Foo, B.[Brian]
* 2007: Graceful Quality Degradation for Video Decoding Systems Through Priority Scheduling and Processor Power Adaptation
* 2009: Informationally Decentralized System Resource Management for Multiple Multimedia Tasks
* 2010: Distributed Approach for Optimizing Cascaded Classifier Topologies in Real-Time Stream Mining Systems, A
* 2011: Configuring Trees of Classifiers in Distributed Multimedia Stream Mining Systems
Includes: Foo, B.[Brian] Foo, B.
Foo, C.
* 2020: Holistic Multi-Modal Memory Network for Movie Question Answering
Foo, C.F.[Chi Fa]
* 2022: Image Data Augmentation with Unpaired Image-to-Image Camera Model Translation
Foo, C.S.[Chuan Sheng]
* 2019: MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
* 2020: Empirical Analysis Of Overfitting And Mode Drop In GAN Training
* 2021: Exploring Spatial Diversity for Region-Based Active Learning
* 2021: Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs
* 2022: Domain Generalization via Selective Consistency Regularization for Time Series Classification
* 2022: Exploring Active Learning for Semiconductor Defect Segmentation
* 2022: MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection
* 2022: Mixed Membership Generative Adversarial Networks
* 2022: Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
* 2022: Scalable and Practical Natural Gradient for Large-Scale Deep Learning
* 2022: SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
* 2023: Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
* 2024: COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
* 2024: Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
* 2024: PromptAD: Zero-shot Anomaly Detection using Text Prompts
Includes: Foo, C.S.[Chuan Sheng] Foo, C.S. Foo, C.S.[Chuan-Sheng]
15 for Foo, C.S.
Foo, E.[Ernest]
* 2016: Survey and Analysis of the GNSS Spoofing Threat and Countermeasures, A
Foo, J.J.[Jun Jie]
* 2007: Detection of near-duplicate images for web search
* 2020: Outlier percentage estimation for shape- and parameter-independent outlier detection
* 2023: 3D detection transformer: Set prediction of objects using point clouds
Includes: Foo, J.J.[Jun Jie] Foo, J.J.[Ji Jinn]
Foo, J.Y.A.
* 2008: Use of Independent Component Analysis to Reduce Motion Artifact in Pulse Transit Time Measurement
Foo, K.Y.
* 2018: Assessing the Condition of Buried Pipe Using Ground Penetrating Radar (GPR)
Foo, L.[Lewis]
* 2013: talking profile to distinguish identical twins, A
* 2014: talking profile to distinguish identical twins, A
Foo, L.G.[Lin Geng]
* 2022: Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
* 2022: ERA: Expert Retrieval and Assembly for Early Action Prediction
* 2022: GradAuto: Energy-Oriented Attack on Dynamic Neural Networks
* 2022: Improving the Reliability for Confidence Estimation
* 2023: Characteristic Function-Based Method for Bottom-Up Human Pose Estimation, A
* 2023: DiffPose: Toward More Reliable 3D Pose Estimation
* 2023: Distribution-Aligned Diffusion for Human Mesh Recovery
* 2023: GradMDM: Adversarial Attack on Dynamic Networks
* 2023: System-Status-Aware Adaptive Network for Online Streaming Video Understanding
* 2023: Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
* 2023: Towards More Reliable Confidence Estimation
* 2023: Unified Pose Sequence Modeling
* 2024: Progressive Channel-Shrinking Network
13 for Foo, L.G.
Foo, M.H.[Min Hui]
* 2013: Mixed Reality Virtual Clothes Try-On System, A
Includes: Foo, M.H.[Min Hui] Foo, M.H.[Min-Hui]
Foo, S.
* 2004: Real time texture classification using field programmable gate arrays
Foo, S.A.[Shawna A.]
* 2020: Coral Bleaching Detection in the Hawaiian Islands Using Spatio-Temporal Standardized Bottom Reflectance and Planet Dove Satellites
Foo, S.F.[Siang Fook]
* 2010: Multimodal Sleeping Posture Classification
Foo, S.W.[Say Wei]
* 2004: Recognition of visual speech elements using adaptively boosted hidden Markov models
* 2006: Dynamic Directional Gradient Vector Flow for Snakes
* 2007: Boundary Detection in Echocardiographic Images Using Markovian Level Set Method
Includes: Foo, S.W.[Say Wei] Foo, S.W. Foo, S.W.[Say-Wei]