no code implementations • 25 Feb 2024 • Alexander Schmidt, Prathmesh Madhu, Andreas Maier, Vincent Christlein, Ronak Kosti
While state-of-the-art deep neural networks show impressive results for image enhancement, they often struggle to enhance real-world images.
no code implementations • 24 Jan 2023 • Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas Maier, Vincent Christlein
The Odeuropa Challenge on Olfactory Object Recognition aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heritage.
no code implementations • 22 Jun 2022 • Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas Maier, Vincent Christlein
In this work, we present a novel approach called Image Composition Canvas (ICC++) to compare and retrieve images having similar compositional elements.
no code implementations • 8 Jun 2022 • Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas Maier, Ronak Kosti
Then, to align the source and target features and tackle the memory issue of the traditional contrastive loss, we propose the centroid-based contrastive learning (CCL) and a centroid norm regularizer (CNR) to optimize the contrastive pairs in both direction and magnitude.
1 code implementation • 28 Jan 2022 • Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas Maier
This restricts the development of UDA methods for new domains.
1 code implementation • 15 Mar 2021 • Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
The proposed method is based on adversarial learning and adapts network features between source and target domain in different spaces.
1 code implementation • 10 Dec 2020 • Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas Maier, Vincent Christlein
(2) To improve the already strong results further, we created a small dataset (ClassArch) consisting of ancient Greek vase paintings from the 6-5th century BCE with person and pose annotations.
1 code implementation • 8 Sep 2020 • Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas Maier, Vincent Christlein
These compositions are useful in analyzing the interactions in an image to study artists and their artworks.
1 code implementation • 31 Mar 2020 • Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier, Vincent Christlein
We present experiments and analysis on three different models and show that the model trained on domain related data gives the best performance for recognizing character.
3 code implementations • 30 Mar 2020 • Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza
In this paper we present EMOTIC, a dataset of images of people in a diverse set of natural situations, annotated with their apparent emotion.
Ranked #5 on Emotion Recognition in Context on EMOTIC (using extra training data)
no code implementations • CVPR 2017 • Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza
In this paper we present the Emotions in Context Database (EMCO), a dataset of images containing people in context in non-controlled environments.