198 citations · 1k across the 28 of their papers we have counts for
10 papers · 1 filter
Bag of Tricks and A Strong baseline for Image Copy Detection
Wenhao Wang, Weipu Zhang, Yifan Sun +1
Image copy detection is of great importance in real-life social media. In this paper, a bag of tricks and a strong baseline are proposed for image copy detection. Unsupervised pre-…
DLV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Wenhao Wang, Yifan Sun, Weipu Zhang +1
Image copy detection is of great importance in real-life social media. In this paper, a data-driven and local-verification (DLV) approach is proposed to compete for Image Simil…
Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning
Abhisesh Silwal, Francisco Yandun, Anjana Nellithimaru +2
Dormant season grapevine pruning requires skilled seasonal workers during the winter season which are becoming less available. As workers hasten to prune more vines in less time am…
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang, Yifan Sun, Xun Wang +2
Model smoothing is of central importance for obtaining a reliable teacher model in the student-teacher framework, where the teacher generates surrogate supervision signals to train…
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Yongxing Dai, Jun Liu, Yifan Sun +3
Unsupervised domain adaptive person re-identification (UDA re-ID) aims at transferring the labeled source domain's knowledge to improve the model's discriminability on the unlabele…
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Baojian Zhou, Yifan Sun
In this paper, we consider approximate Frank-Wolfe (FW) algorithms to solve convex optimization problems over graph-structured support sets where the linear minimization oracle (LM…
Continuous Time Frank-Wolfe Does Not Zig-Zag, But Multistep Methods Do Not Accelerate
Zhaoyue Chen, Mokhwa Lee, Yifan Sun
The Frank-Wolfe algorithm has regained much interest in its use in structurally constrained machine learning applications. However, one major limitation of the Frank-Wolfe algorith…
Daisen: A Framework for Visualizing Detailed GPU Execution
Yifan Sun, Yixuan Zhang, Ali Mosallaei +3
Graphics Processing Units (GPUs) have been widely used to accelerate artificial intelligence, physics simulation, medical imaging, and information visualization applications. To im…
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Yifan Sun, Yuke Zhu, Yuhan Zhang +4
This paper introduces a new fundamental characteristic, \ie, the dynamic range, from real-world metric tools to deep visual recognition. In metrology, the dynamic range is a basic…
Mapping the Landscape of COVID-19 Crisis Visualizations
Yixuan Zhang, Yifan Sun, Lace Padilla +3
In response to COVID-19, a vast number of visualizations have been created to communicate information to the public. Information exposure in a public health crisis can impact peopl…