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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
Research Assistant
Agile Robotics and Perception Lab, New York University, New York, USA [2024/09 - 2025/06]
Worked on adaptive keyframe selection for dynamic scene reconstruction using transformer-based architecture.
Research Associate
Computational Imaging Lab, IIT Madras, Chennai, India [08/2023 - 06/2024]
Developed a cross-attention network for low-light image enhancement using thermal guidance for autonomous systems.
Founding Machine Learning Intern
Seisei.ai, Jaipur, India [04/2023 - 06/2023]
Worked on video transformation using Generative AI technologies with face landmark detection and voice enhancement.
Mitacs Globalink Research Intern
Dalhousie University, Halifax, Canada [07/2022 - 10/2022]
Worked on health variable classification model using variational autoencoder and RNN on longitudinal aging data.
Applied Research Fellow
Centre of Visual Information Technology Lab, IIIT Hyderabad, Hyderabad, India [01/2022 - 06/2022]
Developed vehicle light detection and classification system for Indian Driving Dataset.
Research Intern
Centre of Artificial Intelligence and Robotics, DRDO, Bengaluru, India [07/2021 - 12/2021]
Developed a pedestrian detection and path prediction system for autonomous vehicles.
publications
Prediction of Bankruptcy of a company using machine learning techniques
Published in International Conference on Electronics and Sustainable Communication Systems (ICESC), 2022
V. Kothuru, R. K. Jha, S. Ranjit, B. V. Kumar Reddy, S. Roy, and S. Sudheer
Paper
Age and Gender Recognition Using Convolutional Neural Network
Published in International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 2023
Raman K Jha, Deepak Kumar, S Kumar, Arsad Ali, P Patil
Paper
Detection of Vehicle Lights and Classification of Its State
Published in International Conference on Advanced Computing Technologies and Applications (ICACTA), 2023
A Contrastive Meta-learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning
Published in International Conference on Computing, Communication and Learning(CoCoLe), 2024
Dhruv Dixit, Paritosh Pandey, Raman Jha, Pranshul Bhatnagar, Shashank Mouli Satapathy
Paper
RT-X Net: RGB-Thermal Cross Attention Network for Low-Light Image Enhancement
Published in International Conference on Image Processing (ICIP), 2025
Raman Jha, Adithya Lenka, Mani Ramanagopal, Aswin Sankaranarayanan, Kaushik Mitra
Paper | Code | Website | Slides
Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments
Published in Under Review, 2025
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
410242, Machine Learning
Undergraduate Course, Savitribai Phule Pune University, Pune, India [2023-01-15 - 2023-05-15]
Assisted students and answered questions on Sodl.
Graded assignments and exams for machine learning.
Discussed and mentored students for their course projects and hackathons.
EE 5178, Modern Computer Vision
Graduate Course, Indian Institute of Technology, Madras, Chennai, India [2024-01-25 - 2024-05-20]
Conducted tutorial classes on the basics of programming and deep learning.
Held office hours and answered questions on Moodle.
Evaluated assignments and projects for modern computer vision.
Discussed and Mentored students for their course projects, competitions, and hackathons.
CBE-UY 2233, Chemical Engineering Computation
Undergraduate Course, New York University, New York, USA [2025-01-23 - 2025-05-15]
Assisted students with their homework, assignments, and in-class doubts on Python programming.
Held office hours and guided students in their course homework and quizzes.
Graded homeworks, quizzes, and midterms for Chemical Engineering Computation on Brightspace.
ME-GY 7863A, Physics-Informed Machine Learning
Graduate Course, New York University, New York, USA [2025-01-23 - 2025-05-15]
Mentored students with their homework, quizzes, and projects for the course.
Evaluated assignments, quizzes, and midterms on Brightspace.
Held office hours and tutorial sessions for the students in Physics-Informed Machine Learning.
Guided students with their doubts regarding the class materials and problems on Piazza.
ECE-GY 9193, Advanced Topics in Computer Vision
Graduate Course, New York University, New York, USA [2025-09-02 - 2025-12-15]
Assisted students with the presentation, paper reviews, queries, and projects.
Conducted office hours for the students to help them with their projects in Computer Vision.
Graded presentation, paper reviews, and projects for the course on Brightspace.