Arun Malik

Papers

Total Citations

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About

Arun Malik is a computer vision researcher whose work focuses on advancing 3D object detection and human-robot collaboration. His highly cited review, "Occlusion Problem in 3D Object Detection: A Review" (2022), systematically addresses one of the field's most persistent challenges—handling occluded objects in three-dimensional space—providing a critical foundation for future algorithmic improvements. Building on this, Malik's 2023 paper "Activity Recognition in Video Frames for Enhancing Human-Robot Collaboration: A Machine Learning Perspective" explores how machine learning can interpret human actions from video to enable safer, more intuitive interactions between people and robots. This research has direct implications for security monitoring, healthcare, and human-computer interaction, where accurate activity recognition is essential. With his work accumulating citations across these interconnected domains, Malik is establishing himself as a contributor to the practical deployment of vision-based systems. His focus on bridging occlusion handling and real-time activity recognition positions him at the forefront of making autonomous systems more perceptive and responsive in dynamic environments.