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Rishi Agarwal

3 accepted papers

2024

AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale

ECCV 2024poster

"While reconstructing human poses in 3D from inexpensive sensors has advanced significantly in recent years, quantifying the dynamics of human motion, including the muscle-generated joint torques and external forces, remains a challenge. Prior attempts to estimate physics from reconstructed human po…

Cited by 4SourcePDFScholar
2023

CIRCLE: Capture in Rich Contextual Environments

CVPR 2023poster

Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics-based motion capture systems are not suited for simultaneously capturing human movements and complex scenes. The lack o…

2023

Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search

NeurIPS 2023spotlight

In many search applications related to passage retrieval, text entailment, and subgraph search, the query and each 'document' is a set of elements, with a document being relevant if it contains the query. These elements are not represented by atomic IDs, but by embedded representations, thereby ext…