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Fahim Kawsar
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Publications
- 2022
- [j18]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. 33(11): 3153-3164 (2022) - 2021
- [i5]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR abs/2112.13381 (2021) - 2020
- [c100]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP 2020: 7439-7443 - [i4]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. CoRR abs/2003.12425 (2020) - [i3]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR abs/2009.02814 (2020) - 2019
- [c95]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek 2019: 43 - [c93]Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar:
Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct 2019: 505-509 - [c89]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane:
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA 2019: 896-901 - [c87]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems. IPSN 2019: 169-180 - [p2]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane:
Towards the Design and Evaluation of Robust Audio-Sensing Systems. Human Activity Sensing 2019: 47-57 - [e7]Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6661-8 [contents] - 2018
- [c82]Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville:
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct 2018: 666-669 - [c78]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze:
On Robustness of Cloud Speech APIs: An Early Characterization. UbiComp/ISWC Adjunct 2018: 1409-1413 - [c76]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - 2017
- [j9]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - [j8]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c63]Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar:
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys 2017: 68-81 - 2016
- [c60]Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct 2016: 185-188 - [c59]Akhil Mathur, Nicholas D. Lane, Fahim Kawsar:
Engagement-aware computing: modelling user engagement from mobile contexts. UbiComp 2016: 622-633 - [c56]Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar:
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. IPSN 2016: 21:1-21:12 - [c55]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - [c54]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c52]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar:
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE 2016: 98-107 - [c48]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) 2016: 23 - [c46]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. MobiSys 2016: 97-110 - [c45]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) 2016: 109 - [e4]Nicholas D. Lane, Xia Zhou, Fahim Kawsar:
Proceedings of the 3rd International on Workshop on Physical Analytics, WPA@MobiSys 2015, Singapore, June 26, 2016. ACM 2016, ISBN 978-1-4503-4328-2 [contents] - 2015
- [c37]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys 2015: 7-12
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