Srividya Tirunellai Rajamani

19 papers C 1Misc 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture.
CoRR
Sunil Munthumoduku Krishna Murthy, Kumar T. Rajamani, Srividya Tirunellai Rajamani, Yupei Li, Qiyang Sun, Björn W. Schuller
2024 — conf
CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases.
EMBC
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Angeline J, Karthika R, Björn W. Schuller
2024 — —
Deep Learning for health data: attention, activations and beyond.
Srividya Tirunellai Rajamani
2023 — conf
A novel and simple approach to regularise attention frameworks and its efficacy in segmentation.
EMBC
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2023 J jnl
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare.
CoRR
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
2023 J jnl
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.
Frontiers Digit. Health
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
2023 J jnl
Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation.
IEEE Access
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller
2022 — conf
Deformable attention (DANet) for semantic image segmentation.
EMBC
Kumar Rajamani, Sahana D. Gowda, Vishwa Nedunoori Tej, Srividya Tirunellai Rajamani
2022 — conf
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data.
EMBC
Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
2022 J jnl
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data.
CoRR
Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
2022 — conf
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting.
EMBC
Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
2022 J jnl
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting.
CoRR
Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
2022 — conf
Novel Insights on Induced Sparsity in Multi-Time Attention Networks.
EMBC
Srividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, Björn W. Schuller
2022 — conf
Novel no-reference multi-dimensional perceptual similarity metric.
EMBC
Srividya Tirunellai Rajamani, Kumar Rajamani, Priya Rani, Rashmita Barick, Ramasubramanya M. S, Sridevi V. Aithal, Elagiri Ramalingam Rajkumar, Sahana D. Gowda, Björn W. Schuller
2022 J jnl
Personalised depression forecasting using mobile sensor data and ecological momentary assessment.
Frontiers Digit. Health
Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
2021 Misc conf
A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition.
ICASSP
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
2021 C conf
Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music.
MMSP
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2020 — conf
Emotion and Theme Recognition in Music Using Attention-Based Methods.
MediaEval
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2020 — conf
Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks.
MediaEval
Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller