11 citations · 27 across the 12 of their papers we have counts for
17 papers
Neural 4D Evolution under Large Topological Changes from 2D Images
AmirHossein Naghi Razlighi, Tiago Novello, Asen Nachkov +2
In the literature, it has been shown that the evolution of the known explicit 3D surface to the target one can be learned from 2D images using the instantaneous flow field, where t…
Gradient Obfuscation Checklist Test Gives a False Sense of Security
Nikola Popovic, Danda Pani Paudel, Thomas Probst +1
One popular group of defense techniques against adversarial attacks is based on injecting stochastic noise into the network. The main source of robustness of such stochastic defens…
Spatially Multi-conditional Image Generation
Ritika Chakraborty, Nikola Popovic, Danda Pani Paudel +2
In most scenarios, conditional image generation can be thought of as an inversion of the image understanding process. Since generic image understanding involves solving multiple ta…
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
Nikola Popovic, Danda Pani Paudel, Thomas Probst +1
We introduce token-consistent stochastic layers in vision transformers, without causing any severe drop in performance. The added stochasticity improves network calibration, robust…
Rethinking Global Context in Crowd Counting
Guolei Sun, Yun Liu, Thomas Probst +3
This paper investigates the role of global context for crowd counting. Specifically, a pure transformer is used to extract features with global information from overlapping image p…
Open-Ended Automatic Programming Through Combinatorial Evolution
Sebastian Fix, Thomas Probst, Oliver Ruggli +2
Combinatorial evolution - the creation of new things through the combination of existing things - can be a powerful way to evolve rather than design technical objects such as elect…