Research output

Publications

Research across reliable multimodal and generative AI, generalization, adaptation, autonomous systems, and applied deep learning.

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2026

Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection

Sairam VCR, Rishabh Lalla, Aveen Dayal, Tejal Kulkarni, Anuj Lalla, Vineeth N. Balasubramanian, Muhammad Haris Khan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by 1Conference paper

Paper Scholar

2026

Bridging the Domain Gap in Small Multimodal Models: A Dual-level Alignment Perspective

Aveen Dayal, P. Divya, N. Tiwari, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Cited by 0Conference paper

Scholar

2025

Leveraging Mixture Alignment for Multi-Source Domain Adaptation

Aveen Dayal, Shrusti S., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar

IEEE Transactions on Image Processing

Cited by 28Journal article

DOI Scholar

2025

An Ensemble Approach Using RNN, LSTM, BiLSTM and DistilBERT for Sarcasm Detection in News Headlines

A. V. Shinde, C. Krishna Mohan, Aveen Dayal

9th International Conference on Computing, Communication, Control and Automation

Cited by 0Conference paper

Scholar

2024

Classification of Anomalies in Industrial Machines utilizing Machine Sounds and Deep Learning

Nandam Sreevidya, Nathala Sai Sree, Aveen Dayal, M. Sabarimalai Manikandan, Jing Zhou, Linga Reddy Cenkeramaddi

19th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Cited by 7Conference paper

Scholar

2024

Vessel Type Classification utilizing Underwater Acoustic Data and Deep Learning

Nathala Sai Sree, Rakesh Reddy Yakkati, Aveen Dayal, M. Sabarimalai Manikandan, Jing Zhou, Linga Reddy Cenkeramaddi

19th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Cited by 6Conference paper

Scholar

2024

Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach

Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian

European Conference on Computer Vision (ECCV)

Cited by 4Conference paper

Scholar

2023

MADG: Margin-based Adversarial Learning for Domain Generalization

Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian

Advances in Neural Information Processing Systems (NeurIPS)

Cited by 81Conference paper

Paper Scholar

2023

Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition using Thermal Images

Aveen Dayal, M. Aishwarya, S. Abhilash, C. Krishna Mohan, Abhinav Kumar, Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Cited by 68Journal article

DOI Scholar

2023

Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization

J. Amendola, Aveen Dayal, Linga Reddy Cenkeramaddi, A. Jha

IEEE Access

Cited by 2Journal article

DOI Scholar

2023

Motor Bearing Fault Classification using Laser Sensor and Light Weight CNN

R. Pretto, Aveen Dayal, Y. O. Haile, J. Amendola, Linga Reddy Cenkeramaddi, K. Robbersmyr, A. Jha

IEEE International Symposium on Smart Electronic Systems (IEEE-iSES)

Cited by 0Conference paper

Scholar

2022

Reward Criteria Impact on the Performance of Reinforcement Learning Agent for Autonomous Navigation

Aveen Dayal, A. Jha, Linga Reddy Cenkeramaddi

Applied Soft Computing

Cited by 44Journal article

DOI Scholar

2022

Lightweight deep convolution neural network for background sound classification in speech signals

Aveen Dayal, S. R. Yeduri, B. H. Koduru, R. K. Jaiswal, J. Soumya, M. B. Srinivas, O. J. Pandey, Linga Reddy Cenkeramaddi

Journal of the Acoustical Society of America

Cited by 17Journal article

DOI Scholar

2021

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images

N. Paluru, Aveen Dayal, H. B. Jenssen, T. Sakinis, Linga Reddy Cenkeramaddi, J. Prakash, P. K. Yalavarthy

IEEE Transactions on Neural Networks and Learning Systems

Cited by 213Journal article

DOI Scholar

2021

Mini-COVIDNet: Efficient Light Weight Deep Neural Network for Ultrasound based Point-of-Care Testing of COVID-19

N. Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, P. K. Yalavarthy

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Cited by 92Journal article

DOI Scholar

2021

Deep Learning based Sign Language Digits Recognition from Thermal Images with Edge Computing System

D. S. Breland, S. B. Skriubakken, Aveen Dayal, A. Jha, P. K. Yalavarthy, Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Cited by 89Journal article

DOI Scholar

2021

Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images

D. S. Breland, Aveen Dayal, A. Jha, P. K. Yalavarthy, O. J. Pandey, Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Cited by 69Journal article

DOI Scholar

2021

Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures

Aveen Dayal, N. Paluru, Linga Reddy Cenkeramaddi, J. Soumya, P. K. Yalavarthy

Electronics

Cited by 54Journal article

DOI Scholar

2021

A Novel Angle Estimation for mmWave FMCW Radars using Machine Learning

Linga Reddy Cenkeramaddi, P. K. Rai, Aveen Dayal, J. Bhatia, A. Pandya, J. Soumya, A. Kumar, A. Jha

IEEE Sensors Journal

Cited by 39Journal article

DOI Scholar

2021

Classification of targets using statistical features from range FFT of mmWave FMCW radars

J. Bhatia, Aveen Dayal, et al.

Electronics

Cited by 39Journal article

DOI Scholar

2021

Object Classification Technique for mmWave FMCW Radars using Range-FFT Features

J. Bhatia, Aveen Dayal, et al.

13th IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS)

Cited by 34Conference paper

DOI Scholar