Debaditya Shome
Debaditya Shome
Home
Publications
Projects
Posts
Talks
Contact
Light
Dark
Automatic
Publications
Type
Conference paper
Journal article
Preprint
Date
2023
2021
Debaditya Shome
,
Pritam Sarkar
,
Ali Etemad
(2023).
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
. Published at
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24)
.
Debaditya Shome
,
T. Kar
(2021).
ConOffense: Multi-modal multitask Contrastive learning for offensive content identification
. Presented at
MMBD workshop, IEEE Big Data 2021
.
PDF
Debaditya Shome
(2021).
RestHAR: Residual feature learning transformer for human activity recognition from multi-sensor data
. Presented at
8th Intl. Conference on Soft Computing & Machine Intelligence
.
PDF
Benjamin Lea
,
Debaditya Shome
,
Omer Waqar
,
Jabed Tomal
(2021).
Sum rate maximization of D2D networks with energy constrained UAVs through deep unsupervised learning
. Presented at
IEEE UEMCON 2021, New York, USA
.
Slides
Debaditya Shome
,
T. Kar
(2021).
FedAffect: Few-Shot Federated Learning for Facial Expression Recognition
. In
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops
.
PDF
Cite
Poster
Video
Debaditya Shome
,
T. Kar
,
SN Mohanty
,
Prayag Tiwari
,
Khan Muhammad
,
Abdullah AlTameem
,
Yazhou Zhang
,
AKJ Saudagar
(2021).
COVID-Transformer: Interpretable COVID-19 Detection using Vision Transformer for Healthcare
. Published at
MDPI International Journal of Environmental Research and Public Health (Digital health track), Impact Factor: 3.39
.
PDF
Debaditya Shome
,
Omer Waqar
(2021).
Federated learning and next generation wireless communications: A survey on bidirectional relationship
. Accepted (minor revision) at
Transactions on Emerging Telecommunications Technologies
.
PDF
Debaditya Shome
(2021).
EmoHinD: Fine-grained multilabel emotion recognition from Hindi texts with Deep learning
. Presented at
12th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES, IIT, KHARAGPUR
.
PDF
Debaditya Shome
,
Ankit Kudeshia
(2021).
Deep Q-learning for 5G network slicing with diverse resource stipulations and dynamic data traffic
. In
Proceedings of 2021 IEEE International Conference on Artificial Intelligence in Information and Communication
.
PDF
Cite
Slides
Cite
×