Chaitali Bhattacharyya
Master Student, Electronics Engineering,
Yeungnam University, South Korea
Bio
Currently a final-year Master's student in Electronics Engineering (Global Korea Scholar 2021) at Yeungnam University and doing research at Advanced Visual Intelligence Lab (AVIL) under Prof. Kim Sungho on Computer vision and AI. I have done an internship under Prof. Xiatian Zhu on Deepfake. Completed my Korean Language course from Kangwon National University. I hold a Bachelor’s degree from Narula Institute of Technology and have prior research experience in geosciences, biomedical engineering, and automation, including a stint as a research intern at DRDO, DRL, under Scientist Dhiraj Dutta.
My current research interests include Generative AI, catastrophic forgetting, 3D vision, and multi-modal learning.
UPDATES ✨✨
Diffusion Deepfake 📤 Submitted
With Prof. Xiatian Zhu
HSU-Net: Attention-based Linear Unmixing Approach for Hyperspectral Unmixing 🔍 Under Review
With Prof. Sungho Kim
Graduating in August 2024 🎓 Upcoming
Completion of MS program
JOURNALS
S-LIGHT: Synthetic Dataset for the Separation of Diffuse and Specular Reflection Images
(with Prof. Sungho Kim)
2024Sensors, 2024, 24(7), 2286
Sangho Jo, Ohtae Jang, Chaitali Bhattacharyya, Minjun Kim, Taeseok Lee, Yewon Jang, Seongryeong Lee, Haekang Song, Hyukmin Kwon Saebyeol Do, Sungho Kim
EGCY-Net: An ELAN and GhostConv-Based YOLO Network for Stacked Packages in Logistic Systems
(with Prof. Sungho Kim)
2024Applied Sciences, 2024. 14(7), 2763
Indah Monisa Firdiantika, Seongryeong Lee,Chaitali Bhattacharyya,Seongryeong Lee Sungho Kim
Black Ice Classification with Hyperspectral Imaging and Deep Learning
(with Prof. Sungho Kim)
2023Applied Sciences, 2023, 13(21), 11977
Chaitali Bhattacharyya, Sungho Kim
Response of Low Latitude Ionization Towards Intense Geomagnetic Storm in 2018
(with Research Scientist Dibyendu Sur)
Proceedings of Industry Interactive Innovations in Science, Engineering & Technology, 2020
Dibyendu Sur, Jasmine Firdaus, Raktima Dutta Chaitali Bhattacharyya, Saptaparna Banerjee, Trisha paul
Approach of Mental State Analysis using EEG
(with Prof. Susmita Das)
International Journal of Scientific and Research Publications, 2020, 10(02)
Chaitali Bhattacharyya, Trisha Paul, Susmita Das
Human Emotion Recognition using GSR and EEG
(with Prof. Susmita Das)
International Journal of Scientific and Research Publications, 2020, 10(05)
Trisha Paul, Chaitali Bhattacharyya, Susmita Das
CONFERENCES
ArUco Marker-Based Automatic Distance and Angle Measurement Using OpenCV
(with Prof. Sungho Kim)
ICROS, 2023
Chaitali Bhattacharyya, Seongryeong Lee, Yewon Jang, Saebyeol Do, Sungho Kim
Survey and Performance Analysis on Point Cloud Classification Models
(with Prof. Sungho Kim)
ICCAS, 2022
Chaitali Bhattacharyya, Seongryeong Lee, Yewon Jang, Saebyeol Do, Sungho Kim
Analysis of Anhedonia disorder using Machine Learning
(with Prof. Bansari Deb Majumder and Prof. Sanghamitra Layek)
DELCON, 2021
Chaitali Bhattacharyya, Bansari Deb Majumder, Sanghamitra Layek
Response of Equatorial Ionization in Indian Longitudes to HSSW Driven Geomagnetic Storm
(with Research Scientist Dibyendu Sur)
IEEE Calcutta Conference, 2020
Dibyendu Sur, Jasmine Firdaus, Trisha Paul, Raktima Dutta, Chaitali BhattacharyyaPREPRINTS
S-LIGHT: Synthetic Dataset for the Separation of Diffuse and Specular Reflection Images
(with Prof. Sangho Kim)
preprints.org, 2023
Sangho Jo, Ohtae Jang, Chaitali Bhattacharyya, Minjun Kim, Taeseok Lee, Yewon Jang, Haekang Song, Hyeokmin Kwon, Saebyeol Do, Sungho KimDiffusion Deepfake
(with Prof. Xiatian Zhu)
arxiv, 2024
Chaitali Bhattacharyya, Hanxiao Wang, Feng Zhang, Sungho Kim, Xiatian Zhu
💡 FUNDED PROJECTS 💡
Ongoing Projects
RLRC Project: About RLRC
Focus on diffusion model, point cloud reconstruction, and continual learning.
Completed Projects
3D Pose Estimation (ETRI, South Korea)
Advanced algorithms for pose estimation from point clouds.
Augmented/Virtual Reality Development (3D Automation and RIS, South Korea)
Collaborative development in AR/VR applications.
Object Detection and Classification (PHA, South Korea)
Enhancing techniques to differentiate highly similar objects. Challenge: Distinguishing similar objects.
3D Measurement Technologies (3D Automation, South Korea)
Improving accuracy in distance and angle detection using 3D ArUco markers. Challenge: Achieving precise calibration and scaling.
Undergrad Project: Automated soil's water level and moisture detection.
Undergrad Project: Smart cattle area using Piezo electric sensor.
Credits: This website was built using Hugo, based on the designs and codes from the repositories of Gautam Rao and Stefanie Stantcheva.