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ORCIDJoo-Hwee Lim
Joo Hwee Lim
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- affiliation: A*STAR, Institute for Infocomm Research, Singapore
- affiliation: National University of Singapore, Institute of Systems Science, Singapore
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2020 – today
- 2024
[j44]Fen Fang
, Wenyu Liang, Yi Cheng, Qianli Xu, Joo-Hwee Lim:
Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(1): 315-328 (2024)- [j43]Ali Köksal, Kenan E. Ak, Ying Sun, Deepu Rajan, Joo Hwee Lim:
Controllable Video Generation With Text-Based Instructions. IEEE Trans. Multim. 26: 190-201 (2024) - [j42]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) - [c198]Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Vigneshwaran Subbaraju, Joo Hwee Lim, Archan Misra:
Poster: Towards Efficient Spatio-Temporal Video Grounding in Pervasive Mobile Devices. MobiSys 2024: 648-649 - [i27]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CoRR abs/2404.04562 (2024) - [i26]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) - [i25]Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang:
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR abs/2406.06367 (2024) - 2023
- [j41]Kenan E. Ak, Ying Sun, Joo Hwee Lim:
Learning by Imagination: A Joint Framework for Text-Based Image Manipulation and Change Captioning. IEEE Trans. Multim. 25: 3006-3016 (2023) - [c197]Yanzhu Liu, Ying Sun, Joo-Hwee Lim:
Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. AAAI 2023: 1764-1771 - [c196]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo-Hwee Lim:
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. BMVC 2023: 650-658 - [c195]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. ICCV 2023: 14417-14428 - [c194]Fen Fang, Nhat M. Hoang, Qianli Xu, Joo-Hwee Lim:
Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss. ICIP 2023: 830-834 - [i24]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
An Overview of Challenges in Egocentric Text-Video Retrieval. CoRR abs/2306.04345 (2023) - [i23]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) - [i22]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. CoRR abs/2308.09694 (2023) - [i21]Fen Fang, Yun Liu, Ali Koksal, Qianli Xu, Joo-Hwee Lim:
Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos. CoRR abs/2309.07409 (2023) - [i20]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. CoRR abs/2309.09311 (2023) - 2022
- [j40]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) - [j39]Fen Fang, Wenyu Liang, Yan Wu, Qianli Xu, Joo-Hwee Lim:
Self-Supervised Reinforcement Learning for Active Object Detection. IEEE Robotics Autom. Lett. 7(4): 10224-10231 (2022) - [j38]Wai-Cheong Lincoln Lew, Di Wang, Kai Keng Ang, Joo-Hwee Lim, Chai Quek, Ah-Hwee Tan:
EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary Signals. IEEE Trans. Affect. Comput. 13(4): 1827-1839 (2022) - [j37]Fen Fang, Qianli Xu, Yi Cheng, Ying Sun, Joo-Hwee Lim:
Image Understanding With Reinforcement Learning: Auto-Tuning Image Attributes and Model Parameters for Object Detection and Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6671-6685 (2022) - [j36]Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim:
Align R-CNN: A Pairwise Head Network for Visual Relationship Detection. IEEE Trans. Multim. 24: 1266-1276 (2022) - [c193]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV (26) 2022: 739-756 - [c192]Fen Fang, Qianli Xu, Joo-Hwee Lim:
Hierarchical Defect Detection Based On Reinforcement Learning. ICIP 2022: 791-795 - [c191]Fen Fang, Wenyu Liang, Yan Wu, Qianli Xu, Joo-Hwee Lim:
Improving Generalization of Reinforcement Learning Using a Bilinear Policy Network. ICIP 2022: 991-995 - [c190]Yew Lee Tan, Ernest Yu Kai Chew, Adams Wai-Kin Kong, Jung-Jae Kim, Joo Hwee Lim:
Portmanteauing Features for Scene Text Recognition. ICPR 2022: 1499-1505 - [i19]Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim:
TAILOR: Teaching with Active and Incremental Learning for Object Registration. CoRR abs/2205.11692 (2022) - [i18]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval. CoRR abs/2206.12845 (2022) - [i17]Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim:
Semantic Role Aware Correlation Transformer for Text to Video Retrieval. CoRR abs/2206.12849 (2022) - [i16]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. CoRR abs/2206.14381 (2022) - [i15]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. CoRR abs/2207.13378 (2022) - [i14]Mei Chee Leong, Haosong Zhang, Hui Li Tan, Liyuan Li, Joo Hwee Lim:
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition. CoRR abs/2208.01897 (2022) - [i13]Yew Lee Tan, Ernest Yu Kai Chew, Adams Wai-Kin Kong, Jung-Jae Kim, Joo Hwee Lim:
Portmanteauing Features for Scene Text Recognition. CoRR abs/2211.05036 (2022) - [i12]Zenglin Shi, Ying Sun, Joo Hwee Lim, Mengmi Zhang:
On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning. CoRR abs/2211.11174 (2022) - [i11]Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang:
Reason from Context with Self-supervised Learning. CoRR abs/2211.12817 (2022) - [i10]Manas Gupta, Sarthak Ketanbhai Modi, Hang Zhang, Joon Hei Lee, Joo Hwee Lim:
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop. CoRR abs/2212.04614 (2022) - 2021
- [j35]Hui Li Tan, Hongyuan Zhu, Joo-Hwee Lim, Cheston Tan:
A comprehensive survey of procedural video datasets. Comput. Vis. Image Underst. 202: 103107 (2021) - [j34]Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim:
Single-Image Dehazing via Compositional Adversarial Network. IEEE Trans. Cybern. 51(2): 829-838 (2021) - [j33]Qianli Xu, Ana Garcia del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim:
Lifelog Image Retrieval Based on Semantic Relevance Mapping. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 92:1-92:18 (2021) - [c189]Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim:
TAILOR: Teaching with Active and Incremental Learning for Object Registration. AAAI 2021: 16120-16123 - [c188]Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim:
Joint Learning on the Hierarchy Representation for Fine-Grained Human Action Recognition. ICIP 2021: 1059-1063 - [c187]Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim:
Semantic Role Aware Correlation Transformer For Text To Video Retrieval. ICIP 2021: 1334-1338 - [c186]Fen Fang, Qianli Xu, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim:
Enhancing Multi-Step Action Prediction for Active Object Detection. ICIP 2021: 2189-2193 - [c185]Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim:
A Diagnostic Study Of Visual Question Answering With Analogical Reasoning. ICIP 2021: 2463-2467 - [c184]Yi Cheng, Ying Sun, Dongyun Lin, Joo-Hwee Lim:
Action Relational Graph for Weakly-Supervised Temporal Action Localization. ICIP 2021: 2563-2567 - [c183]Kenan E. Ak, Ying Sun, Joo Hwee Lim:
Robust Multi-Frame Future Prediction By Leveraging View Synthesis. ICIP 2021: 2693-2697 - [c182]Qianli Xu, Fen Fang, Nicolas Gauthier, Wenyu Liang, Yan Wu, Liyuan Li, Joo-Hwee Lim:
Towards Efficient Multiview Object Detection with Adaptive Action Prediction. ICRA 2021: 13423-13429 - [c181]Qianli Xu, Fen Fang, Ana Garcia del Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim:
Predicting Event Memorability from Contextual Visual Semantics. NeurIPS 2021: 22431-22442 - [c180]Nicolas Gauthier, Wenyu Liang, Qianli Xu, Fen Fang, Liyuan Li, Ruihan Gao, Yan Wu, Joo Hwee Lim:
Towards a Programming-Free Robotic System for Assembly Tasks Using Intuitive Interactions. ICSR 2021: 203-215 - [i9]Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim:
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition. CoRR abs/2110.05853 (2021) - [i8]Kenan E. Ak, Joo Hwee Lim, Ying Sun, Jo Yew Tham, Ashraf A. Kassim:
FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation. CoRR abs/2111.14145 (2021) - 2020
- [j32]Fen Fang, Liyuan Li, Ying Gu, Hongyuan Zhu, Joo-Hwee Lim:
A novel hybrid approach for crack detection. Pattern Recognit. 107: 107474 (2020) - [j31]Kenan E. Ak, Joo Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network. Pattern Recognit. Lett. 135: 22-29 (2020) - [j30]Fen Fang, Liyuan Li, Hongyuan Zhu, Joo-Hwee Lim:
Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection. IEEE Trans. Image Process. 29: 2052-2065 (2020) - [c179]Wai-Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan:
EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU. EMBC 2020: 116-119 - [c178]Hui Li Tan, Mei Chee Leong, Qianli Xu, Liyuan Li, Fen Fang, Yi Cheng, Nicolas Gauthier, Ying Sun, Joo Hwee Lim:
Task-Oriented Multi-Modal Question Answering For Collaborative Applications. ICIP 2020: 1426-1430 - [c177]Kenan E. Ak, Ying Sun, Joo Hwee Lim:
Learning Cross-Modal Representations for Language-Based Image Manipulation. ICIP 2020: 1601-1605 - [c176]Qianli Xu, Fen Fang, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim:
Active Image Sampling on Canonical Views for Novel Object Detection. ICIP 2020: 2241-2245 - [c175]Dulanga Weerakoon, Vigneshwaran Subbaraju, Nipuni Karumpulli, Tuan Tran, Qianli Xu, U-Xuan Tan, Joo Hwee Lim, Archan Misra:
Gesture Enhanced Comprehension of Ambiguous Human-to-Robot Instructions. ICMI 2020: 251-259 - [c174]Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim:
6D Pose Estimation with Correlation Fusion. ICPR 2020: 2988-2994 - [c173]Fen Fang, Qianli Xu, Liyuan Li, Ying Gu, Joo-Hwee Lim:
Detecting Objects with High Object Region Percentage. ICPR 2020: 7173-7180
2010 – 2019
- 2019
- [j29]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Anticipating Where People will Look Using Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1783-1796 (2019) - [c172]Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim:
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. AAAI 2019: 9332-9339 - [c171]Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
Attribute Manipulation Generative Adversarial Networks for Fashion Images. ICCV 2019: 10540-10549 - [c170]Kenan Emir Ak, Joo Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Semantically Consistent Hierarchical Text to Fashion Image Synthesis with an Enhanced-Attentional Generative Adversarial Network. ICCV Workshops 2019: 3121-3124 - [c169]Ying Gu, Liyuan Li, Fen Fang, Mark D. Rice, Jamie Ng, Wei Xiong, Joo-Hwee Lim:
An Adaptive Fitting Approach for the Visual Detection and Counting of Small Circular Objects in Manufacturing Applications. ICIP 2019: 2946-2950 - [c168]Fen Fang, Liyuan Li, Mark D. Rice, Joo-Hwee Lim:
Towards Real-Time Crack Detection Using a Deep Neural Network With a Bayesian Fusion Algorithm. ICIP 2019: 2976-2980 - [c167]Justin Lev, Joo Hwee Lim, Nizar Ouarti, Mounir Mokhtari:
Towards Robust Retrieval for Imperfectly Scanned Point Cloud Objects. ICIP 2019: 4240-4244 - [c166]Fen Fang, Qianli Xu, Yi Cheng, Liyuan Li, Ying Sun, Joo-Hwee Lim:
Self-Teaching Strategy for Learning to Recognize Novel Objects in Collaborative Robots. ICRAI 2019: 18-23 - [c165]Fen Fang, Liyuan Li, Joo-Hwee Lim:
Enhance the Efficacy of Deep CNN with Auxiliary Labels. ICRAI 2019: 76-81 - [c164]Mona Ragab Sayed, Terence Sim, Joo-Hwee Lim, Keng Teck Ma:
Which Body Is Mine? WACV 2019: 829-838 - [i7]Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. CoRR abs/1902.00163 (2019) - [i6]Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng:
Prototype Reminding for Continual Learning. CoRR abs/1905.09447 (2019) - [i5]Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim:
6D Pose Estimation with Correlation Fusion. CoRR abs/1909.12936 (2019) - 2018
- [j28]Kenan E. Ak, Joo-Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Which shirt for my first date? Towards a flexible attribute-based fashion query system. Pattern Recognit. Lett. 112: 212-218 (2018) - [j27]Liyuan Li, Qianli Xu, Tian Gan, Cheston Tan, Joo-Hwee Lim:
A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions. IEEE Trans. Cybern. 48(5): 1540-1552 (2018) - [c163]Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
Learning Attribute Representations With Localization for Flexible Fashion Search. CVPR 2018: 7708-7717 - [c162]Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
FashionSearchNet: Fashion Search with Attribute Manipulation. ECCV Workshops (3) 2018: 45-53 - [c161]Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
DehazeGAN: When Image Dehazing Meets Differential Programming. IJCAI 2018: 1234-1240 - [c160]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. IROS 2018: 137-144 - [c159]Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. ACM Multimedia 2018: 10-17 - [c158]Qianli Xu, Vigneshwaran Subbaraju, Chee How Cheong, Aijing Wang, Kathleen Kang, Munirah Bashir, Yanhong Dong, Liyuan Li, Joo-Hwee Lim:
Personalized Serious Games for Cognitive Intervention with Lifelog Visual Analytics. ACM Multimedia 2018: 328-336 - [c157]Kenan E. Ak, Joo-Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Efficient Multi-attribute Similarity Learning Towards Attribute-Based Fashion Search. WACV 2018: 1671-1679 - [i4]Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
Finding any Waldo: zero-shot invariant and efficient visual search. CoRR abs/1807.10587 (2018) - [i3]Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
What am I searching for? CoRR abs/1807.11926 (2018) - [i2]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. CoRR abs/1807.11929 (2018) - [i1]Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. CoRR abs/1808.02289 (2018) - 2017
- [j26]Michal Mukawa, Cheston Tan, Joo-Hwee Lim, Qianli Xu, Liyuan Li:
The effect of different types of navigation assistance on indoor scene memorability. Behav. Inf. Technol. 36(9): 897-912 (2017) - [j25]Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa:
A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. IEEE Trans. Cybern. 47(4): 841-854 (2017) - [j24]Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan:
Summarization of Egocentric Videos: A Comprehensive Survey. IEEE Trans. Hum. Mach. Syst. 47(1): 65-76 (2017) - [c156]Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
Active Video Summarization: Customized Summaries via On-line Interaction with the User. AAAI 2017: 4046-4052 - [c155]Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
On Active Video Summarization: Customized Summaries via On-Line Interaction with the User. AAAI Spring Symposia 2017 - [c154]Mona Ragab Sayed, Rosary Yuting Lim, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Terence Sim:
Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance. AAAI Spring Symposia 2017 - [c153]Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar:
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) 2017 - [c152]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. CVPR 2017: 3539-3548 - [c151]Justin Lev, Joo-Hwee Lim, Nizar Ouarti:
Principal curvature of point cloud for 3D shape recognition. ICIP 2017: 610-614 - [c150]Keng Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chengyao Shen, Qi Zhao:
Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision. ICIP 2017: 3470-3474 - [c149]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao:
Foveated neural network: Gaze prediction on egocentric videos. ICIP 2017: 3720-3724 - [c148]Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar:
VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. NTCIR 2017 - [c147]Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar:
Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. NTCIR 2017 - 2016
- [c146]Mark D. Rice, Shue-Ching Chia, Hong Huei Tay, Marcus Wan, Liyuan Li, Jamie Ng, Joo-Hwee Lim:
Exploring the Use of Visual Annotations in a Remote Assistance Platform. CHI Extended Abstracts 2016: 1295-1300 - [c145]Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung:
Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. CVPR Workshops 2016: 378-385 - [c144]Qianli Xu, Tian Gan, Shue-Ching Chia, Liyuan Li, Joo-Hwee Lim, Phyoe Kyaw Kyaw:
Design and Evaluation of Vibrating Footwear for Navigation Assistance to Visually Impaired People. iThings/GreenCom/CPSCom/SmartData 2016: 305-310 - [c143]Ana Garcia del Molino, Qianli Xu, Joo-Hwee Lim:
Describing Lifelogs with Convolutional Neural Networks: A Comparative Study. LTA@MM 2016: 39-44 - 2015
- [j23]Shijian Lu, Tao Chen, Shangxuan Tian, Joo-Hwee Lim, Chew Lim Tan:
Scene text extraction based on edges and support vector regression. Int. J. Document Anal. Recognit. 18(2): 125-135 (2015) - [c142]Qianli Xu, Michal Mukawa, Liyuan Li, Joo-Hwee Lim, Cheston Tan, Shue-Ching Chia, Tian Gan, Bappaditya Mandal:
Exploring users' attitudes towards social interaction assistance on Google Glass. AH 2015: 9-12 - [c141]Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim:
Whole space subclass discriminant analysis for face recognition. ICIP 2015: 329-333 - [c140]Ana Garcia del Molino, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim:
Organizing and retrieving episodic memories from first person view. ICME Workshops 2015: 1-6 - [c139]Shue-Ching Chia, Bappaditya Mandal, Qianli Xu, Liyuan Li, Joo-Hwee Lim:
Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. MobileHCI Adjunct 2015: 750-757 - 2014
- [j22]Shijian Lu, Cheston Tan, Joo-Hwee Lim:
Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 195-201 (2014) - [j21]Liyuan Li, Weixun Goh, Joo-Hwee Lim, Sinno Jialin Pan:
Extended Spectral Regression for efficient scene recognition. Pattern Recognit. 47(9): 2940-2951 (2014) - [j20]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2212-2225 (2014) - [c138]Jierong Cheng, Wei Xiong, Ying Gu, Shue-Ching Chia, Yue Wang, Joo-Hwee Lim:
A Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell Segmentation and Tracking. ACCV (3) 2014: 268-283 - [c137]Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim:
A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) 2014: 419-433 - [c136]Shijian Lu, Byung-Uck Kim, Nicolas Loménie, Joo-Hwee Lim, Jianfei Cai:
Search Guided Saliency. ACCV Workshops (1) 2014: 443-456 - [c135]Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim:
Activity Recognition in Egocentric Life-Logging Videos. ACCV Workshops (3) 2014: 445-458 - [c134]Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim:
Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. CVPR Workshops 2014: 541-548 - [c133]Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops 2014: 549-556 - [c132]Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim:
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR 2014: 2631-2636 - [c131]Bolan Su, Shijian Lu, Shangxuan Tian, Joo-Hwee Lim, Chew Lim Tan:
Character Recognition in Natural Scenes Using Convolutional Co-occurrence HOG. ICPR 2014: 2926-2931 - [c130]Qianli Xu, Liyuan Li, Joo-Hwee Lim, Cheston Yin Chet Tan, Michal Mukawa, Gang S. Wang:
A wearable virtual guide for context-aware cognitive indoor navigation. Mobile HCI 2014: 111-120 - [c129]Jierong Cheng, Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Shvetha Sankaran, Sohail Ahmed:
Neurosphere segmentation in brightfield images. Medical Imaging: Image Processing 2014: 90344D - [c128]Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, Mohan S. Kankanhalli:
Recovering Social Interaction Spatial Structure from Multiple First-Person Views. SAM@MM 2014: 7-12 - 2013
- [c127]Shijian Lu, Byung-Uck Kim, Nicolas Loménie, Joo-Hwee Lim:
Adaptive picture-in-picture technology based on visual saliency. APSIPA 2013: 1-4 - [c126]Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor:
Visual Recognition using a Combination of Shape and Color Features. CogSci 2013 - [c125]Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor:
Encoding Co-occurrence of Features in the HMAX Model. CogSci 2013 - [c124]Stephane Ulysse Rigaud, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu:
An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy. EMBC 2013: 3989-3992 - [c123]Liyuan Li, Gang S. Wang, Weixun Goh, Joo-Hwee Lim, Cheston Tan:
A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment. ICONIP (3) 2013: 249-257 - [c122]Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor:
The use of optical and sonar images in the human and dolphin brain for image classification. IJCNN 2013: 1-8 - [c121]Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor:
Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. IJCNN 2013: 1-8 - [c120]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Top-Down Regularization of Deep Belief Networks. NIPS 2013: 1878-1886 - 2012
- [j19]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
A non-parametric visual-sense model of images - extending the cluster hypothesis beyond text. Multim. Tools Appl. 56(3): 509-534 (2012) - [j18]Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse, Éric Gaussier, Joo-Hwee Lim:
Visual graph modeling for scene recognition and mobile robot localization. Multim. Tools Appl. 60(2): 419-441 (2012) - [c119]Michal Mukawa, Joo-Hwee Lim:
A Review of Cognitive Architectures for Visual Memory. BICA 2012: 233-238 - [c118]Hsueh-Cheng Wang, Shijian Lu, Joo-Hwee Lim, Marc Pomplun:
Visual Attention is Attracted by Text Features Even in Scenes without Text. CogSci 2012 - [c117]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) 2012: 298-311 - [c116]Shijian Lu, Joo-Hwee Lim:
Saliency Modeling from Image Histograms. ECCV (7) 2012: 321-332 - [c115]Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed:
Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets. ICIP 2012: 2009-2012 - [c114]Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed:
Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction. ICPR 2012: 1623-1626 - [c113]Sepehr Jalali, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong:
Clustering and use of spatial and frequency information in a biologically inspired approach to image classification. IJCNN 2012: 1-8 - [c112]Stephane Ulysse Rigaud, Nicolas Loménie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu:
Neurosphere fate prediction: An analysis-synthesis approach for feature extraction. IJCNN 2012: 1-7 - [c111]Shijian Lu, Joo-Hwee Lim:
Autonomous Viewpoint Control from Saliency. Living Machines 2012: 373-374 - [c110]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
Topic Based Query Suggestions for Video Search. MMM 2012: 288-299 - 2011
- [j17]Shijian Lu, Joo-Hwee Lim:
Automatic Optic Disc Detection From Retinal Images by a Line Operator. IEEE Trans. Biomed. Eng. 58(1): 88-94 (2011) - [j16]Wei Huang, Kap Luk Chan, Huiqi Li, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong:
A Computer Assisted Method for Nuclear Cataract Grading From Slit-Lamp Images Using Ranking. IEEE Trans. Medical Imaging 30(1): 94-107 (2011) - [c109]Joo-Hwee Lim, Siying Liu:
Extended Visual Memory for Computer-Aided Vision. CogSci 2011 - [c108]Yew Chung Chow, Xinting Gao, Huiqi Li, Joo-Hwee Lim, Ying Sun, Tien Yin Wong:
Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images. EMBC 2011: 5044-5047 - [c107]Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Shvetha Sankaran, Sohail Ahmed:
Detection of unstained living neurospheres from phase contrast images with very large illumination variations. EMBC 2011: 6154-6157 - [c106]Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord:
Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP 2011: 1241-1244 - [c105]Xinting Gao, Huiqi Li, Joo-Hwee Lim, Tien Yin Wong:
Computer-aided cataract detection using enhanced texture features on retro-illumination lens images. ICIP 2011: 1565-1568 - [c104]Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim:
Automated nuclei clump decomposition for image analysis in neuronal cell fluorescent microscopy. ICIP 2011: 1577-1580 - [c103]Siying Liu, Yiqun Li, Aiyuan Guo, Joo-Hwee Lim:
Advertisement Image Recognition for a Location-Based Reminder System. MMM (2) 2011: 421-431 - 2010
- [j15]Huiqi Li, Joo-Hwee Lim, Jiang Liu, Paul Mitchell, Ava G. Tan, Jie Jin Wang, Tien Yin Wong:
A Computer-Aided Diagnosis System of Nuclear Cataract. IEEE Trans. Biomed. Eng. 57(7): 1690-1698 (2010) - [j14]Wei Xiong, Sim Heng Ong, Joo-Hwee Lim, Kelvin W. C. Foong, Jiang Liu, Daniel Racoceanu, Alvin G. L. Chong, Kevin S. W. Tan:
Automatic Area Classification in Peripheral Blood Smears. IEEE Trans. Biomed. Eng. 57(8): 1982-1990 (2010) - [j13]Shijian Lu, Carol Yim-lui Cheung, Jiang Liu, Joo-Hwee Lim, Christopher Kai-shun Leung, Tien Yin Wong:
Automated Layer Segmentation of Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. 57(10): 2605-2608 (2010) - [c102]Shijian Lu, Joo-Hwee Lim:
Automatic optic disc detection through background estimation. ICIP 2010: 833-836 - [c101]Wei Xiong, Yanbo Wang, S. H. Ong, Joo-Hwee Lim, Lijun Jiang:
Learning cell geometry models for cell image simulation: An unbiased approach. ICIP 2010: 1897-1900 - [c100]Shijian Lu, Joo-Hwee Lim:
Automatic macula detection from retinal images by a line operator. ICIP 2010: 4073-4076 - [c99]Wei Xiong, Joo-Hwee Lim, S. H. Ong, Jiang Liu, Yin Jing, Kevin S. W. Tan:
Automatic cell classification and population estimation in blastocystis autophagy images. ICIP 2010: 4349-4352 - [c98]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
Faceted topic retrieval of news video using joint topic modeling of visual features and speech transcripts. ICME 2010: 843-848 - [c97]Sepehr Jalali, Joo-Hwee Lim, Sim Heng Ong, Jo Yew Tham:
Dictionary of Features in a Biologically Inspired Approach to Image Classification. ICONIP (2) 2010: 541-548 - [c96]Wei Xiong, Sim Heng Ong, Joo-Hwee Lim:
A Recursive and Model-Constrained Region Splitting Algorithm for Cell Clump Decomposition. ICPR 2010: 4416-4419 - [c95]Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Zhuo Zhang, Shijian Lu, Joo-Hwee Lim, Huiqi Li, Seang Mei Saw, Louis Tong, Tien Yin Wong:
Automatic classification of pathological myopia in retinal fundus images using PAMELA. Medical Imaging: Computer-Aided Diagnosis 2010: 76240G - [c94]Ngan Meng Tan, Jiang Liu, Damon Wing Kee Wong, Zhuo Zhang, Shijian Lu, Joo-Hwee Lim, Huiqi Li, Tien Yin Wong:
Classification of left and right eye retinal images. Medical Imaging: Computer-Aided Diagnosis 2010: 762438 - [c93]Damon Wing Kee Wong, Jiang Liu, Ngan Meng Tan, Zhuo Zhang, Shijian Lu, Joo-Hwee Lim, Huiqi Li, Tien Yin Wong:
Enhancement of optic cup detection through an improved vessel kink detection framework. Medical Imaging: Computer-Aided Diagnosis 2010: 762439 - [c92]Wei Huang, Kap Luk Chan, Huiqi Li, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong:
Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation. MLMI 2010: 18-25 - [c91]Xinqi Chu, Chee Khun Poh, Liyuan Li, Kap Luk Chan, Shuicheng Yan, Weijia Shen, That Mon Htwe, Jiang Liu, Joo-Hwee Lim, Eng Hui Ong:
Epitomized Summarization of Wireless Capsule Endoscopic Videos for Efficient Visualization. MICCAI (2) 2010: 522-529 - [c90]Shijian Lu, Jiang Liu, Joo-Hwee Lim, Zhuo Zhang, Ngan Meng Tan, Damon Wing Kee Wong, Huiqi Li, Tien Yin Wong:
Automatic optic disc segmentation based on image brightness and contrast. Medical Imaging: Image Processing 2010: 76234J - [p1]Jean-Pierre Chevallet, Joo-Hwee Lim:
Intermedia Conceptual Indexing. ImageCLEF 2010: 359-380
2000 – 2009
- 2009
- [j12]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Fuzzy Associative Conjuncted Maps Network. IEEE Trans. Neural Networks 20(8): 1302-1319 (2009) - [j11]Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay:
Mobile phone-based mixed reality: the Snap2Play game. Vis. Comput. 25(1): 25-37 (2009) - [c89]Huiqi Li, Joo-Hwee Lim, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Shijian Lu, Zhuo Zhang, Tien Yin Wong:
Computerized Systems for Cataract Grading. BMEI 2009: 1-4 - [c88]Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim, Jiang Liu, Daniel Racoceanu, Kelvin Weng Chiong Foong:
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images. BMEI 2009: 1-5 - [c87]Zhuo Zhang, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Joo-Hwee Lim, Shijian Lu, Huiqi Li, Ziyang Liang, Tien Yin Wong:
Neuro-Retinal Optic Cup Detection in Glaucoma Diagnosis. BMEI 2009: 1-4 - [c86]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, Sujoy Roy:
A Latent Model for Visual Disambiguation of Keyword-based Image Search. BMVC 2009: 1-9 - [c85]Sheng Gao, Joo-Hwee Lim:
I2R at ImageCLEF Photo Retrieval 2009. CLEF (Working Notes) 2009 - [c84]Sheng Gao, Joo-Hwee Lim:
Selecting representative and distinctive descriptors for efficient landmark recognition. ICIP 2009: 1425-1428 - [c83]Jiang Liu, Shijian Lu, Joo-Hwee Lim, Zhuo Zhang, Ngan Meng Tan, Damon Wing Kee Wong, Huiqi Li, Tien Yin Wong:
Photometric correction of retinal images by polynomial interpolation. ICIP 2009: 3893-3896 - [c82]Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim:
A Bayesian approach integrating regional and global features for image semantic learning. ICME 2009: 546-549 - [c81]Yiqun Li, Joo-Hwee Lim, Kart-Leong Lim, Yilun You:
Showroom introduction using mobile phone based on scene image recognition. ICME 2009: 1294-1297 - [c80]Wei Huang, Huiqi Li, Kap Luk Chan, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong:
A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking. MICCAI (1) 2009: 803-810 - 2008
- [c79]Sheng Gao, Jean-Pierre Chevallet, Joo-Hwee Lim:
IPAL at CLEF 2008: Mixed-Modality based Image Search, Novelty based Re-ranking and Extended Matching. CLEF (Working Notes) 2008 - [c78]Trong-Ton Pham, Jean-Pierre Chevallet, Joo-Hwee Lim:
Fusion de multi-modalités et réduction par sémantique latente. CORIA 2008: 39-53 - [c77]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops 2008: 1-8 - [c76]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Using densely recorded scenes for place recognition. ICASSP 2008: 2101-2104 - [c75]Ali Mustafa Qamar, Éric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim:
Similarity Learning for Nearest Neighbor Classification. ICDM 2008: 983-988 - [c74]Huiqi Li, Liling Ko, Joo-Hwee Lim, Jiang Liu, Damon Wing Kee Wong, Tien Yin Wong, Ying Sun:
Automatic opacity detection in retro-illumination images for cortical cataract diagnosis. ICME 2008: 553-556 - [c73]Yiqun Li, Joo-Hwee Lim, Hanlin Goh:
Cascaded classification with optimal candidate selection for effective place recognition. ICME 2008: 1493-1496 - [c72]Wei Xiong, Sim Heng Ong, Joo-Hwee Lim, Nn Tung, Jiang Liu, Daniel Racoceanu, Kevin S. W. Tan, Alvin G. L. Chong, Kelvin Weng Chiong Foong:
Automatic working area classification in peripheral blood smears using spatial distribution features across scales. ICPR 2008: 1-4 - [c71]Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Learning associations of conjuncted fuzzy sets for data prediction. IJCNN 2008: 1515-1522 - [c70]Yilun You, Tat-Jun Chin, Joo-Hwee Lim, Jean-Pierre Chevallet, Céline Coutrix, Laurence Nigay:
Deploying and evaluating a mixed reality mobile treasure hunt: Snap2Play. Mobile HCI 2008: 335-338 - [c69]Huiqi Li, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong, Ava G. Tan, Jie Jin Wang, Paul Mitchell:
Image based grading of nuclear cataract by SVM regression. Medical Imaging: Computer-Aided Diagnosis 2008: 691536 - [c68]Jiang Liu, Joo-Hwee Lim, Huiqi Li:
CALM: cascading system with leaking detection mechanism for medical image segmentation. Medical Imaging: Image Processing 2008: 69143F - [c67]Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay:
Snap2Play: A Mixed-Reality Game Based on Scene Identification. MMM 2008: 220-229 - [c66]Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le, Hanlin Goh:
Bi-modal Conceptual Indexing for Medical Image Retrieval. MMM 2008: 456-465 - [c65]Sheng Gao, Jean-Pierre Chevallet, Joo-Hwee Lim:
Rich representation and ranking for photographic image retrieval in ImageCLEF 2007. MMSP 2008: 553-557 - [c64]Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-Pierre Chevallet:
Unsupervised learning for image classification based on distribution of hierarchical feature tree. RIVF 2008: 306-310 - [r2]Joo-Hwee Lim:
Semantic Image Representation and Indexing. Encyclopedia of Multimedia 2008: 800-805 - 2007
- [j10]Jean-Pierre Chevallet, Joo-Hwee Lim, Mun-Kew Leong:
Object identification and retrieval from efficient image matching. Snap2Tell with the STOIC dataset. Inf. Process. Manag. 43(2): 515-530 (2007) - [j9]Caroline Lacoste, Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le:
Medical-Image Retrieval Based on Knowledge-Assisted Text and Image Indexing. IEEE Trans. Circuits Syst. Video Technol. 17(7): 889-900 (2007) - [c63]Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jean-Pierre Chevallet:
Latent semantic fusion model for image retrieval and annotation. CIKM 2007: 439-444 - [c62]Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le:
Domain knowledge conceptual inter-media indexing: application to multilingual multimedia medical reports. CIKM 2007: 495-504 - [c61]Sheng Gao, Jean-Pierre Chevallet, Diem Thi Hoang Le, Trong-Ton Pham, Joo-Hwee Lim:
IPAL at ImageClef 2007 Mixing Features, Models and Knowledge. CLEF (Working Notes) 2007 - [c60]Diem Thi Hoang Le, Jean-Pierre Chevallet, Joo-Hwee Lim:
Using Bayesian Network for Conceptual Indexing: Application to Medical Document Indexing with UMLS Metathesaurus. CLEF 2007: 631-636 - [c59]Wei Xiong, S. H. Ong, Joo-Hwee Lim, Qi Tian, Changsheng Xu, Ning Zhang, Kelvin Weng Chiong Foong:
Outlier Detection from Pooled Data for Image Retrieval System Evaluation. ICASSP (1) 2007: 977-980 - [c58]Sheng Gao, Joo-Hwee Lim, Qibin Sun:
Propagating Image-Level Part Statistics to Enhance Object Detection. ICIP (6) 2007: 181-184 - [c57]Joo-Hwee Lim, Yiqun Li, Yilun You, Jean-Pierre Chevallet:
Scene Recognition with Camera Phones for Tourist Information Access. ICME 2007: 100-103 - [c56]Joo-Hwee Lim, Caroline Lacoste, Jean-Pierre Chevallet, Diem Thi Hoang Le:
Knowledge-Assisted Medical Image Retrieval. ICME 2007: 791-794 - [c55]Sheng Gao, Joo-Hwee Lim, Qibin Sun:
Hidden Maximum Entropy Approach for Visual Concept Modeling. ICME 2007: 1387-1390 - [c54]Hanlin Goh, Yiqun Li, Joo-Hwee Lim:
An image-based outdoor place recognition and information retrieval system. ACM Multimedia 2007: 160-161 - [c53]Yiqun Li, Joo-Hwee Lim:
Outdoor place recognition using compact local descriptors and multiple queries with user verification. ACM Multimedia 2007: 549-552 - [c52]Sheng Gao, Joo-Hwee Lim, Qibin Sun:
An integrated statistical model for multimedia evidence combination. ACM Multimedia 2007: 872-881 - [c51]William Ku, Mohan S. Kankanhalli, Joo-Hwee Lim:
Metadata Management, Reuse, Inference and Propagation in a Collection-Oriented Metadata Framework for Digital Images. MMM (2) 2007: 145-154 - [c50]William Ku, Mohan S. Kankanhalli, Joo-Hwee Lim:
Using Camera Settings Templates ("Scene Modes") for Image Scene Classification of Photographs Taken on Manual/Expert Settings. PCM 2007: 10-17 - 2006
- [j8]Joo-Hwee Lim, Jesse S. Jin:
Discovering Recurrent Image Semantics from Class Discrimination. EURASIP J. Adv. Signal Process. 2006 (2006) - [c49]Jean-Pierre Chevallet, Nicolas Maillot, Joo-Hwee Lim:
Concept Propagation Based on Visual Similarity. AIRS 2006: 514-521 - [c48]Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le, Wei Xiong, Daniel Racoceanu, Roxana Teodorescu, Nicolas Vuillemenot:
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL. CLEF 2006: 694-701 - [c47]Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Xiong Wei, Daniel Racoceanu, Diem Thi Hoang Le, Roxana Teodorescu, Nicolas Vuillemenot:
IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006. CLEF (Working Notes) 2006 - [c46]Nicolas Maillot, Jean-Pierre Chevallet, Joo-Hwee Lim:
Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval. CLEF 2006: 735-738 - [c45]Nicolas Maillot, Jean-Pierre Chevallet, Vlad Valea, Joo-Hwee Lim:
IPAL Inter-Media Pseudo-Relevance Feedback Approach to ImageCLEF 2006 Photo Retrieval. CLEF (Working Notes) 2006 - [c44]Saïd Radhouani, Loïc Maisonnasse, Joo-Hwee Lim, Thi-Hoang-Diem Le, Jean-Pierre Chevallet:
Une Indexation conceptuelle pour un filtrage par dimensions. CORIA 2006: 257-270 - [c43]William Ku, Mohan S. Kankanhalli, Joo-Hwee Lim:
A Collection-Oriented Metadata Framework for Digital Images. ICME 2006: 761-764 - [c42]Saïd Radhouani, Joo-Hwee Lim, Jean-Pierre Chevallet, Gilles Falquet:
Combining Textual and Visual Ontologies to Solve Medical Multimodal Queries. ICME 2006: 1853-1856 - [c41]Pujianto Cemerlang, Joo-Hwee Lim, Yilun You, Jun Zhang, Jean-Pierre Chevallet:
Towards Automatic Mobile Blogging. ICME 2006: 2033-2036 - [c40]Joo-Hwee Lim, Jean-Pierre Chevallet, Sheng Gao:
Scene Identification using Discriminative Patterns. ICPR (2) 2006: 642-645 - [c39]Sheng Gao, Chin-Hui Lee, Joo-Hwee Lim:
An ensemble classifier learning approach to ROC optimization. ICPR (2) 2006: 679-682 - [r1]Joo-Hwee Lim:
Semantic Image Representation and Indexing. Encyclopedia of Multimedia 2006 - 2005
- [j7]Joo-Hwee Lim, Jesse S. Jin:
A structured learning framework for content-based image indexing and visual query. Multim. Syst. 10(4): 317-331 (2005) - [j6]Joo-Hwee Lim, Jesse S. Jin:
Combining intra-image and inter-class semantics for consumer image retrieval. Pattern Recognit. 38(6): 847-864 (2005) - [c38]Joo-Hwee Lim, Jean-Pierre Chevallet:
VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval. AIRS 2005: 84-96 - [c37]Jean-Pierre Chevallet, Joo-Hwee Lim, Mun-Kew Leong:
Object Identification and Retrieval from Efficient Image Matching: Snap2Tell with the STOIC Dataset. AIRS 2005: 97-112 - [c36]Joo-Hwee Lim, Jesse S. Jin, Suhuai Luo:
A Structured Learning Approach to Semantic Photo Indexing and Query. AIRS 2005: 351-365 - [c35]Jean-Pierre Chevallet, Joo-Hwee Lim, Saïd Radhouani:
A Structured Visual Learning Approach Mixed with Ontology Dimensions for Medical Queries. CLEF 2005: 642-651 - [c34]Jean-Pierre Chevallet, Joo-Hwee Lim, Saïd Radhouani:
Using Ontology Dimensions and Negative Expansion to solve Precise Queries in the ImageCLEF Medical Task. CLEF (Working Notes) 2005 - [c33]Joo-Hwee Lim, Jean-Pierre Chevallet:
A Structured Learning Approach for Medical Image Indexing and Retrieval. CLEF (Working Notes) 2005 - [c32]Jean-Pierre Chevallet, Joo-Hwee Lim:
SnapToTell Accès ubiquitaire à de l'information multimédia à partir d'un téléphone portable. CORIA 2005: 245-260 - [c31]Jean-Pierre Chevallet, Joo-Hwee Lim, Ramnath Vasudha:
SnapToTell: A Singapore Image Test Bed for Ubiquitous Information Access from Camera. ECIR 2005: 530-532 - 2004
- [b2]Joo Hwee Lim:
Bridging semantic gap: learning and integrating semantics for content-based retrieval. University of New South Wales, Sydney, Australia, 2004 - [c30]Joo-Hwee Lim, Jesse S. Jin:
Semantics Discovery for Image Indexing. ECCV (1) 2004: 270-281 - [c29]Joo-Hwee Lim, Jesse S. Jin:
Combining local class patterns and discovered semantics for image retrieval. ICIP 2004: 401-404 - [c28]Qing Tang, Joo-Hwee Lim, Jesse S. Jin, Haiping Sun, Qi Tian:
A generic mid-level representation for semantic video analysis. ICIP 2004: 629-632 - [c27]Yu-Lin Kang, Joo-Hwee Lim, Mohan S. Kankanhalli, Changsheng Xu, Qi Tian:
Goal detection in soccer video using audio/visual keywords. ICIP 2004: 1629-1632 - [c26]Joo-Hwee Lim, Jesse S. Jin:
Unifying local and global content-based similarities for home photo retrieval. ICIP 2004: 2371-2374 - [c25]Joo-Hwee Lim, Jesse S. Jin:
Image retrieval using spatial icons. ICME 2004: 1615-1618 - [c24]Yu-Lin Kang, Joo-Hwee Lim, Qi Tian, Mohan S. Kankanhalli, Changsheng Xu:
Visual Keywords Labeling in Soccer Video. ICPR (3) 2004: 850-853 - [c23]Joo-Hwee Lim, Jesse S. Jin:
Cascading Classifiers for Consumer Image Indexing. ICPR (4) 2004: 897-900 - [c22]Joo-Hwee Lim, Jesse S. Jin:
Learning and Integrating Semantics for Image Indexing. PRICAI 2004: 823-832 - 2003
- [j5]Joo-Hwee Lim, Qi Tian, Philippe Mulhem:
Home Photo Content Modeling for Personalized Event-Based Retrieval. IEEE Multim. 10(4): 28-37 (2003) - [c21]Philippe Mulhem, Joo-Hwee Lim:
Home Photo Retrieval: Time Matters. CIVR 2003: 321-330 - [c20]Kongwah Wan, Joo-Hwee Lim, Changsheng Xu, Xinguo Yu:
Real-time camera field-view tracking in soccer video. ICASSP (3) 2003: 185-188 - [c19]Joo-Hwee Lim, Jesse S. Jin:
Support regions and images for photo event retrieval. ICIP (2) 2003: 515-518 - [c18]Joo-Hwee Lim, Philippe Mulhem, Qi Tian:
Event-based home photo retrieval. ICME 2003: 33-36 - [c17]Joo-Hwee Lim, Jesse S. Jin:
Learning Consumer Photo Categories for Semantic Retrieval. IJCAI 2003: 1413-1414 - [c16]Joo-Hwee Lim, Jun Li, Philippe Mulhem, Qi Tian:
Content-Based Summarization for Personal Image Library. JCDL 2003: 393 - [c15]Joo-Hwee Lim, Jesse S. Jin:
Using Dual Cascading Learning Frameworks for Image Indexing. VIP 2003: 53-60 - 2002
- [c14]Philippe Mulhem, Joo-Hwee Lim:
Symbolic photograph content-based retrieval. CIKM 2002: 94-101 - [c13]Joo-Hwee Lim, Jesse S. Jin:
Semantic indexing and retrieval of home photos. ICARCV 2002: 186-191 - [c12]Joo-Hwee Lim, Jesse S. Jin:
Image indexing and retrieval using visual keyword histograms. ICME (1) 2002: 213-216 - [c11]Joo-Hwee Lim, Jesse S. Jin:
Home Photo Indexing using Learned Visual Keywords. VIP 2002: 69-74 - [c10]Xi Shao, Changsheng Xu, Joo-Hwee Lim:
Image Mosaics Based on Homogenous Coordinates. VIP 2002: 93-96 - 2001
- [j4]Joo-Hwee Lim:
Building Visual Vocabulary for Image Indexation and Query Formulation. Pattern Anal. Appl. 4(2-3): 125-139 (2001) - [j3]Joo-Hwee Lim, Jian-Kang Wu, Sumeet Singh, Arcot Desai Narasimhalu:
Learning Similarity Matching in Multimedia Content-Based Retrieval. IEEE Trans. Knowl. Data Eng. 13(5): 846-850 (2001) - [c9]Joo-Hwee Lim:
Fuzzy Object Patterns for Visual Indexing and Segmentation. FUZZ-IEEE 2001: 77-80 - 2000
- [b1]Jian-Kang Wu, Mohan S. Kankanhalli, Joo-Hwee Lim, Dezhong Hong:
Perspectives on Content-Based Multimedia Systems. The Kluwer International Series on Information Retrieval 9, Kluwer 2000, ISBN 978-0-7923-7944-7, pp. 1-391 - [j2]Joo-Hwee Lim:
Photograph Retrieval and Classification by Visual Keywords and Thesaurus. New Gener. Comput. 18(2): 147-156 (2000) - [c8]Joo-Hwee Lim:
Explicit query formulation with visual keywords. ACM Multimedia 2000: 407-412
1990 – 1999
- 1999
- [c7]Joo-Hwee Lim:
Learnable Visual Keywords for Image Classification. ACM DL 1999: 139-145 - [c6]Joo-Hwee Lim:
Learning Visual Keywords for Content-Based Retrieval. ICMCS, Vol. 2 1999: 169-173 - [c5]Joo-Hwee Lim:
Categorizing Visual Contents by Matching Visual "Keywords". VISUAL 1999: 367-374 - 1996
- [j1]Joo-Hwee Lim, Hoon heng Teh, Ho-Chung Lui, Pei-Zhuang Wang:
Stochastic topology with elastic matching for off-line handwritten character recognition. Pattern Recognit. Lett. 17(2): 149-154 (1996) - [c4]Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan, Ho-Chung Lui:
An Application of Hierarchical Knowledge Integration in Hand-Written Form Processing. PRICAI 1996: 169-180 - 1995
- [c3]Joo-Hwee Lim, Hoon Heng Teh, Ho-Chung Lui, Pei-Zhuang Wang:
Fitting elastic maps to recognize handwritten digits. ICNN 1995: 3078-3082 - 1992
- [c2]Joo-Hwee Lim, Ho-Chung Lui, Pei-Zhuang Wang:
A Framework for Integrating Fault Diagnosis and Incremental Knowledge Acquisition in Connectionist Expert Systems. AAAI 1992: 159-164 - [c1]Joo-Hwee Lim, Ho-Chung Lui, Hoon heng Teh:
A Deductive Neural-Logic System. ISMVL 1992: 96-102
Coauthor Index
Kenan E. Ak
aka: Kenan Emir Ak
aka: Kenan Emir Ak
[i19] [i14] [j34] [j33] [c189] [c188] [c186] [c182] [c180] [i9] [j32] [j30] [c178] [c176] [c174] [c173] [c172] [c169] [c168] [c166] [c165] [i5] [j27] [c161] [c158] [j26] [j25] [c154] [c150] [c148] [c147] [c146] [c145] [c144] [c142] [c141] [c140] [c139] [j21] [c137] [c135] [c134] [c133] [c132] [c130] [c128] [c123] [c91]
Cheston Tan
aka: Cheston Yin Chet Tan
aka: Cheston Yin Chet Tan
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