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Mosam's Projects

3dlfm icon 3dlfm

Official codebase for 3D-LFM paper. Accepted at CVPR, 2024.

acinoset icon acinoset

Camera calibration & 3D pose estimation tools for AcinoSet

bayesflow icon bayesflow

A library for constructing specialized neural networks for Bayesian parameter inference (invertible networks) and Bayesian model selection (evidential networks).

c_library_v2 icon c_library_v2

Autogenerated message definitions for MAVLink v2.0 from https://github.com/cmu-rasl/mavlink

cc icon cc

Creative Commons copyright license files

clean-fid icon clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

coming-soon icon coming-soon

A Simple yet Modern Coming Soon HTML Template (Single File)

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-nrsfm icon deep-nrsfm

The repository for paper https://arxiv.org/abs/1902.10840

esm_meta_protein icon esm_meta_protein

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

freihand icon freihand

A dataset for estimation of hand pose and shape from single color images.

home_automation_samsung icon home_automation_samsung

- A complete automated smart home-automation system was setup at the laboratory where I worked as an intern, efficiently controlling all the electrical appliances. - Detailed information given on my webpage (URL : www.mosamdabhi.in)

learnable-triangulation-pytorch icon learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

llava icon llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

mbw icon mbw

This work generates 2D and 3D landmark labels from videos with only two or three uncalibrated, handheld cameras moving in the wild. NeurIPS 2022.

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