| 2025 | IJCNN | DenseCapVCR: Utilizing Dense Captions for Visual Commonsense Reasoning. | Subham Das, C. Chandra Sekhar |
| 2025 | WACV | Uncertainty-Guided Metric Learning Without Labels. | Dhanunjaya Varma Devalraju, C. Chandra Sekhar |
| 2024 | ICIP | Leveraging Generated Image Captions for Visual Commonsense Reasoning. | Subham Das, C. Chandra Sekhar |
| 2024 | ICONIP | MetaFix: Semi-supervised Model Agnostic Meta-learning Using Consistency Regularization. | Solarica Palit, C. Chandra Sekhar |
| 2023 | ACIVS | Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer and Post-processing. | Naveen Vakada, C. Chandra Sekhar |
| 2023 | ICIP | Multi-Modal Hierarchical Attention-Based Dense Video Captioning. | Hemalatha Munusamy, C. Chandra Sekhar |
| 2020 | AAAI | Unsupervised Metric Learning with Synthetic Examples. | Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar |
| 2020 | ICASSP | A Geometric Approach for Unsupervised Similarity Learning. | Ujjal Kr Dutta, C. Chandra Sekhar |
| 2020 | WACV | Domain-Specific Semantics Guided Approach to Video Captioning. | Hemalatha Munusamy, C. Chandra Sekhar |
| 2019 | ICASSP | 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 |
| 2019 | IJCNN | Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models. | Rupam Ojha, C. Chandra Sekhar |
| 2018 | ICANN | Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. | Ujjal Kr Dutta, C. Chandra Sekhar |
| 2018 | ICIP | Subspace Segmentation Based Metric Learning. | Ujjal Kr Dutta, C. Chandra Sekhar |
| 2016 | Interspeech | Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features. | Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy |
| 2015 | ICMLA | Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. | Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar |
| 2015 | ICPRAM | Automatic Image Annotation Using Convex Deep Learning Models. | Niharjyoti Sarangi, C. Chandra Sekhar |
| 2014 | ICPRAM | A Descriptor based on Intensity Binning for Image Matching. | B. Balasanjeevi, C. Chandra Sekhar |
| 2013 | ICASSP | HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. | Aroor Dinesh Dileep, C. Chandra Sekhar |
| 2008 | ICONIP | An SVM Based Approach to Cross-Language Adaptation for Indian Languages. | A. Vijaya Rama Raju, C. Chandra Sekhar |
| 2008 | ICPR | Large margin AR model for time series classification. | Venkataramana B. Kini, C. Chandra Sekhar |
| 2008 | IJCNN | A density based method for multivariate time series clustering in kernel feature space. | S. Chandrakala, C. Chandra Sekhar |
| 2008 | IJCNN | Hyperparameters of Gaussian process as features for trajectory classification. | G. Haranadh, C. Chandra Sekhar |
| 2007 | ICANN | Clustering of Nonlinearly Separable Data Using Spiking Neural Networks. | Lakshmi Narayana Panuku, C. Chandra Sekhar |
| 2007 | ICANN | Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts. | H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy |
| 2007 | ICONIP | Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching. | Venkataramana B. Kini, C. Chandra Sekhar |
| 2007 | ICONIP | Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons. | Lakshmi Narayana Panuku, C. Chandra Sekhar |
| 2007 | IJCNN | Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines. | R. Anitha, C. Chandra Sekhar |
| 2007 | IJCNN | Local Density Estimation based Clustering. | Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar |
| 2007 | ISNN | Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space. | R. Anitha, C. Chandra Sekhar |
| 2006 | IJCNN | Kernel based Clustering and Vector Quantization for Speech Segmentation. | D. Srikrishna Satish, C. Chandra Sekhar |
| 2004 | ICONIP | Kernel Based Clustering for Multiclass Data. | D. Srikrishna Satish, C. Chandra Sekhar |
| 2004 | ICONIP | A Fast and Efficient Face Detection Technique Using Support Vector Machine. | R. Suguna, N. Sudha, C. Chandra Sekhar |
| 2003 | ICASSP | Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances. | Suryakanth V. Gangashetty, C. Chandra Sekhar, B. Yegnanarayana |
| 2003 | IJCNN | Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech. | Suryakanth V. Gangashetty, K. Sreenivasa Rao, A. Nayeemulla Khan, C. Chandra Sekhar, Bayya Yegnanarayana |
| 2002 | Interspeech | Recognition of continuous speech segments of monophone units using support vector machines. | Weifeng Lee, C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura |
| 1998 | VLSID | A Residue Number Arithmetic based Circuit for Pipelined Computation of Autocorrelation Coefficients of Speech Signal. | Ansgar Drolshagen, Walter Anheier, C. Chandra Sekhar |
| 1991 | Interspeech | Synthesizing intonation for speech in hindi. | A. S. Madhukumar, S. Rajendran, C. Chandra Sekhar, B. Yegnanarayana |
| 1989 | Interspeech | Parsing spoken utterances in an inflectional language. | M. Prakash, G. V. Ramana Rao, C. Chandra Sekhar, B. Yegnanarayana |
| 1987 | Interspeech | An acoustic-phonetic expert for analysis and processing of continuous speech in hindi. | P. Eswar, S. K. Gupta, C. Chandra Sekhar, B. Yegnanarayana, K. Nagamma Reddy |