Amlan Basu

Papers

Total Citations

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About

Amlan Basu is a researcher at the forefront of computer vision and affective computing, with a particular focus on human emotion recognition from video data. His most-cited work, "Human Emotion Recognition in Video Using Subtraction Pre-Processing" (2019, 19 citations), introduces a novel image pre-processing technique that enhances feature clarity, significantly improving the performance of deep learning models in this domain. This contribution addresses a critical challenge in affective computing: the reliable extraction of emotional cues from dynamic visual input. By demonstrating how a simple yet effective pre-processing step can boost the accuracy of deep neural networks, Basu has provided a valuable tool for researchers working on human-computer interaction, mental health monitoring, and autonomous systems. His work underscores the importance of data preparation in achieving state-of-the-art results, bridging the gap between traditional machine learning and modern deep learning approaches. With a growing citation footprint, Basu is establishing himself as a thoughtful contributor to the field, offering practical solutions that advance the robustness and applicability of emotion recognition technologies.