Singh:
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. Comput. Biol. Medicine 170: 107912 (2024) - [j18]Pranav Singh Chib, Pravendra Singh:
Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints. Knowl. Based Syst. 300: 112240 (2024) - [j17]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): 1561-1575 (2024) - [j16]Pranav Singh Chib, Pravendra Singh:
Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey. IEEE Trans. Intell. Veh. 9(1): 103-118 (2024) - [c24]Pranav Singh Chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, Pravendra Singh:
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction. ICML 2024 - [c23]Pranav Singh Chib, Pravendra Singh:
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction. ICML 2024 - [i35]Pranav Singh Chib, Pravendra Singh:
LG-Traj: LLM Guided Pedestrian Trajectory Prediction. CoRR abs/2403.08032 (2024) - [i34]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 abs/2404.19341 (2024) - [i33]Suruchi Kumari, Pravendra Singh:
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation. CoRR abs/2405.07256 (2024) - [i32]Anshul Pundhir, Balasubramanian Raman, Pravendra Singh:
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis. CoRR abs/2405.10256 (2024) - [i31]Pranav Singh Chib, Pravendra Singh:
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. CoRR abs/2406.00749 (2024) - [i30]Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh:
MWIRSTD: A MWIR Small Target Detection Dataset. CoRR abs/2406.08063 (2024) - [i29]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 abs/2407.05088 (2024) - 2023
- [j15]Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh:
Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks 161: 202-212 (2023) - [j14]Pratik Mazumder, Pravendra Singh:
Mitigate forgetting in few-shot class-incremental learning using different image views. Neural Networks 165: 999-1009 (2023) - [j13]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): 1983-1994 (2023) - [c22]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: 801-806 - [i28]Pranav Singh Chib, Pravendra Singh:
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey. CoRR abs/2307.04370 (2023) - [i27]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 abs/2307.04610 (2023) - [i26]Suruchi Kumari, Pravendra Singh:
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. CoRR abs/2308.01265 (2023) - [i25]Pranav Singh Chib, Pravendra Singh:
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints. CoRR abs/2309.17338 (2023) - [i24]Suruchi Kumari, Pravendra Singh:
Data efficient deep learning for medical image analysis: A survey. CoRR abs/2310.06557 (2023) - [i23]Nikhil Kumar, Pravendra Singh:
Small and Dim Target Detection in IR Imagery: A Review. CoRR abs/2311.16346 (2023) - [i22]Pranav Singh Chib, Pravendra Singh:
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction. CoRR abs/2312.09466 (2023) - 2022
- [j12]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Few-shot image classification with composite rotation based self-supervised auxiliary task. Neurocomputing 489: 179-195 (2022) - [j11]Pravendra Singh, Pratik Mazumder:
Dual class representation learning for few-shot image classification. Knowl. Based Syst. 238: 107840 (2022) - [j10]Pratik Mazumder, Pravendra Singh:
Protected attribute guided representation learning for bias mitigation in limited data. Knowl. Based Syst. 244: 108449 (2022) - [j9]Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
On restoration of degraded fingerprints. Multim. Tools Appl. 81(24): 35349-35377 (2022) - [j8]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Context extraction module for deep convolutional neural networks. Pattern Recognit. 122: 108284 (2022) - [c21]Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim:
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. ECCV (13) 2022: 433-448 - [c20]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. WACV 2022: 3889-3897 - [i21]Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim:
Attaining Class-level Forgetting in Pretrained Model using Few Samples. CoRR abs/2210.10670 (2022) - 2021
- [j7]Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim, Vinay P. Namboodiri:
Calibrating feature maps for deep CNNs. Neurocomputing 438: 235-247 (2021) - [j6]Munender Varshney, Pravendra Singh:
Optimizing nonlinear activation function for convolutional neural networks. Signal Image Video Process. 15(6): 1323-1330 (2021) - [c19]Pratik Mazumder, Pravendra Singh, Piyush Rai:
Few-Shot Lifelong Learning. AAAI 2021: 2337-2345 - [c18]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Continual Learning. CVPR 2021: 15282-15291 - [c17]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI 2021: 2621-2627 - [c16]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. WACV 2021: 2653-2662 - [c15]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
RNNP: A Robust Few-Shot Learning Approach. WACV 2021: 2663-2672 - [c14]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: 3089-3098 - [i20]Pratik Mazumder, Pravendra Singh, Piyush Rai:
Few-Shot Lifelong Learning. CoRR abs/2103.00991 (2021) - [i19]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-based Knowledge Retention for Continual Learning. CoRR abs/2103.16597 (2021) - [i18]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR abs/2106.06795 (2021) - [i17]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. CoRR abs/2107.00067 (2021) - [i16]Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh:
DILF-EN framework for Class-Incremental Learning. CoRR abs/2112.12385 (2021) - 2020
- [j5]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128(8): 2068-2088 (2020) - [j4]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: 103857 (2020) - [j3]Pravendra Singh, Prem Raj, Vinay P. Namboodiri:
EDS pooling layer. Image Vis. Comput. 98: 103923 (2020) - [j2]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
GIFSL - grafting based improved few-shot learning. Image Vis. Comput. 104: 104006 (2020) - [j1]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): 838-847 (2020) - [c13]Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. CVPR Workshops 2020: 93-102 - [c12]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. ICASSP 2020: 4152-4156 - [c11]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: 1-8 - [c10]Pravendra Singh, Vinay P. Namboodiri:
SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. IJCNN 2020: 1-8 - [c9]Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai:
Calibrating CNNs for Lifelong Learning. NeurIPS 2020 - [c8]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. WACV 2020: 824-833 - [c7]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. WACV 2020: 873-882 - [c6]Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. WACV 2020: 1130-1139 - [c5]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. WACV 2020: 2998-3007 - [i15]Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. CoRR abs/2001.01240 (2020) - [i14]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. CoRR abs/2001.05545 (2020) - [i13]Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. CoRR abs/2005.12892 (2020) - [i12]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 abs/2005.13402 (2020) - [i11]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 abs/2006.04406 (2020) - [i10]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. CoRR abs/2006.15919 (2020) - [i9]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
RNNP: A Robust Few-Shot Learning Approach. CoRR abs/2011.11067 (2020)
2010 – 2019
- 2019
- [c4]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR 2019: 4835-4844 - [c3]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI 2019: 3460-3466 - [c2]Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. WACV 2019: 1166-1174 - [c1]Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. WACV 2019: 1318-1327 - [i8]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR abs/1903.04120 (2019) - [i7]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. CoRR abs/1903.04407 (2019) - [i6]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR abs/1905.04446 (2019) - [i5]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. CoRR abs/1910.09643 (2019) - 2018
- [i4]Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. CoRR abs/1811.08321 (2018) - [i3]Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector. CoRR abs/1811.08342 (2018) - [i2]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. CoRR abs/1811.10559 (2018) - 2015
- [i1]Pravendra Singh:
Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives. CoRR abs/1503.08345 (2015)
Coauthor Index
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last updated on 2024-09-04 00:29 CEST by the dblp team
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