Michael Tschannen

Orcid: 0000-0002-8773-0641

According to our database1, Michael Tschannen authored at least 53 papers between 2012 and 2024.

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Bibliography

2024
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.
CoRR, 2024

2023
GIVT: Generative Infinite-Vocabulary Transformers.
CoRR, 2023

Finite Scalar Quantization: VQ-VAE Made Simple.
CoRR, 2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.
CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.
CoRR, 2023

Image Captioners Are Scalable Vision Learners Too.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


M2T: Masking Transformers Twice for Faster Decoding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIPPO: Image-and-Language Understanding from Pixels Only.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlexiViT: One Model for All Patch Sizes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Image-and-Language Understanding from Pixels Only.
CoRR, 2022

Neural Face Video Compression using Multiple Views.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Representation learning from videos in-the-wild: An object-centric approach.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On Robustness and Transferability of Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
High-Fidelity Generative Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Automatic Shortcut Removal for Self-Supervised Representation Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Weakly-Supervised Disentanglement Without Compromises.
Proceedings of the 37th International Conference on Machine Learning, 2020

On Mutual Information Maximization for Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Disentangling Factors of Variations Using Few Labels.
Proceedings of the 8th International Conference on Learning Representations, 2020

Self-Supervised Learning of Video-Induced Visual Invariances.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Better Lossless Compression Using Lossy Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unsupervised learning: model-based clustering and learned compression.
PhD thesis, 2019

Semantic Bottleneck Scene Generation.
CoRR, 2019

The Visual Task Adaptation Benchmark.
CoRR, 2019

Disentangling Factors of Variation Using Few Labels.
CoRR, 2019

High-Fidelity Image Generation With Fewer Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial Networks for Extreme Learned Image Compression.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Practical Full Resolution Learned Lossless Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Noisy Subspace Clustering via Matching Pursuits.
IEEE Trans. Inf. Theory, 2018

Recent Advances in Autoencoder-Based Representation Learning.
CoRR, 2018

Deep Generative Models for Distribution-Preserving Lossy Compression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

StrassenNets: Deep Learning with a Multiplication Budget.
Proceedings of the 35th International Conference on Machine Learning, 2018

Born-Again Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Image Understanding from Deep Compression Without Decoding.
Proceedings of the 6th International Conference on Learning Representations, 2018

Conditional Probability Models for Deep Image Compression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Extreme Learned Image Compression with GANs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
CoRR, 2017

Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep structured features for semantic segmentation.
Proceedings of the 25th European Signal Processing Conference, 2017

Convolutional Recurrent Neural Networks for Electrocardiogram Classification.
Proceedings of the Computing in Cardiology, 2017

A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Regression forest-based automatic estimation of the articular margin plane for shoulder prosthesis planning.
Medical Image Anal., 2016

Robust nonparametric nearest neighbor random process clustering.
CoRR, 2016

Pursuits in Structured Non-Convex Matrix Factorizations.
CoRR, 2016

Discrete Deep Feature Extraction: A Theory and New Architectures.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Heart Sound Classification Using Deep Structured Features.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Dimensionality-reduced subspace clustering.
CoRR, 2015

Nonparametric nearest neighbor random process clustering.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Subspace clustering of dimensionality-reduced data.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
SecureSafe: a highly secure online data safe industrial use case.
Proceedings of the First Workshop on Measurement, Privacy, and Mobility, 2012

Single Marker Localization for Automatic Patient Registration in Interventional Radiology.
Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012


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