EMOTIC: Emotions in Context Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR Workshops, 2017)

Emotion Recognition in Context. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR, 2017)

Recognizing Characters in Art History Using Deep Learning. - Prathmesh Madhu; Ronak Kosti; Lara Mührenberg; Peter Bell 007; Andreas K. Maier; Vincent Christlein (SUMAC @ ACM Multimedia, 2019)

Visual scene context in emotion perception. - Ronak Kosti (2019)

Deep Learning based Attribute Representation in Ancient Vase Paintings. - Prathmesh Madhu; Ronak Kosti; Torsten Bendschus; Corinna Reinhardt; Vincent Christlein; Andreas K. Maier; Peter Bell 007 (DH, 2020)

Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors - Towards Scene Understanding in Digital Art History. - Prathmesh Madhu; Tilman Marquart; Ronak Kosti; Peter Bell 007; Andreas K. Maier; Vincent Christlein (ECCV Workshops (2), 2020)

SUMAC 2020: The 2nd Workshop on Structuring and Understanding of Multimedia heritAge Contents. - Valérie Gouet-Brunet; Margarita Khokhlova; Ronak Kosti; Liming Chen 002; Xu-Cheng Yin (ACM Multimedia, 2020)

Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors. - Prathmesh Madhu; Tilman Marquart; Ronak Kosti; Peter Bell 007; Andreas K. Maier; Vincent Christlein (CoRR, 2020)

Context Based Emotion Recognition Using EMOTIC Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

SUMAC'21: 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents. - Valérie Gouet-Brunet; Margarita Khokhlova; Ronak Kosti; Li Weng (ACM Multimedia, 2021)

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (CoRR, 2021)

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (IEEE Trans. Medical Imaging, 2021)

Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Ronak Kosti; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Supervised Contrastive Learning for Robust and Efficient Multi-modal Emotion and Sentiment Analysis. - Ahmed Gomaa; Andreas K. Maier; Ronak Kosti (ICPR, 2022)

ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. - Mathias Zinnen; Prathmesh Madhu; Ronak Kosti; Peter Bell 007; Andreas K. Maier; Vincent Christlein (ICPR, 2022)

One-Shot Object Detection in Heterogeneous Artwork Datasets. - Prathmesh Madhu; Anna Meyer; Mathias Zinnen; Lara Mührenberg; Dirk Suckow; Torsten Bendschus; Corinna Reinhardt; Peter Bell 007; Ute Verstegen; Ronak Kosti; Andreas Maier 001; Vincent Christlein (IPTA, 2022)

ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings. - Alexander Schmidt; Prathmesh Madhu; Andreas Maier 001; Vincent Christlein; Ronak Kosti (IPTA, 2022)

SUMAC '22: 4th ACM International workshop on Structuring and Understanding of Multimedia heritAge Contents. - Valérie Gouet-Brunet; Ronak Kosti; Li Weng (ACM Multimedia, 2022)

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Mareike Thies; Zhaoya Pan; Fabian Wagner; Mirabela Rusu; Andreas K. Maier; Ronak Kosti (CoRR, 2022)

ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas. - Prathmesh Madhu; Tilman Marquart; Ronak Kosti; Dirk Suckow; Peter Bell 007; Andreas K. Maier; Vincent Christlein (CoRR, 2022)

SUMAC '23: 5th Workshop on the analySis, Understanding and proMotion of heritAge Contents: Advances in Machine Learning, Signal Processing, Multimodal Techniques and Human-machine Interaction. - Valérie Gouet-Brunet; Ronak Kosti; Li Weng (ACM Multimedia, 2023)

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning. - Prathmesh Madhu; Angel Villar-Corrales; Ronak Kosti; Torsten Bendschus; Corinna Reinhardt; Peter Bell 007; Andreas K. Maier; Vincent Christlein (ACM Journal on Computing and Cultural Heritage, 2023)

ICC++: Explainable feature learning for art history using image compositions. - Prathmesh Madhu; Tilman Marquart; Ronak Kosti; Dirk Suckow; Peter Bell 007; Andreas K. Maier; Vincent Christlein (Pattern Recognit., 2023)

Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. - Mingxuan Gu; Mareike Thies; Siyuan Mei; Fabian Wagner; Mingcheng Fan; Yipeng Sun; Zhaoya Pan; Sulaiman Vesal; Ronak Kosti; Dennis Possart; Jonas Utz; Andreas K. Maier (MICCAI (9), 2024)

SUMAC '24: 6th workshop on the analySis, Understanding and proMotion of heritAge Contents: Advances in Machine Learning, Signal Processing, Multimodal Techniques and Human-machine. - Valérie Gouet-Brunet; Ronak Kosti; Li Weng (SUMAC@ ACM Multimedia, 2024)