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Lahiru D. Chamain
Lahiru D. Chamain
Apple Inc. PhD.
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
End-to-end optimized image compression for machines, a study
LD Chamain, F Racapé, J Bégaint, A Pushparaja, S Feltman
2021 Data Compression Conference (DCC), 163-172, 2021
532021
Quannet: Joint image compression and classification over channels with limited bandwidth
LD Chamain, SS Cheung, Z Ding
2019 IEEE International Conference on Multimedia and Expo (ICME), 338-343, 2019
232019
End-to-End Image Classification and Compression with variational autoencoders
LD Chamain, S Qi, Z Ding
IEEE Internet of Things Journal 9 (21), 21916-21931, 2022
172022
End-to-end optimized image compression for multiple machine tasks
LD Chamain, F Racapé, J Bégaint, A Pushparaja, S Feltman
arXiv preprint arXiv:2103.04178, 2021
172021
Eigenvalue-based detection of a signal in colored noise: Finite and asymptotic analyses
LD Chamain, P Dharmawansa, S Atapattu, C Tellambura
IEEE Transactions on Information Theory 66 (10), 6413-6433, 2020
132020
Improving deep learning classification of jpeg2000 images over bandlimited networks
LD Chamain, Z Ding
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
102020
Faster and accurate classification for jpeg2000 compressed images in networked applications
LD Chamain, Z Ding
arXiv preprint arXiv:1909.05638, 2019
82019
Hierarchical training for distributed deep learning based on multimedia data over band-limited networks
S Qi, LD Chamain, Z Ding
2022 IEEE International Conference on Image Processing (ICIP), 2871-2875, 2022
32022
Stitching 3D ultrasound head images of neonates to monitor changes in ventricular volume
H Chamain, A Fenster, ND Nanayakkara
2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 19-23, 2016
32016
End-To-End Joint Image Compression and Deep Learning Under Bandwidth Constrained Environments
LDCH Gamage
University of California, Davis, 2022
12022
An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning
LD Chamain, S Qi, Z Ding
2021 29th European Signal Processing Conference (EUSIPCO), 691-695, 2021
12021
Detection of a signal in colored noise: A random matrix theory based analysis
LD Chamain, P Dharmawansa, S Atapattu, C Tellambura
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
12019
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
S Qi, A Wijesinghe, LD Chamain, Z Ding
arXiv preprint arXiv:2310.19675, 2023
2023
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification
S Qi, LD Chamain, Z Ding
arXiv preprint arXiv:2308.05840, 2023
2023
LEARNED VIDEO COMPRESSION AND CONNECTORS FOR MULTIPLE MACHINE TASKS
R FABIEN, HGL DULANJANA, B JEAN, F SIMON
WO Patent WO2022098731A1, 2022
2022
LEARNED VIDEO COMPRESSION FRAMEWORK FOR MULTIPLE MACHINE TASKS
R FABIEN, HGL DULANJANA, P AKSHAY, B JEAN
WO Patent WO2022098727A1, 2022
2022
Interplay between vertical sectorization and user distribution for urban NB-IoT networks
LD Chamain, MC Ilter, J Hämäläinen, Z Ding
2022 IEEE Wireless Communications and Networking Conference (WCNC), 1401-1406, 2022
2022
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