Vong, A.[Andre]
* 2021: How to Build a 2D and 3D Aerial Multispectral Map?: All Steps Deeply Explained
Includes: Vong, A.[Andre] Vong, A.[André]
Vong, C.
* 2019: 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation
* 2019: SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention
* 2019: Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy
Vong, C.M.[Chi Man]
* 2012: Modelling and prediction of automotive engine air-ratio using relevance vector machine
* 2016: Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
* 2017: BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation
* 2018: Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax
* 2020: Efficient Outdoor 3d Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts
* 2021: Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection
* 2021: Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation
* 2022: Effective and efficient pixel-level detection for diverse video copy-move forgery types
* 2022: Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters
Includes: Vong, C.M.[Chi Man] Vong, C.M.[Chi-Man]
9 for Vong, C.M.
Vong, C.N.[Chin Nee]
* 2019: Estimation of the Maturity Date of Soybean Breeding Lines Using UAV-Based Multispectral Imagery
Vongkulbhisal, J.[Jayakorn]
* 2016: Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories
* 2017: Beacon-Guided Structure from Motion for Smartphone-Based Navigation
* 2017: Discriminative Optimization: Theory and Applications to Point Cloud Registration
* 2018: Inverse Composition Discriminative Optimization for Point Cloud Registration
* 2019: Discriminative Optimization: Theory and Applications to Computer Vision
* 2019: Unifying Heterogeneous Classifiers With Distillation
* 2021: On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
* 2024: Sequential Learning-based Approach for Monocular Human Performance Capture, A
Includes: Vongkulbhisal, J.[Jayakorn] Vongkulbhisal, J.
8 for Vongkulbhisal, J.
Vongkunghae, A.
* 2003: printer model using signal processing techniques, A
Vongkusolkit, J.[Jirapa]
* 2023: Near Real-Time Flood Mapping with Weakly Supervised Machine Learning
Vongsy, K.
* 2015: Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of Residual Spatial Misregistration