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ORCIDMohan S. Kankanhalli
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- affiliation: National University of Singapore, Department of Computer Science, Singapore
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2020 – today
- 2023
[j162]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)- [j161]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) - [j160]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) - [j159]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) - [j158]Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli:
Zero-Shot Machine Unlearning. IEEE Trans. Inf. Forensics Secur. 18: 2345-2354 (2023) - [j157]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) - [j156]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25: 1738-1748 (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) - [c248]Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. AAAI 2023: 2501-2509 - [c247]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 - [c246]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 - [c245]Hehe Fan, Linchao Zhu, Yi Yang, Mohan S. Kankanhalli:
PointListNet: Deep Learning on 3D Point Lists. CVPR 2023: 17692-17701 - [c244]Hehe Fan, Zhangyang Wang, Yi Yang, Mohan S. Kankanhalli:
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. ICLR 2023 - [c243]Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Deep Regression Unlearning. ICML 2023: 33921-33939 - [i90]Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. CoRR abs/2301.05372 (2023) - [i89]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) - [i88]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) - [i87]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. CoRR abs/2305.00374 (2023) - [i86]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) - [i85]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) - [i84]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) - [i83]Tao Zhuo, Zhiyong Cheng, Zan Gao, Mohan S. Kankanhalli:
Continual Learning with Strong Experience Replay. CoRR abs/2305.13622 (2023) - [i82]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) - [i81]Guangzhi Wang, Yangyang Guo, Mohan S. Kankanhalli:
Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection. CoRR abs/2307.10499 (2023) - [i80]Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Towards Generalizable Deepfake Detection by Primary Region Regularization. CoRR abs/2307.12534 (2023) - [i79]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) - [i78]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) - [i77]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) - [i76]Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR abs/2308.03113 (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) - [c242]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 - [c241]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 - [c240]Yifan Lei, Qiang Huang, Mohan S. Kankanhalli, Anthony K. H. Tung:
DIOT: Detecting Implicit Obstacles from Trajectories. DASFAA (1) 2022: 232-240 - [c239]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 - [c238]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 - [c237]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 - [c236]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 - [c235]Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Distance Matters in Human-Object Interaction Detection. ACM Multimedia 2022: 4546-4554 - [c234]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 - [c233]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 - [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]Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. SIGIR 2022: 1379-1389 - [i75]Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli:
Zero-Shot Machine Unlearning. CoRR abs/2201.05629 (2022) - [i74]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. CoRR abs/2201.09193 (2022) - [i73]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. CoRR abs/2201.09196 (2022) - [i72]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. CoRR abs/2202.03077 (2022) - [i71]Yifan Lei, Qiang Huang, Mohan S. Kankanhalli, Anthony K. H. Tung:
DIOT: Detecting Implicit Obstacles from Trajectories. CoRR abs/2202.11016 (2022) - [i70]Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Joint Answering and Explanation for Visual Commonsense Reasoning. CoRR abs/2202.12626 (2022) - [i69]Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo:
On Modality Bias Recognition and Reduction. CoRR abs/2202.12690 (2022) - [i68]Fan Liu, Zhiyong Cheng, Huilin Chen, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. CoRR abs/2203.05406 (2022) - [i67]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 abs/2205.08096 (2022) - [i66]Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan S. Kankanhalli:
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences. CoRR abs/2205.13713 (2022) - [i65]Tao Zhuo, Mohan S. Kankanhalli:
Effective Abstract Reasoning with Dual-Contrast Network. CoRR abs/2205.13720 (2022) - [i64]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. CoRR abs/2206.14989 (2022) - [i63]Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Distance Matters in Human-Object Interaction Detection. CoRR abs/2207.01869 (2022) - [i62]Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection. CoRR abs/2207.02400 (2022) - [i61]Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. CoRR abs/2209.13133 (2022) - [i60]Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Deep Regression Unlearning. CoRR abs/2210.08196 (2022) - 2021
- [j140]Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli:
Using Under-Trained Deep Ensembles to Learn Under Extreme Label Noise: A Case Study for Sleep Apnea Detection. IEEE Access 9: 45919-45934 (2021) - [j139]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. J. Artif. Intell. Res. 72: 1163-1214 (2021) - [j138]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1928-1946 (2021) - [j137]Hamam Mokayed, Palaiahnakote Shivakumara, Hock Woon Hon, Mohan S. Kankanhalli, Tong Lu, Umapada Pal:
A new DCT-PCM method for license plate number detection in drone images. Pattern Recognit. Lett. 148: 45-53 (2021) - [j136]Ning Xu, An-An Liu, Yongkang Wong, Weizhi Nie, Yuting Su, Mohan S. Kankanhalli:
Scene Graph Inference via Multi-Scale Context Modeling. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1031-1041 (2021) - [j135]Tao Zhuo, Qiang Huang, Mohan S. Kankanhalli:
Unsupervised Abstract Reasoning for Raven's Problem Matrices. IEEE Trans. Image Process. 30: 8332-8341 (2021) - [j134]Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan S. Kankanhalli, Weidong Geng, Xiangdong Li:
DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning. IEEE Trans. Multim. 23: 497-509 (2021) - [j133]Erik Quintanilla, Yogesh S. Rawat, Andrey Sakryukin, Mubarak Shah, Mohan S. Kankanhalli:
Adversarial Learning for Personalized Tag Recommendation. IEEE Trans. Multim. 23: 1083-1094 (2021) - [j132]Xiaoling Gu, Jun Yu, Yongkang Wong, Mohan S. Kankanhalli:
Toward Multi-Modal Conditioned Fashion Image Translation. IEEE Trans. Multim. 23: 2361-2371 (2021) - [j131]Yuhui Wang, Francesco Gelli, Christian von der Weth, Mohan S. Kankanhalli:
A Matrix Factorization Based Framework for Fusion of Physical and Social Sensors. IEEE Trans. Multim. 23: 2782-2793 (2021) - [j130]Lokesh Nandanwar, Palaiahnakote Shivakumara, Divya Krishnani, Raghavendra Ramachandra, Tong Lu, Umapada Pal, Mohan S. Kankanhalli:
A New Foreground-Background based Method for Behavior-Oriented Social Media Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 132:1-132:25 (2021) - [c230]Hehe Fan, Yi Yang, Mohan S. Kankanhalli:
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos. CVPR 2021: 14204-14213 - [c229]Xiheng Zhang, Yongkang Wong, Xiaofei Wu, Juwei Lu, Mohan S. Kankanhalli, Xiangdong Li, Weidong Geng:
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions. ICCV 2021: 11250-11260 - [c228]Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan S. Kankanhalli:
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences. ICLR 2021 - [c227]Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. ICLR 2021 - [c226]Tao Zhuo, Mohan S. Kankanhalli:
Effective Abstract Reasoning with Dual-Contrast Network. ICLR 2021 - [c225]Anshu Singh, Shaojing Fan, Mohan S. Kankanhalli:
Human Attributes Prediction under Privacy-preserving Conditions. ACM Multimedia 2021: 4698-4706 - [c224]Hehe Fan, Mohan S. Kankanhalli:
Motion = Video - Content: Towards Unsupervised Learning of Motion Representation from Videos. MMAsia 2021: 2:1-2:7 - [c223]Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Unsupervised Motion Representation Learning with Capsule Autoencoders. NeurIPS 2021: 3205-3217 - [c222]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. NeurIPS 2021: 21533-21544 - [e14]Wen-Huang Cheng, Mohan S. Kankanhalli, Meng Wang, Wei-Ta Chu, Jiaying Liu, Marcel Worring:
ICMR '21: International Conference on Multimedia Retrieval, Taipei, Taiwan, August 21-24, 2021. ACM 2021, ISBN 978-1-4503-8463-6 [contents] - [i59]Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama:
Understanding the Interaction of Adversarial Training with Noisy Labels. CoRR abs/2102.03482 (2021) - [i58]Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan S. Kankanhalli:
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition. CoRR abs/2108.04603 (2021) - [i57]Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks. CoRR abs/2109.00545 (2021) - [i56]Tao Zhuo, Qiang Huang, Mohan S. Kankanhalli:
Unsupervised Abstract Reasoning for Raven's Problem Matrices. CoRR abs/2109.10011 (2021) - [i55]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. CoRR abs/2110.00054 (2021) - [i54]Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Unsupervised Motion Representation Learning with Capsule Autoencoders. CoRR abs/2110.00529 (2021) - [i53]Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Fast Yet Effective Machine Unlearning. CoRR abs/2111.08947 (2021) - 2020
- [j129]Nana Wang, Mohan S. Kankanhalli:
Protecting sensitive place visits in privacy-preserving trajectory publishing. Comput. Secur. 97: 101949 (2020) - [j128]Mohan S. Kankanhalli:
Multimedia Data Privacy Against Machines. IEEE Multim. 27(2): 5-7 (2020) - [j127]Gökhan Yildirim, Debashis Sen, Mohan S. Kankanhalli, Sabine Süsstrunk:
Evaluating salient object detection in natural images with multiple objects having multi-level saliency. IET Image Process. 14(10): 2249-2262 (2020) - [j126]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. Int. J. Comput. Vis. 128(6): 1750-1764 (2020) - [j125]Shaojing Fan, Bryan L. Koenig, Qi Zhao, Mohan S. Kankanhalli:
A Deeper Look at Human Visual Perception of Images. SN Comput. Sci. 1(1): 58 (2020) - [j124]Yogesh Singh Rawat, Mubarak Shah, Mohan S. Kankanhalli:
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2276-2287 (2020) - [j123]Ambuj Mehrish, Prerna Singh, Puneet Jain, A. Venkata Subramanyam, Mohan S. Kankanhalli:
Egocentric Analysis of Dash-Cam Videos for Vehicle Forensics. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3000-3014 (2020) - [j122]Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan S. Kankanhalli:
Unsupervised Online Video Object Segmentation With Motion Property Understanding. IEEE Trans. Image Process. 29: 237-249 (2020) - [j121]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Video Storytelling: Textual Summaries for Events. IEEE Trans. Multim. 22(2): 554-565 (2020) - [j120]Bingjie Xu, Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. IEEE Trans. Multim. 22(6): 1423-1432 (2020) - [j119]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features. IEEE Trans. Neural Networks Learn. Syst. 31(2): 685-699 (2020) - [c221]Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim:
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. CHI 2020: 1-14 - [c220]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. ECCV (8) 2020: 502-519 - [c219]Christian von der Weth, Jithin Vachery, Mohan S. Kankanhalli:
Nudging Users to Slow Down the Spread of Fake News in Social Media. ICME Workshops 2020: 1-6 - [c218]