10.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of MichiganUS1.5k papers
- Michigan State UniversityUS1.5k papers
- Centre National de la Recherche ScientifiqueFR1.4k papers
- Lawrence Berkeley National LaboratoryUS1.4k papers
- McGill UniversityCA1.4k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1.3k papers
- University of ManchesterGB1.3k papers
- University of LiverpoolGB1.3k papers
- University of TorontoCA1.3k papers
- University of OxfordGB1.3k papers
- TRIUMFCA1.3k papers
- Argonne National LaboratoryUS1.3k papers
6 papers · 2 filters
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
Heng Li, Zhaopeng Cui, Shuaicheng Liu +1
This paper proposes a deep recurrent Rotation Averaging Graph Optimizer (RAGO) for Multiple Rotation Averaging (MRA). Conventional optimization-based methods usually fail to produc…
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
Jiaqing Zhang, Jie Lei, Weiying Xie +3
Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily…
Towards Automated Key-Point Detection in Images with Partial Pool View
T. J. Woinoski, I. V. Bajic
Sports analytics has been an up-and-coming field of research among professional sporting organizations and academic institutions alike. With the insurgence and collection of athlet…
Adversarial Attacks on Human Vision
Victor A. Mateescu, Ivan V. Bajić
This article presents an introduction to visual attention retargeting, its connection to visual saliency, the challenges associated with it, and ideas for how it can be approached.…
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Weina Jin, Xiaoxiao Li, Ghassan Hamarneh
Being able to explain the prediction to clinical end-users is a necessity to leverage the power of artificial intelligence (AI) models for clinical decision support. For medical im…
Neural Dual Contouring
Zhiqin Chen, Andrea Tagliasacchi, Thomas Funkhouser +1
We introduce neural dual contouring (NDC), a new data-driven approach to mesh reconstruction based on dual contouring (DC). Like traditional DC, it produces exactly one vertex per…