Maksim Lapin

According to our database, Maksim Lapin authored at least 12 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stable Video-Driven Portraits.

Mallikarjun B. R., Fei Yin, Vikram Voleti, Nikita Drobyshev, Maksim Lapin, Aaryaman Vasishta, Varun Jampani

CoRR, September, 2025

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation.

Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2022

Contrastive Language-Action Pre-training for Temporal Localization.

Mengmeng Xu, Erhan Gundogdu, Maksim Lapin, Bernard Ghanem, Michael Donoser, Loris Bazzani

CoRR, 2022

2018

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification.

Maksim Lapin, Matthias Hein, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Image classification with limited training data and class ambiguity.

Maksim Lapin

PhD thesis, 2017

2016

Loss Functions for Top-k Error: Analysis and Insights.

Maksim Lapin, Matthias Hein, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Top-k Multiclass SVM.

Maksim Lapin, Matthias Hein, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Output Kernel Learning for Multiple Tasks.

Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Learning using privileged information: SV M+ and weighted SVM.

Maksim Lapin, Matthias Hein, Bernt Schiele

Neural Networks, 2014

Scalable Multitask Representation Learning for Scene Classification.

Maksim Lapin, Bernt Schiele, Matthias Hein

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Learning Using Privileged Information: SVM+ and Weighted SVM.

Maksim Lapin, Matthias Hein, Bernt Schiele

CoRR, 2013

2011

SHAVE: stochastic hybrid analysis of markov population models.

Maksim Lapin, Linar Mikeev, Verena Wolf

Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, 2011