Mohan S. Kankanhalli

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 299

Top Venues

CoRR

ACM Multimedia

IEEE Trans. Multim.

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli
Diffusion Facial Forgery Detection. CoRR (2024)
Ning Xu, Yanhui Wang, Tingting Zhang, Hongshuo Tian, Mohan S. Kankanhalli, An-An Liu
How to Understand Named Entities: Using Common Sense for News Captioning. CoRR (2024)
Zhenyang Li, Yangyang Guo, Kejie Wang, Xiaolin Chen, Liqiang Nie, Mohan S. Kankanhalli
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. CoRR (2024)
Ziwei Xu, Sanjay Jain, Mohan S. Kankanhalli
Hallucination is Inevitable: An Innate Limitation of Large Language Models. CoRR (2024)
Xiaoling Gu, Jie Huang, Yongkang Wong, Jun Yu, Jianping Fan, Pai Peng, Mohan S. Kankanhalli
PAINT: Photo-realistic Fashion Design Synthesis. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Zeyu Ling, Bo Han, Yongkang Wang, Han Lin, Mohan S. Kankanhalli, Weidong Geng
MCM: Multi-condition Motion Synthesis Framework. CoRR (2024)
Qingfeng Dai, Yongkang Wong, Guofei Sun, Yanwei Wang, Zhou Zhou, Mohan S. Kankanhalli, Xiangdong Li, Weidong Geng
Unsupervised Domain Adaptation by Causal Learning for Biometric Signal-based HCI. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Nana Wang, Mohan S. Kankanhalli
DPTraj-PM: Differentially Private Trajectory Synthesis Using Prefix Tree and Markov Process. CoRR (2024)
Heyu Zhou, An-An Liu, Chenyu Zhang, Ping Zhu, Qianyi Zhang, Mohan S. Kankanhalli
Multi-Modal Meta-Transfer Fusion Network for Few-Shot 3D Model Classification. Int. J. Comput. Vis. 132 (3) (2024)
Yi Cheng, Ziwei Xu, Dongyun Lin, Harry Cheng, Yongkang Wong, Ying Sun, Joo Hwee Lim, Mohan S. Kankanhalli
Bridging the Intent Gap: Knowledge-Enhanced Visual Generation. CoRR (2024)
An-An Liu, Haochun Lu, Heyu Zhou, Tian-Bao Li, Mohan S. Kankanhalli
Balanced Class-Incremental 3D Object Classification and Retrieval. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR (2024)
Xiaoling Gu, Shengwenzhuo Xu, Yongkang Wong, Zizhao Wu, Jun Yu, Jianping Fan, Mohan S. Kankanhalli
Multi2Human: Controllable human image generation with multimodal controls. Neurocomputing 587 (2024)
Yash Sinha, Murari Mandal, Mohan S. Kankanhalli
Multi-Modal Recommendation Unlearning. CoRR (2024)
Zenghao Chai, Chen Tang, Yongkang Wong, Mohan S. Kankanhalli
STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting. CoRR (2024)
Wei Li, Hehe Fan, Yongkang Wong, Mohan S. Kankanhalli, Yi Yang
TOPA: Extend Large Language Models for Video Understanding via Text-Only Pre-Alignment. CoRR (2024)
Shaojing Fan, Ramesh C. Jain, Mohan S. Kankanhalli
A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Trans. Comput. Heal. 5 (1) (2024)
Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli
Finetuning Text-to-Image Diffusion Models for Fairness. ICLR (2024)
Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen, Mohan S. Kankanhalli
EcoVal: An Efficient Data Valuation Framework for Machine Learning. CoRR (2024)
Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen, Mohan S. Kankanhalli
EcoVal: An Efficient Data Valuation Framework for Machine Learning. KDD (2024)
Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing. CoRR (2024)
Kajal Kansal, Yongkang Wong, Mohan S. Kankanhalli
Privacy-Enhancing Person Re-identification Framework - A Dual-Stage Approach. WACV (2024)
Yi Cheng, Hehe Fan, Dongyun Lin, Ying Sun, Mohan S. Kankanhalli, Joo-Hwee Lim
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering. IEEE Trans. Multim. 26 (2024)
Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
Cluster-based Graph Collaborative Filtering. CoRR (2024)
Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli
AutoLoRa: An Automated Robust Fine-Tuning Framework. ICLR (2024)
Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli
Learning to Agree on Vision Attention for Visual Commonsense Reasoning. IEEE Trans. Multim. 26 (2024)
Zhenyang Li, Yangyang Guo, Kejie Wang, Xiaolin Chen, Liqiang Nie, Mohan S. Kankanhalli
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. ACM Multimedia (2023)
Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli
Disentangled Multimodal Representation Learning for Recommendation. IEEE Trans. Multim. 25 (2023)
Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR (2023)
Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. CoRR (2023)
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. CoRR (2023)
Yi Cheng, Ziwei Xu, Fen Fang, Dongyun Lin, Hehe Fan, Yongkang Wong, Ying Sun, Mohan S. Kankanhalli
A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023. CoRR (2023)
Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. CoRR (2023)
Yanyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli
UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. CoRR (2023)
Tao Zhuo, Zhiyong Cheng, Hehe Fan, Mohan S. Kankanhalli
Prior-Free Continual Learning with Unlabeled Data in the Wild. CoRR (2023)
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. NeurIPS (2023)
Shaojing Fan, Zhiqi Shen, Bryan L. Koenig, Tian-Tsong Ng, Mohan S. Kankanhalli
When and Why Static Images Are More Effective Than Videos. IEEE Trans. Affect. Comput. 14 (1) (2023)
Shaojing Fan, Ramesh C. Jain, Mohan S. Kankanhalli
A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. CoRR (2023)
Yangyang Guo, Haoyu Zhang, Liqiang Nie, Yongkang Wong, Mohan S. Kankanhalli
ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens. CoRR (2023)
Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. CoRR (2023)
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. CoRR (2023)
Yangyang Guo, Guangzhi Wang, Mohan S. Kankanhalli
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation. CoRR (2023)
Yi Cheng, Hehe Fan, Dongyun Lin, Ying Sun, Mohan S. Kankanhalli, Joo-Hwee Lim
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering. CoRR (2023)
Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli
Towards Generalizable Deepfake Detection by Primary Region Regularization. CoRR (2023)
Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. CoRR (2023)
Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli
Finetuning Text-to-Image Diffusion Models for Fairness. CoRR (2023)
Zeyu Ling, Bo Han, Yongkang Wong, Mohan S. Kankanhalli, Weidong Geng
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario. CoRR (2023)
Rishabh Sheoran, Yongkang Wong, Jianquan Liu, Mohan S. Kankanhalli
Narrative Graph for Narrative Generation from Long Videos. NarSUM@MM (2023)
Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Mohan S. Kankanhalli, Qi Zhao
Emotional Attention: From Eye Tracking to Computational Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli
Zero-Shot Machine Unlearning. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher. AAAI (2023)
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR (2023)
Guangzhi Wang, Yangyang Guo, Mohan S. Kankanhalli
Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection. CoRR (2023)
Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli
Text to Point Cloud Localization with Relation-Enhanced Transformer. CoRR (2023)
Yu-Wei Zhan, Fan Liu, Xin Luo, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli
Generating Human-Centric Visual Cues for Human-Object Interaction Detection via Large Vision-Language Models. CoRR (2023)
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25 (2023)
Hehe Fan, Linchao Zhu, Yi Yang, Mohan S. Kankanhalli
PointListNet: Deep Learning on 3D Point Lists. CVPR (2023)
Mohan S. Kankanhalli, Marcel Worring
Panel: Multimodal Large Foundation Models. ACM Multimedia (2023)
Guangzhi Wang, Yangyang Guo, Ziwei Xu, Yongkang Wong, Mohan S. Kankanhalli
Semantic-Aware Triplet Loss for Image Classification. IEEE Trans. Multim. 25 (2023)
Satoshi Yamazaki, Jianquan Liu, Mohan S. Kankanhalli
Sequential Action Retrieval for Generating Narratives from Long Videos. NarSUM@MM (2023)
Heyuan Li, Bo Wang, Yu Cheng, Mohan S. Kankanhalli, Robby T. Tan
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment. CoRR (2023)
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
Semantic-Guided Feature Distillation for Multimodal Recommendation. ACM Multimedia (2023)
Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan S. Kankanhalli, Ying Shan
What Makes for Good Visual Tokenizers for Large Language Models? CoRR (2023)
Heyuan Li, Bo Wang, Yu Cheng, Mohan S. Kankanhalli, Robby T. Tan
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment. CVPR (2023)
Mohan S. Kankanhalli, Ioannis (Yiannis) Patras, Jianquan Liu, Yongkang Wong, Takahiro Komamizu, Satoshi Yamazaki, Karen Stephen, Kajal Kansal
NarSUM '23: The 2nd Workshop on User-Centric Narrative Summarization of Long Videos. ACM Multimedia (2023)
Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli
Joint Answering and Explanation for Visual Commonsense Reasoning. IEEE Trans. Image Process. 32 (2023)
Yue Zhang, Hehe Fan, Yi Yang, Mohan S. Kankanhalli
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation. CoRR (2023)
Hehe Fan, Zhangyang Wang, Yi Yang, Mohan S. Kankanhalli
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. ICLR (2023)
Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli
Text to Point Cloud Localization with Relation-Enhanced Transformer. AAAI (2023)
Tao Zhuo, Zhiyong Cheng, Zan Gao, Mohan S. Kankanhalli
Continual Learning with Strong Experience Replay. CoRR (2023)
Yash Sinha, Murari Mandal, Mohan S. Kankanhalli
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation. CoRR (2023)
Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. ACM Multimedia (2023)
Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo
On Modality Bias Recognition and Reduction. ACM Trans. Multim. Comput. Commun. Appl. 19 (3) (2023)
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. NeurIPS (2023)
Danni Xu, Shaojing Fan, Mohan S. Kankanhalli
Combating Misinformation in the Era of Generative AI Models. ACM Multimedia (2023)
Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli
Learning to Agree on Vision Attention for Visual Commonsense Reasoning. CoRR (2023)
Hehe Fan, Yi Yang, Mohan S. Kankanhalli
Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli
Deep Regression Unlearning. ICML (2023)
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests. ICML (2022)
Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli
Deep Regression Unlearning. CoRR (2022)
Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli
Distance Matters in Human-Object Interaction Detection. ACM Multimedia (2022)
Hehe Fan, Xin Yu, Yi Yang, Mohan S. Kankanhalli
Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
An-An Liu, Hongshuo Tian, Ning Xu, Weizhi Nie, Yongdong Zhang, Mohan S. Kankanhalli
Toward Region-Aware Attention Learning for Scene Graph Generation. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli
Joint Answering and Explanation for Visual Commonsense Reasoning. CoRR (2022)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
My Health Sensor, My Classifier - Adapting a Trained Classifier to Unlabeled End-User Data. ACM Trans. Comput. Heal. 3 (4) (2022)
Dan Song, Wei-Zhi Nie, Wenhui Li, Mohan S. Kankanhalli, An-An Liu
Monocular Image-Based 3-D Model Retrieval: A Benchmark. IEEE Trans. Cybern. 52 (8) (2022)
Ziwei Xu, Yogesh S. Rawat, Yongkang Wong, Mohan S. Kankanhalli, Mubarak Shah
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation. NeurIPS (2022)
Tao Zhuo, Mohan S. Kankanhalli
Effective Abstract Reasoning with Dual-Contrast Network. CoRR (2022)
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
Learning to Minimize the Remainder in Supervised Learning. CoRR (2022)
Hehe Fan, Tao Zhuo, Xin Yu, Yi Yang, Mohan S. Kankanhalli
Understanding Atomic Hand-Object Interaction With Human Intention. IEEE Trans. Circuits Syst. Video Technol. 32 (1) (2022)
Dick C. A. Bulterman, Mohan S. Kankanhalli, Giovanni Pilato, Phillip Chen-Yu Sheu
Message from the General Chairs: IEEE BigMM 2022. BigMM (2022)
Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan S. Kankanhalli
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. ACM Multimedia (2022)
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
Learning to Predict Gradients for Semi-Supervised Continual Learning. CoRR (2022)
Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo
On Modality Bias Recognition and Reduction. CoRR (2022)
Yi Cheng, Ying Sun, Hehe Fan, Tao Zhuo, Joo-Hwee Lim, Mohan S. Kankanhalli
Entropy guided attention network for weakly-supervised action localization. Pattern Recognit. 129 (2022)
Mohan S. Kankanhalli, Jianquan Liu, Yongkang Wong, Karen Stephen, Rishabh Sheoran, Anusha Bhamidipati
NarSUM '22: 1st Workshop on User-centric Narrative Summarization of Long Videos. ACM Multimedia (2022)
Mohan S. Kankanhalli, Jianquan Liu, Yongkang Wong, Karen Stephen
Panel Discussion: Emerging Topics on Video Summarization. NarSUM@MM (2022)
Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher. CoRR (2022)
Yubao Sun, Xunhao Chen, Mohan S. Kankanhalli, Qingshan Liu, Junxia Li
Video Snapshot Compressive Imaging Using Residual Ensemble Network. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohan S. Kankanhalli