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ORCID4th CVMI 2025: Rourkela, India
- 2025 IEEE International Conference on Computer Vision and Machine Intelligence, CVMI 2025, Rourkela, India, October 12-13, 2025. IEEE 2025, ISBN 979-8-3315-9602-6
- Sagar Kumar Jha, Madhavi Mathur, Afza Akbar, Jyotsna Singh, Abhishek Rana, Vaishali Suri, Tavpritesh Sethi:
A Vision Transformer Based Framework for Scalable and Interpretable Glioma Histopathology Classification. 1-5 - V. Sai Nithish, M. Shiva Kiran Reddy, M. Nikhil Reddy, T. Naga Abhiram, Uma Sankararao Varri, Vinay Raj:
FedCF: A Federated Collaborative Filtering Framework for Decentralized Movie Recommendations. 1-6 - Bassam Nazer, Poornima Savadattimath, Sushma Kumari:
Data Poisoning Attacks and Defenses in Machine Learning: A Survey with Focus on Computer Vision. 1-6 - Anirudha Ghosh, Debaditya Barman, Abu Sufian, Megha Mandal, Cosimo Distante, Marco Leo:
FairVitDMD: Fairness Assessment of Foundational Vision Transformers for Deep Manipulation Detection. 1-6 - M. Muralidharan, Yazhiniyan Tamizhnambi, Advik Chakravarthy Arun, V. Premanand:
Comparative Study of Object Tracking Algorithms for Urban Intersection Risk Analysis Using CSRT, FairMOT, DeepSORT, and ByteTrack. 1-7 - Isha Bamel, Purav Ahya, Rupali Sawant:
Comparative Analysis of Transformer Models for Skin Lesion Detection. 1-6 - Darshan Dathiya, Ajit Kumar, Narayana Darapaneni:
A Comparative Study of UNet and its Variants for Breast Cancer Tumor Segmentation. 1-6 - Susant Kumar Panigrahi
, Pradipta Sasmal, Dipayan Dewan, Debdoot Sheet:
Encoder-Decoder Refined Recurrent Transformer Network for Accelerated MRI Reconstruction. 1-6 - Anshu Mala Kispotta, Rupesh Kumar Sinha, Sitanshu Sekhar Sahu:
AI-Powered Diagnosis of Voice Disorders Using Mel-Frequency Feature and Machine Learning. 1-6 - Arun Bhattacharya, Dastageer Siddiqui, Partha Pratim Sarangi:
Benchmarking Improved Metaphor-Less Optimization Algorithms on Traveling Salesman Problem. 1-6 - Md. Shahzeb, M. Preethi, Sushma Kumari:
Enhancing Model Efficiency with Random Projections: Applications in Deep Learning. 1-6 - Reethu Thota, Shreyas Rajiv, Avanthi Narasingu:
Real- Time Sign Language Recognition with CNN - Transformer Model. 1-7 - Ayush Kumar Poddar, Achyuth Kasyap P, Atul Mayank, Adarsh Srinivas Prabhu, G. Dinesh Krishan:
Signature Recognition and Forgery Detection Using Image Processing Techniques. 1-6 - M. V. Amruth Karun, C. Selvi:
A Hybrid Hierarchical Approach for Long Document Topic Representation. 1-6 - Keshav Lohani, Tirlok Meena, Darshan Vanjara, Goransh Barde, Aman Raj, Shashank Rawat, Garima Chaubey, Brijesh Kumar, Krishna Pratap Singh:
A Study of Fairness and Bias of Deep Learning Models. 1-7 - Pranshu Jena, Umesh Chandra Pati:
BrainResMambaVision-18 an Transformative Approach for Enhanced Multi-Class Classification. 1-6 - Saarang Arora, Kishor Kumar Kachari, Suyash Gupta, Parth Saarthi, Arpit Kumar Yadav, Salur Srikant Patnaik:
Bringing Llama-3 to the Edge: End-to-End Quantized Conversational AI on Raspberry Pi 5. 1-5 - Mahesh R., J. Preetha, Ajay Surya B., Thamizharasan P.:
Distilling Intelligence: Deploying Lightweight Neural Networks on ESP32 for Edge AI. 1-6 - Jiljo K. Moncy, Dinesh Kumar M.:
Decentralized Fuzzy Logic Formation Control for Multi-Rotor Swarm with Virtual Leader. 1-6 - Ravi Monika Sai, Prajnyajit Mohanty, Umesh Chandra Pati:
EMD Based Hybrid Machine Learning Framework for Solar Energy Forecasting. 1-6 - Bhavya Harini Rudra, Panigrahi Srikanth, Khyathi Sri Nagaveni Kadali:
HUFT-Net: Multi-Modal Approaches for Automated Diagnosis of Respiratory Diseases Using Respiratory Sounds. 1-6 - Mahaboob Khan Pathan, M. Sucharitha:
A Hybrid Deep Learning and Voxel-Based Morphometry Framework for Structural MRI-Based Autism Spectrum Disorder Classification. 1-6 - Shantanu Dhar, Saurav Haldar, Shlok Pete, Roushan Jha, Vinaya Sawant, Sharvari Patil, Neha Agarwal:
Furnit.Ar: AI-Powered Augmented Reality Interior Designing Application. 1-8 - Pratham Bhatia, Ishaan Oberoi, Rohan Kumar Behera, Mehak Gupta, Pranjal Kumar Singh, Anchal Singh, Krishna Pratap Singh:
OPTIMISED DVERGE: Disrupting Adversarial Transferability in Black-Box Attacks. 1-5 - Rambariki Pavan Kumar, Pranshu Jena, Umesh Chandra Pati:
RegUNeXt with Hybrid Attention for Advanced Segmentation for Tumorous Region in Brain Tumor. 1-6 - Prasenjit Betal, Pabitra Mitra, Chittaranjan Mandal, Arindam Dasgupta:
A Multi-Descriptor Framework for Image-Based Genotype Classification in Plants. 1-6 - Rahul Pal, Sanoj Kumar, Gaurav Bhatnagar:
Uncertainty-Aware Brain Tumor Segmentation. 1-6 - Jasjappan Singh, Pramod Maurya, A. S. Gaur, Gaurang Tari, Pratibha Bachhley, Fabian Savio de Sa, Harsh Raj, Yogesh Agarwadekar:
Neural Radiance Fields, Gaussian Splatting and its Applications in Underwater Archaeology. 1-7 - Deepika Gupta, Naveen, Srujal Deepak Pawar:
Enhancing Low-Light Images Using Retinex with Adaptive Gamma and Dark Region Denoising. 1-6 - Satyam Kumar, Swapan Maiti:
Improving Security of LSB Image Steganography for Pixel Locator Sequence Using Cryptographic Techniques with AES. 1-6 - Navya Nelakuditi, BhavanaSree Vemuri, Sravyasree Samhitha Katupalli, Navya Kandula, Uma Sankararao Varri:
Privacy-Preserving Federated Learning for Health Care Data. 1-6 - Abhigyan Roy, Supratick Mandal, Baidurya Debnath, Rohini Basak, Pawan Kumar Singh:
E-Commerce Enhancement Through Intelligent Customer Interaction: Integration of GPT-Powered Chatbot with Sentiment Analysis. 1-6 - Anil Kumar D., Raj Ganesh B., Sathwik K., J. K. S. Kowshik, Lavanya R.:
Classification of Real and AI-Generated Faces for Deception Detection. 1-6 - G. Sravya Sree, D. Naga Lahari, P. Bhavana Gowri, Murla Bhumi Reddy, B. N. Balarami Reddy:
Early Student Dropout Prediction Using GRU-RNN. 1-6 - Vijay Gaikwad, Harshad Sheelwant, Bhavesh Shelke, Shashank Patil, Yashraj Shinde, Abdul Sheikh:
Real-Time Postures Detection and Monitoring at Workplaces Using Pose Estimation. 1-7 - Tameshwari Bande, Ankit Yadav, Dinesh Kumar Vishwakarma:
Evaluating CNNs and Vision Transformers for Brain Tumor Detection: A Trade-Off Between Performance and Computation. 1-7 - Himanshu Sharma, Devanand Padha, Yashwant Singh:
GLoHi-Cap: Gated Multimodal Fusion with Spatial Object Localization for Hindi Image Captioning. 1-6 - Kayongo Johnson Brian, Marvin Muyonga Ogore:
Low-Cost IoT and TinyML for Offline Early Chronic Disease Risk Identification in African Communities. 1-6 - Swagatika Mohapatra, Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Madhumita Panda, Siddharth Singh, Aiman Hasib:
Hyperparameter Tuning of Convolutional Neural Networks Using Lion Optimization Algorithm. 1-6 - Yash Sanjay Sawant, Abhijith Acharya, K. P. Karunakaran:
Dipping Metrology: A Voxel-Based Reconstruction Framework for Arbitrary 3D Objects. 1-5 - Supriyo Chakraborty, Nikhil Pandey, Sanjay Bhargav Dharavath, Aurobinda Routray:
Physics-Informed Sparse Seismic Inversion with Wedgelet-TGV and Hybrid ADMM-ALM-AFISTA Algorithm. 1-6 - Hemant Singh, Tamba Saketh, Vishwanth, Surabhi Pranav, Mohammad Shahnawaz, Manish Kumar:
Efficient Climate Prediction Using Parallel Gaussian Process with Random Fourier Feature-Based Kernel Approximation. 1-6 - Parikshit Saikia:
Improved Anomalous Activity Detection Using Efficient Pre-Processing and ConvLSTM. 1-6 - Chamundeswari K., Avula Uttej Kumar, Sandip Ghosal:
Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna. 1-5 - Prachuit Priyadarshi Sahoo, Dipti Patra:
EnhanceNet: Leveraging Facial, Speech, and Textual Cues for Multimodal Emotion Recognition. 1-6 - Nisha Rathi, Tilak Neema, Shriyash Beohar, Shubhang Chakrawarty, Vinamra Hetawal, Rewa Takzare:
Dak Madad: AI-Powered Platform for Enhancing Postal Operations and Delivery Efficiency. 1-6 - A. Suhani Jain, D. A. Kapilesh, V. Premanand, S. Rajarajeswari:
PSF-Aware Image Deblurring with CBAM-Infused Deep Residual Networks. 1-6 - Amrutha Dilip Kumar, Ponuku Sarah, Moulika A. K., Gunavathi C.:
Enhanced Deep Learning Framework for Alzheimer's Detection Using Attention Mechanism: A Hybrid CNN Approach. 1-6 - Deepika Vatsa, Adhyay Bansal, Hardik Agarwal, Aryan Dhaka:
Multimodal Framework for Explainable Brain Tumor Classification: Integrating Deep Learning and Large Language Models. 1-6 - Karthik Prasad G., Murali Krishna Panthangi:
Enhancing Spatial Reasoning in Vision-Language Models via Monocular Depth Estimation: A Comparative Study on SpatialBench. 1-5 - Lakshmi Priya R. V, Aishwarya N, Satvik Aryan, Umarani Jayaraman:
Facial-Based BMI Estimation for Digital Health Monitoring Using MediaPipe and Meta-Ensemble Learning. 1-6 - Sukanya Das, Debasis Samanta, Monalisa Sarma:
Static Sign Language Recognition via Fusion of Domain-Specific Features and Hybrid Ensemble Learning. 1-6 - Anshita Verma, Akshant Verma, Ram Prakash Sharma:
A Compact Transformer Based Approach for Alzheimer's Disease Diagnosis. 1-6 - Pratul Kumar, Anurag Tiwari, Suvadeep Das, Ashish Tyagi, Ajay Kumar, Shikha Srivastava:
FRCL: A Robust Framework for Continuous Learning and Identity Retention in Face Recognition. 1-6 - Ritik Kumar Pandey, K. V. Sridhar, Vikas Kumar Tiwari:
GPU-Enhanced Lung CT Segmentation via Chan-Vese Model and Multi-Scale Texture Analysis. 1-6 - Marvi Jasrotia, Himanshu Sharma, Ashwani Kumar:
From Images to Insights: A Scientometric Study of Image Captioning Research from 2021 to 2025. 1-6 - Naresh Malothu, SaiKiran Sanjay Mirthipati, Ravi Kumar Jatoth:
Performance Comparison of Real-Time Image Dehazing Using AOD-Net on NVIDIA Jetson Edge Devices. 1-5
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last updated on 2026-06-20 00:07 CEST by the dblp team
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