Goutam Sanyal

National Institute of Technology Durgapur

Papers

Total Citations

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About

Dr. Goutam Sanyal is a computer vision researcher whose work focuses on human-computer interaction, video analysis, and gaze estimation. His research addresses critical challenges in understanding human behavior through visual data, with particular emphasis on first-person activity recognition and facial attention modeling. Dr. Sanyal's most cited work, "PSO based combined kernel learning framework for recognition of first-person activity in a video" (2018, 11 citations), introduces an innovative optimization approach that significantly improves activity recognition in egocentric video streams. His contributions to face detection and visual saliency, notably through "Guiding attention of faces through graph based visual saliency (GBVS)" (2019, 8 citations), advance how machines prioritize facial information in complex scenes. Dr. Sanyal has also made notable strides in gaze estimation with his hybrid approach for eye-center localization using low-cost webcams (2015, 3 citations), a technique with transformative potential for driver monitoring, robotic control, and assistive technologies. His work bridges theoretical computer vision with practical applications, offering cost-effective solutions for real-world human-computer interaction challenges.