Publications (21)
A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
Weikun Zhen, Yaoyu Hu, Jingfeng Liu +1
Fusing data from LiDAR and camera is conceptually attractive because of their complementary properties. For instance, camera images are higher resolution and have colors, while LiD…
Mode-Wise Spectral Criteria for Coupled Mass Transport in Hybrid PDE--ODE Tumor Microenvironments
Jiguang Yu, Louis Shuo Wang, Zonghao Liu +1
We study coupled mass transport in a tumor--microenvironment setting with two motile densities and non-motile state switching . The populations diffuse and undergo c…
Discrete solitons and vortices on two-dimensional lattices of -symmetric couplers
Zhaopin Chen, Jingfeng Liu, Shenhe Fu +2
We introduce a 2D network built of -symmetric dimers with on-site cubic nonlinearity, the gain and loss elements of the dimers being linked by parallel square-shaped…
Weakly Supervised Detection of Baby Cry
Weijun Tan, Qi Yao, Jingfeng Liu
Detection of baby cries is an important part of baby monitoring and health care. Almost all existing methods use supervised SVM, CNN, or their varieties. In this work, we propose t…
Anomalous spontaneous emission dynamics at chiral exceptional points
Yuwei Lu, Yanhui Zhao, Runhua Li +1
An open quantum system operated at the spectral singularities where dimensionality reduces, known as exceptional points (EPs), demonstrates distinguishing behavior from the Hermiti…
YOLO5Face: Why Reinventing a Face Detector
Delong Qi, Weijun Tan, Qi Yao +1
Tremendous progress has been made on face detection in recent years using convolutional neural networks. While many face detectors use designs designated for detecting faces, we tr…
Two-Stage COVID19 Classification Using BERT Features
Weijun Tan, Qi Yao, Jingfeng Liu
We propose an automatic COVID1-19 diagnosis framework from lung CT-scan slice images using double BERT feature extraction. In the first BERT feature extraction, A 3D-CNN is first u…
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images
Weijun Tan, Jingfeng Liu
We present an automatic COVID1-19 diagnosis framework from lung CT-scan slice images. In this framework, the slice images of a CT-scan volume are first proprocessed using segmentat…
Strong magneto-optical response enabled by quantum two level systems
Lei Ying, Ming Zhou, Xiaoguang Luo +2
The magneto-optical effect breaks time-reversal symmetry, a unique property that makes it indispensable in nonreciprocal optics and topological photonics. Unfortunately, all natura…
Matter-wave solitons supported by field-induced dipole-dipole repulsion with a spatially modulated strength
Yongyao Li, Jingfeng Liu, Wei Pang +1
We demonstrate the existence of one and two-dimensional bright solitons in the Bose-Einstein condensate with repulsive dipole-dipole interactions induced by a combination of dc and…
Atomic metasurfaces for manipulation of single photons
Ming Zhou, Jingfeng Liu, Mikhail Kats +1
Metasurfaces are an emerging platform for manipulating light on a two-dimensional plane. Existing metasurfaces comprise arrays of optical resonators such as plasmonic antennas or h…
Lattice solitons with quadrupolar intersite interactions
Yongyao Li, Jingfeng Liu, Wei Pang +1
We study two-dimensional (2D) solitons in the mean-field models of ultracold gases with long-range quadrupole-quadrupole interaction (QQI) between particles. The condensate is load…
A Dataset and System for Real-Time Gun Detection in Surveillance Video Using Deep Learning
Delong Qi, Weijun Tan, Zhifu Liu +2
Gun violence is a severe problem in the world, particularly in the United States. Deep learning methods have been studied to detect guns in surveillance video cameras or smart IP c…
Computational Oncology of Chemotaxis-Driven Tumour--Immune Spatial Patterning and Stability
Zonghao Liu, Jiguang Yu, Lei Su +3
Spatial tumour--immune heterogeneity is a key feature of solid-tumour progression, immune infiltration, and immune exclusion. We develop a computational oncology model in which tum…
Chemotactic Feedback Controls Patterning in Hybrid Tumor--Stroma Model
Jiguang Yu, Louis Shuo Wang, Zonghao Liu +1
Motivated by an ongoing collaboration with clinical oncologists and pathologists, we develop a hybrid partial differential equation--ordinary differential equation (PDE--ODE) frame…
Topologically protected subradiant cavity polaritons through linewidth narrowing enabled by dissipationless edge states
Yuwei Lu, Jingfeng Liu, Haoxiang Jiang +1
Cavity polaritons derived from the strong light-matter interaction at the quantum level provide a basis for efficient manipulation of quantum states via cavity field. Polaritons wi…
Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition
Weijun Tan, Jingfeng Liu
Detection of fights is an important surveillance application in videos. Most existing methods use supervised binary action recognition. Since frame-level annotations are very hard…
Symmetry breaking in dipolar matter-wave solitons in dual-core couplers
Yongyao Li, Jingfeng Liu, Wei Pang +1
We study effects of the spontaneous symmetry-breaking (SSB) in solitons built of the dipolar Bose-Einstein condensate (BEC), trapped in a dual-core system with the dipole-dipole in…
Quantum scattering theory of Fock states in high-dimensional spaces
Jingfeng Liu, Ming Zhou, Zongfu Yu
A quantum scattering theory is developed for Fock states scattered by two-level systems in the free space. Compared to existing scattering theories that treat incident light semi-c…
Balanced Masked and Standard Face Recognition
Delong Qi, Kangli Hu, Weijun Tan +2
We present the improved network architecture, data augmentation, and training strategies for the Webface track and Insightface/Glint360K track of the masked face recognition challe…
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
Weijun Tan, Qi Yao, Jingfeng Liu
Current weakly supervised video anomaly detection algorithms mostly use multiple instance learning (MIL) or their varieties. Almost all recent approaches focus on how to select the…