Cen, C.J.[Chao Jun]
* 2020: Detection of Maize Tassels from UAV RGB Imagery with Faster R-CNN
* 2023: Dual-attention global domain adaptation for mariculture image enhancement
Includes: Cen, C.J.[Chao Jun] Cen, C.J.[Chao-Jun]
Cen, F.[Feng]
* 2004: enhanced appearance model for ultrasound image segmentation, An
* 2020: MDFN: Multi-scale deep feature learning network for object detection
* 2021: Deep feature augmentation for occluded image classification
Cen, G.D.[Guan Dong]
* 2018: Image Denoising Method Based on a Deep Convolution Neural Network
* 2018: Image Super-Resolution via a Novel Cascaded Convolutional Neural Network Framework
* 2018: Mixed L1 norm and L2 norm regularized sparsity adaptive matching pursuit algorithm
* 2020: Detonator coded character spotting based on convolutional neural networks
Includes: Cen, G.D.[Guan Dong] Cen, G.D.[Guan-Dong]
Cen, H.B.[Hao Bin]
* 2022: Applying Deep Learning in the Prediction of Chlorophyll-a in the East China Sea
Includes: Cen, H.B.[Hao Bin] Cen, H.B.[Hao-Bin]
Cen, H.Y.[Hai Yan]
* 2006: Time Series Analysis of Grey Forecasting Based on Wavelet Transform and Its Prediction Applications
* 2018: Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
* 2019: Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm
* 2021: Determination of Key Phenological Phases of Winter Wheat Based on the Time-Weighted Dynamic Time Warping Algorithm and MODIS Time-Series Data
* 2023: PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
Includes: Cen, H.Y.[Hai Yan] Cen, H.Y.[Hai-Yan]
Cen, J.
* 2019: Cross-Line Pedestrian Counting Based on Spatially-Consistent Two-Stage Local Crowd Density Estimation and Accumulation
* 2021: Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection
* 2021: Deep Metric Learning for Open World Semantic Segmentation
* 2021: MPI: Multi-receptive and parallel integration for salient object detection
* 2021: Open-set 3D Object Detection
* 2022: Lightweight Multi-Scale Context Network for Salient Object Detection in Optical Remote Sensing Images, A
* 2022: Open-world Semantic Segmentation for LIDAR Point Clouds
* 2023: Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition
Includes: Cen, J. Cen, J.[Jun]
8 for Cen, J.
Cen, J.P.[Jie Peng]
* 2016: Cross-View Action Recognition Based on a Statistical Translation Framework
* 2018: Temporal Inception Architecture for Action Recognition with Convolutional Neural Networks
Includes: Cen, J.P.[Jie Peng] Cen, J.P.[Jie-Peng]
Cen, J.Z.[Jia Zhong]
* 2023: Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction, A
* 2024: Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes
Includes: Cen, J.Z.[Jia Zhong] Cen, J.Z.[Jia-Zhong]
Cen, L.[Ling]
* 2008: Hybrid PNN-GMM classification scheme for speech emotion recognition, A
* 2010: How context helps: A discriminative codeword selection method for object detection
Includes: Cen, L.[Ling] Cen, L.[Lei]
Cen, L.H.[Li Hui]
* 2019: supervised learning to index model for approximate nearest neighbor image retrieval, A
* 2023: Multi-layer capsule network with joint dynamic routing for fire recognition
Includes: Cen, L.H.[Li Hui] Cen, L.H.[Li-Hui]
Cen, M.[Minyi]
* 2008: Novel Method for Extracting Building from LIDAR Data: Fc-S method, A
* 2017: Comp-LOP: Complex form of local orientation plane for object tracking
* 2018: Fully Convolutional Siamese Fusion Networks for Object Tracking
* 2021: 3D Instance Segmentation and Object Detection Framework Based on the Fusion of Lidar Remote Sensing and Optical Image Sensing
* 2021: Dynamic Intervisibility Analysis of 3D Point Clouds
Includes: Cen, M.[Minyi] Cen, M. Cen, M.[Ming]
Cen, M.Y.[Min Yi]
* 2001: Robust Surface Matching for Automated Detection of Local Deformations Using Least-Median-of-Squares Estimator
Includes: Cen, M.Y.[Min Yi] Cen, M.Y.[Min-Yi]
Cen, S.W.
* 1995: Adaptive Methods for Distributed Video Presentation
Cen, S.X.[Shi Xin]
* 2022: Multi-task Facial Activity Patterns Learning for micro-expression recognition using Joint Temporal Local Cube Binary Pattern
* 2024: MCGCN: Multi-Correlation Graph Convolutional Network for Pedestrian Attribute Recognition
Includes: Cen, S.X.[Shi Xin] Cen, S.X.[Shi-Xin]
Cen, Y.[Yi]
* 2014: Evaluation of Multiple Spring Phenological Indicators of Yearly GPP and NEP at Three Canadian Forest Sites
* 2015: Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types
* 2016: Evaluating an Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought Monitoring in the Continental United States
* 2016: Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production
* 2017: Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery
* 2019: Joint Sparse and Low-Rank Multi-Task Learning with Extended Multi-Attribute Profile for Hyperspectral Target Detection
* 2019: Spectral-Spatial Cascaded 3D Convolutional Neural Network with a Convolutional Long Short-Term Memory Network for Hyperspectral Image Classification, A
* 2019: supervised learning to index model for approximate nearest neighbor image retrieval, A
* 2020: Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset, A
* 2020: Learning-Based Hyperspectral Imagery Compression through Generative Neural Networks
* 2020: Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising
* 2020: PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification
* 2021: Fast Hyperspectral Anomaly Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile, A
* 2021: Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval
* 2021: Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval
* 2022: Early Detection of Bacterial Wilt in Tomato with Portable Hyperspectral Spectrometer
* 2022: Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset, A
* 2022: Monitoring Spatio-Temporal Dynamics in the Eastern Plain Lakes of China Using Long-Term MODIS UNWI Index
* 2022: Prediction of Total Phosphorus Concentration in Macrophytic Lakes Using Chlorophyll-Sensitive Bands: A Case Study of Lake Baiyangdian
* 2023: Dependence of the Bidirectional Reflectance Distribution Function Factor fnof' on the Particulate Backscattering Ratio in an Inland Lake
Includes: Cen, Y.[Yi] Cen, Y.[Yigang] Cen, Y.
20 for Cen, Y.
Cen, Y.G.[Yi Gang]
* 2017: Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery
* 2018: Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising
* 2019: Dual-scale weighted structural local sparse appearance model for object tracking
* 2019: Supervised Deep Feature Embedding With Handcrafted Feature
* 2020: Abnormal Event Detection in Surveillance Videos Based on Low-Rank and Compact Coefficient Dictionary Learning
* 2020: Metric learning-based kernel transformer with triplets and label constraints for feature fusion
* 2021: Block-based image matching for image retrieval
* 2021: Low-Rank and Sparse Tensor Representation for Multi-View Subspace Clustering
* 2021: Pedestrian detection with super-resolution reconstruction for low-quality image
* 2021: Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning
* 2021: Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
* 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: Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering
* 2023: Contrastive Bayesian Analysis for Deep Metric Learning
* 2023: graph model-based multiscale feature fitting method for unsupervised anomaly detection, A
* 2023: Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection
* 2023: Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering
* 2024: Radar Signal Classification with Multi-Frequency Multi-Scale Deformable Convolutional Networks and Attention Mechanisms
Includes: Cen, Y.G.[Yi Gang] Cen, Y.G.[Yi-Gang]
19 for Cen, Y.G.
Cen, Y.H.[Yao Hui]
* 2019: fast CU partition method based on CU depth spatial correlation and RD cost characteristics for HEVC intra coding, A
Includes: Cen, Y.H.[Yao Hui] Cen, Y.H.[Yao-Hui]
Cen, Y.L.[Yue Liang]
* 2021: Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion
Includes: Cen, Y.L.[Yue Liang] Cen, Y.L.[Yue-Liang]
Cen, Y.Q.[Yan Qing]
* 2022: Roadside Decision-Making Methodology Based on Deep Reinforcement Learning to Simultaneously Improve the Safety and Efficiency of Merging Zone, A
Includes: Cen, Y.Q.[Yan Qing] Cen, Y.Q.[Yan-Qing]
Cen, Y.T.[Yi Ting]
* 2024: Performance Enhancement of Tightly Coupled GNSS/IMU Integration Based on Factor Graph With Robust TDCP Loop Closure
Includes: Cen, Y.T.[Yi Ting] Cen, Y.T.[Yi-Ting]
Cen, Z.[Zhi]
* 2023: Learning Human Mesh Recovery in 3D Scenes