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Stable Diffusion
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Syllabus: IntroductionIssues with standard diffusion modelsVisualizing the issue with dataMethod - Reconstruction LossMethod - Adversarial LossMethod - ConditioningExperimentsImage Generation with Unconditional Latent DiffusionSuper-Resolution with Laten…
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Integrating Close-Range 3D Computer Vision

Syllabus: Integrating Close-Range 3D Computer Vision and Synthetic Aperture Radar Satellite Remote Sensing TUB Computer Vision & Remote Sensing Research Group Medical Image Processing Projects 3D-Reconstruction Tool Chain Discovering How Images Cover Obj…
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Regularization of Big Neural Networks

Syllabus: Intro Big Neural Nets Big Models Over-Fitting Training with DropOut DropOut/Connect Intuition Theoretical Analysis of DropConnect MNIST Results Varying Size of Network Varying Fraction Dropped Comparison of Convergence Rates Limitations of Drop…
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Recent Advances in Online Object Tracking

Syllabus: Intro Yosemite National Park Lake Tahoe Lake Mono and Parker Lake Tracking Approaches Related Work Sparsity-based Classifier Training Data Discriminative Model: Summary Occlusion Handling New Histogram Collaborative Model Qualitative Evaluation…
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Matlab Tutorial Video

Syllabus: Intro MATLAB Editor Variables Vector Index Vector Addition Vector Operations Inner Product Matrix Transpose Inverse Matrix Operations Image Operations Reading Images Threshold Histogram Uniform Filter Median Filter Derivatives F Spatial For Loo…
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Taskonomy: Disentangling Task Transfer Learning

Syllabus: Transfer Modeling Higher Order Transfers Normalization Computing Global Taxonomy Experiments Sanity of trained Task Specific Networks Evaluation of Computed Taxonomies Generalization to novel tasks Significance Test of the Structure Evaluation…
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Multi-Agent Diverse Generative Adversarial Networks

Syllabus: Outline Overview Distributions Can Models Mode Collapse Objectives Weights Similarity based competing objective Algorithm Generator Identification Experiments
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Understanding Deep Learning Requires Rethinking Generalization

Syllabus: Intro Presentation Outline Universal Approximation Theorem L2 Regularization - "Weight Decay" Dropout Data Augmentation Rondomization Tests Results of Randomization Tests Conclusions & Impications Explicit Regularization Tests Implicit Regulari…
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VEEGAN: Reducing Mode Collapse in GANs Using Implicit Variational Learning

Syllabus: What are Generative Adversarial Networks What is mode collapse How does VEEGAN address mode collapse? How the reconstructor works Approximately invert the generator Gyl Reconstructor Network Objective Function Results for the Synthetic datasets…
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Pixel Recurrent Neural Networks

Syllabus: Intro Outline Three image generation approaches are dominating the field Typical Architecture Kernel mask Masks RNN Review RNN for Image Generation LSTM Equations Input-to-State Component Finished State-to-State Component Combine State Componen…
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Deep Reinforcement Learning for Object Tracking

Syllabus: Intro Different types of learning Deep learning in a nutshell Reinforcement learning in a nutshell Policy Value function A value function is a prediction of future reward Approaches To Reinforcement Learning Motivation Action-driven object trac…
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Syllabus: Intro Motivation pix2pix Baseline Improving Photorealism and Resolution: Coarse to Fine Genera Improving Photorealism and Resolution: Multi-Scale Discriminators Using Instance Maps Learning an Instance Level Feature Embedding Results: Quantitat…
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Global Data Association for Multiple Pedestrian Tracking

Syllabus: Intro Challenges Multi-target Tracking: Applications Outline Data Association GMCP Tracker: Pipeline How to solve GMCP? Process of Finding Tracklets in one Segment Parking Lot Results Evaluation Metrics Limitations What are the main differences…
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Human Detection, Tracking and Segmentation in Surveillance Video

Syllabus: Motivation Video Surveillance Tasks Outline Problems Initial Detection Training and Classification Iteratively Learning Superpixel Segmentation Bag-of-Words Qualitative Results From Detection to Tracking Part-based Model in Tracking Features an…
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Action Recognition in Temporarily Untrimmed Videos

Syllabus: Intro THUMOS 2014 Outline Action Recognition in Temporally Untrimmed Videos Action Recognition Video Datasets What about TRECVID? Statistics of the Data Partitions Video Resolution (Spatial & Temporal) THUMOS Test Video Set Validation Data Coll…
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