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Section: Application Domains
Introduction
We believe that foundational modeling work should be grounded in applications. This includes (but is not restricted to) the following high-impact domains.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
- Visual Place Recognition with Repetitive Structures
- NetVLAD: CNN architecture for weakly supervised place recognition
- 24/7 place recognition by view synthesis
- Weakly Supervised Object Recognition with Convolutional Neural Networks
- Unsupervised Object Discovery and Localization in the Wild
- Joint Static and Dynamic Guidance Filter
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
- Visual Place Recognition with Repetitive Structures
- NetVLAD: CNN architecture for weakly supervised place recognition
- 24/7 place recognition by view synthesis
- Weakly Supervised Object Recognition with Convolutional Neural Networks
- Unsupervised Object Discovery and Localization in the Wild
- Joint Static and Dynamic Guidance Filter
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography