MS Students

Mallikarjun B R

Areas of Interest: Machine Learning, Computer Vision

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Address: CVIT, IIIT-H

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Personal Home Page: https://researchweb.iiit.ac.in/~mallikarjun.br/

Publications

Mallikarjun B R, Visesh Chari, C. V. Jawahar , Akshay Asthana - Face Fiducial Detection by Consensus of Exemplars Proceedings of the IEEE Winter Conference on Applications of Computer Vision(WACV), 2016. [PDF]
Mallikarjun B.R., C.V. Jawahar - Efficient Face Frontalization in Unconstrained Images Proceedings of the Fifth National Conference on Computer Vision Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2015), 16-19 Dec 2015, Patna, India.

Projects

Face Fiducial Detection by Consensus of Exemplars

People Involved : Mallikarjun B R, Visesh Chari, C. V. Jawahar , Akshay Asthana

An exemplar based approach to detect the facial landmarks. We show that by using a very simple SIFT and HOG based descriptor, it is possible to identify the most accurate fiducial outputs from a set of results produced by regression and mixture of trees based algorithms (which we call candidate algorithms) on any given test image. Our approach manifests as two algorithms, one based on optimizing an objective function with quadratic terms and the other based on simple kNN.

Koustav Mullick

Areas of Interest: Using Deep Learning for Multi-modal Gesture Recognition, Machine Learning

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Address: CVIT, IIIT-H

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Personal Home Page: https://researchweb.iiit.ac.in/~koustav.mullick/

Publications

Koustav Mullick and Anoop M. Namboodiri - Learning Deep and Compact Models for Gesture Recognition 2017 IEEE International Conference on Image Processing, Beijing, China. [PDF]

Projects

Karthik Gopinath

Areas of Interest: Medical Image Processing

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Address: CVIT, IIIT-H

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Personal Home Page: https://sites.google.com/site/karthikharitz/

Publications

Karthik G, Rangrej S and Jayanthi Sivaswamy - A deep learning framework for segmentation of retinal layers from OCT images ACPR, Nanjing [PDF]
Karthik Gopinath, Jayanthi Sivaswamy and Tarannum Mansoori - Automatic Glaucoma Assessment from Angio-OCT Images Proc. of IEEE International Symposium on Bio-Medical Imaging(ISBI), 2016, 13 - 16 April, 2016, Prague. [PDF]

Projects

Medical Image Processing

People Involved : Gopal Datt Joshi, Mayank Chawla, Arunava Chakravarty, Akhilesh Bontala, Shashank Mujjumdar, Rohit Gautam, Subbu, Sushma

Digital medical images are widely used for diagnostic purposes. Our goal is to develop algorithms for medical image analysis focusing on enhancement, segmentation, multi-modal registration and classification.

Jitendra Yasaswi Bharadwaj K

Areas of Interest: Machine Learning, Deep Learning, Mathematical Optimization

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Address: CVIT, IIIT-H

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Personal Home Page: https://researchweb.iiit.ac.in/~jitendra.katta/

Publications

Jitendra Yasaswi, Suresh Purini and C. V. Jawahar - Plagiarism detection in Programming Assignments Using Deep Features 4th Asian Conference on Pattern Recognition (ACPR 2017), Nanjing, China, 2017.[PDF]
Jitendra Yasaswi Bharadwaj katta, Srikailash G, Anil Chilupuri, Suresh Purini and C.V. Jawahar - Unsupervised Learning Based Approach for Plagiarism Detection in Programming Assignments ISEC. 2017. [PDF]

Projects

Gaurav Mishra

Areas of Interest: Computer vision

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Address: CVIT, IIIT-H

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Personal Home Page: http://researchweb.iiit.ac.in/~gaurav.mishra/

Publications

Gaurav Mishra, Saurabh Saini, Kiran Varanasi P.J. Narayanan - Human Shape Capture and Tracking at Home IEEE Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, CA, USA, 2018. [PDF]

Projects

Human Shape Capture and Tracking at Home

People Involved : Gaurav Mishra, Saurabh Saini, Kiran Varanasi and P.J. Narayanan

Human body tracking typically requires specialized capture set-ups. Although pose tracking is available in consumer devices like Microsoft Kinect, it is restricted to stick figures visualizing body part detection. In this paper, we propose a method for full 3D human body shape and motion capture of arbitrary movements from the depth channel of a single Kinect, when the subject wears casual clothes

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