Sairam V C Rebbapragada

About Me

I am a Ph.D. student in the department of Artificial Intelligence at IIT Hyderabad. I am fortunate to be a part of the Machine Learning and Vision group supervised by Dr. Vineeth N Balasubramanian.

Research Interests

• Computer Vision, Deep Learning, Tiny, Aerial and Oriented Object Detection, Vision-Language Models, Domain Adaptation, Domain Generalisation, Limited Supervision.

Brief objectives of my Research work in PhD:

Aerial vision spans a wide spectrum of critical applications — ranging from agriculture and environmental monitoring to construction, military operations, and search-and-rescue — driving the need for advanced computer vision solutions tailored for aerial perspectives. While this field presents complex challenges such as severe object size imbalances, managing motion and instability, limited computational resources, real-time processing constraints, occlusions and perspective distortions, annotation inaccuracies, and domain shifts, it also offers exciting frontiers for innovation.

I am working to push the boundaries of aerial vision with innovative and practical solutions to tackle these multi-faceted challenges. The aim is to advance computer vision through efficient, adaptable, and reliable methods that promote the adoption of vision systems in real-world applications.

Hobbies:

I enjoy playing badminton, volleyball, table tennis, and carroms in my free time. Cooking is also one of my favorite pastimes. Additionally, I have a talent for whistling songs and playing the cajon.

News

• [Jan. 2025] Excited to join Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, as a visiting student, where I will be working with Dr. Muhammad Haris Khan. Looking forward to a productive and insightful collaboration!
• [Dec. 2024] Selected for a poster presentation at ACM-PIC-2025 at Infosys, Mysore
• [Nov. 2024] Presented a poster at Amazon Research Days 2024, Bangalore
• [Sep. 2024] Thrilled to be selected for a poster presentation at IndoML 2024 at BITS Pilani Goa
• [Sep. 2024] Presented a lightning talk and a poster at the Young Researchers’ Forum on Data and AI for Public Good at IISc Bangalore.
• [July. 2024] Volunteered for code-walthrough in the hands-on session at IIIT Hyderabad’s 8th Summer School on AI with focus on Computer Vision & Machine Learning
• [May. 2024] Delivered an oral presentation at ICRA 2024. Find our paper here
• [Mar. 2024] Honored with the Research Excellence Award at IIT Hyderabad’s 16th Foundation Day. My heartfelt gratitude to Dr. Vineeth N Balasubramanian for his invaluable guidance.
• [Feb. 2024] Participating in Google Research Week 2024
• [Jan. 2024] Happy to share that our paper on Drone-to-Drone Detection using Vision Transformer Networks is accepted for presentation at ICRA 2024.
• [Mar. 2023] Our work titled ‘Do Models see Corruption as we see? An Item Response Theory based study in Computer Vision’ is accepted in PML4DC at ICLR 2023.
• [Jan. 2023] Attending Google Research Week’23 provided an incredible opportunity to meet and learn from some of the most brilliant minds in the field.
• [Dec. 2022] As a student volunteer for the esteemed ACML’22 conference, I had the privilege of interacting with an incredibly talented group of individuals from all around the world.
• [Aug. 2022] Happy to share that our paper on tackling the severe size imbalance in aerial object datasets got accepted in WACV 2023
• [Nov. 2020] Honoured to be awarded with a gold medal for academic excellence in Computer Science at IIIT, Tiruchirappalli

Publications

Services

Research venues attended:

• [Sep. 2024] Young Researchers’ Forum on Data and AI for Public Good, a spotlight event in the Symposium on Data for Public Good at IISc Bangalore
• [July. 2024] IIIT Hyderabad’s Summer School on AI with a focus on Computer Vision & Machine Learning
• [May. 2024] IEEE International Conference on Robotics and Automation (ICRA) 2024
• [Feb. 2024] Google Research week 2024
• [Jan. 2023] Google Research week 2023
• [Dec. 2022] Asian Conference on Machine Learning (ACML) 2022