| DCASE 2017 challenge setup: Tasks, datasets and baseline system Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit ... DCASE 2017-Workshop on Detection and Classification of Acoustic Scenes and …, 2017 | 610* | 2017 |
| Sound event detection in domestic environments with weakly labeled data and soundscape synthesis N Turpault, R Serizel, J Salamon, AP Shah | 192 | 2019 |
| Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah DCASE 2018 - Workshop on Detection and Classification of Acoustic Scenes and …, 2018 | 145* | 2018 |
| CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis AP Shah, JB Lamare, T Nguyen-Anh, A Hauptmann 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 | 71 | 2018 |
| Sound event detection in synthetic domestic environments R Serizel, N Turpault, A Shah, J Salamon ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 66 | 2020 |
| Experiments on the DCASE Challenge 2016: Acoustic scene classification and sound event detection in real life recording Benjamin Elizalde, Anurag Kumar, Ankit Shah, Rohan Badlani, Emmanuel Vincent ... IEEE AASP Challenge: Detection and Classification of Acoustic Events and …, 2016 | 59* | 2016 |
| A Closer Look at Weak Label Learning for Audio Events Ankit Shah, Anurag Kumar, Alexander G Hauptmann, Bhiksha Raj arXiv preprint arXiv:1804.09288, 2018 | 54 | 2018 |
| Content-based Representations of audio using Siamese neural networks Pranay Manocha, Rohan Badlani, Anurag Kumar, Ankit Shah, Benjamin Elizalde ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 41 | 2018 |
| NELS-Never-Ending Learner of Sounds Ankit Shah, Benjamin Elizalde, Rohan Badlani, Anurag Kumar, Bhiksha Raj NIPS Workshop on Machine Learning for Audio, 2018 | 28* | 2018 |
| An approach for self-training audio event detectors using web data Ankit Shah, Benjamin Elizalde, Siddharth Dalmia, Min Hun Lee, Rohan Badlani ... Signal Processing Conference (EUSIPCO), 2017 25th European, 1863-1867, 2017 | 21* | 2017 |
| Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture G Larionov, Z Kaden, HV Dureddy, GBT Kalejaiye, M Kale, SP Potharaju, ... 2nd Proceedings of Alexa Social Prize, 2018 | 15 | 2018 |
| Multimodal behavioral markers exploring suicidal intent in social media videos AP Shah, V Vaibhav, V Sharma, M Al Ismail, J Girard, LP Morency 2019 International Conference on Multimodal Interaction, 409-413, 2019 | 13 | 2019 |
| Learning Sound Events From Webly Labeled Data A Kumar, A Shah, A Hauptmann, B Raj 28th International Joint Conference on Artificial Intelligence, 2019, 2018 | 13 | 2018 |
| Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning A Shah, S Geng, P Gao, A Cherian, T Hori, TK Marks, J Le Roux, C Hori ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| Framework for evaluation of sound event detection in web videos Ankit Shah, Rohan Badlani, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
| DCASE 2017 Challenge Setup: Tasks A Mesaros, T Heittola, A Diment, B Elizalde, A Shah, E Vincent, B Raj, ... Datasets and Baseline System, DCASE, 2017 | 5 | 2017 |
| An approach for self-training audio event detectors using web data A Shah, R Badlani, A Kumar, B Elizalde, B Raj arXiv preprint arXiv:1609.06026, 2016 | 4 | 2016 |
| Overview of audio visual sceneaware dialog with reasoning track for natural language generation in DSTC10 C Hori, AP Shah, S Geng, P Gao, A Cherian, T Hori, J Le Roux, TK Marks Proc. DSTC10 Workshop at AAAI, 2022 | 2 | 2022 |
| Natural Language Person Search Using Deep Reinforcement Learning Ankit Shah, Tyler Vuong arXiv preprint arXiv:1809.00365, 2018 | 2 | 2018 |
| On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice A Shah, H Dhamyal, Y Gao, R Singh, B Raj arXiv preprint arXiv:2204.04802, 2022 | 1 | 2022 |
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
