| 2025 | AAAI | SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia. | Ali Kksal, Jingjing Gu, Kotaro Hara, Jing Jiang, Joo-Hwee Lim, Qianli Xu |
| 2025 | CVPR | Visual Prompting for One-shot Controllable Video Editing without Inversion. | Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo |
| 2025 | ICASSP | Decreasing Word Error Rates in Paragraph Handwritten Text Recognition with Synthetic Data. | Ernest Yu Kai Chew, Adams Wai-Kin Kong, Joo-Hwee Lim |
| 2025 | ICDAR | A Unified Model for Paragraph and Line-Level Handwritten Text Recognition. | Ernest Yu Kai Chew, Adams Wai-Kin Kong, Joo-Hwee Lim |
| 2024 | CVPR | Diffusion Time-step Curriculum for One Image to 3D Generation. | Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang |
| 2023 | AAAI | Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. | Yanzhu Liu, Ying Sun, Joo-Hwee Lim |
| 2023 | BMVC | Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. | Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo-Hwee Lim |
| 2023 | ICCV | Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. | Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang |
| 2023 | ICIP | Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss. | Fen Fang, Nhat M. Hoang, Qianli Xu, Joo-Hwee Lim |
| 2022 | ECCV | Identifying Hard Noise in Long-Tailed Sample Distribution. | Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang |
| 2022 | ICIP | Improving Generalization of Reinforcement Learning Using a Bilinear Policy Network. | Fen Fang, Wenyu Liang, Yan Wu, Qianli Xu, Joo-Hwee Lim |
| 2022 | ICIP | Hierarchical Defect Detection Based On Reinforcement Learning. | Fen Fang, Qianli Xu, Joo-Hwee Lim |
| 2021 | AAAI | TAILOR: Teaching with Active and Incremental Learning for Object Registration. | Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim |
| 2021 | ICIP | Action Relational Graph for Weakly-Supervised Temporal Action Localization. | Yi Cheng, Ying Sun, Dongyun Lin, Joo-Hwee Lim |
| 2021 | ICIP | Enhancing Multi-Step Action Prediction for Active Object Detection. | Fen Fang, Qianli Xu, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim |
| 2021 | ICIP | A Diagnostic Study Of Visual Question Answering With Analogical Reasoning. | Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim |
| 2021 | ICRA | Towards Efficient Multiview Object Detection with Adaptive Action Prediction. | Qianli Xu, Fen Fang, Nicolas Gauthier, Wenyu Liang, Yan Wu, Liyuan Li, Joo-Hwee Lim |
| 2020 | ICIP | Active Image Sampling on Canonical Views for Novel Object Detection. | Qianli Xu, Fen Fang, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim |
| 2020 | ICPR | 6D Pose Estimation with Correlation Fusion. | Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim |
| 2020 | ICPR | Detecting Objects with High Object Region Percentage. | Fen Fang, Qianli Xu, Liyuan Li, Ying Gu, Joo-Hwee Lim |
| 2019 | AAAI | Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. | Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim |
| 2019 | ICCV | Attribute Manipulation Generative Adversarial Networks for Fashion Images. | Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham |
| 2019 | ICIP | Towards Real-Time Crack Detection Using a Deep Neural Network With a Bayesian Fusion Algorithm. | Fen Fang, Liyuan Li, Mark D. Rice, Joo-Hwee Lim |
| 2019 | ICIP | An Adaptive Fitting Approach for the Visual Detection and Counting of Small Circular Objects in Manufacturing Applications. | Ying Gu, Liyuan Li, Fen Fang, Mark D. Rice, Jamie Ng, Wei Xiong, Joo-Hwee Lim |
| 2019 | WACV | Which Body Is Mine? | Mona Ragab Sayed, Terence Sim, Joo-Hwee Lim, Keng Teck Ma |
| 2018 | CVPR | Learning Attribute Representations With Localization for Flexible Fashion Search. | Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham |
| 2018 | ECCV | FashionSearchNet: Fashion Search with Attribute Manipulation. | Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham |
| 2018 | IJCAI | DehazeGAN: When Image Dehazing Meets Differential Programming. | Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim |
| 2018 | WACV | Efficient Multi-attribute Similarity Learning Towards Attribute-Based Fashion Search. | Kenan E. Ak, Joo-Hwee Lim, Jo Yew Tham, Ashraf A. Kassim |
| 2017 | AAAI | Active Video Summarization: Customized Summaries via On-line Interaction with the User. | Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan |
| 2017 | ICIP | Principal curvature of point cloud for 3D shape recognition. | Justin Lev, Joo-Hwee Lim, Nizar Ouarti |
| 2017 | ICIP | Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision. | Keng Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chengyao Shen, Qi Zhao |
| 2016 | CHI | Exploring the Use of Visual Annotations in a Remote Assistance Platform. | Mark D. Rice, Shue-Ching Chia, Hong Huei Tay, Marcus Wan, Liyuan Li, Jamie Ng, Joo-Hwee Lim |
| 2016 | CVPR | Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. | Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung |
| 2015 | ICIP | Whole space subclass discriminant analysis for face recognition. | Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim |
| 2014 | ACCV | A Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell Segmentation and Tracking. | Jierong Cheng, Wei Xiong, Ying Gu, Shue-Ching Chia, Yue Wang, Joo-Hwee Lim |
| 2014 | ACCV | Search Guided Saliency. | Shijian Lu, Byung-Uck Kim, Nicolas Lomnie, Joo-Hwee Lim, Jianfei Cai |
| 2014 | ACCV | A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. | Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim |
| 2014 | ACCV | Activity Recognition in Egocentric Life-Logging Videos. | Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim |
| 2014 | CVPR | Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. | Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim |
| 2014 | CVPR | Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. | Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim |
| 2014 | ICPR | Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. | Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim |
| 2014 | ICPR | Character Recognition in Natural Scenes Using Convolutional Co-occurrence HOG. | Bolan Su, Shijian Lu, Shangxuan Tian, Joo-Hwee Lim, Chew Lim Tan |
| 2013 | CogSci | Visual Recognition using a Combination of Shape and Color Features. | Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor |
| 2013 | CogSci | Encoding Co-occurrence of Features in the HMAX Model. | Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor |
| 2013 | ICONIP | A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment. | Liyuan Li, Gang S. Wang, Weixun Goh, Joo-Hwee Lim, Cheston Tan |
| 2013 | IJCNN | The use of optical and sonar images in the human and dolphin brain for image classification. | Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor |
| 2013 | IJCNN | Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. | Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor |
| 2012 | CogSci | Visual Attention is Attracted by Text Features Even in Scenes without Text. | Hsueh-Cheng Wang, Shijian Lu, Joo-Hwee Lim, Marc Pomplun |
| 2012 | ECCV | Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. | Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim |
| 2012 | ECCV | Saliency Modeling from Image Histograms. | Shijian Lu, Joo-Hwee Lim |
| 2012 | ICIP | Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets. | Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed |
| 2012 | ICPR | Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction. | Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed |
| 2012 | IJCNN | Clustering and use of spatial and frequency information in a biologically inspired approach to image classification. | Sepehr Jalali, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong |
| 2012 | IJCNN | Neurosphere fate prediction: An analysis-synthesis approach for feature extraction. | Stephane Ulysse Rigaud, Nicolas Lomnie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu |
| 2012 | MMM | Topic Based Query Suggestions for Video Search. | Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia |
| 2011 | CogSci | Extended Visual Memory for Computer-Aided Vision. | Joo-Hwee Lim, Siying Liu |
| 2011 | ICIP | Computer-aided cataract detection using enhanced texture features on retro-illumination lens images. | Xinting Gao, Huiqi Li, Joo-Hwee Lim, Tien Yin Wong |
| 2011 | ICIP | Learning invariant color features with sparse topographic restricted Boltzmann machines. | Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord |
| 2011 | ICIP | Automated nuclei clump decomposition for image analysis in neuronal cell fluorescent microscopy. | Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim |
| 2011 | MMM | Advertisement Image Recognition for a Location-Based Reminder System. | Siying Liu, Yiqun Li, Aiyuan Guo, Joo-Hwee Lim |
| 2010 | ICIP | Automatic optic disc detection through background estimation. | Shijian Lu, Joo-Hwee Lim |
| 2010 | ICIP | Automatic macula detection from retinal images by a line operator. | Shijian Lu, Joo-Hwee Lim |
| 2010 | ICIP | Automatic cell classification and population estimation in blastocystis autophagy images. | Wei Xiong, Joo-Hwee Lim, S. H. Ong, Jiang Liu, Yin Jing, Kevin S. W. Tan |
| 2010 | ICIP | Learning cell geometry models for cell image simulation: An unbiased approach. | Wei Xiong, Yanbo Wang, S. H. Ong, Joo-Hwee Lim, Lijun Jiang |
| 2010 | ICONIP | Dictionary of Features in a Biologically Inspired Approach to Image Classification. | Sepehr Jalali, Joo-Hwee Lim, Sim Heng Ong, Jo Yew Tham |
| 2010 | ICPR | A Recursive and Model-Constrained Region Splitting Algorithm for Cell Clump Decomposition. | Wei Xiong, Sim Heng Ong, Joo-Hwee Lim |
| 2010 | MICCAI | Epitomized Summarization of Wireless Capsule Endoscopic Videos for Efficient Visualization. | 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 |
| 2010 | MICCAI | Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation. | Wei Huang, Kap Luk Chan, Huiqi Li, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong |
| 2009 | BMVC | A Latent Model for Visual Disambiguation of Keyword-based Image Search. | Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, Sujoy Roy |
| 2009 | ICIP | Selecting representative and distinctive descriptors for efficient landmark recognition. | Sheng Gao, Joo-Hwee Lim |
| 2009 | ICIP | Photometric correction of retinal images by polynomial interpolation. | Jiang Liu, Shijian Lu, Joo-Hwee Lim, Zhuo Zhang, Ngan Meng Tan, Damon Wing Kee Wong, Huiqi Li, Tien Yin Wong |
| 2009 | MICCAI | A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking. | Wei Huang, Huiqi Li, Kap Luk Chan, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong |
| 2008 | CVPR | Boosting descriptors condensed from video sequences for place recognition. | Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim |
| 2008 | ICASSP | Using densely recorded scenes for place recognition. | Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim |
| 2008 | ICDM | Similarity Learning for Nearest Neighbor Classification. | Ali Mustafa Qamar, ric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim |
| 2008 | IJCNN | Learning associations of conjuncted fuzzy sets for data prediction. | Hanlin Goh, Joo-Hwee Lim, Chai Quek |
| 2008 | ICPR | Automatic working area classification in peripheral blood smears using spatial distribution features across scales. | 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 |
| 2008 | MMM | Snap2Play: A Mixed-Reality Game Based on Scene Identification. | Tat-Jun Chin, Yilun You, Cline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay |
| 2008 | MMM | Bi-modal Conceptual Indexing for Medical Image Retrieval. | Joo-Hwee Lim, Jean-Pierre Chevallet, Diem Thi Hoang Le, Hanlin Goh |
| 2008 | MMSP | Rich representation and ranking for photographic image retrieval in ImageCLEF 2007. | Sheng Gao, Jean-Pierre Chevallet, Joo-Hwee Lim |
| 2007 | CIKM | Domain knowledge conceptual inter-media indexing: application to multilingual multimedia medical reports. | Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le |
| 2007 | CIKM | Latent semantic fusion model for image retrieval and annotation. | Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jean-Pierre Chevallet |
| 2007 | ICASSP | Outlier Detection from Pooled Data for Image Retrieval System Evaluation. | Wei Xiong, S. H. Ong, Joo-Hwee Lim, Qi Tian, Changsheng Xu, Ning Zhang, Kelvin Weng Chiong Foong |
| 2007 | ICIP | Propagating Image-Level Part Statistics to Enhance Object Detection. | Sheng Gao, Joo-Hwee Lim, Qibin Sun |
| 2007 | MMM | Metadata Management, Reuse, Inference and Propagation in a Collection-Oriented Metadata Framework for Digital Images. | William Ku, Mohan S. Kankanhalli, Joo-Hwee Lim |
| 2006 | ICPR | An ensemble classifier learning approach to ROC optimization. | Sheng Gao, Chin-Hui Lee, Joo-Hwee Lim |
| 2006 | ICPR | Scene Identification using Discriminative Patterns. | Joo-Hwee Lim, Jean-Pierre Chevallet, Sheng Gao |
| 2005 | ECIR | SnapToTell: A Singapore Image Test Bed for Ubiquitous Information Access from Camera. | Jean-Pierre Chevallet, Joo-Hwee Lim, Ramnath Vasudha |
| 2004 | ECCV | Semantics Discovery for Image Indexing. | Joo-Hwee Lim, Jesse S. Jin |
| 2004 | ICIP | Goal detection in soccer video using audio/visual keywords. | Yu-Lin Kang, Joo-Hwee Lim, Mohan S. Kankanhalli, Changsheng Xu, Qi Tian |
| 2004 | ICIP | Combining local class patterns and discovered semantics for image retrieval. | Joo-Hwee Lim, Jesse S. Jin |
| 2004 | ICIP | Unifying local and global content-based similarities for home photo retrieval. | Joo-Hwee Lim, Jesse S. Jin |
| 2004 | ICIP | A generic mid-level representation for semantic video analysis. | Qing Tang, Joo-Hwee Lim, Jesse S. Jin, Haiping Sun, Qi Tian |
| 2004 | ICPR | Visual Keywords Labeling in Soccer Video. | Yu-Lin Kang, Joo-Hwee Lim, Qi Tian, Mohan S. Kankanhalli, Changsheng Xu |
| 2004 | ICPR | Cascading Classifiers for Consumer Image Indexing. | Joo-Hwee Lim, Jesse S. Jin |
| 2004 | PRICAI | Learning and Integrating Semantics for Image Indexing. | Joo-Hwee Lim, Jesse S. Jin |
| 2003 | ICASSP | Real-time camera field-view tracking in soccer video. | Kongwah Wan, Joo-Hwee Lim, Changsheng Xu, Xinguo Yu |
| 2003 | ICIP | Support regions and images for photo event retrieval. | Joo-Hwee Lim, Jesse S. Jin |
| 2003 | IJCAI | Learning Consumer Photo Categories for Semantic Retrieval. | Joo-Hwee Lim, Jesse S. Jin |
| 2002 | CIKM | Symbolic photograph content-based retrieval. | Philippe Mulhem, Joo-Hwee Lim |
| 2002 | ICARCV | Semantic indexing and retrieval of home photos. | Joo-Hwee Lim, Jesse S. Jin |
| 1996 | PRICAI | An Application of Hierarchical Knowledge Integration in Hand-Written Form Processing. | Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan, Ho-Chung Lui |
| 1992 | AAAI | A Framework for Integrating Fault Diagnosis and Incremental Knowledge Acquisition in Connectionist Expert Systems. | Joo-Hwee Lim, Ho-Chung Lui, Pei-Zhuang Wang |