Singh, Pravendra

24 publications

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

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

CVPRW 2025 Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation Suruchi Kumari, Pravendra Singh

CVPRW 2025 ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma

ICML 2024 Enhancing Trajectory Prediction Through Self-Supervised Waypoint Distortion Prediction Pranav Singh Chib, Pravendra Singh

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

NeurIPS 2024 Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking Pranav Singh Chib, Pravendra Singh

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

WACV 2022 Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation 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

AAAI 2021 Few-Shot Lifelong Learning Pratik Mazumder, Pravendra Singh, Piyush Rai

WACV 2021 Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri

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

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

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

WACV 2020 A "Network Pruning Network'' Approach to Deep Model Compression Vinay Kumar Verma, Pravendra Singh, Vinay Namboodri, Piyush Rai

WACV 2020 Accuracy Booster: Performance Boosting Using Feature mAP Re-Calibration Pravendra Singh, Pratik Mazumder, Vinay Namboodiri

NeurIPS 2020 Calibrating CNNs for Lifelong Learning Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai

WACV 2020 Cooperative Initialization Based Deep Neural Network Training Pravendra Singh, Munender Varshney, Vinay Namboodiri

WACV 2020 Leveraging Filter Correlations for Deep Model Compression Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay Namboodiri

CVPRW 2020 Minimizing Supervision in Multi-Label Categorization Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri

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

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

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