23.6k citations
- University of California, BerkeleyUS242 papers
- California Institute of TechnologyUS23 papers
- Lawrence Berkeley National LaboratoryUS16 papers
- University of ChicagoUS14 papers
- UCLA HealthUS13 papers
- Moscow Institute of Thermal TechnologyRU11 papers
- University of MichiganUS11 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Google (United States)US10 papers
- Michigan Science CenterUS10 papers
- University of California, Santa CruzUS10 papers
- Cornell UniversityUS9 papers
Showing 2014 · cs.CVShow all
3 papers · 2 filters
cs.CV2014★ 38 cited
Finding Action Tubes
Georgia Gkioxari, Jitendra Malik
We address the problem of action detection in videos. Driven by the latest progress in object detection from 2D images, we build action models using rich feature hierarchies derive…
cs.CV2014★ 58 cited
Deformable Part Models are Convolutional Neural Networks
Ross Girshick, Forrest Iandola, Trevor Darrell +1
Deformable part models (DPMs) and convolutional neural networks (CNNs) are two widely used tools for visual recognition. They are typically viewed as distinct approaches: DPMs are…
cs.CV2014★ 4.3k cited
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue +5
Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The…