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Concept

Computer vision

Related lectures (32)

Fine-Grained Visual Categorization: Challenges and Solutions

Explores challenges and solutions in fine-grained visual categorization, focusing on computer vision and machine learning.

Image Recognition: Datasets and Algorithms

Explores a 2019 paper on image recognition, dataset challenges, biases, and the impact of large-scale datasets on deep learning models.

Evaluating Machine Accuracy and Robustness on ImageNet

Explores the evaluation of machine and human accuracy and robustness on ImageNet, highlighting progress, challenges, and the need for improvement.

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.

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.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

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

Synthetic Training Data via Generative Models Log in to Mediaspace to watch this video

Explores the benefits of synthetic data in computer vision through generative models mimicking real images with low sim2real gap.

Computer Vision: Historical Insights and Project Inspirations Log in to Mediaspace to watch this video

Explores the historical development of computer vision and inspires innovative project ideas.

Image Classification: Decision Trees & Random Forests Log in to Mediaspace to watch this video

Explores image classification using decision trees and random forests to reduce variance and improve model robustness.

Visual Intelligence: Embodied AI Log in to Mediaspace to watch this video

Explores computer vision in embodied AI, covering object navigation and video generation from single images, with a focus on robustness and precision.

Transformers in Vision Log in to Mediaspace to watch this video

Explores the evolution of visual intelligence models, focusing on Transformers and their applications in computer vision and natural language processing.

Image Processing I Log in to Mediaspace to watch this video

Covers the basics of image processing and its applications in various fields.

Transformers in Vision Log in to Mediaspace to watch this video

Explores Transformers in computer vision, focusing on 'Attention Is All You Need' architecture and its applications in visual tasks.

Robust Vision: Data Augmentation and Ensembling Techniques Log in to Mediaspace to watch this video

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

Social Image Systems: From Past to Present Log in to Mediaspace to watch this video

Explores the evolution of social image systems, deep learning models, selfies, and biometrics in online platforms.

Course Project Choice Log in to Mediaspace to watch this video

Introduces the course project for CS-503, emphasizing the importance of project selection related to vision and perceptual agents.

Delineation: Techniques and Dynamics Log in to Mediaspace to watch this video

Explores techniques for delineating objects in images, including dynamic programming and live wire methods.

Computer Vision: Fundamentals and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.