Pravendra Singh

22 papers · 2019–2025 · 8 venues · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36)

🧭 Keyword Pioneer 🗃️ Keyword Collector (81) 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer

Venues

WACV (8) CVPR (3) AAAI (2) ICML (2) IJCAI (2) MICCAI (2) NeurIPS (2) ECCV (1)

Top co-authors

Pratik Mazumder (9) Piyush Rai (8) Vinay P. Namboodiri (7) Vinay Kumar Verma (6) Vinay Namboodiri (4) Suruchi Kumari (4) Pranav Singh Chib (3) Mohammed Asad Karim (2) Vinay Namboodri (1) Lawrence Carin (1)

Research topics

Machine Learning (17) Artificial Intelligence (9) Learning Types · Machine Learning (9) Deep Learning (8) Application Areas (7) Core AI (5) Learning Paradigms (5) Computer Vision (4) Architectures (4) Learning Types · Deep Learning (4) Optimization & Theory · Deep Learning (4) Core Methods (3) Domain-Specific (3) Optimization & Theory · Machine Learning (3) Healthcare & Medicine (1)

Keywords

convolutional neural network (5) model compression (5) catastrophic forgetting (4) image classification (3) few-shot learning (3) continual learning (2) knowledge distillation (2) filter pruning (2) semi-supervised learning (2) medical image segmentation (2) lifelong learning (2) parameter reduction (2) zero-shot learning (2) self-supervised learning (2) uncertainty quantification (1) feature extraction (1) domain adaptation (1) online learning (1) representation learning (1) multimodal learning (1)

Papers

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation MICCAI 2025 Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation CVPR 2025 A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images AAAI 2025 Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness MICCAI 2025 Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction ICML 2024 MS-TIP: Imputation Aware Pedestrian Trajectory Prediction ICML 2024 Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking NeurIPS 2024 Attaining Class-Level Forgetting in Pretrained Model Using Few Samples ECCV 2022 Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation WACV 2022 AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features From Multi-Modal Embeddings WACV 2021 Few-Shot Lifelong Learning AAAI 2021 Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task WACV 2021 Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021 Rectification-Based Knowledge Retention for Continual Learning CVPR 2021 RNNP: A Robust Few-Shot Learning Approach WACV 2021 Accuracy Booster: Performance Boosting using Feature Map Re-calibration WACV 2020 A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020 Calibrating CNNs for Lifelong Learning NeurIPS 2020 Cooperative Initialization based Deep Neural Network Training WACV 2020 Leveraging Filter Correlations for Deep Model Compression WACV 2020 HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs CVPR 2019 Play and Prune: Adaptive Filter Pruning for Deep Model Compression IJCAI 2019