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Kenan Emir Ak
Also published under:Kenan E. Ak, Kenan Ak
Affiliation
Department of Visual Intelligence, Institute for Infocomm Research, A*STAR, Singapore
Topic
Attention Mechanism,Attention Module,Convolutional Neural Network,Deep Learning,Generative Adversarial Networks,Image Captioning,Image Encoder,Input Image,Textual Descriptions,Textual Features,Validation Set,2D Motion,AI Models,Ablation Model,Adverbs,Aggregation Layer,Arbitrary Objects,Artificial Objects,Attention Layer,Attention Map,Attention Network,Bidirectional Encoder Representations,Camera Movement,Catastrophic Forgetting,Challenge Phase,Computer Vision,Consecutive Frames,Consistency Loss,Continuous-time,Control Signal,Control Video,Cross-entropy Loss,Data Augmentation,Deep Learning Tasks,Different Types Of Relationships,Discriminator Network,Diverse Categories,Diverse Interests,Domain Adaptation,Downsampling Layer,Dual Attention,Efficient Feature Fusion,Encoder-decoder Structure,Evaluation Dataset,External Memory,Fashion Items,Feature Fusion,Fine-tuned,Fine-tuning Stage,Future Frames,
Biography
Kenan Emir Ak received the Ph.D. degree in electrical and computer engineering from the National University of Singapore, in 2020. He is a Research Scientist with The Visual Intelligence lab of the Institute for Infocomm Research, A*STAR, Singapore. Prior to joining A*STAR, he was with the Adobe Deep Learning research team in California. His research interests include machine learning, computer vision, and image processing.