| 2021 | ICASSP | A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. | Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Bjrn W. Schuller |
| 2021 | MMSP | Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music. | Srividya Tirunellai Rajamani, Kumar T. Rajamani, Bjrn W. Schuller |
| 2016 | BMVC | Variational Weakly Supervised Gaussian Processes. | Melih Kandemir, Manuel Haumann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht |
| 2016 | ECCV | Gaussian Process Density Counting from Weak Supervision. | Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht |
| 2006 | ACCV | Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study. | Guoyan Zheng, Kumar T. Rajamani, Lutz-Peter Nolte |
| 2004 | MICCAI | A Novel Approach to Anatomical Structure Morphing for Intraoperative Visualization. | Kumar T. Rajamani, Lutz-Peter Nolte, Martin Styner |