K. Chandra Sekar

National Institute Of Technology Silchar

Papers

Total Citations

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About

Dr. K. Chandra Sekar is a leading researcher in computer vision and video understanding, with a primary focus on advancing object detection in dynamic environments. His most impactful work introduces Spatio-Temporal Transformers, a novel architecture that leverages temporal coherence across video frames to overcome persistent challenges like motion blur, occlusions, and viewpoint changes—limitations that traditional image-based models fail to address. By integrating spatial and temporal attention mechanisms, his approach significantly improves detection accuracy and robustness in real-world video streams. This pioneering contribution has already garnered early citations, reflecting its promise for applications in autonomous driving, surveillance, and activity recognition. Dr. Sekar’s research bridges the gap between static image analysis and temporal reasoning, setting a new benchmark for video-level perception. His work not only advances theoretical understanding but also offers practical solutions for systems requiring reliable real-time object tracking. With a growing citation footprint and a focus on transformative transformer-based methods, Dr. Sekar continues to shape the future of intelligent video analytics, making him a key figure to watch in the evolving landscape of spatio-temporal AI.