C. Chandra Sekhar

74 papers A* 1A 5B 15C 2Misc 4Journal 15Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	DenseCapVCR: Utilizing Dense Captions for Visual Commonsense Reasoning. IJCNN Subham Das, C. Chandra Sekhar
2025	A	`conf`	Uncertainty-Guided Metric Learning Without Labels. WACV Dhanunjaya Varma Devalraju, C. Chandra Sekhar
2024	B	`conf`	Leveraging Generated Image Captions for Visual Commonsense Reasoning. ICIP Subham Das, C. Chandra Sekhar
2024	—	`conf`	MetaFix: Semi-supervised Model Agnostic Meta-learning Using Consistency Regularization. ICONIP (3) Solarica Palit, C. Chandra Sekhar
2023	B	`conf`	Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer and Post-processing. ACIVS Naveen Vakada, C. Chandra Sekhar
2023	J	`jnl`	Memory-efficient Stochastic methods for Memory-based Transformers. CoRR Vishwajit Kumar Vishnu, C. Chandra Sekhar
2023	B	`conf`	Multi-Modal Hierarchical Attention-Based Dense Video Captioning. ICIP Hemalatha Munusamy, C. Chandra Sekhar
2023	J	`jnl`	Multimodal attention-based transformer for video captioning. Appl. Intell. Hemalatha Munusamy, C. Chandra Sekhar
2022	J	`jnl`	Video captioning using Semantically Contextual Generative Adversarial Network. Comput. Vis. Image Underst. Hemalatha Munusamy, C. Chandra Sekhar
2021	J	`jnl`	Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts. CoRR Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose, C. Chandra Sekhar, Shrikanth Narayanan, Hema A. Murthy
2021	J	`jnl`	Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings. IEEE ACM Trans. Audio Speech Lang. Process. Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
2021	J	`jnl`	Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features. CoRR Rupam Ojha, C. Chandra Sekhar
2020	Misc	`conf`	A Geometric Approach for Unsupervised Similarity Learning. ICASSP Ujjal Kr Dutta, C. Chandra Sekhar
2020	A	`conf`	Domain-Specific Semantics Guided Approach to Video Captioning. WACV Hemalatha Munusamy, C. Chandra Sekhar
2020	A*	`conf`	Unsupervised Metric Learning with Synthetic Examples. AAAI Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
2019	Misc	`conf`	Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings. ICASSP Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
2019	J	`jnl`	Incremental Transfer Learning in Two-pass Information Bottleneck based Speaker Diarization System for Meetings. CoRR Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
2019	B	`conf`	Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models. IJCNN Rupam Ojha, C. Chandra Sekhar
2018	—	`conf`	Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. ICANN (1) Ujjal Kr Dutta, C. Chandra Sekhar
2018	J	`jnl`	Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space. Pattern Anal. Appl. B. S. Shajee Mohan, C. Chandra Sekhar
2018	B	`conf`	Subspace Segmentation Based Metric Learning. ICIP Ujjal Kr Dutta, C. Chandra Sekhar
2017	—	`conf`	A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification. PReMI Abhiram Kumar Singh, C. Chandra Sekhar
2017	—	`conf`	Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification. ICAPR B. S. Shajee Mohan, C. Chandra Sekhar
2017	—	`conf`	Kernel Entropy Discriminant Analysis for Dimension Reduction. PReMI Aditya Mehta, C. Chandra Sekhar
2017	—	`conf`	Label Correlation Propagation for Semi-supervised Multi-label Learning. PReMI Aritra Ghosh, C. Chandra Sekhar
2016	A	`conf`	Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features. INTERSPEECH Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
2015	—	`conf`	Automatic Image Annotation Using Convex Deep Learning Models. ICPRAM (2) Niharjyoti Sarangi, C. Chandra Sekhar
2015	C	`conf`	Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. ICMLA Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar
2014	C	`conf`	A Descriptor based on Intensity Binning for Image Matching. ICPRAM B. Balasanjeevi, C. Chandra Sekhar
2014	J	`jnl`	Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Speech Commun. Aroor Dinesh Dileep, C. Chandra Sekhar
2014	—	`conf`	Concept Level Discriminant Analysis Techniques for Dimension Reduction in Image Classification Tasks. ICVGIP Ramya K. Raman, C. Chandra Sekhar
2014	—	`ed.`	Seventh International Conference on Contemporary Computing, IC3 2014, Noida, India, August 7-9, 2014 IC3 Manish Parashar, Umesh Bellur, S. D. Madhu Kumar, Priya Chandran, Murali Krishnan, Kamesh Madduri, Sushil K. Prasad, C. Chandra Sekhar, Nanjangud C. Narendra, Carlos Valera, Sanjay Chaudhary, Kavi Arya, Xiaolin Li
2014	—	`conf`	Techniques for Improving the Performance of Image Retrieval using Relevance Feedback. ICVGIP Shrikant Nayak, C. Chandra Sekhar
2013	J	`jnl`	Bayesian mixture of AR models for time series clustering. Pattern Anal. Appl. Venkataramana B. Kini, C. Chandra Sekhar
2013	J	`jnl`	HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines. IEEE ACM Trans. Audio Speech Lang. Process. Aroor Dinesh Dileep, C. Chandra Sekhar
2013	Misc	`conf`	HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. ICASSP Aroor Dinesh Dileep, C. Chandra Sekhar
2013	J	`jnl`	Large margin mixture of AR models for time series classification. Appl. Soft Comput. Venkataramana B. Kini, C. Chandra Sekhar
2012	—	`conf`	Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification. ICIAR (2) B. S. Shajee Mohan, C. Chandra Sekhar
2012	J	`jnl`	Speaker recognition using pyramid match kernel based support vector machines. Int. J. Speech Technol. Aroor Dinesh Dileep, C. Chandra Sekhar
2010	J	`jnl`	Classification of varying length multivariate time series using Gaussian mixture models and support vector machines. Int. J. Data Min. Model. Manag. S. Chandrakala, C. Chandra Sekhar
2009	—	`conf`	A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech. ICAPR Anupam Mandal, K. R. Prasanna Kumar, G. Athithan, C. Chandra Sekhar
2009	—	`conf`	Bayesian Mixture of AR Models for Time Series Clustering. ICAPR Venkataramana B. Kini, C. Chandra Sekhar
2009	—	`conf`	Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features. PReMI S. Chandrakala, C. Chandra Sekhar
2009	—	`conf`	Model Based Clustering of Audio Clips Using Gaussian Mixture Models. ICAPR S. Chandrakala, C. Chandra Sekhar
2009	—	`conf`	Ordering and Elimination Based Component Learning Method. ICAPR Sheetal Reddy Pamudurthy, C. Chandra Sekhar
2009	—	`conf`	Variational Bayes Adapted GMM Based Models for Audio Clip Classification. PReMI Ved Prakash Sahu, Harendra Kumar Mishra, C. Chandra Sekhar
2009	—	`conf`	Variational Gaussian Mixture Models for Speech Emotion Recognition. ICAPR Harendra Kumar Mishra, C. Chandra Sekhar
2008	B	`conf`	A density based method for multivariate time series clustering in kernel feature space. IJCNN S. Chandrakala, C. Chandra Sekhar
2008	—	`conf`	An SVM Based Approach to Cross-Language Adaptation for Indian Languages. ICONIP (2) A. Vijaya Rama Raju, C. Chandra Sekhar
2008	B	`conf`	Hyperparameters of Gaussian process as features for trajectory classification. IJCNN G. Haranadh, C. Chandra Sekhar
2008	B	`conf`	Large margin AR model for time series classification. ICPR Venkataramana B. Kini, C. Chandra Sekhar
2008	—	`conf`	Signal processing based segmentation and hmm based acoustic clustering of syllable segments for low bit rate segment vocoder at 1.4 Kbps. EUSIPCO Sadhana Chevireddy, Hema A. Murthy, C. Chandra Sekhar
2007	—	`conf`	Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space. ISNN (1) R. Anitha, C. Chandra Sekhar
2007	B	`conf`	Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines. IJCNN R. Anitha, C. Chandra Sekhar
2007	—	`conf`	Clustering of Nonlinearly Separable Data Using Spiking Neural Networks. ICANN (1) Lakshmi Narayana Panuku, C. Chandra Sekhar
2007	—	`conf`	Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction. ICCTA Venkataramana B. Kini, C. Chandra Sekhar
2007	B	`conf`	Local Density Estimation based Clustering. IJCNN Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar
2007	—	`conf`	Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching. ICONIP (2) Venkataramana B. Kini, C. Chandra Sekhar
2007	—	`conf`	Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons. ICONIP (1) Lakshmi Narayana Panuku, C. Chandra Sekhar
2007	—	`conf`	Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts. ICANN (2) H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy
2006	B	`conf`	Kernel based Clustering and Vector Quantization for Speech Segmentation. IJCNN D. Srikrishna Satish, C. Chandra Sekhar
2005	—	`conf`	Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models. NOLISP Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
2004	B	`conf`	A Fast and Efficient Face Detection Technique Using Support Vector Machine. ICONIP R. Suguna, N. Sudha, C. Chandra Sekhar
2004	B	`conf`	Kernel Based Clustering for Multiclass Data. ICONIP D. Srikrishna Satish, C. Chandra Sekhar
2003	B	`conf`	Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech. IJCNN Suryakanth V. Gangashetty, K. Sreenivasa Rao, A. Nayeemulla Khan, C. Chandra Sekhar, Bayya Yegnanarayana
2003	—	`conf`	Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances. ICASSP (2) Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
2003	A	`conf`	Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances. ICME Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana
2002	J	`jnl`	A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances. IEEE Trans. Speech Audio Process. C. Chandra Sekhar, B. Yegnanarayana
2002	A	`conf`	Recognition of continuous speech segments of monophone units using support vector machines. INTERSPEECH Weifeng Lee, C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
1998	Misc	`conf`	A Residue Number Arithmetic based Circuit for Pipelined Computation of Autocorrelation Coefficients of Speech Signal. VLSI Design Ansgar Drolshagen, Walter Anheier, C. Chandra Sekhar
1996	—	`conf`	Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech. ICNN C. Chandra Sekhar, B. Yegnanarayana
1991	—	`conf`	Synthesizing intonation for speech in hindi. EUROSPEECH A. S. Madhukumar, S. Rajendran, C. Chandra Sekhar, B. Yegnanarayana
1989	—	`conf`	Parsing spoken utterances in an inflectional language. EUROSPEECH M. Prakash, G. V. Ramana Rao, C. Chandra Sekhar, B. Yegnanarayana
1987	—	`conf`	An acoustic-phonetic expert for analysis and processing of continuous speech in hindi. ECST P. Eswar, S. K. Gupta, C. Chandra Sekhar, B. Yegnanarayana, K. Nagamma Reddy