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Related lectures (32)

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Visual Intelligence: Projects and Challenges

Explores projects and challenges in visual intelligence, including hands-on learning and analysis of vision methods.

Machine Learning for Feature Extraction

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Internship Report: Hangqian Li

Covers an internship report at Tencent Al lab, focusing on 3D avatar reconstruction and neural rendering techniques.

Depth Perception: Monocular and Binocular Cues

Covers depth perception, focusing on monocular and binocular cues, including motion parallax and stereoscopic vision.

Thermal Comfort Monitoring: Non-Intrusive Solutions

Presents a framework for non-intrusive thermal comfort monitoring using computer vision and machine learning techniques.

Visual Intelligence: Machines and Minds

Explores visual intelligence, covering image formation, perception, computer vision, correspondence learning, motion analysis, and recognition in videos.

Robust Vision: Data Augmentation and Ensembling Techniques

Explores data augmentation and ensembling techniques for robust vision, comparing ViT and ResNet models.

Computer Vision: Recap

Recaps key concepts in computer vision, challenges, opportunities, and upcoming exam details.

Social Media Images: Understanding Food Perception with Deep Learning

Explores deep learning with Instagram images, understanding food perception, obesity, and mental health, and discusses the impact of social media images and ephemeral platforms like Snapchat.

Transformers in Vision: Applications and Architectures

Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.