12 citations · 34 across the 8 of their papers we have counts for
10 papers
Spreading processes with population heterogeneity over multi-layer networks
Yurun Tian, Osman Yagan
It's been controversial whether re-opening school will facilitate viral spread among household communities with mitigation strategies such as mask-wearing in place. In this work, w…
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Hongkai Chen, Zixin Luo, Lei Zhou +6
Generating robust and reliable correspondences across images is a fundamental task for a diversity of applications. To capture context at both global and local granularity, we prop…
ScaleNet: A Shallow Architecture for Scale Estimation
Axel Barroso-Laguna, Yurun Tian, Krystian Mikolajczyk
In this paper, we address the problem of estimating scale factors between images. We formulate the scale estimation problem as a prediction of a probability distribution over scale…
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6
Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…
The Role of Masks in Mitigating Viral Spread on Networks
Yurun Tian, Anirudh Sridhar, Chai Wah Wu +4
Masks have remained an important mitigation strategy in the fight against COVID-19 due to their ability to prevent the transmission of respiratory droplets between individuals. In…
Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19
Yurun Tian, Anirudh Sridhar, Osman Yagan +1
Masks are used as part of a comprehensive strategy of measures to limit transmission and save lives during the COVID-19 pandemic. Research about the impact of mask-wearing in the C…
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Yurun Tian, Axel Barroso-Laguna, Tony Ng +2
Recent works show that local descriptor learning benefits from the use of L2 normalisation, however, an in-depth analysis of this effect lacks in the literature. In this paper, we…
D2D: Keypoint Extraction with Describe to Detect Approach
Yurun Tian, Vassileios Balntas, Tony Ng +3
In this paper, we present a novel approach that exploits the information within the descriptor space to propose keypoint locations. Detect then describe, or detect and describe joi…
SOLAR: Second-Order Loss and Attention for Image Retrieval
Tony Ng, Vassileios Balntas, Yurun Tian +1
Recent works in deep-learning have shown that second-order information is beneficial in many computer-vision tasks. Second-order information can be enforced both in the spatial con…
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
Yurun Tian, Xin Yu, Bin Fan +3
Despite the fact that Second Order Similarity (SOS) has been used with significant success in tasks such as graph matching and clustering, it has not been exploited for learning lo…