Mohan Kankanhalli
Provost's Chair Professor
Works on multimodal computing, image and video understanding, visual saliency and trustworthy AI; directs the NUS AI Institute.
Mohan Kankanhalli's lab at NUS works on video understanding, vision-language & multimodal and trustworthy & safe ML. 88 papers since 2023, 38 at top venues, mostly ACM MM and CVPR. 7 PhD students and 1 master's student. 61 alumni. Applications close .
At a glance
- papers, 2023–2026
- 23/ year
- at T1 venues
- 43%
- PhD students
- 7
- MS students
- 1
- alumni listed
- 61
Papers by yearfrom DBLP, 2023–2026
- 16 papers2026 · T1 4 · collecting
- 20 papers2025 · T1 9
- 26 papers2024 · T1 13
- 26 papers2023 · T1 12
T1 venuesOtherVenues: ACM MM, CVPR, NeurIPS, AAAI, ICLR
Research focuspaper titles that use each topic's words
- Vision-language & multimodal20 papers
- Video understanding9 papers
- Trustworthy & safe ML2 papers
- nus0 papers
- trustworthy0 papers
Paper list
From DBLP.
202616 papers
- ACM Trans. Multim. Comput. Commun. Appl.3D Scenes Motion Planning and Generation with Motion Diffusion Probabilistic Model (opens in a new tab)
- AAAI (T1)Aggregating Diverse Cue Experts for AI-Generated Image Detection (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Distill to Delete: Unlearning in Graph Networks With Knowledge Distillation (opens in a new tab)
- ACM Trans. Spatial Algorithms Syst.DPTraj-PM: Differentially Private Trajectory Synthesis Using Prefix Tree and Markov Process (opens in a new tab)
- Image Vis. Comput.Editorial to special issue on selected extended works from 9th international conference on computer vision & image processing (CVIP) 2024 (opens in a new tab)
- ComputerFighting Misinformation on Social Media: Why People Share Fake News and Whether Credibility Indicators Help (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Introduction to the Special Issue on Multimodal Video Understanding and Analysis with Foundation Models (opens in a new tab)
- Trans. Mach. Learn. Res.Involuntary Jailbreak: On Self-Prompting Attacks (opens in a new tab)
- CVPR (T1)MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer (opens in a new tab)
- ComputerModeling Human Responses to Multimodal AI Content (opens in a new tab)
- IEEE Trans. Artif. Intell.Nearest Neighbor Projection Removal Adversarial Training (opens in a new tab)
- AAAI (T1)Object-Centric Framework for Video Moment Retrieval (opens in a new tab)
202520 papers
- ACM MMA New Dataset and Benchmark for Grounding Multimodal Misinformation (opens in a new tab)
- ACM MMEnhancing HOI Detection with Contextual Cues from Large Vision-Language Models (opens in a new tab)
- NeurIPS (T1)Fair Deepfake Detectors Can Generalize (opens in a new tab)
- ACM MMFractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks (opens in a new tab)
- ACM MMGroMo25: ACM Multimedia 2025 Grand Challenge for Plant Growth Modeling with Multiview Images (opens in a new tab)
- IJCV (T1)Image-Based Virtual Try-On: A Survey (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Implications of Privacy Regulations on Video Surveillance Systems (opens in a new tab)
- CVPR (T1)Joint Vision-Language Social Bias Removal for CLIP (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Learning to Predict Gradients for Semi-Supervised Continual Learning (opens in a new tab)
- Digit. Gov. Res. Pract.Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy (opens in a new tab)
- AAAI (T1)Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints (opens in a new tab)
- Findings of EMNLPNine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework (opens in a new tab)
202426 papers
- ACM Trans. Comput. Heal.A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications (opens in a new tab)
- ICLR (T1)An LLM can Fool Itself: A Prompt-Based Adversarial Attack (opens in a new tab)
- ACM MMAttribute-driven Disentangled Representation Learning for Multimodal Recommendation (opens in a new tab)
- ICLR (T1)AutoLoRa: An Automated Robust Fine-Tuning Framework (opens in a new tab)
- TKDE (T1)Balanced Class-Incremental 3D Object Classification and Retrieval (opens in a new tab)
- CVPR (T1)Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness (opens in a new tab)
- ACM Trans. Inf. Syst.Cluster-Based Graph Collaborative Filtering (opens in a new tab)
- ACM MMDiffusion Facial Forgery Detection (opens in a new tab)
- KDD (T1)EcoVal: An Efficient Data Valuation Framework for Machine Learning (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Fast Yet Effective Machine Unlearning (opens in a new tab)
- ICLR (T1)Finetuning Text-to-Image Diffusion Models for Fairness (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Gaussian Distribution-Aware Commonsense Knowledge Learning for Scene Graph Generation (opens in a new tab)
202326 papers
- AAAI (T1)Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher (opens in a new tab)
- ACM MMCombating Misinformation in the Era of Generative AI Models (opens in a new tab)
- ICLR (T1)Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins (opens in a new tab)
- ICML (T1)Deep Regression Unlearning (opens in a new tab)
- IEEE Trans. Multim.Disentangled Multimodal Representation Learning for Recommendation (opens in a new tab)
- ACM MMDo Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR (opens in a new tab)
- CVPR (T1)DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment (opens in a new tab)
- NeurIPS (T1)Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection (opens in a new tab)
- TPAMI (T1)Emotional Attention: From Eye Tracking to Computational Modeling (opens in a new tab)
- NeurIPS (T1)Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization (opens in a new tab)
- TPAMI (T1)Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks (opens in a new tab)
- TIP (T1)Joint Answering and Explanation for Visual Commonsense Reasoning (opens in a new tab)
Where alumni went61 listed
Apply to NUSFall 2027
School of Computing PhD in Computer Science
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