361 citations
- Carnegie Mellon UniversityUS12 papers
- Stanford UniversityUS6 papers
- Google (United States)US5 papers
- University of WashingtonUS5 papers
- Amazon (United States)US4 papers
- Apple (Germany)DE4 papers
- Apple (Israel)IL4 papers
- Arizona State UniversityUS4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Jet Propulsion LaboratoryUS4 papers
- Duke UniversityUS3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
Showing 2019 · cs.CVShow all
3 papers · 2 filters
cs.CV2019★ 51 cited
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
Charan D. Prakash, Lina J. Karam
In this paper, we propose in our novel generative framework the use of Generative Adversarial Networks (GANs) to generate features that provide robustness for object detection on r…
cs.CV2019★ 8 cited
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…
cs.CV2019★ 6 cited
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li, Serafettin Tasci, Shalini Ghosh +3
Object detection models shipped with camera-equipped edge devices cannot cover the objects of interest for every user. Therefore, the incremental learning capability is a critical…