M. Srinivas

49 papers A* 1A 1B 3C 5Misc 4Journal 15Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMSF-YOLO: An attention-based multi-scale feature extraction model for UAV small object detection.
Pattern Recognit.
Bhimendra Dewangan, M. Srinivas
2026 C conf
EGDF-Net: Edge-Guided Deblurring and Fusion Network for Underwater Image Object Detection.
ICPRAM
E. Goutham, M. Srinivas, R. B. V. Subramanyam
2026 J jnl
Medt5-bi: bidirectional translation between drug indications and molecular structures using a chemically-aware transformer.
J. Comput. Aided Mol. Des.
Soham Pahari, M. Srinivas
2026 — conf
Thorax Disease Classification Based on Spatial Transformer Networks and Squeeze-and-Excitation Blocks.
ISDFS
Kommineni Jenni, Nala AlAhmari, G. Aniruth, M. Srinivas
2026 J jnl
Time series analysis using memory enhanced liquid neural network.
J. Vis. Commun. Image Represent.
M. Srinivas, Abhijeet Kumar, R. B. V. Subramaanyam
2025 J jnl
Lifting Vision: Ground to Aerial Localization with Reasoning Guided Planning.
CoRR
Soham Pahari, M. Srinivas
2025 — conf
TASER-Net: Transformer Based Speech Emotion Recognition.
IWANN (2)
Kommineni Jenni, U. Shivani Sri Varshini, Pradumya Kumar, M. Srinivas
2025 C conf
TRYOLO: A Transformer-Based Real-Time Object Detection Model for UAV Images.
I4CS
Bhimendra Dewangan, M. Srinivas, R. B. V. Subramanyam
2025 — conf
TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering.
IWANN (2)
U. Shivani Sri Varshini, Kommineni Jenni, M. Srinivas
2025 — conf
Time Series Analysis Using Memory Enhanced Liquid Neural Network.
AIAI (3)
Abhijeet Kumar, M. Srinivas, R. B. V. Subramanyam
2024 J jnl
I-S
J. Intell. Inf. Syst.
U. Shivani Sri Varshini, Praneetha Sree Rayanoothala, M. Srinivas, R. B. V. Subramanyam
2024 — conf
PCNNTB: Pre-Activated Deep Convolutional Neural Networks Based Tuberculosis Severity Classification.
RIVF
Kommineni Jenni, Murukessan Perumal, M. Srinivas
2024 J jnl
RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection.
IEEE Trans. Comput. Soc. Syst.
U. Shivani Sri Varshini, Praneetha Sree Rayanoothala, M. Srinivas, R. B. V. Subramanyam
2024 — conf
Spatial-DeepLabV3+: Crop Segmentation in Satellite Images.
RIVF
Kommineni Jenni, U. Shivani Sri Varshini, M. Srinivas
2024 — conf
USE_Res2Net: Automatic Plant Image Classification Using Squeeze and Excitation.
RIVF
Murukessan Perumal, Kommineni Jenni, Lahari Karimajji, M. Srinivas
2023 C conf
A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning.
TENCON
Noboranjan Dey, M. Srinivas, R. B. V. Subramanyam
2023 — conf
CED-Net: A Generalized Deep Wide Model for Covid Detection.
CVIP (2)
Shivani Manoj Toshniwal, P. Pranav, M. N. Toshniwal, M. Srinivas, P. Radha Krishna
2023 — conf
CSA-BERT: Video Question Answering.
SSP
Kommineni Jenni, M. Srinivas, Roshni Sannapu, Murukessan Perumal
2023 — conf
DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs.
CVIP (2)
Murukessan Perumal, E. Goutham, Debraj Das, M. Srinivas
2023 J jnl
DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data.
J. Vis. Commun. Image Represent.
Murukessan Perumal, M. Srinivas
2023 — conf
FResFormer: Leukemia Detection Using Fusion-Enabled CNN and Attention.
CVIP (2)
Murukessan Perumal, E. Goutham, U. Shivani Sri Varshini, M. Srinivas, R. B. V. Subramanyam
2023 C conf
HF-Detect A Hybrid Detector for Manipulated Face Detection.
TENCON
Ankit Shakya, Kommineni Jenni, Murukessan Perumal, M. Srinivas
2022 J jnl
Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks.
J. Ambient Intell. Humaniz. Comput.
Aradhana Behura, M. Srinivas, Manas Ranjan Kabat
2021 — conf
Automate Allocation of Secure Slice in Future Mobile Networks using Machine Learning.
ICCCNT
Muddu Krishnama Naidu Immadisetti, Murukessan A. P, M. Srinivas
2019 — conf
Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques.
CLEF (Working Notes)
M. Srinivas, Akshay Nayak, Abhishek Bhatt
2017 B conf
Deep dictionary learning for fine-grained image classification.
ICIP
M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao
2017 A conf
Learning deep and sparse feature representation for fine-grained object recognition.
ICME
M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao
2016 Misc conf
Classification of medical images using edge-based features and sparse representation.
ICASSP
M. Srinivas, C. Krishna Mohan
2016 Misc conf
Discriminative feature extraction from X-ray images using deep convolutional neural networks.
ICASSP
M. Srinivas, Debaditya Roy, C. Krishna Mohan
2016 J jnl
Sparsity-inducing dictionaries for effective action classification.
Pattern Recognit.
Debaditya Roy, M. Srinivas, C. Krishna Mohan
2015 J jnl
Content based medical image retrieval using dictionary learning.
Neurocomputing
M. Srinivas, R. Ramu Naidu, C. S. Sastry, C. Krishna Mohan
2015 C conf
Multi-level classification: A generic classification method for medical datasets.
HealthCom
M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan
2015 — conf
Sparseland model for speckle suppression of B-mode ultrasound images.
NCC
M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan
2015 — conf
Sparsifying Dense Features for Action Classification.
PerMIn
Debaditya Roy, M. Srinivas, C. Krishna Mohan
2014 — conf
Dictionary based action video classification with action bank.
DSP
Shyju Wilson, M. Srinivas, C. Krishna Mohan
2014 — conf
Learning sparse dictionaries for music and speech classification.
DSP
M. Srinivas, Debaditya Roy, C. Krishna Mohan
2014 — conf
Medical images modality classification using multi-scale dictionary learning.
DSP
M. Srinivas, C. Krishna Mohan
2014 B conf
Music genre classification using On-line Dictionary Learning.
IJCNN
M. Srinivas, Debaditya Roy, C. Krishna Mohan
2010 B conf
Efficient clustering approach using incremental and hierarchical clustering methods.
IJCNN
M. Srinivas, C. Krishna Mohan
1998 — conf
Analyzing the Individual/Combined Effects of Speculative and Guarded Execution on a Superscalar Architecture.
IPPS/SPDP
M. Srinivas, Alexandru Nicolau
1996 J jnl
Genetic Search: Analysis Using Fitness Moments.
IEEE Trans. Knowl. Data Eng.
M. Srinivas, Lalit M. Patnaik
1996 J jnl
On Generating Optimal Signal Probabilities for Random Tests: A Genetic Approach.
VLSI Design
M. Srinivas, L. M. Patnaik
1996 J jnl
On modeling genetic algorithms for functions of unitation.
IEEE Trans. Syst. Man Cybern. Part B
M. Srinivas, Lalit M. Patnaik
1994 J jnl
Adaptive probabilities of crossover and mutation in genetic algorithms.
IEEE Trans. Syst. Man Cybern.
M. Srinivas, Lalit M. Patnaik
1994 J jnl
Genetic Algorithms: A Survey.
Computer
M. Srinivas, Lalit M. Patnaik
1993 Misc conf
A Simulation-Based Test Generation Scheme Using Genetic Algorithms.
VLSI Design
M. Srinivas, Lalit M. Patnaik
1993 — conf
Binomially Distributed Populations for Modelling GAs.
ICGA
M. Srinivas, Lalit M. Patnaik
1992 Misc conf
An ASIC for High Performance Stepper Motor Control.
VLSI Design
K. V. S. H. Rao, A. Kansal, Chandra Shekhar, M. Srinivas, V. N. S. N. Rao
1992 A* conf
Enhanced region scheduling on a program dependence graph.
MICRO
V. H. Allen, J. Janardhan, R. M. Lee, M. Srinivas