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Pyunghwan Ahn
Affiliation
LG AI Research
Topic
Convolutional Neural Network,Bilinear Interpolation,Feature Maps,Fine-tuned,Image Captioning,Input Point Cloud,Language Model,Multilayer Perceptron,Point Cloud,2D Plane,2D Point,2D Space,3D Convolution,3D Coordinates,3D Data,3D Point,3D Surface,3D Tasks,AI Models,Additional Calculations,Architecture Parameters,Back Projection,Bi-directional Training,Bilevel Optimization,CIFAR-100 Dataset,Catastrophic Forgetting,Cell Structure,Challenge Phase,Chamfer Distance,Channel Dimension,Consistency Loss,Continuous Relaxation,Convolution Module,Coordinate Descent,Coordinate Descent Algorithm,Coordinates Of Points,Data Augmentation,Decoder Architecture,Differentiable Architecture Search,Discrete Set,Diverse Categories,Domain Adaptation,Ethnic Groups,Evaluation Dataset,Evaluation Stage,Exploration Capabilities,External Memory,Feature Branch,Feature Fusion,Feature Fusion Module,
Biography
Pyunghwan Ahn received the B.S. and M.S. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2014 and 2017, respectively, where he is currently pursuing the Ph.D. degree in electrical engineering. His research interests include computer vision and 3D deep learning.