| Audio Event Detection using Weakly Labeled Data A Kumar, B Raj 24th ACM International Conference on Multimedia (ACM MM), 2016 | 172 | 2016 |
| Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes A Kumar, M Khadkevich, C Fugen IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 127 | 2018 |
| Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes A Kumar, M Khadkevich, C Fügen IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 127 | 2018 |
| Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks A Kumar, D Florencio Interspeech, 2016 | 116 | 2016 |
| Audio event detection from acoustic unit occurrence patterns A Kumar, P Dighe, R Singh, S Chaudhuri, B Raj 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 76 | 2012 |
| Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording B Elizalde, A Kumar, A Shah, A Badlani, E Vincent, B Raj, I Lane Workshop on Detection and Classification of Acoustic Scenes and Events …, 2016 | 57* | 2016 |
| A closer look at weak label learning for audio events A Shah, A Kumar, AG Hauptmann, B Raj arXiv preprint arXiv:1804.09288, 2018 | 51 | 2018 |
| Deep cnn framework for audio event recognition using weakly labeled web data A Kumar, B Raj NIPS Workshop on Machine Learning for Audio, 2017 | 45 | 2017 |
| Audio event and scene recognition: A unified approach using strongly and weakly labeled data A Kumar, B Raj 2017 International Joint Conference on Neural Networks (IJCNN), 3475-3482, 2017 | 41 | 2017 |
| Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data A Kumar, B Raj International Joint Conference on Neural Networks (IJCNN), 2017 | 41 | 2017 |
| Informedia@ trecvid 2014 med and mer SI Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, ... NIST TRECVID Video Retrieval Evaluation Workshop 24, 2014 | 37 | 2014 |
| Content Based Representations Of Audio Using Siamese Neural Networks P Manocha, R Badlani, A Kumar, A Shah, B Elizalde, B Raj IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 34 | 2018 |
| NELS-Never-Ending Learner of Sounds B Elizalde, R Badlani, A Shah, A Kumar, B Raj NIPS Workshop on Machine Learning for Audio, 2018 | 25* | 2018 |
| A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition A Kumar, VK Ithapu International Conference on Machine Learning (ICML), 2020, 2020 | 24 | 2020 |
| An Approach for Self-Training Audio Event Detectors Using Web Data A Shah, R Badlani, A Kumar, B Elizalde, B Raj 25th European Signal Processing Conference (EUSIPCO), 2017 | 23 | 2017 |
| Weakly Supervised Scalable Audio Content Analysis A Kumar, B Raj IEEE International Conference on Multimedia & Expo, 2016 | 23 | 2016 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... arXiv preprint arXiv:2110.07058 3, 2021 | 20 | 2021 |
| Detecting sound objects in audio recordings A Kumar, R Singh, B Raj Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd …, 2014 | 20 | 2014 |
| SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation K Tan, B Xu, A Kumar, E Nachmani, Y Adi IEEE Signal Processing Letters, 2020 | 18 | 2020 |
| Cmu-informedia@ trecvid 2014 multimedia event detection (med) S Yu, L Jiang, Z Mao, XJ Chang, XZ Du, C Gan, ZZ Lan, ZW Xu, XC Li, ... TRECVID video retrieval evaluation workshop, 2014 | 17 | 2014 |
bhiksha rajCarnegie Mellon UniversityVerified email at cs.cmu.edu
