Journal

• S. Gupta, A. Karanath, K. Mahrifa, A.D. Dileep, V. Thenkanidiyoor, “Segment-level probabilistic sequence kernel and segment-level pyramid match kernel based extreme learning machine for classification of varying length patterns of speech", in International Journal on Speech Technology (IJST), vol 22, December 2018.

• S. Gupta, K. Sharma, A.D. Dileep, V. Thenkanidiyoor, "Visual Semantic-based Representation Learning using Deep CNNs for Scene Recognition", accepted in ACM Transactions on Multimedia Computing, Communications, and Applications, November 2020.

• S. Gupta, A.D. Dileep, V. Thenkanidiyoor, "Recognition of varying size scene images using semantic analysis of deep activation map", in Machine Vision and Applications, vol 32, March 2021.

Conference

• M. Krishna, S. Gupta, A.D. Dileep, P. Rajan "Noise-robust spoken language identification using language relevance factor based embedding", IEEE Spoken Language Technology Workshop (SLT 2021)". [Oral presentation].

• S. Gupta*, K. De*, A. D. Dileep and T. Veena, "Emotion Recognition from Varying Length Patterns of Speech using CNN-based Segment-Level Pyramid Match Kernel based SVMs", National Conference on Communications (NCC 2019), Indian Institute of Sciences, Bangalore, India. [Oral presentation].

• Monika Sharma, Shikha Gupta, Arindam Chowdhury and Lovekesh Vig, "ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks", IJCNN, Budapest, 2019. [Poster presentation].

• K. Sharma, S. Gupta, A.D Dileep, R. Rameshan, "Scene Image Classification using Reduced Virtual Feature Representation in Sparse Framework", ICASSP 2018 Calgary, Alberta, Canada. [Poster presentation].

• S. Gupta, D. Kumar, A. D. Dileep, and T. Veena, "Deep Spatial Pyramid Match Kernel for Scene Image Classification", International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018) Portugal. [Oral presentation].

• S. Gupta, Veena T, and A. D. Dileep, " Deep CNN based Pseudo-concept Selection and Modeling for Generation of Semantic Multinomial Representation of Scene Images", accepted in YRS, (CODS-COMAD 2018), Goa, India [].

• Deepak Kumar, S. Gupta, T. Veena, and A. D. Dileep, " Semantic Multinomial Representation for Scene Images using CNN-based Pseudo-concepts and Concept Neural Network", National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2017) IIT Mandi H.P, India. [Oral presentation].

• S. Gupta, A. D. Dileep, and T. Veena, "The Semantic Multinomial Representation of Images Obtained Using Dynamic Kernel Based Pseudo-concept SVMs", National Conference on Communications (NCC 2017), IIT Madras, India. [Oral presentation].

• S. Gupta, A. D. Dileep and T. Veena, "Segment-Level Pyramid Match Kernels for the classification of varying length patterns of speech using SVMs", European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary. [Oral presentation].

• S. Gupta, T. Veena and A. D. Dileep, "Segment-Level Probabilistic Sequence Kernel based Support Vector Machines for Classification of Varying Length Patterns of Speech" , International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan. [Oral presentation].

Book Chapter

• S. Gupta, M. Mangal, A. Mathew, A. D. Dileep, A. Bhavsar, T. Veena. "CNN-based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images". In: De Marsico M., di Baja G., Fred A. (eds) Pattern Recognition Applications and Methods, 2018. (Revised selected papers from ICPRAM 2018) (Accepted).

Extended Abstract

• S. Gupta, "Deep CNN-based SMN representation for scene recognition ", NCC 2019 Graduate student day workshop, IISc Bangalore, India, February 2019. [Oral presentation].

• S. Gupta, A. D. Dileep and T. Veena, "Varying Size Scene Image Classification using CNN based DSPMK", Grace Hopper Celebration India (GHCI), Bangalore, India, November 2018. [Poster presentation].

• S. Gupta, A. D. Dileep and T. Veena, "CNN-Based Segment-level Pyramid Match Kernel for the Classification of Varying Length Patterns of Speech", Workshop for Young Female Researchers in Speech Science & Technology (YFRSW), INTERSPEECH 2018 Hyderabad India. [Poster presentation].

• S. Gupta, A. D. Dileep, T. Veena, "Spatial Probabilistic Sequence Kernel for Scene Classification using Support Vector Machines", IEEE Conference on Computer Vision and Pattern Recognition, WiCV workshop (CVPRW), Las Vegas, USA, June 2016. [Poster presentation].

• S. Gupta, S. Jain, T. Veena, A. D. Dileep , "Semantic Multinomial Representation for Scene Images using Dynamic Kernel based SVMs", IEEE Conference on Computer Vision and Pattern Recognition, SUNw workshop (CVPRW), Las Vegas, USA, June 2016. [Poster presentation].

* Equal Contribution