Search Results for author: Michael Donoser

Found 8 papers, 2 papers with code

iEdit: Localised Text-guided Image Editing with Weak Supervision

no code implementations10 May 2023 Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani

We propose a novel learning method for text-guided image editing, namely \texttt{iEdit}, that generates images conditioned on a source image and a textual edit prompt.

Contrastive Learning Descriptive +1

Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

1 code implementation CVPR 2021 Amaia Salvador, Erhan Gundogdu, Loris Bazzani, Michael Donoser

Cross-modal recipe retrieval has recently gained substantial attention due to the importance of food in people's lives, as well as the availability of vast amounts of digital cooking recipes and food images to train machine learning models.

Cross-Modal Retrieval Retrieval +1

Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval

1 code implementation ICCV 2021 Yuxin Hou, Eleonora Vig, Michael Donoser, Loris Bazzani

Interactive retrieval for online fashion shopping provides the ability of changing image retrieval results according to the user feedback.

Attribute Disentanglement +2

Discriminative Feature-to-Point Matching in Image-Based Localization

no code implementations CVPR 2014 Michael Donoser, Dieter Schmalstieg

The prevalent approach to image-based localization is matching interest points detected in the query image to a sparse 3D point cloud representing the known world.

Image-Based Localization

Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation

no code implementations CVPR 2014 Michael Donoser, Dieter Schmalstieg

The state-of-the-art in image segmentation builds hierarchical segmentation structures based on analyzing local feature cues in spectral settings.

Image Segmentation Segmentation +1

Diffusion Processes for Retrieval Revisited

no code implementations CVPR 2013 Michael Donoser, Horst Bischof

In this paper we revisit diffusion processes on affinity graphs for capturing the intrinsic manifold structure defined by pairwise affinity matrices.

Retrieval

Optimizing 1-Nearest Prototype Classifiers

no code implementations CVPR 2013 Paul Wohlhart, Martin Kostinger, Michael Donoser, Peter M. Roth, Horst Bischof

The development of complex, powerful classifiers and their constant improvement have contributed much to the progress in many fields of computer vision.

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