Shriya T. P. Gupta
Papers
1
Total Citations
9
H-Index
1
About
Shriya T. P. Gupta is a researcher advancing the frontier of 3D human pose estimation, with a focus on integrating multimodal sensing for robust, real-world applications. Her key research areas include computer vision, sensor fusion, and autonomous systems, where she tackles the challenge of accurately capturing human motion in uncontrolled environments. Her most notable contribution, the paper "HPERL: 3D Human Pose Estimation from RGB and LiDAR" (2021, 9 citations), pioneers a novel approach that combines standard RGB cameras with LiDAR data—a departure from prevailing RGB-only or RGB-D methods. This work addresses critical limitations in existing techniques, which often fail in complex outdoor settings or under poor lighting, by leveraging LiDAR’s depth precision. The impact of her research extends to fields like animation, action recognition, and autonomous driving, where intention prediction relies on reliable pose estimation. By bridging the gap between laboratory-grade accuracy and in-the-wild robustness, Shriya’s work is laying the groundwork for safer, more perceptive autonomous systems and interactive technologies.
Research Focus
Key Achievements
Top Papers
- 1HPERL: 3D Human Pose Estimation from RGB and LiDAR9 citations · 2021