Ka-Hou Chan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Text Classification

Adaptive Binary Arithmetic Coding

Top Venues

IET Image Process.

Publications

Sio Kei Im, Ka-Hou Chan
Dynamic estimator selection for double-bit-range estimation in VVC CABAC entropy coding. IET Image Process. 18 (3) (2024)
Sio Kei Im, Ka-Hou Chan
Local feature-based video captioning with multiple classifier and CARU-attention. IET Image Process. 18 (9) (2024)
Sio Kei Im, Ka-Hou Chan
CABAC-Based ROI Encryption with Mask R-CNN for VVC Codec. IMCOM (2024)
Sio Kei Im, Ka-Hou Chan
Distributed Spatial Transformer for Object Tracking in Multi-Camera. ICACT (2023)
Sio Kei Im, Ka-Hou Chan
Multilayer CARU Model for Text Summarization. BigComp (2023)
Ka-Hou Chan, Sio Kei Im
Faster Inter Prediction by NR-Frame in VVC. ICGSP (2023)
Xuefei Huang, Ka-Hou Chan, Weifan Wu, Hao Sheng, Wei Ke
Fusion of Multi-Modal Features to Enhance Dense Video Caption. Sensors 23 (12) (2023)
Sio Kei Im, Ka-Hou Chan
Context-Adaptive-Based Image Captioning by Bi-CARU. IEEE Access 11 (2023)
Ka-Hou Chan, Sio Kei Im
Using Four Hypothesis Probability Estimators for CABAC in Versatile Video Coding. ACM Trans. Multim. Comput. Commun. Appl. 19 (1s) (2023)
Ka-Hou Chan, Sio Kei Im
Data Stream Classification by Using Stacked CARU Networks. BigComp (2022)
Ka-Hou Chan, Sio Kei Im
Partial Attention Modeling for Sentiment Analysis of Big Data. ICFSP (2022)
Ka-Hou Chan, Sio Kei Im, Wei Ke
Multiple classifier for concatenate-designed neural network. Neural Comput. Appl. 34 (2) (2022)
Ka-Hou Chan, Sio Kei Im
Double bit range estimation with eight estimators for CABAC in VVC. IET Image Process. 16 (12) (2022)
Wei Ke, Ka-Hou Chan
Improving Quantization Matrices for Image Coding by Machine Learning. ICDSP (2022)
Ka-Hou Chan, Sio Kei Im
Using Double Bit Range Estimation for CABAC in VVC. ICIGP (2022)
Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang
Optimization of Language Models by Word Computing. ICGSP (2022)
Wei Ke, Ka-Hou Chan
Pattern Matching Based on Object Graphs. IEEE Access 9 (2021)
Ka-Hou Chan, Wei Ke, Sio Kei Im
A General Method for Generating Discrete Orthogonal Matrices. IEEE Access 9 (2021)
Ka-Hou Chan, Sio Kei Im
Discrete Tchebichef Transform for Versatile Video Coding. ICMR (2021)
Ka-Hou Chan, Sio Kei Im, Wei Ke
A Multiple Classifier Approach for Concatenate-Designed Neural Networks. CoRR (2021)
Ka-Hou Chan, Sio Kei Im
Chebyshev Ambient Occlusion. IEEE Access 9 (2021)
Yanbing Chen, Wei Ke, Ka-Hou Chan, Zhang Xiong
A Human Activity Recognition Approach Based on Skeleton Extraction and Image Reconstruction. ICGSP (2021)
Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang
A Self-Weighting Module to Improve Sentiment Analysis. IJCNN (2021)
Wei Ke, Ka-Hou Chan
A Subtyping Scheme for Nominal and Structural Types Based on Class Graph Equivalence. ICBTA (2021)
Ka-Hou Chan, Wei Ke, Sio Kei Im
A General Method for Generating Discrete Orthogonal Matrices. CoRR (2021)
Ka-Hou Chan, Wei Ke, Sio Kei Im
CARU: A Content-Adaptive Recurrent Unit for the Transition of Hidden State in NLP. ICONIP (1) (2020)
Ka-Hou Chan, Sio Kei Im, Vai-Kei Ian, Ka-Man Chan, Wei Ke
Enhancement Spatial Transformer Networks for Text Classification. ICGSP (2020)
Sio Kei Im, Ka-Hou Chan
Higher precision range estimation for context-based adaptive binary arithmetic coding. IET Image Process. 14 (1) (2020)
Ka-Hou Chan, Sio Kei Im, Wei Ke
VGGreNet: A Light-Weight VGGNet with Reused Convolutional Set. UCC (2020)
Ka-Hou Chan, Sio Kei Im, Wei Ke
Variable-Depth Convolutional Neural Network for Text Classification. ICONIP (5) (2020)
Ka-Hou Chan, Sio Kei Im, Wei Ke
Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks. ICOIN (2020)
Ka-Hou Chan, Sio Kei Im, Wei Ke
Image resizing enhancement with DCT coefficients. ICMV (2019)
Ka-Hou Chan, Wei Ke, Sio Kei Im
Probability κ-means Clustering for Neural Network Architecture. ICAAI (2019)
Sio Kei Im, Ka-Hou Chan
Improving the Discrete Cosine Transform by the Sign Symbol Feature in H.265/HEVC. ICGSP (2018)
Ka-Hou Chan, Wei Ke, Sio Kei Im
Particle-mesh coupling in the interaction of fluid and deformable bodies with screen space refraction rendering. Comput. Animat. Virtual Worlds 29 (1) (2018)
Ka-Hou Chan, Sio Kei Im, Wei Ke, Ngan-Lin Lei
SinP[N]: A Fast Convergence Activation Function for Convolutional Neural Networks. UCC Companion (2018)
Ka-Hou Chan, Sio Kei Im
Fast Grid-Based Fluid Dynamics Simulation with Conservation of Momentum and Kinetic Energy on GPU. ICIG (3) (2017)
Ka-Hou Chan, Sio Kei Im, Wei Ke
Fast Binarisation with Chebyshev Inequality. DocEng (2017)
Sio Kei Im, Mohammad Mahdi Ghandi, Ka-Hou Chan
Fast Intra Prediction Algorithm with Enhanced Sampling Decision for H.265/HEVC. VISIGRAPP (4: VISAPP) (2017)
Sio Kei Im, Ka-Hou Chan
Efficient mode decision with enhanced sampling algorithm for HEVC. WoWMoM (2017)
Sio Kei Im, Mohammad Mahdi Ghandi, Ka-Hou Chan
Non-integer bit estimation for enhanced inter-picture prediction in H.265/HEVC. WoWMoM (2016)
Ka-Hou Chan, Wen Wu, Wei Ke
Simulation of Interaction Between Fluid and Deformable Bodies. ICIG (3) (2015)
Sio Kei Im, Ka-Hou Chan
Multi-lambda search for improved rate-distortion optimization of H.265/HEVC. ICICS (2015)
Simon Chan, Thomas Stone, Kit Pang Szeto, Ka-Hou Chan
PredictionIO: a distributed machine learning server for practical software development. CIKM (2013)