79 citations · 608 across the 98 of their papers we have counts for
9 papers · 2 filters
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
Robin Ruede, Verena Heusser, Lukas Frank +3
A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim t…
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer +1
The lack of fine-grained annotations hinders the deployment of automated diagnosis systems, which require human-interpretable justification for their decision process. In this pape…
Unsupervised Domain Adaptation by Uncertain Feature Alignment
Tobias Ringwald, Rainer Stiefelhagen
Unsupervised domain adaptation (UDA) deals with the adaptation of models from a given source domain with labeled data to an unlabeled target domain. In this paper, we utilize the i…
Anchor-free Small-scale Multispectral Pedestrian Detection
Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz +1
Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR) image pairs are well-suited for practical applications like autonomous driving or visual s…
ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Ensuring the safety of all traffic participants is a prerequisite for bringing intelligent vehicles closer to practical applications. The assistance system should not only achieve…
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?
Wei Mao, Jiaming Zhang, Kailun Yang +1
Navigational perception for visually impaired people has been substantially promoted by both classic and deep learning based segmentation methods. In classic visual recognition met…
Detective: An Attentive Recurrent Model for Sparse Object Detection
Amine Kechaou, Manuel Martinez, Monica Haurilet +1
In this work, we present Detective - an attentive object detector that identifies objects in images in a sequential manner. Our network is based on an encoder-decoder architecture,…
Deep Multimodal Feature Encoding for Video Ordering
Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen
True understanding of videos comes from a joint analysis of all its modalities: the video frames, the audio track, and any accompanying text such as closed captions. We present a w…
Clustering based Contrastive Learning for Improving Face Representations
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz +1
A good clustering algorithm can discover natural groupings in data. These groupings, if used wisely, provide a form of weak supervision for learning representations. In this work,…