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Related lectures (32)
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Concept-Based Image Systems
Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.
Computer Vision: Image Formation and Transformation
Provides an overview of image formation and transformation principles in computer vision.
PyTorch and Convolutional Networks
Covers PyTorch tensor data structure and training a CNN to classify images.
Internship Report: Hangqian Li
Covers an internship report at Tencent Al lab, focusing on 3D avatar reconstruction and neural rendering techniques.
Visual Prostheses: History and Intracortical Stimulation
Explores the history and challenges of visual prostheses, focusing on intracortical microstimulation for artificial vision.
Deep Visual Recognition: Interpretability
Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.
Visual Recognition: Integrated 3D + Semantics
Covers visual recognition models, scene graphs, neural networks, and embodied vision.
Visual Intelligence: Projects and Challenges
Explores projects and challenges in visual intelligence, including hands-on learning and analysis of vision methods.
Transformers in Vision
Explores the application of transformers in vision tasks, focusing on ViTs and innovative transformer architectures for structured inputs and outputs.
Transformers in Vision: Applications and Architectures
Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.
