Feature Pyramid Networks for Object Detection
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors...
Publications
5 shownUsing k-Poselets for Detecting People and Localizing Their Keypoints
A k-poselet is a deformable part model (DPM) with k parts, where each of the parts is a poselet, aligned to a specific configuration of keypoints based on ground-truth annotatio...
Semantic contours from inverse detectors
Westudythechallengingproblemoflocalizingandclassifying category-specific object contours in real world images. For this purpose, we present a simple yet effective methodforcombi...
Hypercolumns for object segmentation and fine-grained localization
Recognition algorithms based on convolutional networks (CNNs) typically use the output of the last layer as a feature representation. However, the information in this layer may ...
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 31,381
- Institution
- Meta (Israel)
External Links
Identifiers
- ORCID
- 0000-0002-2309-4703
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.