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Michael Dorkenwald

7 accepted papers

2025

Elastic ViTs from Pretrained Models without Retraining

NeurIPS 2025poster

Vision foundation models achieve remarkable performance but are only available in a limited set of pre-determined sizes, forcing sub-optimal deployment choices under real-world constraints. We introduce SnapViT: single-shot network approximation for pruned Vision Transformers, a new post-pretraining…

Cited by 0SourceScholar
2024

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs

CVPR 2024poster

Vision-Language Models (VLMs) such as Flamingo and GPT-4V have shown immense potential by integrating large language models with vision systems. Nevertheless these models face challenges in the fundamental computer vision task of object localisation due to their training on multimodal data containin…

Cited by 13SourcePDFScholar
2021

Stochastic Image-to-Video Synthesis Using cINNs

CVPR 2021poster

Video understanding calls for a model to learn the characteristic interplay between static scene content and its dynamics: Given an image, the model must be able to predict a future progression of the portrayed scene and, conversely, a video should be explained in terms of its static image content a…

Cited by 67PDFcodeScholar
2021

Understanding Object Dynamics for Interactive Image-to-Video Synthesis

CVPR 2021poster

What would be the effect of locally poking a static scene? We present an approach that learns naturally-looking global articulations caused by a local manipulation at a pixel level. Training requires only videos of moving objects but no information of the underlying manipulation of the physical scen…

Cited by 42PDFScholar
2021

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

ICCV 2021poster

How would a static scene react to a local poke? What are the effects on other parts of an object if you could locally push it? There will be distinctive movement, despite evident variations caused by the stochastic nature of our world. These outcomes are governed by the characteristic kinematics of…

Cited by 39PDFScholar