TilakD

Car-Damage-Analysis-App

Assessing external car damage, i.e., severity and location using Deep Learning and deploy it using flask and tensorflow serving.

Object-detection-and-segmentation-for-self-driving-cars

Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars

2D-Road-Object-Detection

Road Object Detection using Deep Learning, based on tensorflow framework and BDD100k dataset

Monocular-Depth-Estimation-Argoverse

Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m

GazeTracking

👀 Webcam-based Eye Tracking system

Triplet_Loss_Classification

Utilize Triplet Loss and mean shift based calibration for Classification - This project shows a working concept for pose classification

Argoverse-Monocular_depth-dataset-creation

Creation of monocular depth dataset using Argoverse

argoverse-api

Official GitHub repository for Argoverse dataset

Autoencoders

Autonomous-takeoff-and-landing-using-Deep-Reinforcement-Learning

Autonomous takeoff and landing of a Quad-copter using Deep Reinforcement Learning

av2-api

The official GitHub repository for the Argoverse 2 dataset.

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

CenterCLIP

[SIGIR 2022] CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. Also, a text-video retrieval toolbox based on CLIP + fast pyav video decoding.

Deploying-a-Sentiment-Analysis-Model-with-Amazon-SageMaker

Deploying a Sentiment Analysis Model with Amazon SageMaker

Diver-Fatigue-Detection

Drowsiness detection using dlib landmarks

Dog-breed-classifier-CNN-project

Build a pipeline to process real-world, user-supplied images. Given an image of a dog, algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

Drivable-Area_Segmentation

Drivable Area Segmentation using Deep Learning and BDD100k dataset

emoca

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

Face-Generation-using-GANs

Use generative adversarial networks to generate new images of faces.

Face-Recognition-API

Face Recognition app utilizing triplet loss on webcam feed with tensorflow serving

Image-Captioning

Use CNN with LSTM to extract captions for images

Image-Classification-Desktop-Application

Lane-Segmentation

Deep Learning based Lane Segmentation using BDD100K.

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

MeMViT

Code Release for MeMViT Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition, CVPR 2022

MICA

MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]

OneFormer

[Preprint] OneFormer: One Transformer to Rule Universal Image Segmentation, 2022

PRNet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

Recommendations-with-IBM