Social Image Systems: Past, Present, and Research Insights

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Visual Intelligence: Machines and Minds

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Deep Learning: Exploring Vision and Language Transformers

Covers advanced transformer architectures in deep learning, focusing on Swin, HUBERT, and Flamingo models for multimodal applications.

Visual Intelligence and Learning: Insights and Applications

Explores visual intelligence, robotics perception, and multi-task learning techniques in computer vision.

Transformers: Unifying Machine Learning Communities

Covers the role of Transformers in unifying various machine learning fields.

Transformers in Vision

Explores the application of transformers in vision tasks, focusing on ViTs and innovative transformer architectures for structured inputs and outputs.

Generative Adversarial Networks: Data Synthesis Techniques

Discusses Generative Adversarial Networks and their applications in synthesizing data and generating images.

Deep Visual Recognition: Interpretability

Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.

Computer Vision: History Recap & Logistics

Provides an overview of computer vision history and logistics, focusing on neural networks and logical reasoning.

Vision-Based Quadrotor Navigation

Discusses quadrotor navigation using deep reinforcement learning and low-level control, focusing on visual intelligence and gaze model robustness.