28 citations · 41 across the 4 of their papers we have counts for
6 papers
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi +6
Recent advances in video generation have enabled high-fidelity video synthesis from user provided prompts. However, existing models and benchmarks fail to capture the complexity an…
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin, Matthias Hein, Bernt Schiele
Top-k error is currently a popular performance measure on large scale image classification benchmarks such as ImageNet and Places. Despite its wide acceptance, our understanding of…
Loss Functions for Top-k Error: Analysis and Insights
Maksim Lapin, Matthias Hein, Bernt Schiele
In order to push the performance on realistic computer vision tasks, the number of classes in modern benchmark datasets has significantly increased in recent years. This increase i…
Top-k Multiclass SVM
Maksim Lapin, Matthias Hein, Bernt Schiele
Class ambiguity is typical in image classification problems with a large number of classes. When classes are difficult to discriminate, it makes sense to allow k guesses and evalua…
Efficient Output Kernel Learning for Multiple Tasks
Pratik Jawanpuria, Maksim Lapin, Matthias Hein +1
The paradigm of multi-task learning is that one can achieve better generalization by learning tasks jointly and thus exploiting the similarity between the tasks rather than learnin…
Learning Using Privileged Information: SVM+ and Weighted SVM
Maksim Lapin, Matthias Hein, Bernt Schiele
Prior knowledge can be used to improve predictive performance of learning algorithms or reduce the amount of data required for training. The same goal is pursued within the learnin…