PhD Students

Gopal Datt Joshi

Areas of Interest: Image Processing and Computer Vision.

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Address: International Institute of Information Technology Gachibowli Hyderbad 500032 India

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

List of Publications

Jayanthi Sivaswamy, S R Krishnadas, Gopal Dutt Joshi, Madhulika Jain, Ujjwal, Syed Tabish A. - Drishit-GS: Retinal Image Dataset for Optic Nerve Head(ONH) Segmentation Proceedings of the IEEE International Symposium on Biomedical Imaging, 29 April-2 May 2014, Beijing, China. [PDF]
K Sai Deepak, Madhulika Jain, Gopal Datt Joshi, Jayanthi Sivaswamy - Motion pattern-based image features for glaucoma detection from retinal images Proceedings of the 8th Indian Conference on Vision, Graphics and Image Processing, 16-19 Dec. 2012, Bombay, India. [PDF]
Gopal Datt Joshi, Jayanthi Sivaswamy, Prashanth R and S R Krishnadas - Detection of Peri-papillary Atrophy and RNFL Defect from Retinal Images Proceedings of International Conference on Image Analysis and Recognition , Aveiro 2012. [PDF]
Gopal Datt Joshi, Rohit Gautam, Jayanthi Sivaswamy and S. R. Krishnadas - Robust Optic Disk Segmentation from Colour Retinal Images Proceedings of Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'10),12-15 Dec. 2010,Chennai, India. [PDF]
K. Sai Deepak, Gopal Datt Joshi and Jayanthi Sivaswamy - Content-Based Retrieval of Retinal Images for Maculopathy Proceedings of Ist ACM International Health Informatics Symposium (IHI'10),pp.135-143,11-12 Nov. 2010,Arlington, VA. [PDF]
Gopal Datt Joshi, Jayanthi Sivaswamy, Kundan Karan, Prashanth R and S.R. Krishnadas - Vessel bend-based cup segmentation in retinal images Proceedings of 20th International Conference on Pattern Recognition (ICPR'10),23-26 Aug. 2010, Istanbul, Turkey. [PDF]
Gopal Datt Joshi, Jayanthi Sivaswamy, Kundan Karan and S.R. Krishnadas - Optic Disk and Cup Cup Boundary Detection Using Regional Information Proceedings of IEEE Internation Symposium on Biomedical Imaging: From Nano to Macro(ISBI'10), pp.948-951, 14-17 April, 2010, Rottendam, Netherlands. [PDF]
Gopal Datt Joshi and Jayanthi Sivaswamy - Colour Retinal Image Enhancement based on Domain Knowledge IEEE Sixth Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP 2008), pp. 591-598, 16-19 Dec,2008, Bhubaneswar, India. [PDF]
Singh J, Joshi GD and Sivaswamy J. - Appearance based Object Detection in Colour Retinal Images Proc. of IEEE International Conference on Image Processing(ICIP),Oct 12-15, 2008,San Diego, USA. [PDF]
Joshi G.D., Gondle V. and Sivaswamy J. - Optic Disk Detection using Topographical Features Proc. of International EURASIP conf. (BIOSIGNAL 2008),Brno (Accepted. [PDF]
Joshi Datt Joshi, Saurabh Garg and Jayanthi Sivaswamy - Script Identification from Indian Documents, Proceedings of IAPR Workshop on Document Analysis Systems (DAS 2006), Nelson, pp.255-267. [PDF]
Saurabh Garg, Jayanthi Sivaswamy and Joshi Datt Joshi - Automatic Drusion Detection from Colour Retinal Images Proc. of Indian Conference on Medical Informatics and Telemedicine(ICMIT), Kharagpur, pp. 84-88, 2006. [PDF]
Gopal Datt Joshi and Jayanthi Sivaswamy - A Computational Model for Boundary Detection, 5th Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, India, LNCS 4338 pp.172-183, 2006. [PDF]
Jayanthi Sivaswamy, Gopal Datt Joshi and Siva Chandra - An Alternative Curvature Measure for Topographics Feature Detection, 5th Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, India, LNCS 4338 pp.228-239, 2006. [PDF]
Gopal Datt Joshi, and Jayanthi Sivaswamy - A Simple Scheme for Contour Detection, Proceedings of International Conference on Computer Vision and Applications (VISAP 2006), Setubal. [PDF]
Gopal Datt Joshi , and Jayanthi Sivaswamy - A Multiscale Approach to Contour Detection, Proceedings of International Conference on Cognition and Recognition ,pp. 183-193, Mysore, 2005. [PDF]

Aniket Singh

Areas of Interest: Computer Vision, Graphics.

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Address: International Institute of Information Technology Gachibowli Hyderbad 500032 India

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Personal Home Page: http://researchweb.iiit.ac.in/~aniket.singh

Publications

Aniket Singh, Anoop M. Namboodiri - Laplacian Pyramids for Deep Feature Inversion Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 03-06 Nov 2015, Kuala Lumpur, Malaysia. [PDF]

Projects

Saurabh Saini

Areas of Interest: Computer Vision, Graphics.

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Address: CVIT, IIIT-H

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Personal Home Page: http://researchweb.iiit.ac.in/~saurabh.saini

Publications

Saurabh Saini and P.J. Narayanan - Semantic Priors for Intrinsic Image Decomposition in 29th British Machine Vision Conference (BMVC), 2018, Newcastle, UK. [PDF]
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]
Saurabh Saini, Parikshit Sakurikar and P. J. Narayanan - Intrinsic image decomposition using focal stacks Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, 2016. [PDF]
Aditya Singh, Saurabh Saini, Rajvi Shah and P. J. Narayanan - Learning to hash-tag videos with Tag2Vec Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, 2016. [PDF]
Aditya Singh, Saurabh Saini, Rajvi Shah and P J Narayanan - From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips 38th German Conference on Pattern Recognition (GCPR 2016) Hannover, Germany, September 12-15 2016. [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

Revanth N.R.

Areas of Interest: Computer Graphics, VR/AR.

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Address: International Institute of Information Technology Gachibowli Hyderbad 500032 India

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Personal Home Page: http://researchweb.iiit.ac.in/~revanth.nr/

Publications

Revanth N.R., P.J. Narayanan - Large-scale Virtual Texturing on a Distributed Rendering System Proceedings of the Fifth National Conference on Computer Vision Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2015), 16-19 Dec 2015, Patna, India. [PDF]
Revanth N R, P J Narayanan - Distributed Massive Model Rendering Proceedings of the 8th Indian Conference on Vision, Graphics and Image Processing, 16-19 Dec. 2012, Bombay, India. [PDF]

Projects

Computational Displays

People Involved :Parikshit Sakurikar, Revanth N R, Pawan Harish, Nirnimesh and P J Narayanan

Displays have seen many improvements over the years but have many shortcomings still. These include rectangular shape, low color gamut, low dynamic range, lack of focus and context in a scene, lack of 3D viewing, etc. We propose Computational Displays, which employ computation to economically alleviate some of the shortcomings of today's displays.

VijayKumar1 Vijay Kumar

Areas of Interest: Computer Vision, Machine Learning.

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Address: CVIT, IIIT-H

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Personal Home Page: https://researchweb.iiit.ac.in/~vijaykumar.r/

Publications

Vijay Kumar, Anoop Namboodiri, Manohar Paluri and C. V. Jawahar - Pose-Aware Person Recognition Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]
Vijay Kumar, R. Raghavendra, Anoop Namboodiri and Christoph Busch - Robust transgender face recognition: Approach based on appearance and therapy factors Identity, Security and Behavior Analysis (ISBA), 2016 IEEE International Conference on. IEEE, 2016. [PDF]
Vijay Kumar R., Anoop M. Namboodiri, C.V. Jawahar - Visual Phrases for Exemplar Face Detection Proceedings of the International Conference on Computer Vision (ICCV 2015), 13-16 Dec 2015, Santiago, Chile. [PDF]
Hiba Ahsan, Vijay Kumar, C. V. Jawahar - Multi-Label Annotation of Music Proceedings of the Eighth International Conference on Advances in Pattern Recognition,04-07 Jan 2015, Kolkata, India. [PDF]
Vijay Kumar, Anoop M. Namboodiri and C.V. Jawahar - Face Recognition in Videos by Label Propogation Proceedings of the 22nd International Conference on Pattern Recognition, 24-28 Aug 2014, Stockholm, Sweden. [PDF]
Vijay Kumar, Harit Pandya and C.V. Jawahar - Identifying Ragas in India Music Proceedings of the 22nd International Conference on Pattern Recognition, 24-28 Aug 2014, Stockholm, Sweden.[PDF]
Shankar Setty, Moula Husain, Parisa Beham, Jyothi Gudavalli, Menaka Kandasamy, Radehsyam Vaddi, Vidyagouri Hemadri, JC Karure, Raja Raju, B.Rajan, Vijay Kumar and C V Jawahar - Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations Proceedings of the IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 18-21 Dec. 2013, Jodhpur, India. [PDF]
Vijay Kumar, Anoop M Namboodiri and C V Jawahar - Sparse Representation based Face Recognition with Limited Labeled Samples Proceedings of the 2nd Asian Conference Pattern Recognition, 05-08 Nov. 2013, Okinawa, Japan. [PDF]
Vijay Kumar, Amit Bansal, Goutam Hari Tulsiyan, Anand Mishra, Anoop M. Namboodiri, C V Jawahar - Sparse Document Image Coding for Restoration Proceedings of the 12th International Conference on Document Analysis and Recognition, 25-28 Aug. 2013, Washington DC, USA. [PDF]

Projects

Pose-Aware Person Recognition

People Involved : Vijay Kumar, Anoop Namboodiri, Manohar Paluri, C. V. Jawahar

Person recognition methods that use multiple body regions have shown significant improvements over traditional face-based recognition. One of the primary challenges in full-body person recognition is the extreme variation in pose and view point. In this work, (i) we present an approach that tackles pose variations utilizing multiple models that are trained on specific poses, and combined using pose-aware weights during testing. (ii) For learning a person representation, we propose a network that jointly optimizes a single loss over multiple body regions. (iii) Finally, we introduce new benchmarks to evaluate person recognition in diverse scenarios and show significant improvements over previously proposed approaches on all the benchmarks including the photo album setting of PIPA.

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