| Speech Emotion Recognition Using Spectrogram & Phoneme Embedding. P Yenigalla, A Kumar, S Tripathi, C Singh, S Kar, J Vepa Interspeech 2018, 3688-3692, 2018 | 202 | 2018 |
| Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions S Tripathi, A Kumar, A Ramesh, C Singh, P Yenigalla 20th International Conference on Computational Linguistics and Intelligent …, 2019 | 81 | 2019 |
| Deceptive Reviews Detection Using Deep Learning Techniques A Kumar, N Jain, S Singh, C Singh, S Tripathi 24th International Conference on Applications of Natural Language to …, 2019 | 30* | 2019 |
| Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition S Tripathi, A Kumar, A Ramesh, C Singh, P Yenigalla 20th International Conference on Computational Linguistics and Intelligent …, 2019 | 16 | 2019 |
| Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition S Tripathi, A Ramesh, A Kumar, C Singh, P Yenigalla In IJCAI Workshop on Artificial Intelligence in Affective Computing [ACCEPTED], 2019 | 15 | 2019 |
| Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network A Kumar, N Jain, C Singh, S Tripathi 15th IEEE India Council International Conference (INDICON 2018), 2018 | 9 | 2018 |
| Emoception: An Inception Inspired Efficient Speech Emotion Recognition Network C Singh, A Kumar, A Nagar, S Tripathi, P Yenigalla 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 8 | 2019 |
| Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding S Tripathi, C Singh, A Kumar, C Pandey, N Jain 24th International Conference on Applications of Natural Language to …, 2019 | 8 | 2019 |
| From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation A Kumar, N Jain, S Tripathi, C Singh 20th International Conference on Computational Linguistics and Intelligent …, 2019 | 7 | 2019 |
| Hybrid maximum depth-kNN method for real time node tracking using multi-sensor data S Kumar, A Kumar, A Kumar, RM Hegde 2015 IEEE International Conference on Communications (ICC), 6652-6657, 2015 | 3 | 2015 |
| MTCNet: Multi-Task Learning Paradigm for Crowd Count Estimation A Kumar, N Jain, C Singh, S Tripathi, K Krishna 16th IEEE International Conference on Advanced Video and Signal-based …, 2019 | 2 | 2019 |
| Input-conditioned Convolution Filters for Feature Learning S Tripathi, S Tripathi, A Kumar, C Singh MoMM 2020: The 18th International Conference on Advances in Mobile Computing …, 2020 | | 2020 |
| Visual Context-aware Convolution Filters for Transformation-invariant Neural Network S Tripathi, A Kumar, C Singh arXiv preprint arXiv:1906.09986, 2019 | | 2019 |
Chirag SinghAmazon (Present - 2021), Samsung R&D Institute, Bangalore - India (2017 - 2021), IIT(ISM) DhanbadVerified email at samsung.com
