1.9k citations
- Robert Bosch (United States)US15 papers
- Harvard UniversityUS4 papers
- Carnegie Mellon UniversityUS3 papers
- The University of Texas at AustinUS3 papers
- University of MichiganUS3 papers
- Argonne National LaboratoryUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Robert Bosch (Germany)DE2 papers
- Tech-X Corporation (United States)US2 papers
- University of California, Los AngelesUS2 papers
- University of ChicagoUS2 papers
Showing cs.SDShow all
3 papers · 1 filter
cs.SD2018★ 10 cited
A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling
Yun Wang, Juncheng Li, Florian Metze
Sound event detection (SED) entails two subtasks: recognizing what types of sound events are present in an audio stream (audio tagging), and pinpointing their onset and offset time…
cs.SD2018★ 1 cited
Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks
Yun Wang, Juncheng Li, Florian Metze
Many sequence learning tasks require the localization of certain events in sequences. Because it can be expensive to obtain strong labeling that specifies the starting and ending t…
cs.SD2017
A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging
Juncheng Li, Yun Wang, Joseph Szurley +2
The lack of strong labels has severely limited the state-of-the-art fully supervised audio tagging systems to be scaled to larger dataset. Meanwhile, audio-visual learning models b…