733 citations
- Cornell UniversityUS156 papers
- Jacobs InstituteUS11 papers
- Carnegie Mellon UniversityUS9 papers
- Google (United States)US9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Stanford UniversityUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- University of WashingtonUS6 papers
- University of California, BerkeleyUS5 papers
- University of PennsylvaniaUS5 papers
- Weill Cornell MedicineUS5 papers
Showing 2015 · cs.CVShow all
3 papers · 2 filters
cs.CV2015★ 24 cited
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Yin Cui, Feng Zhou, Yuanqing Lin +1
Existing fine-grained visual categorization methods often suffer from three challenges: lack of training data, large number of fine-grained categories, and high intraclass vs. low…
cs.CV2015★ 6 cited
Learning Concept Embeddings with Combined Human-Machine Expertise
Michael J. Wilber, Iljung S. Kwak, David Kriegman +1
This paper presents our work on "SNaCK," a low-dimensional concept embedding algorithm that combines human expertise with automatic machine similarity kernels. Both parts are compl…
cs.CV2015★ 41 cited
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell +3
With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images. We would like to an…