RajviShahRajvi Shah

Areas of Interest: Computer Vision, Graphics.
 
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Address: CVIT, IIIT-H
 
Phone:
 
Personal Home Page: http://rajvishah.weebly.com/
 

Publications

  • Rajvi Shah, Visesh Chari and P.J. Narayanan - View-graph Selection Framework for SfM European Conference on Computer Vision (ECCV), 2018, Munich, Germany [PDF]

  • Saumya Rawat, Siddhartha Gairola, Rajvi Shah and P.J. Narayanan - Find Me a Sky: A Data-Driven Method for Color-Consistent Sky Search and Replacement International Conference on Multimedia Modeling 2018: 216-228 [PDF]

  • Ishit Mehta, Parikshit Sakurikar, Rajvi Shah, P J Narayanan -  SynCam: Capturing sub-frame synchronous media using smartphones IEEE International Conference on Multimedia and Expo (ICME-2017 ).[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]

  • Rajvi Shah, Vanshika Srivastava, P.J. Narayanan - Geometry-aware Feature Matching for Structure from Motion Applications Proceedings of the IEEE Winter Conferenc on Applications of Computer Vision, 06-09 Jan 2015, Waikoloa Beach, USA. [PDF]

  • Rajvi Shah, Aditya Deshpande, P.J. Narayanan - Multistage SFM: Revisiting Incremental Structure from Motion Proceedings of the International Conference on 3D Vision,08-11 Dec 2014, Tokyo, Japan.[PDF]

  • Rajvi Shah and P.J. Narayanan - Trajectory based Video Object Manipulation Proceedings of IEEE International Conference on Multimedia and Expo (ICME 2011),11-15 July, 2011, Barcelona, Spain. [PDF]

  • Rajvi Shah, P. J. Narayanan and Kishore Kothapalli - GPU-Accelerated Genetic Algorithms Proceedings of The 3rd Workshop on Parallel Architectures for Bio-inspired Algorithms(WPABA) in conjunction with Parallel Architectures for Compilation Techniques (PACT'10),11-15 Sep. 2010,Vienna, Austria. [PDF]

Projects

graphView-graph Selection Framework for Structure from Motion

People Involved : Rajvi Shah, Visesh Chari, and P J Narayanan

View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph. Inconsistent or inaccurate edges can lead to inferior or wrong reconstruction. Most SfM methods remove `undesirable' images and pairs using several fixed heuristic criteria, and propose tailor-made solutions to achieve specific reconstruction objectives such as efficiency, accuracy, or disambiguation.

 

urdu_cnnFind me a sky : a data-driven method for color-consistent sky search & replacement

People Involved : Saumya Rawat, Siddhartha Gairola, Rajvi Shah, and P J Narayanan

Replacing overexposed or dull skies in outdoor photographs is a desirable photo manipulation. It is often necessary to color correct the foreground after replacement to make it consistent with the new sky. Methods have been proposed to automate the process of sky replacement and color correction. However, many times a color correction is unwanted by the artist or may produce unrealistic results.

 

sfm cover Exploiting SfM Data from Community Collections

People Involved : Aditya Singh, Apurva Kumar, Krishna Kumar Singh, Kaustav Kundu, Rajvi Shah, Aditya Deshpande, Shubham Gupta, Siddharth Choudhary and P J Narayanan

Progress in the field of 3D Computer Vision has led to the development of robust SfM (Structure from Motion) algorithms. These SfM algorithms, allow us to build 3D models of the monuments using community photo collections. We work on improving the speed and accuracy of these SfM algorithms and also on developing tools that use the rich geometry present in the SfM datasets.

 

NagendarGattigorlaNagendar G.

Areas of Interest: Computer Vision, Graphics.
 
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
 
Address: CVIT, IIIT-H
 
Phone:
 
Personal Home Page: https://researchweb.iiit.ac.in/~nagendar.g/
 

List of Publications

  • G Nagendar, Digvijay Singh and C. V. Jawahar -  NeuroIoU: Learning a Surrogate Loss for Semantic Segmentation Proceedings of the British Machine Vision Conference, 03-06 Sep 2018, Northumbria[PDF]

  • Nagendar G., C. V. Jawahar -  Fast Approximate Dynamic Wraping Kernals Proceedings of the 2nd IKDD Conferenc on Data Sciences, 18-21 Mar 2015, Bangalore, India.[PDF]

  • Nagendar G, C. V. Jawahar - Efficient Word Image Retrieval using Fast DTW Distance Proceedings of the 13th IAPR International Conference on Document Analysis and Recognition, 23-26 Aug 2015 Nancy, France. [PDF]

  • G Nagendar, Sai Ganesh, Mahesh Goud, C V Jawahar - Action Recognition using Canonical Correlation Kernels The 11th Asian Conference on Computer Vision, 5-9 Nov. 2012, Daejeon, Korea. [PDF]

List of Projects

actionrecognitionAction Recognition using Canonical Correlation Kernels

People Involved :G Nagendar, C V Jawahar

Action recognition has gained significant attention from the computer vision community in recent years. This is a challenging problem, mainly due to the presence of significant camera motion, viewpoint transitions, varying illumination conditions and cluttered backgrounds in the videos. A wide spectrum of features and representations has been used for action recognition in the past. Recent advances in action recognition are propelled by (i) the use of local as well as global features, which have significantly helped in object and scene recognition, by computing them over 2D frames or over a 3D video volume (ii) the use of factorization techniques over video volume tensors and defining similarity measures over the resulting lower dimensional factors. In this project, we try to take advantages of both these approaches by defining a canonical correlation kernel that is computed from tensor representation of the videos. This also enables seamless feature fusion by combining multiple feature kernels.

PritishMohapatra1Pritish Mohapatra

Areas of Interest: Machine Learning, Computer Vision
 
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Address: CVIT, IIIT-H
 
Phone:

 

Personal Home Page: https://sites.google.com/site/pritishmohapatraweb/home

 

Publications

Journal Publication:

Conference Publication:

  • Pritish Mohapatra, C. V. Jawahar and M. Pawan Kumar -  Learning to Round for Discrete Labeling Problems, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2018, 09 - 11 April 2018, Playa Blanca, Lanzarote.[PDF]

  • Pritish Mohapatra, Michal Rolı́nek, C. V. Jawahar, Vladimir Kolmogorov and M. Pawan Kumar -  Efficient Optimization for Rank-based Loss Functions, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 18 - 22 June 2018,Salt Lake City, Utah.[PDF]

  • Pritish Mohapatra, Puneet Kumar Dokania, C.V Jawahar and M. Pawan Kumar - Partial Linearization based Optimization for Multi-class SVM, Proceedings of European Conference on Computer Vision, (ECCV) – Amsterdam, The Netherlands, 2016. [PDF]

  • Mohak Sukhwani, Suriya Singh, Anirudh Goyal, Aseem Behl, Pritish Mohapatra, Brijendra Kumar Bharti, C.V. Jawahar - Monocular Vision based Road Marking Recognition for Driver Assistance and Safety Proceedings of the IEEE Conference on Vehicular Electronics and Safety,16-17 Dec 2014, Hyderabad, India. [PDF]

  • Pritish Mohapatra, C.V. Jawahar and M. Pawan Kumar - Efficient Optimization for Average Precision SVM Proceedings of the Neural Information Processing Systems Foundation,08-13 Dec 2014, Qubec, Canada. [PDF]

Projects

Nataraj Jammalamadaka

Areas of Interest: Computer Vision, Graphics.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
 
Address: International Institute of Information Technology Gachibowli Hyderbad 500032 India
 
Phone:
 
Personal Home Page: http://researchweb.iiit.ac.in/~nataraj.j/
 

Publications

  • Nataraj Jammalamadaka, Andrew Zisserman, C.V. Jawahar - Human Pose Search using Deep Poselets Proceedings of the 11th IEEE International Conference on Automatic Face and Gesture Recognition, 04-08 May 2015, Ljubljana, Slovnia.[PDF]

  • Nataraj Jammalamadaka, Andrew Zisserman and C.V. Jawahar - Human pose search using deep poselets Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on. Vol. 1. IEEE, 2015. [PDF]

  • Digvijay Singh, Ayush Minocha, Nataraj Jammalamadaka and C. V. Jawahar - Real-time Face Detection, Pose Estimation and Landmark Localization Proceedings of the IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 18-21 Dec. 2013, Jodhpur, India. [PDF]

  • Nataraj Jammalamadaka, Ayush Minocha, Digvijay Singh and C V Jawahar - Parsing Clothes in Unrestricted Images Proceedings of the 24th British Machine Vision Conference, 09-13 Sep. 2013, Bristol, UK. [PDF]

  • Digvijay Singh, Ayush Minosha, Nataraj Jammalamadaka and C.V. Jawahar - Near real-time face parsing Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on. IEEE, 2013. [PDF]

  • Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari and C V Jawahar - Video Retrieval by Mimicking Poses Proceedings of ACM International Conference on Multimedia Retrieval, 5-8 June 2012, Article No.34, ISBN 978-1-4503-1329-2, Hong Kong. [PDF]

  • Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari and C V Jawahar - Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators Proceedings of 12th European Conference on Computer Vision, 7-13 Oct. 2012, Print ISBN 978-3-642-33711--6, Vol. ECCV 2012, Part-III, LNCS 7574, pp. 114-128, Firenze, Italy. [PDF]

  • Nataraj Jammalmadaka, Vikram Pudi and C. V. Jawahar - Efficient Search with Changing Similarity Measures on Large Multimedia Datasets Proc. of The International Multimedia Modelling Conference(MMM2007), LNCS 4352, Part-II, PP. 206-215, 2007. [PDF]

  • C. V. Jawahar, Balakrishna Chennupati, Balamanohar Paluri and Nataraj Jammalamadaka, Video Retrieval Based on Textual Queries , Proceedings of the Thirteenth International Conference on Advanced Computing and Communications, Coimbatore, December 2005. [PDF]

Projects

videoprocessing Retrieval from Video Databases

People Involved :Tarun Jain, Anurag Singh Rana, Balakrishna C., Pramod Sankar K., Saurabh Pandey, Balamanohar P., Natraj J.

Digital Libraries of broadcast videos could be easily built with existing technology. The storage, archival, search and retrieval of broadcast videos provide a large number of challenges for the research community. We address these challenges in different novel directions.

 

 

ltl title Content Based Image Retrieval : CBIR

People Involved : Pradhee Tandon, P. Suman Karthik, Natraj J., Dhaval Mehta, E. S. V. N. L. S. Diwakar

We strive to enable machines with subjective perception capabilities at par with human their counterparts, especially with regards to images.

 

 

 

Pramod Sankar

Areas of Interest: Computer Vision, Graphics.
 
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
 
Address: CVIT, IIIT-Hyderabad
 
Phone:
 
Personal Home Page: http://researchweb.iiit.ac.in/~pramod_sankar/
 

Publications

  • Rahul Anand Sharma, Pramod Sankar K., C.V. Jawahar - Fine-Grain Annotation of Cricket Videos Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 03-06 Nov 2015, Kuala Lumpur, Malaysia. [PDF]

  • Udit Roy, Naveen Sankaran, Pramod Sankar K. and C V Jawahar -  Character N-Gram Spotting on Handwritten Documents using Weakly-Supervised Segmentation Proceedings of the 12th International Conference on Document Analysis and Recognition, 25-28 Aug. 2013, Washington DC, USA. [PDF]

  • Shrey Dutta, Naveen Sankaran, Pramod Sankar K and C V Jawahar -  Robust Recognition of Degraded Documents Using Character N-Grams Proceedings of 10th IAPR International Workshop on Document Analysis Systems 27-29 Mar. 2012, ISBN 978-1-4673-0868-7, pp. 130-134, Queensland, Australia. [PDF]

  • Rahul Jain, Pramod Sankar K and C.V. Jawahar - Interpolation Based Tracking for Fast Object Detection in Videos Proceedings of 3rd National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, ISBN 978-0-7695-4599-8, pp.102-105 15-17 Dec. 2011, Hubli, India. [PDF]

  • Sudha Praveen M., Pramod Sankar K., and C.V. Jawahar - Character n-Gram Spotting in Document Images Proceedings of 11th International Conference on Document Analysis and Recognition (ICDAR 2011),18-21 September, 2011, Beijing, China. [PDF]

  • Rahul Jain, Sudha Praveen M., Pramod Sankar K., C.V. Jawahar - An Indexing Approach for Speeding-Up Image Classification Proceedings of Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'10),12-15 Dec. 2010,Chennai, India. [PDF]

  • Pramod Sankar K. - Reverse Annotation based Retrieval from Large Document Image Collections Proceedings of 33rd Annual ACM SIGIR Conference (SIGIR'10), pp.921,19-23 July, 2010, Geneva, Switzerland. [PDF]

  • Pramod Kompalli, C.V.Jawahar and R. Manmatha - Nearest Neighbor based Collection OCR Proceedings of Ninth IAPR International Workshop on Document Analysis Systems (DAS'10), pp. 207-214, 9-11 June, 2010, Boston, MA, USA. [PDF]

  • Pramod Sankar K, C. V. Jawahar and Andrew Zisserman - Subtitle-free Movie to Script Alignment Proceedings of British Machine Vision Conference (BMVC 09), 7-10 September, 2009, London, UK. [PDF]

  • James Philbin, Mihir Jain, Sreekanth Vempati, Pramod Sankar and C.V. Jawahar -Oxford/IIIT TRECVID 2008-Notebook paper TRECVID. 2008. [PDF]

  • Pramod Sankar K and C.V. Jawahar - Probabilistic Reverse Annotation for Large Scale Image Retrieval Proc of IEEE Computer Society Conference on Computer Vision and Pattern Recognition,Minneapolis, Minnesona, 18-23 June, 2007. [PDF]

  • Pramod Sankar K. and C.V. Jawahar - Enabling Search over Large Collections of Telugu Document Images-An Automatic Annotation Based Approach , 5th Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, India, LNCS 4338 pp.837-848, 2006. [PDF]

  • Pramod Sankar K., Saurabh Pandey and C. V. Jawahar - Text Driven Temporal Segmentation of Cricket Videos , 5th Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, India, LNCS 4338 pp.433-444, 2006. [PDF]

  • Pramod Sankar K., Million Meshesha and C. V. Jawahar - Annotation of Images and videos based on Textual Content without OCR, Workshop on Computation Intensive Methods for Computer Vision(in conjuction with ECCV 2006), 2006. [PDF]

  • Pramod Sankar K, Vamshi Ambati, Lakshmi Hari and C. V. Jawahar, - Digitizing A Million Books: Challenges for Document Analysis, Proceedings of Seventh IAPR Workshop on Document Analysis Systems, 2006 (LNCS 3872), pp 425-436. [PDF]

  • Vamshi Ambati, Pramod Sankar, Lakshmi Pratha and C. V. Jawahar - Quality Management in Digital Libraries , Proceedings of the International Conference on Universal Digital Libraries, Oct. 2005. pp 314-321. [PDF]

 

Projects

  • documentRetrieval Retrieval of Document Images

    People Involved : Million Meshesha, Balasubramanian Anand, Pramod Sankar K, Anand Kumar

    Our approach towards retrieval of document images, avoids explicit recognition of the text. Instead, we perform word matching in the image space. Given a query word, we generate its corresponding word image, and compare it against the words in the documents.

     

     

  • videoprocessing Retrieval from Video Databases

    People Involved :Tarun Jain, Anurag Singh Rana, Balakrishna C., Pramod Sankar K., Saurabh Pandey, Balamanohar P., Natraj J.

    Digital Libraries of broadcast videos could be easily built with existing technology. The storage, archival, search and retrieval of broadcast videos provide a large number of challenges for the research community. We address these challenges in different novel directions.

     

     

  • figureFine-Grain Annotation of Cricket Videos

    People Involved : Rahul Anand Sharma, Pramod Sankar K, C. V. Jawahar