Publications

2024

  1. Mitigate Forgetting in Few-Shot Class-Incremental Learning Using Different Image Views
    Pratik Mazumder and Pravendra Singh
    Neural Networks, 2024
  2. Leveraging Joint Incremental Learning Objective with Data Ensemble for Class Incremental Learning
    Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, and 1 more author
    Neural Networks, 2024
  3. Rectification-based Knowledge Retention for Task Incremental Learning
    Pratik Mazumder, Pravendra Singh, Piyush Rai, and 1 more author
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
  4. Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting
    Piyush Arora and Pratik Mazumder
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

2022

  1. Few-Shot Image Classification with Composite Rotation based Self-Supervised Auxiliary Task
    Pratik Mazumder and Pravendra Singh
    Neurocomputing, 2022
  2. Protected Attribute Guided Representation Learning for Bias Mitigation in Limited Data
    Pratik Mazumder and Pravendra Singh
    Knowledge-Based Systems, 2022
  3. Dual Class Representation Learning for Few-Shot Image Classification
    Pratik Mazumder and Pravendra Singh
    Knowledge-Based Systems, 2022
  4. Context Extraction Module for Deep Convolutional Neural Networks
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    Pattern Recognition, 2022
  5. Attaining Class-level Forgetting in Pretrained Model using Few Samples
    Pratik Mazumder, Pravendra Singh, and Mohammed Asad Karim
    In European Conference on Computer Vision (ECCV), 2022
  6. Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022

2021

  1. Calibrating Feature Maps for Deep CNNs
    Pratik Mazumder, Pravendra Singh, Mohammed Asad Karim, and 1 more author
    Neurocomputing, 2021
  2. Rectification-based Knowledge Retention for Continual Learning
    Pratik Mazumder, Pravendra Singh, Piyush Rai, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  3. Few-Shot Lifelong Learning
    Pratik Mazumder, Pravendra Singh, and Piyush Rai
    In AAAI Conference on Artificial Intelligence (AAAI), 2021
  4. RNNP: A Robust Few-Shot Learning Approach
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
  5. AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings
    Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, and 1 more author
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
  6. Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

2020

  1. GIFSL - Grafting based Improved Few-Shot Learning
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    Image and Vision Computing, 2020
  2. Calibrating cnns for lifelong learning
    Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, and 2 more authors
    In git Advances in Neural Information Processing Systems, 2020
  3. Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
    Pravendra Singh, Pratik Mazumder, and Vinay P Namboodiri
    In IEEE International Joint Conference on Neural Networks (IJCNN), 2020
  4. CPWC: Contextual Point Wise Convolution for Object Recognition
    Pratik Mazumder, Pravendra Singh, and Vinay P Namboodiri
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
  5. Accuracy Booster: Performance Boosting using Feature Map Re-calibration
    Pravendra Singh, Pratik Mazumder, and Vinay P Namboodiri
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020