Srinath Sridhar Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Assistant Professor

John Brown University

faculty

20 h-index 81 pubs 2,920 cited

Research Areas

3D Shape Modeling and Analysis Human Pose and Action Recognition Hand Gesture Recognition Systems Advanced Vision and Imaging Computer Graphics and Visualization Techniques Human Motion and Animation

Links

ORCID

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OverviewAI-generated summary

Dr. Srinath Sridhar, an Assistant Professor at John Brown University, specializes in advanced vision and imaging techniques, with a focus on 3D shape modeling and analysis. His research encompasses a range of topics, including human pose and action recognition, hand gesture recognition systems, computer graphics, and visualization. Sridhar's work explores the intersection of neural fields and visual computing, as evidenced by recent publications investigating learning-based regular rearrangements of objects and zero-shot generation of high-fidelity shapes from natural language. He also develops methods for self-supervised canonicalization of 3D poses and continuous geodesic convolutions for learning on 3D shapes.

Metrics

  • h-index: 20
  • Publications: 81
  • Citations: 2,920

Selected Publications

  • HFGaussian: Learning Generalizable Gaussian Human with Integrated Human Features (2025) DOI
  • Da-Vil: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control (2025) DOI
  • MotionGlot: A Multi-Embodied Motion Generation Model (2025) DOI
  • UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping (2025) DOI
  • FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation (2025) DOI
  • EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos (2025) DOI
  • GeoDiffuser: Geometry-Based Image Editing with Diffusion Models (2025) DOI
  • Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation (2024) DOI
  • GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields (2024) DOI
  • DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields (2024) DOI
  • Strata-NeRF : Neural Radiance Fields for Stratified Scenes (2023) DOI
  • Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition (2023) DOI
  • LEGO-Net: Learning Regular Rearrangements of Objects in Rooms (2023) DOI
  • Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields (2023) DOI
  • CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language (2023) DOI

Collaborators

Researchers in the database who share publications

Daniel Ritchie John Brown University 7 shared publications Rahul Sajnani John Brown University 7 shared publications Chaerin Min John Brown University 2 shared publications Shiqin Yan John Brown University 2 shared publications Rao Fu John Brown University 2 shared publications Eliot Laidlaw John Brown University 1 shared publication Alexander Meyerowitz John Brown University 1 shared publication Rugved Mavidipalli John Brown University 1 shared publication

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