Fong, A.[Amelia]
* 1990: Algorithms and Architectures for a Class of Non-Linear Hybrid Filters
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
Includes: Fong, A.[Amelia] Fong, A.[Anesco]
Fong, A.C.
* 1984: Fast Discrimination Between Homogeneous and Textured Regions
Fong, A.C.M.
* 2012: Generation of Personalized Ontology Based on Consumer Emotion and Behavior Analysis
* 2012: Quantitative Study of Individual Emotional States in Social Networks
* 2023: Sustainable Micromobility Management in Smart Cities
Includes: Fong, A.C.M. Fong, A.C.M.[Alvis C. M.]
Fong, A.M.[Aik Meng]
* 2005: Adaptive autofocusing: a closed-loop perspective
Fong, B.[Bernard]
* 2012: Affective Computing in Consumer Electronics
* 2023: Sustainable Micromobility Management in Smart Cities
Fong, C.B.
* 1984: Predictive Source Coding Techniques Using Maximum Likelihood Prediction for Compression of Digitized Images
Fong, C.K.[Chun Ki]
* 2001: Guaranteeing the probability of success using repeated runs of genetic algorithm
* 2001: Novel Robust Statistical Design of the Repeated Genetic Algorithm, A
* 2004: Edge model based segmentation
* 2004: Enhancement in performance of genetic algorithm for object location problem
* 2004: Guaranteeing the probability of success using repeated runs of genetic algorithm
* 2005: robust iterative hypothesis testing design of the repeated genetic algorithm, A
* 2008: Fast Motion Estimation for H.264/AVC in Walsh-Hadamard Domain
* 2009: 2-D Order-16 Integer Transforms for HD Video Coding
* 2010: Simple order-16 Integer Transform for video coding
* 2012: LLM Integer Cosine Transform and its Fast Algorithm
* 2017: Recursive Integer Cosine Transform for HEVC and Future Video Coding Standards
* 2019: SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC
* 2020: Global Rate-Distortion Optimization-Based Rate Control for HEVC HDR Coding
Includes: Fong, C.K.[Chun Ki] Fong, C.K.[Chi-Keung] Fong, C.K.
13 for Fong, C.K.
Fong, C.M.[Cher Min]
* 2019: Image quality assessment for advertising applications based on neural network
Includes: Fong, C.M.[Cher Min] Fong, C.M.[Cher-Min]
Fong, D.[Dennis]
* 2022: Consistent Explanations by Contrastive Learning
Fong, D.Y.S.[David Yu Shan]
* 1990: string pattern recognition approach to polygon clipping, A
Includes: Fong, D.Y.S.[David Yu Shan] Fong, D.Y.S.[David Yu-Shan]
Fong, F.K.
* 1999: DSP-based system for real-time video communications
Fong, H.S.
* 1996: Fuzzy Substroke Extractor for Handwritten Chinese Characters, A
Fong, J.[James]
* 2021: R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina
Fong, K.F.
* 2004: Efficient Fingerprint Image Enhancement for Mobile Embedded Systems
Fong, K.L.
* 1999: Fast Algorithm for Designing Stack Filters, A
Fong, P.[Philip]
* 2005: Sensing Deforming and Moving Objects with Commercial Off the Shelf Hardware
Fong, R.
* 2018: Net2Vec: Quantifying and Explaining How Concepts are Encoded by Filters in Deep Neural Networks
* 2019: Occlusions for Effective Data Augmentation in Image Classification
* 2019: Understanding Deep Networks via Extremal Perturbations and Smooth Masks
* 2020: Contextual Semantic Interpretability
* 2020: There and Back Again: Revisiting Backpropagation Saliency Methods
* 2021: On Compositions of Transformations in Contrastive Self-Supervised Learning
* 2022: HIVE: Evaluating the Human Interpretability of Visual Explanations
* 2023: Gender Artifacts in Visual Datasets
* 2023: Improving Data-Efficient Fossil Segmentation via Model Editing
* 2023: Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
Includes: Fong, R. Fong, R.[Ruth]
10 for Fong, R.
Fong, R.C.[Ruth C.]
* 2017: Interpretable Explanations of Black Boxes by Meaningful Perturbation
Fong, S.[Sandiway]
* 2010: Improving and Aligning Speech with Presentation Slides
* 2021: Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm
* 2022: 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS, A
Includes: Fong, S.[Sandiway] Fong, S.[Simon]
Fong, S.L.[Silas L.]
* 2022: Low-Latency Network-Adaptive Error Control for Interactive Streaming
Fong, T.[Terry]
* 2010: Lunar Terrain and Albedo Reconstruction of the Apollo 15 Zone
* 2014: Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection, An
* 2014: Planetary rover localization within orbital maps
* 2015: Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks
* 2016: Horizon based orientation estimation for planetary surface navigation
* 2017: On Crater Verification Using Mislocalized Crater Regions
* 2019: Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks
* 2020: Horizon line detection using supervised learning and edge cues
Includes: Fong, T.[Terry] Fong, T.
8 for Fong, T.
Fong, T.W.
* 2018: Underpinnings of Workload in Unmanned Vehicle Systems, The
Fong, W.C.
* 2002: Integer lapped transforms and their applications to image coding
Fong, W.T.[Wee Teck]
* 2012: Immersive VR System for Sports Education, An
Fong, Y.S.[Yu Shan]
* 1985: Centroid Tracking Scheme in a Weighted Coordinate System, A
Includes: Fong, Y.S.[Yu Shan] Fong, Y.S.[Yu-Shan]
Fonga, H.
* 1996: Pattern-Recognition in Gray-Level Images by Fourier-Analysis
* 1996: Set of Invariant Features for Three-Dimensional Gray Level Objects by Harmonic Analysis, A
Fongaro, C.T.[Caio T.]
* 2016: Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map
* 2016: Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification
* 2018: Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images