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01/12/2023
Learning to Summarize Videos by Contrasting Clips
Video summarization aims at choosing parts of a video that narrate a sto...
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10/09/2022
LieGG: Studying Learned Lie Group Generators
Symmetries built into a neural network have appeared to be very benefici...
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05/31/2022
Contrasting quadratic assignments for set-based representation learning
The standard approach to contrastive learning is to maximize the agreeme...
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11/18/2021
Wiggling Weights to Improve the Robustness of Classifiers
Robustness against unwanted perturbations is an important aspect of depl...
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10/31/2021
PIE: Pseudo-Invertible Encoder
We consider the problem of information compression from high dimensional...
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08/11/2021
Two is a crowd: tracking relations in videos
Tracking multiple objects individually differs from tracking groups of r...
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07/20/2021
Built-in Elastic Transformations for Improved Robustness
We focus on building robustness in the convolutions of neural visual cla...
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06/04/2021
DISCO: accurate Discrete Scale Convolutions
Scale is often seen as a given, disturbing factor in many vision tasks. ...
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07/17/2020
Scale Equivariance Improves Siamese Tracking
Siamese trackers turn tracking into similarity estimation between a temp...
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05/01/2019
