Anshul Thakur
Anshul Thakur
IIT Mandi
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Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss
A Thakur, D Thapar, P Rajan, A Nigam
The Journal of the Acoustical Society of America 146 (1), 534-547, 2019
142019
Compressed convex spectral embedding for bird species classification
A Thakur, V Abrol, P Sharma, P Rajan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
112018
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation
A Thakur, V Abrol, P Sharma, P Rajan
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
112017
Archetypal analysis based sparse convex sequence kernel for bird activity detection
V Abrol, P Sharma, A Thakur, P Rajan, AD Dileep, AK Sao
2017 25th European Signal Processing Conference (EUSIPCO), 1774-1778, 2017
112017
Predicting glaucoma before onset using deep learning
A Thakur, M Goldbaum, S Yousefi
Ophthalmology Glaucoma 3 (4), 262-268, 2020
102020
A layer-wise score level ensemble framework for acoustic scene classification
A Singh, A Thakur, P Rajan, A Bhavsar
2018 26th European Signal Processing Conference (EUSIPCO), 837-841, 2018
82018
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.
P Sharma, V Abrol, A Thakur
Interspeech, 3299-3303, 2018
72018
Rapid bird activity detection using probabilistic sequence kernels
A Thakur, R Jyothi, P Rajan, AD Dileep
2017 25th European Signal Processing Conference (EUSIPCO), 1754-1758, 2017
72017
Model-based unsupervised segmentation of birdcalls from field recordings
A Thakur, P Rajan
2016 10th International Conference on Signal Processing and Communication …, 2016
72016
Convex representations using deep archetypal analysis for predicting glaucoma
A Thakur, M Goldbaum, S Yousefi
IEEE Journal of Translational Engineering in Health and Medicine 8, 1-7, 2020
62020
Deep archetypal analysis based intermediate matching kernel for bioacoustic classification
A Thakur, P Rajan
IEEE Journal of Selected Topics in Signal Processing 13 (2), 298-309, 2019
62019
Deep Convex Representations: Feature Representations for Bioacoustics Classification.
A Thakur, V Abrol, P Sharma, P Rajan
INTERSPEECH, 2127-2131, 2018
62018
Local compressed convex spectral embedding for bird species identification
A Thakur, V Abrol, P Sharma, P Rajan
The Journal of the Acoustical Society of America 143 (6), 3819-3828, 2018
42018
All-cony net for bird activity detection: Significance of learned pooling
A Pankajakshan, A Thakttr, D Thapar, P Rajan, A Nigam
42018
Glaucoma precognition: Recognizing preclinical visual functional signs of glaucoma
K Gupta, A Thakur, M Goldbaum, S Yousefi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
32020
GMM-AA system for acoustic scene classification
V Abrol, P Sharma, A Thakur
Tech. Rep., DCASE2017 Challenge, Tech. Rep, 2017
32017
Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people
S Singh, A Thakur, D Vir
International Journal of Speech Technology 18 (2), 143-156, 2015
32015
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss
A Thakur, D Thapar, P Rajan, A Nigam
arXiv preprint arXiv:1903.10713, 2019
22019
APE: Archetypal-Prototypal Embeddings for Audio Classification
A Singh, A Thakur, P Rajan
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
22018
Predicting glaucoma prior to its onset using deep learning
A Thakur, MH Goldbaum, S Yousefi
Investigative Ophthalmology & Visual Science 61 (7), 876-876, 2020
12020
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