Deepu Rajan
Associate Professor
Works on image and video processing, computer vision and multimedia signal processing.
Deepu Rajan's lab at NTU works on video understanding, signal processing & information theory and data management & big data. 17 papers since 2023, 2 at top venues, mostly WACV and ECCV. 23 alumni.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 12%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 1
- 6 papers2024 · T1 1
- 3 papers2023 · T1 0
T1 venuesOtherVenues: WACV, ECCV, ICLR, ICME, ICPR
Research focuspaper titles that use each topic's words
- Video understanding3 papers
- Signal processing & information theory0 papers
- Data management & big data0 papers
- multimedia signal0 papers
- video processing0 papers
Paper list
From the lab homepage.
20262 papers
- —A-V representational learning via audio shift prediction for multimodal deepfake detection and temporal localization
- —vulnerability of video foundation models without task knowledge, AAAI, Singapore, 2026
20256 papers
- ICLR (T1)Action Sequence Augmentation for Action Anticipation
- WACVAn Encoder-Agnostic Unsupervised Method For Describing Textures
- —IMoRe: Implicit program-guided reasoning for human motion Q&A
- —Intra-modal and cross-modal synchronization for audio-visual deepfake detection and temporal localization
- WACVSituational Scene Graph for Structured Human-centric Situation Understanding
- ICMEZheng, E. S. Chng, D. Rajan, “Large language models meet contrastive learning
20246 papers
- 127285A multivariate Markov chain model for interpretable dense action anticipation
- —A unified framework for guiding generative AI with wireless perception in resource constrained mobile edge networks
- 3470-3481, JulyActivation control of vision models for sustainable AI systems
- 190-201Controllable video generation with text-based instructions
- ICPRImproving temporal action segmentation and detection with hierarchical grammar
- ECCV (T1)Multiscale graph texture network
20233 papers
- —Cross-modality and within-modality regularization for audio-visual deepfake detection
- —Towards balanced active learning for multimodal classification
- —UniS-MMC: Multimodal classification via unimodality-supervised multimodal contrastive learning
Where alumni went23 listed
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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