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Related lectures (32)
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Internship Report: Hangqian Li
Covers an internship report at Tencent Al lab, focusing on 3D avatar reconstruction and neural rendering techniques.
Thermal Comfort Monitoring: Non-Intrusive Solutions
Presents a framework for non-intrusive thermal comfort monitoring using computer vision and machine learning techniques.
Fine-Grained Visual Categorization: Challenges and Solutions
Explores challenges and solutions in fine-grained visual categorization, focusing on computer vision and machine learning.
Grant Writing: Conclusion
Covers the final steps of the grant proposal process and emphasizes the importance of following guidelines and using a persuasive writing style.
Geometric Stereo: Depth Recovery Techniques
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Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.
Shape from Stereo-1
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Explores geometric stereo, epipolar geometry, correlation methods, occlusions, and real-time implementation challenges in stereo vision systems.
Shape From Stereo-2
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Explores stereo vision concepts such as occlusions, window size impact, multi-view stereo, dynamic shape reconstruction, and graph-based segmentation.
Synthetic Training Data via Generative Models
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Explores the benefits of synthetic data in computer vision through generative models mimicking real images with low sim2real gap.
Course Project Choice
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Introduces the course project for CS-503, emphasizing the importance of project selection related to vision and perceptual agents.
Delineation: Techniques and Dynamics
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Explores techniques for delineating objects in images, including dynamic programming and live wire methods.
Visual Intelligence: Machines and Minds
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Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.
Shape from Shading: Recovering 3D Information from 2D Images
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Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
Edge Detection: Deep Learning Insights
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Explores the evolution of edge detection techniques, from Canny to deep learning insights.
Shape from Contours
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Explores shape reconstruction from contours using edge-based stereo matching and visual hull techniques for accurate 3D reconstruction.
Visual Intelligence: Projects and Challenges
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Explores projects and challenges in visual intelligence, including hands-on learning and analysis of vision methods.
Machine Learning for Feature Extraction
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Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.
Depth Perception: Monocular and Binocular Cues
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Covers depth perception, focusing on monocular and binocular cues, including motion parallax and stereoscopic vision.
Visual Intelligence: Machines and Minds
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Explores visual intelligence, covering image formation, perception, computer vision, correspondence learning, motion analysis, and recognition in videos.
Robust Vision: Data Augmentation and Ensembling Techniques
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Explores data augmentation and ensembling techniques for robust vision, comparing ViT and ResNet models.
Computer Vision: Recap
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Recaps key concepts in computer vision, challenges, opportunities, and upcoming exam details.
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