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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) - [c199]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CVPR 2024: 9948-9958 - [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]