Damian Borth
Damian Borth
University of St. Gallen (HSG)
Verified email at icsi.berkeley.edu - Homepage
Cited by
Cited by
YFCC100M: The New Data in Multimedia Research
B Thomee, B Elizalde, DA Shamma, K Ni, G Friedland, D Poland, D Borth, ...
Communications of the ACM 59 (2), 64-73, 2016
Large-scale Visual Sentiment Ontology and Detectors using Adjective Noun Pairs
D Borth, R Ji, T Chen, T Breuel, SF Chang
ACM International Conference on Multimedia, 223-232, 2013
The New Data and New Challenges in Multimedia Research
B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ...
arXiv preprint arXiv:1503.01817, 2015
DeepSentibank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
T Chen, D Borth, T Darrell, SF Chang
arXiv preprint arXiv:1410.8586, 2014
The data on diversity
B Nelson
Communications of the ACM 57 (11), 86-95, 2014
Sentibank: Large-scale Ontology and Classifiers for Detecting Sentiment and Emotions in Visual Content
D Borth, T Chen, R Ji, SF Chang
Proceedings of the 21st ACM international conference on Multimedia, 459-460, 2013
Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P Helber, B Bischke, A Dengel, D Borth
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
Multi-task Learning for Segmentation of Building Footprints with Deep Neural Networks
B Bischke, P Helber, J Folz, D Borth, A Dengel
2019 IEEE International Conference on Image Processing (ICIP), 1480-1484, 2019
The multimedia satellite task at MediaEval 2018: Emergency response for flooding events
B Bischke, P Helber, Z Zhao, J De Bruijn, D Borth
2018 Working Notes Proceedings of the MediaEval Workshop, MediaEval 2018, 1-3, 2018
The Multimedia Satellite Task at Mediaeval 2017: Emergence Response for Flooding Events
B Bischke, P Helber, C Schulze, S Venkat, A Dengel, D Borth
Proc. of the MediaEval 2017 Workshop (Sept. 13-15, 2017). Dublin, Ireland, 2017
Keyframe Extraction for Video Tagging & Summarization.
D Borth, A Ulges, C Schulze, TM Breuel
Informatiktage 2008, 45-48, 2008
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
M Schreyer, T Sattarov, D Borth, A Dengel, B Reimer
arXiv preprint arXiv:1709.05254, 2017
The Placing Task: A Large-Scale GEO-Estimation Challenge for Social-Media Videos and Images
J Choi, B Thomee, G Friedland, L Cao, K Ni, D Borth, B Elizalde, ...
Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its …, 2014
Analysis and Forecasting of Trending Topics in Online Media Streams
T Althoff, D Borth, J Hees, A Dengel
Proceedings of the 21st ACM international conference on Multimedia, 907-916, 2013
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.
B Bischke, P Bhardwaj, A Gautam, P Helber, D Borth, A Dengel
MediaEval, 2017
Large-scale deep learning on the YFCC100M dataset
K Ni, R Pearce, K Boakye, B Van Essen, D Borth, B Chen, E Wang
arXiv preprint arXiv:1502.03409, 2015
Real-time Analysis and Visualization of the YFCC100M dataset
S Kalkowski, C Schulze, A Dengel, D Borth
Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining …, 2015
Linking visual concept detection with viewer demographics
A Ulges, M Koch, D Borth
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 1-8, 2012
Contextual enrichment of remote-sensed events with social media streams
B Bischke, D Borth, C Schulze, A Dengel
Proceedings of the 24th ACM international conference on Multimedia, 1077-1081, 2016
Tubetagger - Youtube-based Concept Detection
A Ulges, M Koch, D Borth, TM Breuel
Data Mining Workshops, 2009. ICDMW'09. IEEE International Conference on, 190-195, 2009
The system can't perform the operation now. Try again later.
Articles 1–20