Anurag Kumar
Anurag Kumar
Facebook Research, Carnegie Mellon University (CMU)
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Audio Event Detection using Weakly Labeled Data
A Kumar, B Raj
24th ACM International Conference on Multimedia (ACM MM), 2016
1612016
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
982018
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
982018
Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks
A Kumar, D Florencio
Interspeech, 2016
972016
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
732012
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
54*2016
Deep cnn framework for audio event recognition using weakly labeled web data
A Kumar, B Raj
NIPS Workshop on Machine Learning for Audio, 2017
412017
A closer look at weak label learning for audio events
A Shah, A Kumar, AG Hauptmann, B Raj
arXiv preprint arXiv:1804.09288, 2018
372018
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
362014
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
302017
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
302017
NELS-Never-Ending Learner of Sounds
B Elizalde, R Badlani, A Shah, A Kumar, B Raj
NIPS Workshop on Machine Learning for Audio, 2018
23*2018
Weakly Supervised Scalable Audio Content Analysis
A Kumar, B Raj
IEEE International Conference on Multimedia & Expo, 2016
222016
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
212018
Detecting sound objects in audio recordings
A Kumar, R Singh, B Raj
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd …, 2014
192014
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
172017
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
172014
SeCoST:: Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection
A Kumar, VK Ithapu
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020
12*2020
Features and kernels for audio event recognition
A Kumar, B Raj
arXiv preprint arXiv:1607.05765, 2016
122016
Unsupervised fusion weight learning in multiple classifier systems
A Kumar, B Raj
arXiv preprint arXiv:1502.01823, 2015
122015
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