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Project and Publications of Raman Classes (2015-2017)

 

Project areas

  • Machine Learning
  • Computer Vision and Image processing
  • Data Analytics
  • Natural Language processing

 

Interesting Projects

  • Indian Sign Language Recognition
  • A human-elephant collision detection system
  • Analysis of social media data
  • Natural Calamities detection system
  • Indian Dance form recognition from videos
  • Recognizing developmental disorder

 

Publications

2015

  • “A DTW and Fourier Descriptor based approach for Indian Sign Language Recognition” Shukla, A.Garg, K.Sharma and A.Mittal. International Conference on Image Information Processing and IEEE Xplore.

 

  • “A vision-based human-elephant collision detection system.” Dua, P.Shukla, and A.Mittal. International Conference on Image Information Processing and IEEE Xplore.

 

  • “Indian Sign Language gesture classification as single or double handed gestures”.Shrinet, S.Arora,  P.Shukla, and A.Mittal. International conference on Image Information Processing and IEEE Xplore

 

2016

 

 

 

  • “Sign language recognition from depth data via ensemble of neural network”. Goyal P. Shukla, P. Singh, B.Raman and A. Mittal , in Journal of Machine Vision and Applications, Springer.
  • “Sentiment analysis of top colleges in India using Twitter data”

N Mamgain, E Mehta, A Mittal, G Bhatt in  Computational Techniques in Information    and Communication Technologies (ICCTICT), 2016 International Conference

 

  • “Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service”. Agarwal, B. Gupta, G. Bhatt, and A. Mittal. InProceedings of the 7th Forum for Information Retrieval Evaluation, pp. 35-38. ACM, 2015.

 

 

 

  • Mimic: A gesture control robotic arm using polynomial regression Shukla, B. Gupta, S. Bisht, H. Tripathi and A. Mittal. 3rd international conference on Signal Processing and Integrated Networks (SPIN), and IEEE Xplore

 

  • “K-nearest correlated neighbor classification for Indian Sign Language using feature fusion”. Gupta, P. Shukla and A. Mittal. International Conference on Computer Communication and Informatics (ICCCI) and IEEE Xplore.

 

  • “A laughter detection system for the hearing and speaking impaired” P. Shukla, P. Langer, S.Sharma, P. Bhatt, A.Mittal. Submitted to the the IEEE transactions of Affective Computing.

 

  • “A computer vision approach for detecting and preventing human elephant collisions. “ Shukla, I.Dua, A. Mittal and B. Raman.  IEEE  Conference on  Computer Vision(ICCV), Workshop on Visual Wildlife Monitoring (VWM), Venice, Italy.

 

2017

  • “A Deep learning hybrid CNN framework approach for vegetation cover mapping using deep features” Nijhawan ,H. Sharma, H. Sahni, A. Batra In the 13th International Conference on Signal Image Technology and Image Based Systems (SITIS) 2017,IEEE, Jaipur India.
  • “ ISL gesture recognition using multiple feature fusion” R.Bora, A. Bisht, A. Saini ,T. Gupta, A. Mittal in WISPNET 2017

 

  • “A Novel Deep learning Framework for natural calamities detection”Nijhawan, M. Rishi, A. Tiwari, R. Dua in ICTCS 2017

 

  • “Classification and aesthetic evaluation of painting and artworks”                                                                                        T.Sahu, A. Tyagi, S. Kumar, A. Mittal In the 13th International Conference on Signal Image Technology and Image-Based Systems (SITIS) 2017, IEEE, Jaipur India.

 

  • “An Integrated Deep Learning Framework Approach for Nail Disease Identification.”
    Nijhawan, R. Verma, Ayushi, S.Bhushan, R. Dua, A. Mittal In the 13th International Conference on Signal Image Technology and Image Based Systems (SITIS) 2017,IEEE, Jaipur India

 

  • “A deep learning framework for recognizing developmental disorder”  Shukla, T. Gupta, A. Saini, P. Singh and B. Raman. In the IEEE Winter Conference on Applications of Computer Vision(WACV), Santa Rosa CA.

 

  • “A computer vision framework for automatic detection of Indian monuments.”  Shukla, B. Rautela, A. Mittal . In the 13th International Conference on Signal Image Technology and Image Based Systems (SITIS) 2017,IEEE, Jaipur India.
  • “Indian Dance form recognition from videos“.A. Bisht,  R. Bora, G. Kumar, P. Shukla and B. Raman In the 13th International Conference on Signal Image Technology and Image Based Systems (SITIS) 2017,IEEE, Jaipur India.

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