Chandradeep Pokhariya

Indian Institute of Technology Hyderabad

Papers

Total Citations

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About

Chandradeep Pokhariya is a leading researcher in computer vision and graphics, specializing in the intricate dynamics of human-object interaction. His work centers on developing markerless, high-fidelity methods to capture and model how hands grasp objects—a critical challenge for advancing robotics, mixed reality, and biomechanics. Pokhariya’s most notable contribution, "MANUS: Markerless Grasp Capture Using Articulated 3D Gaussians" (2024), introduces a pioneering framework that leverages articulated 3D Gaussian representations to reconstruct precise hand-object contacts without the need for physical markers or cumbersome sensors. This approach overcomes the limitations of traditional skeleton- or mesh-based models, enabling more accurate and realistic capture of complex grasps. Already garnering 17 citations in its first year, MANUS has quickly become a foundational reference in the field. By pushing the boundaries of non-parametric modeling, Pokhariya’s research not only enhances our understanding of dexterous manipulation but also paves the way for more intuitive human-robot collaboration and immersive virtual interactions. His work exemplifies a blend of theoretical rigor and practical innovation, marking him as a rising star in interactive computer vision.