Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives. - Pravendra Singh (CoRR, 2015)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (CVPR, 2019)

Play and Prune: Adaptive Filter Pruning for Deep Model Compression. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (IJCAI, 2019)

Stability Based Filter Pruning for Accelerating Deep CNNs. - Pravendra Singh; Vinay Sameer Raja Kadi; Nikhil Verma; Vinay P. Namboodiri (WACV, 2019)

Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. - Pravendra Singh; Manikandan R; Neeraj Matiyali; Vinay P. Namboodiri (WACV, 2019)

Minimizing Supervision in Multi-label Categorization. - Rajat; Munender Varshney; Pravendra Singh; Vinay P. Namboodiri (CVPR Workshops, 2020)

CPWC: Contextual Point Wise Convolution for Object Recognition. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (ICASSP, 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 (IJCNN, 2020)

SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. - Pravendra Singh; Vinay P. Namboodiri (IJCNN, 2020)

Calibrating CNNs for Lifelong Learning. - Pravendra Singh; Vinay Kumar Verma; Pratik Mazumder; Lawrence Carin; Piyush Rai (NeurIPS, 2020)

Accuracy Booster: Performance Boosting using Feature Map Re-calibration. - Pravendra Singh; Pratik Mazumder; Vinay P. Namboodiri (WACV, 2020)

Cooperative Initialization based Deep Neural Network Training. - Pravendra Singh; Munender Varshney; Vinay P. Namboodiri (WACV, 2020)

Leveraging Filter Correlations for Deep Model Compression. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (WACV, 2020)

A "Network Pruning Network" Approach to Deep Model Compression. - Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (WACV, 2020)

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (Int. J. Comput. Vis., 2020)

GIFSL - grafting based improved few-shot learning. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (Image Vis. Comput., 2020)

FALF ConvNets: Fatuous auxiliary loss based filter-pruning for efficient deep CNNs. - Pravendra Singh; Vinay Sameer Raja Kadi; Vinay P. Namboodiri (Image Vis. Comput., 2020)

EDS pooling layer. - Pravendra Singh; Prem Raj; Vinay P. Namboodiri (Image Vis. Comput., 2020)

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (IEEE J. Sel. Top. Signal Process., 2020)

Few-Shot Lifelong Learning. - Pratik Mazumder; Pravendra Singh; Piyush Rai (AAAI, 2021)

Rectification-Based Knowledge Retention for Continual Learning. - Pravendra Singh; Pratik Mazumder; Piyush Rai; Vinay P. Namboodiri (CVPR, 2021)

Knowledge Consolidation based Class Incremental Online Learning with Limited Data. - Mohammed Asad Karim; Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (IJCAI, 2021)

Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2021)

RNNP: A Robust Few-Shot Learning Approach. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2021)

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. - Pratik Mazumder; Pravendra Singh; Kranti Kumar Parida; Vinay P. Namboodiri (WACV, 2021)

DILF-EN framework for Class-Incremental Learning. - Mohammed Asad Karim; Indu Joshi; Pratik Mazumder; Pravendra Singh (CoRR, 2021)

Calibrating feature maps for deep CNNs. - Pravendra Singh; Pratik Mazumder; Mohammed Asad Karim; Vinay P. Namboodiri (Neurocomputing, 2021)

Optimizing nonlinear activation function for convolutional neural networks. - Munender Varshney; Pravendra Singh (Signal Image Video Process., 2021)

Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. - Pravendra Singh; Pratik Mazumder; Mohammed Asad Karim (ECCV (13), 2022)

Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2022)

Few-shot image classification with composite rotation based self-supervised auxiliary task. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (Neurocomputing, 2022)

Protected attribute guided representation learning for bias mitigation in limited data. - Pratik Mazumder; Pravendra Singh (Knowl. Based Syst., 2022)

Dual class representation learning for few-shot image classification. - Pravendra Singh; Pratik Mazumder (Knowl. Based Syst., 2022)

On restoration of degraded fingerprints. - Indu Joshi; Ayush Utkarsh; Pravendra Singh; Antitza Dantcheva; Sumantra Dutta Roy; Prem Kumar Kalra (Multim. Tools Appl., 2022)

Context extraction module for deep convolutional neural networks. - Pravendra Singh; Pratik Mazumder; Vinay P. Namboodiri (Pattern Recognit., 2022)

A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. - Ravjot Singh; Prakhar Gupta; Naman Jain; Neetesh Kumar; Pravendra Singh (GLOBECOM, 2023)

Data efficient deep learning for medical image analysis: A survey. - Suruchi Kumari; Pravendra Singh (CoRR, 2023)

Small and Dim Target Detection in IR Imagery: A Review. - Nikhil Kumar; Pravendra Singh (CoRR, 2023)

Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction. - Pranav Singh Chib; Pravendra Singh (CoRR, 2023)

Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. - Arnab Kumar Mondal; Indu Joshi; Pravendra Singh; Prathosh AP (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Leveraging joint incremental learning objective with data ensemble for class incremental learning. - Pratik Mazumder; Mohammed Asad Karim; Indu Joshi; Pravendra Singh (Neural Networks, 2023)

Mitigate forgetting in few-shot class-incremental learning using different image views. - Pratik Mazumder; Pravendra Singh (Neural Networks, 2023)

MWIRSTD: A MWIR Small Target Detection Dataset. - Nikhil Kumar; Avinash Upadhyay; Shreya Sharma; Manoj Sharma; Pravendra Singh (ICIP, 2024)

MS-TIP: Imputation Aware Pedestrian Trajectory Prediction. - Pranav Singh Chib; Achintya Nath; Paritosh Kabra; Ishu Gupta; Pravendra Singh (ICML, 2024)

Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction. - Pranav Singh Chib; Pravendra Singh (ICML, 2024)

STNet: Small Target Detection Network for IR Imagery. - Nikhil Kumar; Pranav Singh Chib; Pravendra Singh (ICPR (30), 2024)

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. - Pranav Singh Chib; Pravendra Singh (NeurIPS, 2024)

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 (Biomed. Signal Process. Control., 2024)

LG-Traj: LLM Guided Pedestrian Trajectory Prediction. - Pranav Singh Chib; Pravendra Singh (CoRR, 2024)

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs. - Soham Mitra; Atri Sukul; Swalpa Kumar Roy; Pravendra Singh; Vinay Kumar Verma (CoRR, 2024)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CoRR, 2024)

Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis. - Anshul Pundhir; Balasubramanian Raman; Pravendra Singh (CoRR, 2024)

CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. - Pranav Singh Chib; Pravendra Singh (CoRR, 2024)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. - Suruchi Kumari; Aryan Das; Swalpa Kumar Roy; Indu Joshi; Pravendra Singh (CoRR, 2024)

Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints. - Pranav Singh Chib; Pravendra Singh (Knowl. Based Syst., 2024)

Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey. - Pranav Singh Chib; Pravendra Singh (IEEE Trans. Intell. Veh., 2024)

Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives. - Suruchi Kumari; Pravendra Singh (Comput. Biol. Medicine, 2024)

Rectification-Based Knowledge Retention for Task Incremental Learning. - Pratik Mazumder; Pravendra Singh; Piyush Rai; Vinay P. Namboodiri (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. - Suruchi Kumari; Pravendra Singh (AAAI, 2025)

Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CVPR, 2025)

Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation. - Suruchi Kumari; Pravendra Singh (CVPR Workshops, 2025)

ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. - Soham Mitra; Atri Sukul; Swalpa Kumar Roy; Pravendra Singh; Vinay Kumar Verma (CVPR Workshops, 2025)

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 (Appl. Soft Comput., 2025)

Small and dim target detection in infrared imagery: A review, current techniques and future directions. - Nikhil Kumar; Pravendra Singh (Neurocomputing, 2025)

CCF: Cross Correcting Framework for pedestrian trajectory prediction in multi-agent traffic scenarios. - Pranav Singh Chib; Pravendra Singh (Inf. Fusion, 2025)

Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism. - Shourya Goel; Himanshi Tibrewal; Anant Jain; Anshul Pundhir; Pravendra Singh (CoRR, 2025)

Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models. - Aryan Das; Tanishq Rachamalla; Pravendra Singh; Koushik Biswas; Vinay Kumar Verma; Swalpa Kumar Roy (CoRR, 2025)

Leveraging Language Prior for Infrared Small Target Detection. - Pranav Singh; Pravendra Singh (CoRR, 2025)

Multi-scale hypergraphs for trajectory imputation and prediction in real-world scenarios. - Pranav Singh Chib; Pravendra Singh (Expert Syst. Appl., 2026)