Deepu Rajan Associate Professor College of Computing and Data Science Nanyang Technological University Blk N4, Nanyang Avenue Singapore 639798 Email: asdrajan [AT] ntu.edu.sg

Depth really Matters: Improving Visual Salient Region Detection with Depth. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and … Advances in Multimedia Information Processing-PCM 2004: 5th Pacific Rim … Proceedings of the 13th annual ACM international conference on Multimedia …

From April 1992 until May 2002, he was a lecturer in the Department of Electronics at Cochin University of Science and Technology, India. Since June 2002, he has been Assistant Professor in the College of Computing & Data Science at Nanyang Technological University, Singapore.

Deepu Rajan is an Associate Professor in the School of Computer Science and Engineering at Nanyang Technological University, Singapore. He received his Bachelor of Engineering degree in Electronics and Communication Engineering from Birla Institute of Technology, Ranchi (India), M.S. in Electrical Engineering from Clemson University (USA) and ...

Deepu Rajan received the BE degree in Electronics and Communication Engineering from Birla Institute of Technology, Ranchi, the MS degree in Electrical Engineering from Clemson University and the PhD degree from Indian Institute of Technology, Bombay ...

Nominated for Nanyang Award for Teaching Excellence, 2008. Voted one of ten most popular lecturers by students, 2009. Dept. of Electronics & Communication Engg. AI for smart image understanding, S$522,900. Integrated multisensory systems …

Deepu Rajan. Assistant Professor. College of Computing and Data Science, Nanyang Technological University

Deepu Rajan. Associate Professor. College of Computing and Data Science, Nanyang Technological University

Deepu Rajan's 145 research works with 3,571 citations and 13,521 reads, including: Towards Balanced Active Learning for Multimodal Classification

Heqing Zou, Meng Shen, Yuchen Hu, Chen Chen, Eng Siong Chng, Deepu Rajan: Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection. CoRR abs/2401.05746 (2024)