Titlebook: Computer Vision – ECCV 2016; 14th European Confer Bastian Leibe,Jiri Matas,Max Welling Conference proceedings 2016 Springer International P

fastness

iodides

DAVE: A Unified Framework for Fast Vehicle Detection and Annotationchieve efficient vehicle detection and annotation for real-world traffic surveillance data. We evaluate DAVE on a new self-collected UTS dataset and the public PASCAL VOC2007 car and LISA 2010 datasets, with consistent improvements over existing algorithms.

Licentious

fallible

Modeling Context in Referring Expressionshe language generation process together, so that we generate expressions for all objects of a particular category jointly. Evaluation on three recent datasets - RefCOCO, RefCOCO+, and RefCOCOg (Datasets and toolbox can be downloaded from .), shows the advantages of our methods for both referring expression generation and comprehension.

carotid-bruit

品尝你的人

LUDE

Seminar

凶残

新陈代谢

https://doi.org/10.1057/978-1-137-46839-0sed of hazy images and corresponding transmission maps based on the NYU Depth dataset. Extensive experiments demonstrate that the proposed algorithm performs favorably against the state-of-the-art methods on both synthetic and real-world images in terms of quality and speed.