maheshkkumar

adacrowd

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting (TMM 2021)

Continual-Learning-Papers

DLClustering

Deep Latent Feature Unsupervised Learning

DPR

Code for Deep Single-image Portrait Image Relighting

fscc

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning (WACV 2020)

interview-with-python

The ultimate in python interview preparation and coding practice.

multiclass-classification

od_pipeline

Object detection pipeline using TensorFlow API

Python-Data-Visualization

VTU-FS-PROGRAMS

This repository contains all the File Structures Lab Programs for Information Science & Engineering branch of all the VTU affiliated and non-autonomous colleges.

maheshkkumar/fscc

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning (WACV 2020)

maheshkkumar/adacrowd

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting (TMM 2021)

maheshkkumar/DLClustering

Deep Latent Feature Unsupervised Learning

maheshkkumar/DPR

Code for Deep Single-image Portrait Image Relighting

maheshkkumar/od_pipeline

Object detection pipeline using TensorFlow API

maheshkkumar/AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

maheshkkumar/BoostingMonocularDepth

maheshkkumar/di2l

maheshkkumar/DiverseDepth

The code and data of DiverseDepth

maheshkkumar/DPT

Dense Prediction Transformers

maheshkkumar/estimate_illum

maheshkkumar/functional_scripts

maheshkkumar/I2L-MeshNet_RELEASE

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

maheshkkumar/idr

maheshkkumar/maheshkkumar.github.io

Personal Website

maheshkkumar/Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

maheshkkumar/MC_depth

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

maheshkkumar/MegaDepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

maheshkkumar/MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

maheshkkumar/MVSDF

Learning Signed Distance Field for Multi-view Surface Reconstruction

maheshkkumar/NDC

PyTorch implementation of Neural Dual Contouring.

maheshkkumar/neurecon

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

maheshkkumar/omnidata

maheshkkumar/QPPNet

maheshkkumar/RAFT

maheshkkumar/StructureGuidedRankingLoss

Structure-Guided Ranking Loss for Single Image Depth Prediction

maheshkkumar/VNL_Monocular_Depth_Prediction

Monocular Depth Prediction

maheshkkumar/WSVD

testing code for ``Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes''

maheshkkumar/yaksoy.github.io

maheshkkumar/YouTube3D

Code for the CVPR 2019 paper "Learning Single-Image Depth from Videos using Quality Assessment Networks"