skumarlabs

Surendra Kumar's repositories

awesome-deep-vision

A curated list of deep learning resources for computer vision

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Blender-FLIP-Fluids

FLIP Fluids is a powerful liquid simulation plugin that gives you the ability to create high quality fluid effects all within Blender, the free and open source 3D creation suite.

Language:C++GPL-3.0010

DataflowTemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

Language:JavaApache-2.0010

leetcode-submissions

Contains my submissions for LeetCode (https://leetcode.com)

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LLV

CLI tool for recording or replaying Epic Games' live link face capture frames.

BSD-2-Clause000

MB-Lab

MB-Lab is a character creation tool for Blender 2.80+, based off ManuelBastioniLAB

Language:PythonNOASSERTION010

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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ml-resources

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MocapNET

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

Language:C++NOASSERTION010