Research Publications -@ CSE-IITM

Publications by the members of CSE Department :

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Uncertainty-Guided Metric Learning Without Labels.

Dhanunjaya Varma Devalraju, C. Chandra Sekhar
Appeared in IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, AZ, USA, February 26 - March 6, 2025 (WACV 2025), Vol , No., pp.7029-7038, Mar 2025.

MetaFix: Semi-supervised Model Agnostic Meta-learning Using Consistency Regularization.

Solarica Palit, C. Chandra Sekhar
Appeared in Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part III (ICONIP 2024), Lecture Notes in Computer Science, Vol 15288, No., pp.51-65, Dec 2024.

Leveraging Generated Image Captions for Visual Commonsense Reasoning.

Subham Das, C. Chandra Sekhar
Appeared in IEEE International Conference on Image Processing, ICIP 2024, Abu Dhabi, United Arab Emirates, october 27-30, 2024 (ICIP 2024), Vol , No., pp.2508-2514, Oct 2024.

Multi-Modal Hierarchical Attention-Based Dense Video Captioning.

Hemalatha Munusamy, C. Chandra Sekhar
Appeared in IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023 (ICIP 2023), pp.475-479, Oct 2023.

Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer and Post-processing.

Naveen Vakada, C. Chandra Sekhar
Appeared in Advanced Concepts for Intelligent Vision Systems - 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21-23, 2023 Proceedings (ACIVS 2023), Lecture Notes in Computer Science, Vol 14124, pp.40-52, Aug 2023.

Multimodal attention-based transformer for video captioning.

Hemalatha Munusamy, C. Chandra Sekhar
Appeared in Appl. Intell., Vol 53, pp.23349-23368, 2023.

Video captioning using Semantically Contextual Generative Adversarial Network.

Hemalatha Munusamy, C. Chandra Sekhar
Appeared in Comput. Vis. Image Underst., Vol 221, pp.103453, 2022.

Semi-Supervised Metric Learning: A Deep Resurrection.

Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
Appeared in Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp.7279-7287, Feb 2021.

A Study and Review on Frequency Band Notch Characteristics in Reconfigurable MIMO-UWB Antennas.

Vanka Saritha, C. Chandra Sekhar
Appeared in Wirel. Pers. Commun., Vol 118, pp.2631-2661, 2021.

Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Appeared in IEEE ACM Trans. Audio Speech Lang. Process., Vol 29, pp.14-27, 2021.

A Geometric Approach for Unsupervised Similarity Learning.

Ujjal Kr Dutta, C. Chandra Sekhar
Appeared in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020 (ICASSP 2020), pp.4202-4206, May 2020.

Domain-Specific Semantics Guided Approach to Video Captioning.

M. Hemalatha, C. Chandra Sekhar
Appeared in IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020 (WACV 2020), pp.1576-1585, Mar 2020.

Unsupervised Metric Learning with Synthetic Examples.

Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
Appeared in The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp.3834-3841, Feb 2020.

Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss.

Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
Appeared in IEEE Trans. Artif. Intell., Vol 1, pp.74-84, 2020.

Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models.

Rupam Ojha, C. Chandra Sekhar
Appeared in International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp.1-8, Jul 2019.

Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019 (ICASSP 2019), pp.6291-6295, May 2019.

Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework.

Ujjal Kr Dutta, C. Chandra Sekhar
Appeared in Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I, Lecture Notes in Computer Science, Vol 11139, pp.556-565, Oct 2018.

Subspace Segmentation Based Metric Learning.

Ujjal Kr Dutta, C. Chandra Sekhar
Appeared in 2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018 (ICIP 2018), pp.1623-1627, Oct 2018.

Information Bottleneck Based Percussion Instrument Diarization System for Taniavartanam Segments of Carnatic Music Concerts.

Nauman Dawalatabad, Jom Kuriakose, C. Chandra Sekhar, Hema A. Murthy
Appeared in Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018., pp.1215-1219, Sep 2018.

Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space.

B. S. Shajee Mohan, C. Chandra Sekhar
Appeared in Pattern Anal. Appl., Vol 21, pp.847-867, 2018.

Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification.

B. S. Shajee Mohan, C. Chandra Sekhar
Appeared in Ninth International Conference on Advances in Pattern Recognition, ICAPR 2017, Bangalore, India, December 27-30, 2017 (ICAPR 2017), pp.1-6, Dec 2017.

Kernel Entropy Discriminant Analysis for Dimension Reduction.

Aditya Mehta, C. Chandra Sekhar
Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.35-42, Dec 2017.

A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification.

Abhiram Kumar Singh, C. Chandra Sekhar
Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.69-76, Dec 2017.

Label Correlation Propagation for Semi-supervised Multi-label Learning.

Aritra Ghosh, C. Chandra Sekhar
Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.52-60, Dec 2017.

Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features.

Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
Appeared in Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8-12, 2016, pp.2199-2203, Sep 2016.

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines.

Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in 14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 (ICMLA 2015), pp.122-127, Dec 2015.

Tensor Deep Stacking Networks and Kernel Deep Convex Networks for Annotating Natural Scene Images.

NiharJyoti Sarangi, C. Chandra Sekhar
Appeared in Pattern Recognition Applications and Methods - 4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers (ICPRAM 2015), Lecture Notes in Computer Science, Vol 9493, pp.267-281, Jan 2015.

Automatic Image Annotation Using Convex Deep Learning Models.

NiharJyoti Sarangi, C. Chandra Sekhar
Appeared in ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 2, Lisbon, Portugal, 10-12 January, 2015. (ICPRAM 2015), pp.92-99, Jan 2015.

Techniques for Improving the Performance of Image Retrieval using Relevance Feedback.

Shrikant Nayak, C. Chandra Sekhar
Appeared in Proceedings of the 2014 Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP'14, Bangalore, India, December 14-18, 2014, pp.43:1-43:8, Dec 2014.

Concept Level Discriminant Analysis Techniques for Dimension Reduction in Image Classification Tasks.

Ramya K. Raman, C. Chandra Sekhar
Appeared in Proceedings of the 2014 Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP'14, Bangalore, India, December 14-18, 2014, pp.44:1-44:8, Dec 2014.

A Descriptor based on Intensity Binning for Image Matching.

B. Balasanjeevi, C. Chandra Sekhar
Appeared in ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, Loire Valley, France, 6-8 March, 2014 (ICPRAM 2014), pp.96-103, Mar 2014.

Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines.

A. D. Dileep, C. Chandra Sekhar
Appeared in Speech Communication, Vol 57, pp.126-143, 2014.

GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines.

Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in IEEE Trans. Neural Netw. Learning Syst., Vol 25, pp.1421-1432, 2014.

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 (ICASSP 2013), pp.3562-3566, May 2013.

HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines.

Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in IEEE ACM Trans. Audio Speech Lang. Process., Vol 21, pp.2570-2582, 2013.

Large margin mixture of AR models for time series classification.

Venkataramana B. Kini, C. Chandra Sekhar
Appeared in Appl. Soft Comput., Vol 13, pp.361-371, 2013.

Bayesian mixture of AR models for time series clustering.

Venkataramana B. Kini, C. Chandra Sekhar
Appeared in Pattern Anal. Appl., Vol 16, pp.179-200, 2013.

Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network.

Chandra Thapa, C. Chandra Sekhar
Appeared in Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India - Volume 1, Advances in Intelligent Systems and Computing, Vol 176, pp.361-367, Jul 2012.

Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification.

B. S. Shajee Mohan, C. Chandra Sekhar
Appeared in Image Analysis and Recognition - 9th International Conference, ICIAR 2012, Aveiro, Portugal, June 25-27, 2012. Proceedings, Part II (ICIAR 2012), Lecture Notes in Computer Science, Vol 7325, pp.240-248, Jun 2012.

Speaker recognition using pyramid match kernel based support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in I. J. Speech Technology, Vol 15, pp.365-379, 2012.

Scene Categorization Using Large Margin Gaussian Mixture Models.

T. Veena, Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (IPCV 2010), pp.395-401, Jul 2010.

Classification of varying length multivariate time series using Gaussian mixture models and support vector machines.

S. Chandrakala, C. Chandra Sekhar
Appeared in IJDMMM, Vol 2, pp.268-287, 2010.

Variational Bayes Adapted GMM Based Models for Audio Clip Classification.

Ved Prakash Sahu, Harendra Kumar Mishra, C. Chandra Sekhar
Appeared in Pattern Recognition and Machine Intelligence, Third International Conference, PReMI 2009, New Delhi, India, December 16-20, 2009 Proceedings, Lecture Notes in Computer Science, Vol 5909, pp.513-518, Dec 2009.

Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features.

S. Chandrakala, C. Chandra Sekhar
Appeared in Pattern Recognition and Machine Intelligence, Third International Conference, PReMI 2009, New Delhi, India, December 16-20, 2009 Proceedings, Lecture Notes in Computer Science, Vol 5909, pp.13-18, Dec 2009.

Combination of generative models and SVM based classifier for speech emotion recognition.

Shanmuganathan Chandrakala, C. Chandra Sekhar
Appeared in International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009 (IJCNN 2009), pp.497-502, Jun 2009.

Representation and feature selection using multiple kernel learning.

Aroor Dinesh Dileep, C. Chandra Sekhar
Appeared in International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009 (IJCNN 2009), pp.717-722, Jun 2009.

Model Based Clustering of Audio Clips Using Gaussian Mixture Models.

S. Chandrakala, C. Chandra Sekhar
Appeared in Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, 4-6 February 2009, Proceedings (ICAPR 2009), pp.47-50, Feb 2009.

Bayesian Mixture of AR Models for Time Series Clustering.

Venkataramana B. Kini, C. Chandra Sekhar
Appeared in Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, 4-6 February 2009, Proceedings (ICAPR 2009), pp.35-38, Feb 2009.

Ordering and Elimination Based Component Learning Method.

Sheetal Reddy Pamudurthy, C. Chandra Sekhar
Appeared in Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, 4-6 February 2009, Proceedings (ICAPR 2009), pp.99-102, Feb 2009.

A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech.

Anupam Mandal, K. R. Prasanna Kumar, G. Athithan, C. Chandra Sekhar
Appeared in Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, 4-6 February 2009, Proceedings (ICAPR 2009), pp.179-182, Feb 2009.

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