default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMohan S. Kankanhalli
Person information
- affiliation: National University of Singapore, Department of Computer Science, Singapore
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j174]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): 2:1-2:31 (2024)- [j173]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): 673-688 (2024) - [j172]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: 127682 (2024) - [j171]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): 35-48 (2024) - [j170]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: 1065-1075 (2024) - [j169]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: 6131-6141 (2024) - [j168]Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Fast Yet Effective Machine Unlearning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13046-13055 (2024) - [j167]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): 48:1-48:23 (2024) - [j166]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): 49:1-49:18 (2024) - [j165]Xiaoling Gu, Junkai Zhu, Yongkang Wong, Zizhao Wu, Jun Yu, Jianping Fan, Mohan S. Kankanhalli:
Recurrent Appearance Flow for Occlusion-Free Virtual Try-On. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 239:1-239:17 (2024) - [c267]Yangyang Guo, Guangzhi Wang, Mohan S. Kankanhalli:
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation. CVPR 2024: 15699-15709 - [c266]Guangzhi Wang, Yangyang Guo, Ziwei Xu, Mohan S. Kankanhalli:
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness. CVPR 2024: 27970-27980 - [c265]Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli:
Finetuning Text-to-Image Diffusion Models for Fairness. ICLR 2024 - [c264]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 - [c263]Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli:
AutoLoRa: An Automated Robust Fine-Tuning Framework. ICLR 2024 - [c262]Wei Li, Hehe Fan, Yongkang Wong, Yi Yang, Mohan S. Kankanhalli:
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning. ICML 2024 - [c261]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: 2866-2875 - [c260]Kajal Kansal, Yongkang Wong, Mohan S. Kankanhalli:
Privacy-Enhancing Person Re-identification Framework - A Dual-Stage Approach. WACV 2024: 8528-8537 - [i114]Ziwei Xu, Sanjay Jain, Mohan S. Kankanhalli:
Hallucination is Inevitable: An Innate Limitation of Large Language Models. CoRR abs/2401.11817 (2024) - [i113]Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Diffusion Facial Forgery Detection. CoRR abs/2401.15859 (2024) - [i112]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 abs/2402.09288 (2024) - [i111]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 abs/2403.06520 (2024) - [i110]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 abs/2404.08111 (2024) - [i109]Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Cluster-based Graph Collaborative Filtering. CoRR abs/2404.10321 (2024) - [i108]Zeyu Ling, Bo Han, Yongkang Wang, Han Lin, Mohan S. Kankanhalli, Weidong Geng:
MCM: Multi-condition Motion Synthesis Framework. CoRR abs/2404.12886 (2024) - [i107]Nana Wang, Mohan S. Kankanhalli:
DPTraj-PM: Differentially Private Trajectory Synthesis Using Prefix Tree and Markov Process. CoRR abs/2404.14106 (2024) - [i106]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 abs/2405.12538 (2024) - [i105]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 abs/2405.13911 (2024) - [i104]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Multi-Modal Recommendation Unlearning. CoRR abs/2405.15328 (2024) - [i103]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 abs/2405.16934 (2024) - [i102]Zenghao Chai, Chen Tang, Yongkang Wong, Mohan S. Kankanhalli:
STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting. CoRR abs/2406.04629 (2024) - 2023
- [j164]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): 525-538 (2023) - [j163]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): 1682-1699 (2023) - [j162]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): 2181-2192 (2023) - [j161]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): 308-320 (2023) - [j160]Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli:
Zero-Shot Machine Unlearning. IEEE Trans. Inf. Forensics Secur. 18: 2345-2354 (2023) - [j159]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: 3836-3846 (2023) - [j158]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25: 1738-1748 (2023) - [j157]Guangzhi Wang, Yangyang Guo, Ziwei Xu, Yongkang Wong, Mohan S. Kankanhalli:
Semantic-Aware Triplet Loss for Image Classification. IEEE Trans. Multim. 25: 4563-4572 (2023) - [j156]Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. IEEE Trans. Multim. 25: 7149-7159 (2023) - [j155]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): 103:1-103:22 (2023) - [c259]Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. AAAI 2023: 2501-2509 - [c258]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: 7210-7217 - [c257]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: 4531-4540 - [c256]Hehe Fan, Linchao Zhu, Yi Yang, Mohan S. Kankanhalli:
PointListNet: Deep Learning on 3D Point Lists. CVPR 2023: 17692-17701 - [c255]Hehe Fan, Zhangyang Wang, Yi Yang, Mohan S. Kankanhalli:
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. ICLR 2023 - [c254]Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Deep Regression Unlearning. ICML 2023: 33921-33939 - [c253]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: 5634-5644 - [c252]Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. ACM Multimedia 2023: 6567-6575 - [c251]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: 7101-7110 - [c250]Danni Xu, Shaojing Fan, Mohan S. Kankanhalli:
Combating Misinformation in the Era of Generative AI Models. ACM Multimedia 2023: 9291-9298 - [c249]Mohan S. Kankanhalli, Marcel Worring:
Panel: Multimodal Large Foundation Models. ACM Multimedia 2023: 9709 - [c248]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: 9731-9733 - [c247]Satoshi Yamazaki, Jianquan Liu, Mohan S. Kankanhalli:
Sequential Action Retrieval for Generating Narratives from Long Videos. NarSUM@MM 2023: 25-29 - [c246]Rishabh Sheoran, Yongkang Wong, Jianquan Liu, Mohan S. Kankanhalli:
Narrative Graph for Narrative Generation from Long Videos. NarSUM@MM 2023: 31-40 - [c245]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. NeurIPS 2023 - [c244]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. NeurIPS 2023 - [e16]Mohan S. Kankanhalli, Ioannis (Yiannis) Patras, Jianquan Liu, Yongkang Wong, Takahiro Komamizu:
Proceedings of the 2nd Workshop on User-centric Narrative Summarization of Long Videos, NarSUM 2023, Ottawa ON, Canada, 29 October 2023. ACM 2023 [contents] - [i101]Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. CoRR abs/2301.05372 (2023) - [i100]Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Learning to Agree on Vision Attention for Visual Commonsense Reasoning. CoRR abs/2302.02117 (2023) - [i99]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. CoRR abs/2302.03857 (2023) - [i98]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. CoRR abs/2305.00374 (2023) - [i97]Shaojing Fan, Ramesh C. Jain, Mohan S. Kankanhalli:
A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. CoRR abs/2305.05962 (2023) - [i96]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 abs/2305.11522 (2023) - [i95]Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan S. Kankanhalli, Ying Shan:
What Makes for Good Visual Tokenizers for Large Language Models? CoRR abs/2305.12223 (2023) - [i94]Tao Zhuo, Zhiyong Cheng, Zan Gao, Mohan S. Kankanhalli:
Continual Learning with Strong Experience Replay. CoRR abs/2305.13622 (2023) - [i93]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 abs/2307.06569 (2023) - [i92]Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Towards Generalizable Deepfake Detection by Primary Region Regularization. CoRR abs/2307.12534 (2023) - [i91]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 abs/2307.13250 (2023) - [i90]Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli:
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. CoRR abs/2307.14866 (2023) - [i89]Yue Zhang, Hehe Fan, Yi Yang, Mohan S. Kankanhalli:
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation. CoRR abs/2307.16803 (2023) - [i88]Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR abs/2308.03113 (2023) - [i87]Zeyu Ling, Bo Han, Yongkang Wong, Mohan S. Kankanhalli, Weidong Geng:
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario. CoRR abs/2309.03031 (2023) - [i86]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation. CoRR abs/2309.16173 (2023) - [i85]Yangyang Guo, Haoyu Zhang, Liqiang Nie, Yongkang Wong, Mohan S. Kankanhalli:
ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens. CoRR abs/2309.16738 (2023) - [i84]Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli:
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. CoRR abs/2310.01818 (2023) - [i83]Tao Zhuo, Zhiyong Cheng, Hehe Fan, Mohan S. Kankanhalli:
Prior-Free Continual Learning with Unlabeled Data in the Wild. CoRR abs/2310.10417 (2023) - [i82]Yangyang Guo, Guangzhi Wang, Mohan S. Kankanhalli:
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation. CoRR abs/2310.10700 (2023) - [i81]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 abs/2310.10942 (2023) - [i80]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 abs/2310.13345 (2023) - [i79]Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli:
Finetuning Text-to-Image Diffusion Models for Fairness. CoRR abs/2311.07604 (2023) - [i78]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 abs/2311.16475 (2023) - [i77]Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. CoRR abs/2312.14433 (2023) - [i76]Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. CoRR abs/2312.16275 (2023) - 2022
- [j154]Shuang Wu, Mohan S. Kankanhalli, Anthony K. H. Tung:
Superclass-aware network for few-shot learning. Comput. Vis. Image Underst. 216: 103349 (2022) - [j153]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): 48:1-48:24 (2022) - [j152]Yamin Han, Tao Zhuo, Peng Zhang, Wei Huang, Yufei Zha, Yanning Zhang, Mohan S. Kankanhalli:
One-shot Video Graph Generation for Explainable Action Reasoning. Neurocomputing 488: 212-225 (2022) - [j151]Meng Liu, Yan Yan, Tian Gan, Hua Huang, Mohan S. Kankanhalli:
Editorial. Multim. Syst. 28(2): 361-362 (2022) - [j150]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): 9918-9930 (2022) - [j149]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: 108718 (2022) - [j148]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
Recognition of Advertisement Emotions With Application to Computational Advertising. IEEE Trans. Affect. Comput. 13(2): 781-792 (2022) - [j147]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): 275-285 (2022) - [j146]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): 5931-5943 (2022) - [j145]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): 8114-8127 (2022) - [j144]Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli:
Unsupervised Spatial-Spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j143]Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan S. Kankanhalli:
Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition. IEEE Trans. Multim. 24: 3652-3664 (2022) - [j142]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): 7655-7666 (2022) - [j141]Guofei Sun, Yongkang Wong, Mohan S. Kankanhalli, Xiangdong Li, Weidong Geng:
Enhanced 3D Shape Reconstruction With Knowledge Graph of Category Concept. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 71:1-71:20 (2022) - [c243]Dick C. A. Bulterman, Mohan S. Kankanhalli, Giovanni Pilato, Phillip Chen-Yu Sheu:
Message from the General Chairs: IEEE BigMM 2022. BigMM 2022: ix-x - [c242]Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan S. Kankanhalli:
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels. CVPR 2022: 6367-6376 - [c241]Yifan Lei, Qiang Huang, Mohan S. Kankanhalli, Anthony K. H. Tung:
DIOT: Detecting Implicit Obstacles from Trajectories. DASFAA (1) 2022: 232-240 - [c240]Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection. ECCV (24) 2022: 654-672 - [c239]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests. ICML 2022: 24743-24769 - [c238]Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn:
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract). IJCAI 2022: 5762-5766 - [c237]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: 2061-2069 - [c236]Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Distance Matters in Human-Object Interaction Detection. ACM Multimedia 2022: 4546-4554 - [c235]Yongkang Wong, Shaojing Fan, Yangyang Guo, Ziwei Xu, Karen Stephen, Rishabh Sheoran, Anusha Bhamidipati, Vivek Barsopia, Jianquan Liu, Mohan S. Kankanhalli:
Compute to Tell the Tale: Goal-Driven Narrative Generation. ACM Multimedia 2022: 6875-6882 - [c234]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: 7400-7401 - [c233]Mohan S. Kankanhalli, Jianquan Liu, Yongkang Wong, Karen Stephen:
Panel Discussion: Emerging Topics on Video Summarization. NarSUM@MM 2022: 5 - [c232]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 - [c231]