733 citations
- Cornell UniversityUS23 papers
- Jacobs InstituteUS4 papers
- The Ohio State UniversityUS2 papers
- Cornell Lab of Ornithology1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- ETH ZurichCH1 paper
- Hong Kong University of Science and TechnologyHK1 paper
- International University of the CaribbeanJM1 paper
- Lehigh UniversityUS1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Max Planck Institute for InformaticsDE1 paper
- Menlo SchoolUS1 paper
7 papers · 1 filter
Learning Multimodal Affinities for Textual Editing in Images
Or Perel, Oron Anschel, Omri Ben-Eliezer +2
Nowadays, as cameras are rapidly adopted in our daily routine, images of documents are becoming both abundant and prevalent. Unlike natural images that capture physical objects, do…
Crowdsampling the Plenoptic Function
Zhengqi Li, Wenqi Xian, Abe Davis +1
Many popular tourist landmarks are captured in a multitude of online, public photos. These photos represent a sparse and unstructured sampling of the plenoptic function for a parti…
Visual Chirality
Zhiqiu Lin, Jin Sun, Abe Davis +1
How can we tell whether an image has been mirrored? While we understand the geometry of mirror reflections very well, less has been said about how it affects distributions of image…
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian, Divyansh Garg, Yan Wang +6
Reliable and accurate 3D object detection is a necessity for safe autonomous driving. Although LiDAR sensors can provide accurate 3D point cloud estimates of the environment, they…
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Ranjita Thapa, Noah Snavely, Serge Belongie +1
Apple orchards in the U.S. are under constant threat from a large number of pathogens and insects. Appropriate and timely deployment of disease management depends on early disease…
Depth Sensing Beyond LiDAR Range
Kai Zhang, Jiaxin Xie, Noah Snavely +1
Depth sensing is a critical component of autonomous driving technologies, but today's LiDAR- or stereo camera-based solutions have limited range. We seek to increase the maximum ra…