Umar Iqbal (umariqb)

umariqb

Geek Repo

Company:NVIDIA

Location:San Francisco Bay Area

Home Page:www.umariqbal.info

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Umar Iqbal's repositories

vae-hands-3d

Code to evaluate model of paper "Cross-modal Deep Variational Hand Pose Estimation"

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3D-Machine-Learning

A learning resource repository for 3D machine learning

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awesome-human-pose-estimation

Human Pose Estimation Related Publication

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char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

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coco-analyze

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

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CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution

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EpipolarPose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (accepted to CVPR2019)

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integral-human-pose

Integral Human Pose Regression

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mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

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MiDaS

Code for robust monocular depth estimation described in "Lasinger et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer, arXiv:1907.01341"

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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mmdetection

Open MMLab Detection Toolbox with PyTorch

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models

Models built with TensorFlow

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openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

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poseval

Evaluation of multi-person pose estimation and tracking

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pytorch-deform-conv

PyTorch implementation of Deformable Convolution

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pytorch-yolo2

Convert https://pjreddie.com/darknet/yolo/ into pytorch

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pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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StyleGAN-Human

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

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VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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