145 citations · 303 across the 28 of their papers we have counts for
11 papers · 1 filter
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning
Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
Humans are able to identify and categorize novel compositions of known concepts. The task in Compositional Zero-Shot learning (CZSL) is to learn composition of primitive concepts,…
Compositional Learning of Image-Text Query for Image Retrieval
Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
In this paper, we investigate the problem of retrieving images from a database based on a multi-modal (image-text) query. Specifically, the query text prompts some modification in…
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
Xian Wei, Hao Shen, Martin Kleinsteuber
This work studies the problem of learning appropriate low dimensional image representations. We propose a generic algorithmic framework, which leverages two classic representation…
Model-based learning of local image features for unsupervised texture segmentation
Martin Kiechle, Martin Storath, Andreas Weinmann +1
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or d…
Alignment Distances on Systems of Bags
Alexander Sagel, Martin Kleinsteuber
Recent research in image and video recognition indicates that many visual processes can be thought of as being generated by a time-varying generative model. A nearby descriptive mo…
A Bimodal Co-Sparse Analysis Model for Image Processing
Martin Kiechle, Tim Habigt, Simon Hawe +1
The success of many computer vision tasks lies in the ability to exploit the interdependency between different image modalities such as intensity and depth. Fusing corresponding in…