Index for kan_

Kan, A.[Andrey] * 2013: Measures for ranking cell trackers without manual validation
* 2015: Ranking cell tracking systems without manual validation

Kan, B.[Baoshuo] * 2023: Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models

Kan, C.[Chao] * 2002: Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments
* 2013: Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
Includes: Kan, C.[Chao] Kan, C.[Chen]

Kan, C.C.[Chang Cheng] * 2021: Are Electric Vehicles Reshaping the City? An Investigation of the Clustering of Electric Vehicle Owners' Dwellings and Their Interaction with Urban Spaces
Includes: Kan, C.C.[Chang Cheng] Kan, C.C.[Chang-Cheng]

Kan, C.W. * 2010: intelligent knitted garment defect detection and classification model based on Gabor filter and Modified Elman neural network, An

Kan, C.Y. * 2016: Depth estimation from focus and disparity

Kan, G.[Ge] * 2022: Bi-level Doubly Variational Learning for Energy-based Latent Variable Models

Kan, G.M.[Guang Ming] * 2023: Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals, An
* 2024: Inversion of Sub-Bottom Profile Based on the Sediment Acoustic Empirical Relationship in the Northern South China Sea
Includes: Kan, G.M.[Guang Ming] Kan, G.M.[Guang-Ming]

Kan, H.D.[Hai Dong] * 2021: Satellite-Based Land Use Regression Model of Ambient NO2 with High Spatial Resolution in a Chinese City, A
Includes: Kan, H.D.[Hai Dong] Kan, H.D.[Hai-Dong]

Kan, H.Y.[Hao Yu] * 2022: Consistency Analysis of the GNSS Antenna Phase Center Correction Models
Includes: Kan, H.Y.[Hao Yu] Kan, H.Y.[Hao-Yu]

Kan, J.[Jing] * 2012: MEG source reconstruction with basis functions source model
* 2022: Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network
Includes: Kan, J.[Jing] Kan, J.[Jichao]

Kan, J.M.[Jiang Ming] * 2009: Effective Dynamic Object Detecting for Video-Based Forest Fire Smog Recognition
* 2016: Region matching based on colour invariants in RGB orthogonal space
* 2019: Encoder-decoder with densely convolutional networks for monocular depth estimation
* 2022: Automatic Forest DBH Measurement Based on Structure from Motion Photogrammetry
* 2022: Classification of Tree Species in Different Seasons and Regions Based on Leaf Hyperspectral Images
* 2022: Encoder-Decoder Structure with Multiscale Receptive Field Block for Unsupervised Depth Estimation from Monocular Video
* 2024: Point Cloud Registration Framework with Color Information Integration, A
Includes: Kan, J.M.[Jiang Ming] Kan, J.M.[Jiang-Ming]
7 for Kan, J.M.

Kan, J.Y.[Jun Yao] * 2022: Comprehensive Evaluation of Data-Related Factors on BDS-3 B1I + B2b Real-Time PPP/INS Tightly Coupled Integration
Includes: Kan, J.Y.[Jun Yao] Kan, J.Y.[Jun-Yao]

Kan, K.K.[Kelvin K.] * 2020: two-stage method for spectral-spatial classification of hyperspectral images, A

Kan, K.S. * 1997: Edge Preservance and Block Effect Reduction by Block Coefficient Diffusion Method
* 1998: Active Scene Analysis-Based Approach for Pseudoconstant Bit-Rate Video Coding, An

Kan, L.[Liang] * 2020: Mountain Top-Based Atmospheric Radio Occultation Observations with Open/Closed Loop Tracking: Experiment and Validation

Kan, M.[Meina] * 2011: Adaptive discriminant analysis for face recognition from single sample per person
* 2011: Side-Information based Linear Discriminant Analysis for Face Recognition
* 2013: Adaptive discriminant learning for face recognition
* 2013: Fast and high accuracy pattern matching using multi-stage refining eigen template
* 2013: Learning Prototype Hyperplanes for Face Verification in the Wild
* 2014: Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment
* 2014: Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace
* 2014: Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search
* 2014: Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses
* 2014: Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment
* 2015: AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation
* 2015: Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation
* 2015: Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network
* 2015: Report on the FG 2015 Video Person Recognition Evaluation
* 2016: Multi-view Deep Network for Cross-View Classification
* 2016: Multi-View Discriminant Analysis
* 2016: Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders
* 2017: Fully End-to-End Cascaded CNN for Facial Landmark Detection, A
* 2017: LDF-Net: Learning a Displacement Field Network for Face Recognition across Pose
* 2017: Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning
* 2017: Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition
* 2017: Robust FEC-CNN: A High Accuracy Facial Landmark Detection System
* 2017: Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels
* 2018: Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
* 2018: Face Anti-Spoofing with Multi-Scale Information
* 2018: Face Recognition with Contrastive Convolution
* 2018: Generative Adversarial Network with Spatial Attention for Face Attribute Editing
* 2018: Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject
* 2018: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
* 2018: Task-Adaptive Feature Reweighting for Few Shot Classification
* 2019: AttGAN: Facial Attribute Editing by Only Changing What You Want
* 2019: Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
* 2019: Hierarchical Attention for Part-Aware Face Detection
* 2019: S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals
* 2019: Weakly Supervised Object Detection With Segmentation Collaboration
* 2020: Deformable face net for pose invariant face recognition
* 2020: Learning deep face representation with long-tail data: An aggregate-and-disperse approach
* 2020: Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
* 2020: Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization
* 2021: EigenGAN: Layer-Wise Eigen-Learning for GANs
* 2021: Image style disentangling for instance-level facial attribute transfer
* 2022: GAN with Multivariate Disentangling for Controllable Hair Editing
* 2022: Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation
* 2022: Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation
* 2022: Personalized Convolution for Face Recognition
* 2023: BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation
* 2023: DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization
* 2024: Shape-biased CNNs are Not Always Superior in Out-of-Distribution Robustness
Includes: Kan, M.[Meina] Kan, M.[Michiaki] Kan, M.
48 for Kan, M.

Kan, M.Y.[Min Yen] * 2006: NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
* 2006: Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting
* 2021: Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes, A
* 2022: FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Includes: Kan, M.Y.[Min Yen] Kan, M.Y.[Min-Yen]

Kan, N. * 2021: Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach
* 2024: Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences
Includes: Kan, N. Kan, N.[Nuowen]

Kan, N.W.[Nuo Wen] * 2018: Server-Side Rate Adaptation for Multi-User 360-Degree Video Streaming
* 2019: Server-Side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming, A
* 2022: RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling
Includes: Kan, N.W.[Nuo Wen] Kan, N.W.[Nuo-Wen]

Kan, P.[Peter] * 2013: Differential Progressive Path Tracing for High-Quality Previsualization and Relighting in Augmented Reality
* 2015: High-Quality Consistent Illumination in Mobile Augmented Reality by Radiance Convolution on the GPU
* 2018: DeepLight: light source estimation for augmented reality using deep learning
* 2020: DeepLight: light source estimation for augmented reality using deep learning
Includes: Kan, P.[Peter] Kán, P.[Peter]

Kan, P.Y.[Peng Yu] * 2020: Application of Image Segmentation in Surface Water Extraction of Freshwater Lakes using Radar Data
Includes: Kan, P.Y.[Peng Yu] Kan, P.Y.[Peng-Yu]

Kan, S. * 2020: PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification
* 2021: Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval

Kan, S.C.[Shi Chao] * 2019: Supervised Deep Feature Embedding With Handcrafted Feature
* 2019: supervised learning to index model for approximate nearest neighbor image retrieval, A
* 2020: Metric learning-based kernel transformer with triplets and label constraints for feature fusion
* 2020: Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
* 2021: Block-based image matching for image retrieval
* 2021: Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples
* 2021: Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning
* 2021: Spatial Assembly Networks for Image Representation Learning
* 2022: GAN-based input-size flexibility model for single image dehazing, A
* 2022: Local Semantic Correlation Modeling Over Graph Neural Networks for Deep Feature Embedding and Image Retrieval
* 2023: Contrastive Bayesian Analysis for Deep Metric Learning
* 2023: graph model-based multiscale feature fitting method for unsupervised anomaly detection, A
* 2023: Multi-layer capsule network with joint dynamic routing for fire recognition
* 2023: Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection
Includes: Kan, S.C.[Shi Chao] Kan, S.C.[Shi-Chao]
14 for Kan, S.C.

Kan, T. * 2017: Importance of Digital Methods in Preservation of Cultural Heritage The Example of Zirnikli Mansion, The
* 2017: Selimiye Mosque of Edirne, Turkey: An Immersive And Interactive Virtual Reality Experience Using Htc Vive, The
* 2019: Rapid 3D Digitalization of the Cultural Heritage: A Case Study On Istanbul Suleymaniye Social Complex (Kulliye)
* 2019: Virtualising An Ottoman Fortress: Laser Scanning and 3D Modelling For The Development of An Interactive, Immersive Virtual Reality Application

Kan, V.[Valery] * 2024: Study of Internal Gravity Waves in the Earth's Atmosphere by Radio Occultations: A Review, The

Kan, W. * 2020: Multisource Assessments of the FengYun-3D Microwave Humidity Sounder (MWHS) On-Orbit Performance

Kan, W.L.[Wan Lin] * 2022: All-Sky Scattering Index Derived from Microwave Sounding Data at Dual Oxygen Absorption Bands, An
* 2022: Impact of Fengyun-3E Microwave Temperature and Humidity Sounder Data on CMA Global Medium Range Weather Forecasts
Includes: Kan, W.L.[Wan Lin] Kan, W.L.[Wan-Lin]

Kan, W.S.[Wen Sheng] * 2016: Visualizing the Structure of the Earth's Lithosphere on the Google Earth Virtual-Globe Platform
Includes: Kan, W.S.[Wen Sheng] Kan, W.S.[Wen-Sheng]

Kan, X.[Xi] * 2021: Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning
* 2023: BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
Includes: Kan, X.[Xi] Kan, X.[Xuan]

Kan, X.Y.[Xin Yue] * 2023: Centroid Distance Keypoint Detector for Colored Point Clouds
Includes: Kan, X.Y.[Xin Yue] Kan, X.Y.[Xin-Yue]

Kan, Y. * 2021: Novel Approach to Estimating Missing Pairs of On/Off Ramp Flows, A
* 2023: Deep Multi-Exposure Image Fusion for Dynamic Scenes
* 2023: Video Denoising for Scenes With Challenging Motion: A Comprehensive Analysis and a New Framework
Includes: Kan, Y. Kan, Y.[Yan]

Kan, Z.[Zhehan] * 2022: Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
* 2022: Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios
* 2023: Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
* 2024: Divergent Component of Motion Planning and Adaptive Repetitive Control for Wearable Walking Exoskeletons
Includes: Kan, Z.[Zhehan] Kan, Z.[Zhen]

Kan, Z.H.[Zi Han] * 2015: Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification
* 2017: Uncovering Distribution Patterns of High Performance Taxis from Big Trace Data
* 2020: Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong
* 2020: Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data
* 2021: COVID-19 Infection and Mortality: Association with PM2.5 Concentration and Population Density: An Exploratory Study
* 2021: Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History
* 2023: Spatial-Temporal Analysis of Vehicle Routing Problem from Online Car-Hailing Trajectories
Includes: Kan, Z.H.[Zi Han] Kan, Z.H.[Zi-Han]
7 for Kan, Z.H.

Index for "k"


Last update: 2-May-24 21:08:06
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