5 citations · 5 across the 8 of their papers we have counts for
10 papers
Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation
Subir Kumar Parida, Rajbabu Velmurugan, Ketan Kotwal +2
Demographic imbalance in synthetic face generation can propagate to downstream face recognition systems, making fairness an important consideration when diffusion models are used f…
Handling imbalance and few-sample size in ML based Onion disease classification
Abhijeet Manoj Pal, Rajbabu Velmurugan
Accurate classification of pests and diseases plays a vital role in precision agriculture, enabling efficient identification, targeted interventions, and preventing their further s…
Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck
Jayesh Songara, Shivam Pande, Shabnam Choudhury +2
In this research, we deal with the problem of visual question answering (VQA) in remote sensing. While remotely sensed images contain information significant for the task of identi…
Robust Direction-of-Arrival Estimation using Array Feedback Beamforming in Low SNR Scenarios
Parth Mehta, Kumar Appaiah, Rajbabu Velmurugan
A new spatial IIR beamformer based direction-of-arrival (DoA) estimation method is proposed in this paper. We propose a retransmission based spatial feedback method for an array of…
Lattice All-Pass Filter based Precoder Adaptation for MIMO Wireless Channels
Parth Mehta, Agulla Surya Bharath, Kumar Appaiah +2
Modern 5G communication systems employ multiple-input multiple-output (MIMO) in conjunction with orthogonal frequency division multiplexing (OFDM) to enhance data rates, particular…
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…