105 citations · 465 across the 21 of their papers we have counts for
22 papers
A Unified Multi-view Multi-person Tracking Framework
Fan Yang, Shigeyuki Odashima, Sosuke Yamao +3
Although there is a significant development in 3D Multi-view Multi-person Tracking (3D MM-Tracking), current 3D MM-Tracking frameworks are designed separately for footprint and pos…
Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms
Rui Ma, Mengxi Guo, Yi Hou +4
Blind watermarking provides powerful evidence for copyright protection, image authentication, and tampering identification. However, it remains a challenge to design a watermarking…
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
Fan Yang, Shigeyuki Odashima, Shoichi Masui +1
This is our 2nd-place solution for the ECCV 2022 Multiple People Tracking in Group Dance Challenge. Our method mainly includes two steps: online short-term tracking using our Casca…
The Second-place Solution for CVPR 2022 SoccerNet Tracking Challenge
Fan Yang, Shigeyuki Odashima, Shoichi Masui +1
This is our second-place solution for CVPR 2022 SoccerNet Tracking Challenge. Our method mainly includes two steps: online short-term tracking using our Cascaded Buffer-IoU (C-BIoU…
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space
Fan Yang, Shigeyuki Odashima, Shoichi Masui +1
We propose a Cascaded Buffered IoU (C-BIoU) tracker to track multiple objects that have irregular motions and indistinguishable appearances. When appearance features are unreliable…
Actor-identified Spatiotemporal Action Detection -- Detecting Who Is Doing What in Videos
Fan Yang, Norimichi Ukita, Sakriani Sakti +1
The success of deep learning on video Action Recognition (AR) has motivated researchers to progressively promote related tasks from the coarse level to the fine-grained level. Comp…
RGB-Event Fusion for Moving Object Detection in Autonomous Driving
Zhuyun Zhou, Zongwei Wu, Rémi Boutteau +3
Moving Object Detection (MOD) is a critical vision task for successfully achieving safe autonomous driving. Despite plausible results of deep learning methods, most existing approa…
Anti-resonances and sharp analysis of Maryland localization for all parameters
Rui Han, Svetlana Jitomirskaya, Fan Yang
We develop the technique to prove localization through the analysis of eigenfunctions in presence of both exponential frequency resonances and exponential phase barriers (anti-reso…
Tentative Evidence for Transit Timing Variations of WASP-161b
Fan Yang, Ranga-Ram Chary
We report on the detection of transit timing variations (TTV) of WASP-161b by using the combination of TESS data and archival data. The midpoint of the transits in TESS data are of…
Liouvillian Skin Effect in an Exactly Solvable Model
Fan Yang, Qing-Dong Jiang, Emil J. Bergholtz
The interplay between dissipation, topology and sensitivity to boundary conditions has recently attracted tremendous amounts of attention at the level of effective non-Hermitian de…
Kinetic-scale flux ropes: Observations and applications of kinetic equilibrium models
Fan Yang, Xu-zhi Zhou, Jing-huan Li +4
Magnetic flux ropes with helical field lines and strong core field are ubiquitous structures in space plasmas. Recently, kinetic-scale flux ropes have been identified by high-resol…
The Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network
Bo Zhang, Ying-Jie Jing, Fan Yang +13
We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra…
Transit Timing Variation of XO-3b: Evidence for Tidal Evolution of Hot Jupiter with High Eccentricity
Fan Yang, Xing Wei
Observed transit timing variation (TTV) potentially reveals the period decay caused by star-planet tidal interaction which can explain the orbital migration of hot Jupiters. We rep…
LTD064402+245919: A Subgiant with a 1-3 M Undetected Companion Identified from LAMOST-TD Data
Fan Yang, Bo Zhang, Richard J. Long +11
Single-line spectroscopic binaries recently contribute to the stellar-mass black hole discovery, independently of the X-ray transient method. We report the identification of a sing…
LAMOST Time-Domain Survey: First Results of four 2 plates
Song Wang, Haotong Zhang, Zhongrui Bai +23
From Oct. 2019 to Apr. 2020, LAMOST performs a time-domain spectroscopic survey of four 2 plates with both low- and med-resolution observations. The low-resolution spectroscopic…
Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7
Bo Zhang, Jiao Li, Fan Yang +12
Radial velocity (RV) is among the most fundamental physical quantities obtainable from stellar spectra and is rather important in the analysis of time-domain phenomena. The LAMOST…
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang, Hongyang R. Zhang, Sen Wu +2
The problem of learning one task using samples from another task is central to transfer learning. In this paper, we focus on answering the following question: when does combining t…
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
Xiucai Ding, Fan Yang
Detection of the number of signals corrupted by high-dimensional noise is a fundamental problem in signal processing and statistics. This paper focuses on a general setting where t…
Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate
Fan Yang, Feiran Li, Yang Wu +2
3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also…
Optimizing city-scale traffic through modeling observations of vehicle movements
Fan Yang, Alina Vereshchaka, Bruno Lepri +1
The capability of traffic-information systems to sense the movement of millions of users and offer trip plans through mobile phones has enabled a new way of optimizing city traffic…
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
David Hong, Fan Yang, Jeffrey A. Fessler +1
Modern data are increasingly both high-dimensional and heteroscedastic. This paper considers the challenge of estimating underlying principal components from high-dimensional data…
An Algorithm for Preferential Selection of Spectroscopic Targets in LEGUE
Jeffrey L. Carlin, Sebastien Lepine, Heidi Jo Newberg +22
We describe a general target selection algorithm that is applicable to any survey in which the number of available candidates is much larger than the number of objects to be observ…