Kung, B.H.[Bo Han]
* 2021: Class-Aware Robust Adversarial Training for Object Detection
* 2021: Naturalistic Physical Adversarial Patch for Object Detectors
* 2021: Squeeze and Reconstruct: Improved Practical Adversarial Defense Using Paired Image Compression and Reconstruction
Includes: Kung, B.H.[Bo Han] Kung, B.H.[Bo-Han]
Kung, C.S.
* 2000: Simple Processor Core Design for DCT/IDCT, A
Kung, F.K.[Fu K.]
* 1990: Industrial part recognition using a component-index
Kung, H.T.
* 1983: Two-Level Pipelined Systolic Array for Multidimensional Convolution
* 1984: Systolic Algorithms for the CMU Warp Processor
* 1985: Synchronizing Large VLSI Processor Arrays
* 1987: Warp Computer: Architecture, Implementation and Performance, The
* 2015: Sparse Coding Trees with application to emotion classification
* 2016: BranchyNet: Fast inference via early exiting from deep neural networks
* 2016: Deep Sparse-coded Network (DSN)
* 2016: Lambda means clustering: Automatic parameter search and distributed computing implementation
* 2018: Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks
* 2020: Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method
* 2022: Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
* 2022: SphereFed: Hyperspherical Federated Learning
* 2022: SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
* 2023: Methodology for Mapping the Ecological Security Pattern and Ecological Network in the Arid Region of Xinjiang, China
Includes: Kung, H.T. Kung, H.T.[Hsiang-Te]
14 for Kung, H.T.
Kung, H.W.[Han Wei]
* 2018: HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks
* 2021: Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Includes: Kung, H.W.[Han Wei] Kung, H.W.[Han-Wei]
Kung, L.S.
* 1993: procedure of reading mechanical engineering drawings for CAD applications, A
Kung, M.C.[Man Cheung]
* 2009: Highly Parallel Rate-Distortion Optimized Intra-Mode Decision on Multicore Graphics Processors
* 2009: Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders
* 2010: Video Coding on Multicore Graphics Processors
Includes: Kung, M.C.[Man Cheung] Kung, M.C.[Man-Cheung]
Kung, N.[Nina]
* 2005: Grayscale image connected components segmentation
Kung, P.[Pin]
* 2021: Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching
* 2022: Enhancing Front-Vehicle Detection in Large Vehicle Fleet Management
Kung, S.
* 2000: Dynamic Resource Allocation Via Video Content and Short-term Traffic Statistics
* 2018: Blurred Image Region Detection based on Stacked Auto-Encoder
* 2020: Adaptive Irregular Graph Construction-Based Salient Object Detection
Kung, S.Y.
* 1983: On Two-Dimensional Markov Spectral Estimation
* 1990: object recognition system using stochastic knowledge source and VLSI parallel architecture, An
* 1992: Hidden Markov Models For Character Recognition
* 1994: SVD approach to multi-camera-multi-target 3-D motion-shape analysis, An
* 1995: Decision-based neural network for face recognition system
* 1995: Multi-level pixel difference classification methods
* 1995: Probabilistic DBNN via expectation-maximization with multi-sensor classification applications
* 1996: Feature Tracking Algorithm Using Neighborhood Relaxation with Multi-Candidate Pre-Screening, A
* 1996: Object-Based Scene Segmentation Combining Motion and Image Cues
* 1996: Video shot classification using human faces
* 1997: Face Recognition/Detection by Probabilistic Decision-Based Neural-Network
* 1997: Linear Systolic Array for Real Time Morphological Image Processing, A
* 1997: Principal Component Clustering Approach to Object Oriented Motion Segmentation and Estimation, A
* 1998: Applications of Artificial Neural Networks to Image Processing
* 1998: Neural network for locating and recognizing a deformable object
* 1998: Quantification and Segmentation of Brain Tissues from MR-Images: A Probabilistic Neural Network Approach
* 1998: Quantitative-Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
* 1998: Special Section on Computational Intelligence in Image Processing
* 1999: Fast Rate-Optimized Motion Estimation Algorithm for Low-Bit-Rate Video Coding, A
* 2001: Analytical model of a three-dimensional integral image recording system that uses circular- and hexagonal-based spherical surface microlenses
* 2003: Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification
* 2004: Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
* 2009: Biomedical Imaging
* 2009: Feature-based registration of confocal fluorescence endomicroscopy images
* 2014: Image Restoration via Multi-prior Collaboration
* 2014: Viewpoint-independent hand gesture recognition with Kinect
* 2017: Hyperspectral and Multispectral Image Fusion Based on Local Low Rank and Coupled Spectral Unmixing
* 2017: Salient object detection via a linear feedback control system
* 2018: Multi-scale Generative Adversarial Networks for Crowd Counting
* 2018: Super-resolution Imaging Based on Global Interpolation and Structural Similarities
* 2019: Salient Object Detection via Fuzzy Theory and Object-Level Enhancement
* 2019: Semi-Supervised Salient Object Detection Using a Linear Feedback Control System Model
* 2020: Exploring Highly Efficient Compact Neural Networks For Image Classification
* 2021: Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes
* 2021: Content-Aware GAN Compression
* 2021: Discriminant Information Approach to Deep Neural Network Pruning, A
* 2021: Hierarchically Aggregated Residual Transformation for Single Image Super Resolution
* 2021: Temporal Action Localization Using Long Short-Term Dependency
* 2022: 3D-FM GAN: Towards 3D-Controllable Face Manipulation
* 2022: CHEX: CHannel EXploration for CNN Model Compression
* 2022: Class-Discriminative CNN Compression
* 2022: Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking
* 2022: Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution
* 2022: Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search
* 2022: Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective
* 2022: SRODNet: Object Detection Network Based on Super Resolution for Autonomous Vehicles
* 2023: Semantic Relevance Learning for Video-Query Based Video Moment Retrieval
Includes: Kung, S.Y. Kung, S.Y.[Sun-Yuan]
47 for Kung, S.Y.
Kung, W.Y.[Wei Ying]
* 2004: Error resilience analysis of multi-hypothesis motion compensated prediction for video coding
* 2005: Packet video transmission over wireless channels with adaptive channel rate allocation
* 2006: Analysis of Multihypothesis Motion Compensated Prediction (MHMCP) for Robust Visual Communication
* 2006: Spatial and Temporal Error Concealment Techniques for Video Transmission Over Noisy Channels
Includes: Kung, W.Y.[Wei Ying] Kung, W.Y.[Wei-Ying] Kung, W.Y.
Kungurtsev, V.[Vyacheslav]
* 2023: When Do Curricula Work in Federated Learning?