Kaustav Kundu

Kaustav Kundu is a Senior Applied Scientist at Amazon AWS AI, specializing in computer vision and machine learning.2 Here are some key details about his background and expertise:

Education

Kaustav holds impressive academic credentials:

• Doctor of Philosophy (PhD) in Computer Vision and Machine Learning from the University of Toronto
• Master of Science (MS) in Computer Vision and Machine Learning from the Toyota Technological Institute at Chicago
• Bachelor of Technology (B.Tech.) Honors in Computer Science and Engineering from the International Institute of Information Technology

Professional Experience

Current Role:: Senior Applied Scientist at Amazon AWS AI2

Prior to his current position, Kaustav has held several research-oriented roles:

• Research Scientist at Amazon1
• PhD Student at the University of Toronto
• Research Intern at Apple

Research Interests

Kaustav's research interests lie broadly in the fields of computer vision and machine learning.1 Some specific areas he has worked on include:

• Visual scene understanding
• 3D scene understanding
• Combining geometric priors and semantic information
• Building efficient temporal representations across multiple cameras for real-time applications1

Publications

Kaustav has authored and co-authored numerous research papers in prestigious conferences and journals such as CVPR, NeurIPS, ECCV, and IROS.1 His work covers topics like:

• Object detection and pose estimation
• Optical flow
• Semantic segmentation
• Weakly supervised learning

Kaustav Kundu's extensive academic background and research experience in computer vision and machine learning make him a valuable contributor to Amazon's AI initiatives.