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Bharti's Projects

cancermetastasisdetection_2015 icon cancermetastasisdetection_2015

This project was done as part of Camelyon16 challenge (http://camelyon16.grand-challenge.org/home/) . Details of this work can be found here: https://www.dropbox.com/s/8yhq7bq57n1v317/Cancer_Metastasis.pdf?dl=0 and https://www.dropbox.com/s/gk50i9zorua6kyj/Cancer_Metastasis_Report.pdf?dl=0

lanedetection_2015 icon lanedetection_2015

This project was done as part of seminar IN4804 ( https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950185220&pSpracheNr=1&pMUISuche=FALSE). The project aims to detect lanes using camera inputs for autonomous driving.

models icon models

Models and examples built with TensorFlow

objectdetection icon objectdetection

This work was done as part of my thesis at Technical University of Munich. The goal of this thesis was to do object detection using Fully Convolutional Network. Full Report of this work can be found here: https://www.dropbox.com/s/hq5y2vxqo0r0ddn/ObjectDetectionThesisReport.pdf?dl=0

open-reid icon open-reid

Open source person re-identification library in python

person_reid_baseline_pytorch icon person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

person_search icon person_search

Joint Detection and Identification Feature Learning for Person Search

photogoalnavigation_2015 icon photogoalnavigation_2015

Vision based target navigation for Parrot AR DRONE. Uses epipolar geometry methods to compute the target position of the quadcopter based on the current location and target image provided.

visionbasednavigationassignments_2015 icon visionbasednavigationassignments_2015

These assignments were done as part of practical IN4174 (https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950246448&pSpracheNr=2&pMUISuche=FALSE)

westnilevirusprediction_2015 icon westnilevirusprediction_2015

This was done for a data mining competition at Kaggle (https://www.kaggle.com/c/predict-west-nile-virus). Final rank was 385 out of 1300 participants.

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