Hi, I'm Vamshi krishna Graduate student from SNIST, Post-Grad student MASTER OF SCIENCE BY RESEARCH IIIT Bangalore.
Hi, I'm Vamshi krishna Graduate student from SNIST, Post-Grad student MASTER OF SCIENCE BY RESEARCH IIIT Bangalore.
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Experience
VAL Lab,IISc, Project Scientist
• Developed lightweight deep learning models with attention mechanisms for medical applications, enhancing brain image super-resolution for improved diagnostic accuracy.
Centre for Brain Research,IISc, Senior Project Associate
• Developed deep learning models for dementia detection, age prediction, and brain image super-resolution using CNNs, GANs, and (ViT) Transformers.
Project Assistant at IIT Hyderabad (Sep2020 - june2021) :Worked on Low cost designs and manufacture of Indigenous 24GHZ and 77GHZ retrofit table Automotive Radar for Road safety and Monitoring driving behaviour.
Internship
Classification of Slit lamp Images at IIT Hyderabad in collaboration with LV Prasad Eye Institute (May-july 2018)
Publications
• “YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition.” Proceedings of the Third International Conference on AI-ML Systems, 2023.
• “An Automotive Radar Dataset For Object Classification.” In ICASSP 2023 – IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1–5. IEEE, 2023.
• “Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision.” In TENCON 2023 – IEEE Region 10 Conference. IEEE, 2023.
• “Detecting Linear Block Codes via Deep Learning.” In 2023 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6. IEEE, 2023.
• “YOLOv5-based Detection and Classification of Early and Late Mild Cognitive Impairment through Corpus Callosum Analysis.” Accepted at Alzheimer’s Association International Conference.
• “Contextual Corpus Callosum Analysis for Differentiating Early and Late Mild Cognitive Impairment" Accepted at - 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2025
• “Interpretable Simultaneous Localization of MRI Corpus Callosum and Classification of Atypical Parkinsonian Disorders Using YOLOv5.” arXiv preprint arXiv:2306.00473 (2023), abstract accepted at Cyber-Physical Systems Summit, IIT Kharagpur 2023.
• “NTIRE 2021 Multi-modal Aerial View Object Classification Challenge.” Method featured in NTIRE 2021 – CVPR Workshop (Leaderboard Position: Top 9th).
Projects
1.Multi-modal Aerial View Object Classification Challenge-CVPR Workshop (Top 9th rank in the competition) link
• Personalized Telugu-English Chatbot: Fine-Tuning DialoGPT for Hybrid Conversations Developed a TeluguEnglish chatbot using DialoGPT, fine-tuned on a custom dataset for context-aware, bilingual conversations. The chatbot leverages custom tokenization to preserve Telugu phrases in English, ensuring accurate responses. Deployed with a Streamlit frontend and Flask API.
•MedQuAD Chatbot for Medical Question Answering Created an AI-powered chatbot using the MedQuAD dataset to answer medical questions accurately and conversationally. Fine-tuned the DialoGPT model and built a dynamic web interface with Streamlit for seamless user interaction.
• Object Detection System Using YOLOv7 for Real-time CCTV Monitoring Developed a real-time object detection system using YOLOv7 to detect specific objects. Stored detected objects and metadata in a structured JSON file for further analysis.
• Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet B7 for Improved VCE Classification Developed a self-supervised AI model combining U-Net-based masked autoencoders and EfficientNet B7 to classify gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) video frames.
CVPR WORKSHOP
Certified Coursera & Great Learnings Courses
Get in touch at [krishnaedit3@gmail.com]
Get in touch at [krishnaedit3@gmail.com]
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