5.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- SupélecFR485 papers
- University of Applied Sciences and Arts of Southern SwitzerlandCH485 papers
- New York UniversityUS52 papers
- Google (United States)US16 papers
- Princeton UniversityUS15 papers
- Courant Institute of Mathematical SciencesUS13 papers
- Meta (Israel)IL11 papers
- Massachusetts Institute of TechnologyUS10 papers
- Stanford UniversityUS8 papers
- University of California, BerkeleyUS8 papers
- Cornell UniversityUS7 papers
- Carnegie Mellon UniversityUS6 papers
8 papers · 2 filters
Improving Visual Recognition using Ambient Sound for Supervision
Rohan Mahadev, Hongyu Lu
Our brains combine vision and hearing to create a more elaborate interpretation of the world. When the visual input is insufficient, a rich panoply of sounds can be used to describ…
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku +2
The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential to assess compositional changes…
Video Person Re-ID: Fantastic Techniques and Where to Find Them
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
The ability to identify the same person from multiple camera views without the explicit use of facial recognition is receiving commercial and academic interest. The current status-…
Mobile Recognition of Wikipedia Featured Sites using Deep Learning and Crowd-sourced Imagery
Jimin Tan, Anastasios Noulas, Diego Sáez +1
Rendering Wikipedia content through mobile and augmented reality mediums can enable new forms of interaction in urban-focused user communities facilitating learning, communication…
Quantifying the presence of graffiti in urban environments
Eric K. Tokuda, Claudio T. Silva, Roberto M. Cesar-Jr
Graffiti is a common phenomenon in urban scenarios. Differently from urban art, graffiti tagging is a vandalism act and many local governments are putting great effort to combat it…
Learning a smooth kernel regularizer for convolutional neural networks
Reuben Feinman, Brenden M. Lake
Modern deep neural networks require a tremendous amount of data to train, often needing hundreds or thousands of labeled examples to learn an effective representation. For these ne…
Neural Imaging Pipelines - the Scourge or Hope of Forensics?
Pawel Korus, Nasir Memon
Forensic analysis of digital photographs relies on intrinsic statistical traces introduced at the time of their acquisition or subsequent editing. Such traces are often removed by…
TUNet: Incorporating segmentation maps to improve classification
Yijun Tian
Determining the localization of specific protein in human cells is important for understanding cellular functions and biological processes of underlying diseases. Among imaging tec…