Hai Xia, X.
* 2011: Multi-object visual tracking based on reversible jump Markov chain Monte Carlo
Includes: Hai Xia, X. Hai-Xia, X.
Hai Xian, P.[Pan]
* 2023: Investigation on the blurred image restoration based on brain-inspired model
Includes: Hai Xian, P.[Pan] Hai-Xian, P.[Pan]
Hai Ying
* 2011: Chinese Chess Character Recognition with Radial Harmonic Fourier Moments
* 2011: comparative study of moment-based shape descriptors for product image retrieval, A
Includes: Hai Ying Hai-Ying
Hai Yuan, L.[Liu]
* 2009: Modulation Type Recognition Method Using Wavelet Support Vector Machines, A
Includes: Hai Yuan, L.[Liu] Hai-Yuan, L.[Liu]
Hai Zhou, A.I.
* 2011: Fast human detection using Node-Combined Part Detector
Includes: Hai Zhou, A.I. Hai-Zhou, A.I.
Hai, B.[Bowen]
* 2024: Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation
Hai, G.[Gang]
* 2016: Antarctic Ice Sheet Surface Mass Balance Estimates From 2003 To 2015 Using Icesat And Cryosat-2 Data
* 2019: Mass Balance of Antarctic Ice Sheet From 2003 to 2008: a Systematically Improved New Estimation
* 2019: Multi-source Satellite Observations Reveal Evolution Pattern of Rifts In The Filchner-ronne Ice Shelf, Antarctica
* 2021: Field Validation of Icesat-2 Data Along Chinare Route in East Antarctica
Includes: Hai, G.[Gang] Hai, G.
Hai, H.X.[Hong Xin]
* 2023: Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning
* 2023: TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South-North Water-Diversion Project
* 2023: TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South-North Water-Diversion Project
Includes: Hai, H.X.[Hong Xin] Hai, H.X.[Hong-Xin]
Hai, J.[Jiang]
* 2022: Combining Spatial and Frequency Information for Image Deblurring
* 2023: Advanced RetinexNet: A fully convolutional network for low-light image enhancement
* 2023: R2RNet: Low-light image enhancement via Real-low to Real-normal Network
Hai, J.J.[Jin Jin]
* 2017: Fast medical image segmentation based on patch sharing
* 2018: Wire segmentation for printed circuit board using deep convolutional neural network and graph cut model
Includes: Hai, J.J.[Jin Jin] Hai, J.J.[Jin-Jin]
Hai, K.[Kai]
* 2019: Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high Spatial Resolution Satellites
Hai, L.[Linpeng]
* 2023: Cognitive AmBC-NOMA IoV-MTS Networks With IQI: Reliability and Security Analysis
Hai, L.V.H.[Le Vu Hong]
* 2019: Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
Hai, N.H.
* 2019: Blood Vessels Segmentation Method for Retinal Fundus Images Based On Adaptive Principal Curvature and Image Derivative Operators
* 2020: Multiregion Multiscale Image Segmentation with Anisotropic Diffusion
Includes: Hai, N.H. Hai, N.H.[Nguyen Hoang]
Hai, W.[Wen]
* 2018: Time-scaled interactive object-driven multi-party VR
Hai, X.S.[Xing Shuo]
* 2023: Novel Distributed Situation Awareness Consensus Approach for UAV Swarm Systems, A
Includes: Hai, X.S.[Xing Shuo] Hai, X.S.[Xing-Shuo]
Hai, Y.[Ying]
* 2009: Fast Generation of View-Direction-Free Perspective Display from Distorted Fisheye Image
* 2009: Synchronization of Full-View Image and GPS Data for Route Map Building
* 2010: Full-View Spherical Image Format, A
* 2011: Easy Calibration of a Blind-Spot-Free Fisheye Camera System Using a Scene of a Parking Space
* 2023: Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
* 2023: Rigidity-Aware Detection for 6D Object Pose Estimation
* 2023: Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
* 2024: Detection of Typical Forest Degradation Patterns: Characteristics and Drivers of Forest Degradation in Northeast China
Includes: Hai, Y.[Ying] Hai, Y. Hai, Y.[Yang] Hai, Y.[Yue]
8 for Hai, Y.
Hai, Z.[Zerui]
* 2022: Microwave Breast Imaging Based on Deep Learning