5 papers
An Investigation of End-to-End Models for Robust Speech Recognition
Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan
End-to-end models for robust automatic speech recognition (ASR) have not been sufficiently well-explored in prior work. With end-to-end models, one could choose to preprocess the i…
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
Sayan Banerjee, S Divakar Bhat, Subhasis Chaudhuri +1
In this paper, we propose a novel framework for multi-image co-segmentation using class agnostic meta-learning strategy by generalizing to new classes given only a small number of…
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee +1
Spiking Neural Networks (SNN) are energy-efficient computing architectures that exchange spikes for processing information, unlike classical Artificial Neural Networks (ANN). Due t…
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan +1
Person re-identification addresses the problem of matching pedestrian images across disjoint camera views. Design of feature descriptor and distance metric learning are the two fun…
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan +1
A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abn…