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Alexander C. Berg
Also published under:Alexander Berg, Alex Berg, A. C. Berg
Affiliation
Facebook AI Research (FAIR)
Topic
Computer Vision,Instance Segmentation,Semantic Segmentation,2D Object,3D Orientation,3D Prediction,Adversarial Training,Autoencoder,Average Precision,Black Box,Bounding Box,CAD Model,Computer Vision System,Contrast Features,Convolutional Layers,Decagon,Differencing,Domain Adaptation,Feature Maps,Generative Adversarial Networks,Ground Truth Annotations,Ground Truth Object,Ground Truth Pose,Ground-truth Box,Image Pairs,Image Segmentation,Image Synthesis,Input Image,Intersection Over Union,Large Objects,Localization Error,Mask R-CNN,Nearest Neighbor Graph,Noise Vector,Object Detection,Object Location,Object Pose,Object Size,Pair Of Points,Pixel Accuracy,Pixel Distance,Pose Estimation,Pre-training Method,Precision And Recall,Progress In Methods,Realistic Model,Regional Grid,Robot Manipulator,Salient Regions,Scale Error,
Biography
Alexander C. Berg received the PhD degree in computer science from the University of California Berkeley in 2005. He is currently an assistant professor at Stony Brook University. Prior to that, he was a research scientist at Yahoo! Research and later Columbia University. His research addresses challenges in visual recognition at all levels, from image features to high-level semantics, with a focus on large-scale vision problems and efficient computational solutions. He is a member of the IEEE.