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Antoni B. Chan
Also published under:Antoni Chan, A. B. Chan
Affiliation
Department of Computer Science, City University of Hong Kong
Topic
Bounding Box,Deep Neural Network,Density Map,Loss Function,Neural Network,Bayesian Neural Network,Convolutional Neural Network,Feature Maps,Gaussian Kernel,Gaussian Mixture Model,L2 Loss,Latent Variables,Object Detection,Representation Learning,Self-supervised Learning,Validation Set,Variational Inference,Video Frames,Adversarial Attacks,Attention Map,Cluster Centers,Common Words,Covariance Matrix,Cross-entropy Loss,Crowded Scenes,Definition Of Function,Distinct Words,Expectation Maximization,Eye Contact,F1 Score,Finite Measure,Frequency Domain,Functional Characterization,Heatmap,Human Pose Estimation,Hyperparameters,Image Captioning,Image Retrieval,Intermediate Representation,Kullback-Leibler,Large-scale Datasets,Large-scale Models,Latent Space,Linear Projection,Localization Performance,Maximum Norm,Negative Samples,Noisy Data,Object Segmentation,Object Tracking,
Biography
Antoni B. Chan (Senior Member, IEEE) received the BS and MEng degrees in electrical engineering from Cornell University, Ithaca, NY, USA, in 2000 and 2001, respectively, and the PhD degree in electrical and computer engineering from the University of California San Diego (UCSD), San Diego, in 2008. He is currently a professor with the Department of Computer Science, City University of Hong Kong. His research interests include computer vision, machine learning, pattern recognition, and music analysis.