Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Aykut Erdem
Affiliation
Dept. Comp. Eng., Koç University, Istanbul, Türkiye
Topic
Batch Normalization,Convolutional Layers,Convolutional Neural Network,Dynamic Vision Sensor,Event Stream,Feature Maps,Fusion Strategy,High Dynamic Range,Image Intensity,Image Quality,Image Reconstruction,Inference Time,Input Image,Low-level Features,Neural Network,Optical Flow,Quantitative Metrics,Reconstruction Quality,Saliency Map,Spatial Information,Video Content,Video Frames,Video Reconstruction,Adaptive Filter,Adjacent Bands,Advantages Of Deep Learning,Adversarial Approach,Adversarial Training,Affine Transformation,Attention Block,Attention Mechanism,Bicubic,Blind Spot,Bottom-up Processes,Brightness Changes,Camera Calibration,Challenging Scenarios,Changes In Appearance,Channel-wise Attention,Clean Data,Clean Version,Clear Image,Color Information,Color Word,Computer Vision,Consistency Loss,Content Coding,Convolution,Convolution Kernel,Decoder Block,
Biography
Aykut Erdem received the BS and MS degrees from the Middle East Technical University in 2001 and 2003, respectively. He is a PhD candidate in the Computer Engineering Department at the Middle East Technical University, under the supervision of Sibel Tari. His research interest is in shape representation and retrieval from shape databases.