| 2025 | AAAI | A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. | Suruchi Kumari, Pravendra Singh |
| 2025 | CVPR | Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation. | Suruchi Kumari, Pravendra Singh |
| 2025 | CVPR | Leveraging Fixed and Dynamic Pseudo-Labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation. | Suruchi Kumari, Pravendra Singh |
| 2025 | CVPR | ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. | Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma |
| 2025 | ICCV | AutoConcept: Unsupervised Extraction of Constituent Concepts from Single Image. | Pranav Singh Chib, Kirtankumar Vijaykumar Patel, Mudit Gupta, Pise Ashutosh Kalidas, Pravendra Singh |
| 2025 | ICCV | LG-Traj: LLM Guided Pedestrian Trajectory Prediction. | Pranav Singh Chib, Pravendra Singh |
| 2025 | MICCAI | Addressing Label Scarcity and Domain Shift in Medical Image Segmentation. | Suruchi Kumari, Pravendra Singh |
| 2025 | MICCAI | Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness. | Suruchi Kumari, Harshdeep Singh, Pravendra Singh |
| 2024 | ICIP | MWIRSTD: A MWIR Small Target Detection Dataset. | Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh |
| 2024 | ICML | MS-TIP: Imputation Aware Pedestrian Trajectory Prediction. | Pranav Singh Chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, Pravendra Singh |
| 2024 | ICML | Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction. | Pranav Singh Chib, Pravendra Singh |
| 2024 | ICPR | STNet: Small Target Detection Network for IR Imagery. | Nikhil Kumar, Pranav Singh Chib, Pravendra Singh |
| 2023 | GLOBECOM | A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. | Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh |
| 2022 | ECCV | Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. | Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim |
| 2022 | WACV | Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. | Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri |
| 2021 | AAAI | Few-Shot Lifelong Learning. | Pratik Mazumder, Pravendra Singh, Piyush Rai |
| 2021 | CVPR | Rectification-Based Knowledge Retention for Continual Learning. | Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri |
| 2021 | IJCAI | Knowledge Consolidation based Class Incremental Online Learning with Limited Data. | Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai |
| 2021 | WACV | Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. | Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri |
| 2021 | WACV | RNNP: A Robust Few-Shot Learning Approach. | Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri |
| 2021 | WACV | 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 |
| 2020 | CVPR | Minimizing Supervision in Multi-label Categorization. | Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri |
| 2020 | ICASSP | CPWC: Contextual Point Wise Convolution for Object Recognition. | Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri |
| 2020 | IJCNN | Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. | Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri |
| 2020 | IJCNN | SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. | Pravendra Singh, Vinay P. Namboodiri |
| 2020 | WACV | Accuracy Booster: Performance Boosting using Feature Map Re-calibration. | Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri |
| 2020 | WACV | Cooperative Initialization based Deep Neural Network Training. | Pravendra Singh, Munender Varshney, Vinay P. Namboodiri |
| 2020 | WACV | Leveraging Filter Correlations for Deep Model Compression. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2020 | WACV | A "Network Pruning Network" Approach to Deep Model Compression. | Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai |
| 2019 | CVPR | HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2019 | IJCAI | Play and Prune: Adaptive Filter Pruning for Deep Model Compression. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2019 | WACV | Stability Based Filter Pruning for Accelerating Deep CNNs. | Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri |
| 2019 | WACV | Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. | Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri |