Publications (96)
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
Chang Liu, Giulia Rizzoli, Pietro Zanuttigh +2
Current weakly-supervised incremental learning for semantic segmentation (WILSS) approaches only consider replacing pixel-level annotations with image-level labels, while the train…
Scaling of quantum Fisher information for quantum exceptional point sensors
Chun-Hui Liu, Fu Li, Shengwang Du +3
In recent years, significant progress has been made in utilizing the divergence of spectrum response rate at the exceptional point (EP) for sensing in classical systems, while the…
Egalitarian Resource Sharing Over Multiple Rounds
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
It is often beneficial for agents to pool their resources in order to better accommodate fluctuations in individual demand. Many multi-round resource allocation mechanisms operate…
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
Hao Yu, Fu Li, Mahdi Saleh +2
We study the problem of extracting correspondences between a pair of point clouds for registration. For correspondence retrieval, existing works benefit from matching sparse keypoi…
Beyond sub-Rayleigh imaging via high order correlation of speckle illumination
Fu Li, Charles Altuzarra, Tian Li +2
Second order intensity correlations of speckle illumination are extensively used in imaging applications that require going beyond the Rayleigh limit. The theoretical analysis show…
WVEmbs with its Masking: A Method For Radar Signal Sorting
Xianan Hu, Fu Li, Kairui Niu +2
Our study proposes a novel embedding method, Wide-Value-Embeddings (WVEmbs), for processing Pulse Descriptor Words (PDWs) as normalized inputs to neural networks. This method adapt…
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Fu Li, Hao Yu, Ivan Shugurov +3
Pose estimation of 3D objects in monocular images is a fundamental and long-standing problem in computer vision. Existing deep learning approaches for 6D pose estimation typically…
Energy-Aware Aggregation of Dynamic Temporal Workload in Data Centers
Haiyang Qian, Fu Li, Ravishankar Ravindran +1
Data center providers seek to minimize their total cost of ownership (TCO), while power consumption has become a social concern. We present formulations to minimize server energy c…
Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
Manyu Zhu, Dongliang He, Xin Li +5
Inpainting arbitrary missing regions is challenging because learning valid features for various masked regions is nontrivial. Though U-shaped encoder-decoder frameworks have been w…
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation
Xin Li, Wenqing Chu, Ye Wu +7
In this paper, we present VideoGen, a text-to-video generation approach, which can generate a high-definition video with high frame fidelity and strong temporal consistency using r…
Quantum Advantage with Seeded Squeezed Light for Absorption Measurement
Fu Li, Tian Li, Marlan O. Scully +1
Absorption measurement is an exceptionally versatile tool for many applications in science and engineering. For absorption measurements using laser beams of light, the sensitivity…
Learning from Brain Topography: A Hierarchical Local-Global Graph-Transformer Network for EEG Emotion Recognition
Yijin Zhou, Fu Li, Yi Niu +3
Understanding how local neurophysiological patterns interact with global brain dynamics is essential for decoding human emotions from EEG signals. However, existing deep learning a…
It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training
Yuxin Song, Min Yang, Wenhao Wu +3
Self-supervised video transformer pre-training has recently benefited from the mask-and-predict pipeline. They have demonstrated outstanding effectiveness on downstream video tasks…
3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography
Fu Li, Umberto Villa, Seonyeong Park +1
Ultrasound computed tomography (USCT) is an emerging imaging modality for breast imaging that can produce quantitative images that depict the acoustic properties of tissues. Comput…
Temporal Quantum Noise Reduction Acquired by an Electron-Multiplying Charge-Coupled-Device Camera
Fu Li, Tian Li, Girish S. Agarwal
Electron-multiplying charge-coupled-device cameras (EMCCDs) have been used to observe quantum noise reductions in beams of light in the transverse spatial degree of freedom. For th…
Request-Only Optimization for Recommendation Systems
Liang Guo, Wei Li, Lucy Liao +25
Deep Learning Recommendation Models (DLRMs) represent one of the largest machine learning applications on the planet. Industry-scale DLRMs are trained with petabytes of recommendat…
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification
Yunlong Bian, Chuang Gan, Xiao Liu +7
This paper describes our solution for the video recognition task of ActivityNet Kinetics challenge that ranked the 1st place. Most of existing state-of-the-art video recognition ap…
Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
In recent work, Gourvès, Lesca, and Wilczynski propose a variant of the classic housing markets model where the matching between agents and objects evolves through Pareto-improvin…
Characterizing Propositional Proofs as Non-Commutative Formulas
Fu Li, Iddo Tzameret, Zhengyu Wang
Does every Boolean tautology have a short propositional-calculus proof? Here, a propositional calculus (i.e. Frege) proof is a proof starting from a set of axioms and deriving new…
High-throughput screening of spin Hall conductivity in 2D materials
Fu Li, Xiaoxiong Liu, Vikrant Chaudhary +4
Two-dimensional (2D) materials with large spin Hall effect (SHE) have attracted significant attention due to their potential applications in next-generation spintronic devices. In…
In-plane anisotropic faceting of ultralarge and thin single-crystalline colloidal SnS nanosheets
Fu Li, Mohammad Mehdi Ramin Moayed, Eugen Klein +2
The colloidal synthesis of large thin two-dimensional (2D) nanosheets is fascinating but challenging, since the growth along the lateral and vertical dimensions need to be controll…
2D Ferroelectric Ruddlesden-Popper Perovskites: an Emerging Fully Electronically Controllable Shift Current and Persistent Spin Helix
Yue Zhao, Fu Li, Vikrant Chaudhary +5
Two-dimensional (2D) hybrid organic--inorganic perovskites (HOIPs) are promising candidates for next-generation optoelectronic and spintronic applications. This work systematically…
Quantum-Enhanced Stimulated Brillouin Scattering Spectroscopy and Imaging
Tian Li, Fu Li, Xinghua Liu +2
Brillouin microscopy is an emerging label-free imaging technique to assess local viscoelastic properties. Quantum-enhanced stimulated Brillouin scattering is demonstrated for the f…
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
Haoran Wang, Dongliang He, Wenhao Wu +7
Image-Text Retrieval (ITR) is challenging in bridging visual and lingual modalities. Contrastive learning has been adopted by most prior arts. Except for limited amount of negative…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
Multi-Label Classification with Label Graph Superimposing
Ya Wang, Dongliang He, Fu Li +4
Images or videos always contain multiple objects or actions. Multi-label recognition has been witnessed to achieve pretty performance attribute to the rapid development of deep lea…
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
Jianan Wang, Bin Li, Jingtao Qi +3
Traditional robot simulators focus on physical process modeling and realistic rendering, often suffering from high computational costs, inefficiencies, and limited adaptability. To…
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
Lin Zhang, Xin Li, Dongliang He +3
Reference-based image super-resolution (RefSR) is a promising SR branch and has shown great potential in overcoming the limitations of single image super-resolution. While previous…
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
Yang Li, Boxun Fu, Fu Li +2
The existed methods for electroencephalograph (EEG) emotion recognition always train the models based on all the EEG samples indistinguishably. However, some of the source (trainin…
Strain-Tunable Shift Current and Magneto-Optical Kerr Effect in Multiferroic Altermagnet Fe2Mo3O8
Shengqiao Wang, Bo Zhao, Harish K. Singh +6
The paper uses first‑principles calculations to study how ferroelectric polarization, strain, and altermagnetic order in the multiferroic Fe2Mo3O8 affect shift current and magneto‑…
Quantum refrigerator driven by nonclassical light
Hui-Jing Cao, Fu Li, Sheng-Wen Li
We study a three-level quantum refrigerator which is driven by a generic light state, even a nonclassical one. With the help of P function expansion of the driving light, we obtain…
Ferroelectricity-driven altermagnetism in two-dimensional van der Waals multiferroics
Bo Zhao, Fu Li, Wei Ren +2
Altermagnets (AMs) are a recently identified class of unconventional collinear compensated antiferromagnets that exhibit momentum-dependent spin splitting despite having zero net m…
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
Zipeng Xu, Tianwei Lin, Hao Tang +6
To achieve disentangled image manipulation, previous works depend heavily on manual annotation. Meanwhile, the available manipulations are limited to a pre-defined set the models w…
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Songhua Liu, Tianwei Lin, Dongliang He +6
Fast arbitrary neural style transfer has attracted widespread attention from academic, industrial and art communities due to its flexibility in enabling various applications. Exist…
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network
Yijin Zhou, Fu Li, Yang Li +3
Recognizing the pivotal role of EEG emotion recognition in the development of affective Brain-Computer Interfaces (aBCIs), considerable research efforts have been dedicated to this…
Investigating the `Past of a Particle' without disturbing it
Faheel Hashmi, Fu Li, Shiyao Zhu
In a recent article [Chin. Phys. Lett. 34, 020301 (2017)], Ben-Israel et al. have claimed that the experiment proposed in [Chin. Phys. Lett. 32, 050303 (2015)] to determine the pas…
Spatio-Temporal Progressive Attention Model for EEG Classification in Rapid Serial Visual Presentation Task
Yang Li, Wei Liu, Tianzhi Feng +6
As a type of multi-dimensional sequential data, the spatial and temporal dependencies of electroencephalogram (EEG) signals should be further investigated. Thus, in this paper, we…
The Obnoxious Facility Location Game with Dichotomous Preferences
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
We consider a facility location game in which agents reside at known locations on a path, and heterogeneous facilities are to be constructed on the path. Each agent is adve…
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Dario Fuoli, Zhiwu Huang, Martin Danelljan +18
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain. The chall…
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Yueming Lyu, Tianwei Lin, Fu Li +3
Text-driven image manipulation remains challenging in training or inference flexibility. Conditional generative models depend heavily on expensive annotated training data. Meanwhil…
Revisiting Neural Retrieval on Accelerators
Jiaqi Zhai, Zhaojie Gong, Yueming Wang +4
Retrieval finds a small number of relevant candidates from a large corpus for information retrieval and recommendation applications. A key component of retrieval is to model (user,…
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Songhua Liu, Tianwei Lin, Dongliang He +5
Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
Tianzhi Feng, Chennan Wu, Yi Niu +5
In recent years, numerous neuroscientific studies demonstrate that specific areas of the brain are connected to human emotional responses, with these regions exhibiting variability…
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
Wenhao Wu, Dongliang He, Tianwei Lin +3
Conventionally, spatiotemporal modeling network and its complexity are the two most concentrated research topics in video action recognition. Existing state-of-the-art methods have…
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
Ivan Shugurov, Fu Li, Benjamin Busam +1
We present a novel one-shot method for object detection and 6 DoF pose estimation, that does not require training on target objects. At test time, it takes as input a target image…
Goku: Flow Based Video Generative Foundation Models
Shoufa Chen, Chongjian Ge, Yuqi Zhang +19
This paper introduces Goku, a state-of-the-art family of joint image-and-video generation models leveraging rectified flow Transformers to achieve industry-leading performance. We…
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Haoran Wang, Di Xu, Dongliang He +4
Video-text retrieval (VTR) is an attractive yet challenging task for multi-modal understanding, which aims to search for relevant video (text) given a query (video). Existing metho…
Deep Concept-wise Temporal Convolutional Networks for Action Localization
Xin Li, Tianwei Lin, Xiao Liu +7
Existing action localization approaches adopt shallow temporal convolutional networks (\ie, TCN) on 1D feature map extracted from video frames. In this paper, we empirically find t…
Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
Wei Chen, Fu Li, Tian Lin +1
In this paper, we propose the amphibious influence maximization (AIM) model that combines traditional marketing via content providers and viral marketing to consumers in social net…
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
Dongliang He, Fu Li, Qijie Zhao +3
In this report, our approach to tackling the task of ActivityNet 2018 Kinetics-600 challenge is described in detail. Though spatial-temporal modelling methods, which adopt either s…
A Study on Training and Developing Large Language Models for Behavior Tree Generation
Fu Li, Xueying Wang, Bin Li +3
This paper presents an innovative exploration of the application potential of large language models (LLM) in addressing the challenging task of automatically generating behavior tr…
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Jianan Li, Yangtao Zhou, Zhifu Zhao +5
Recommendation systems in AI-based medical diagnostics and treatment constitute a critical component of AI in healthcare. Although some studies have explored this area and made not…
Colloidal Tin Sulfide Nanosheets: Formation Mechanism, Ligand-mediated Shape Tuning and Photo-detection
Fu Li, Mohammad Mehdi Ramin Moayed, Frauke Gerdes +4
Colloidal materials of tin(II) sulfide (SnS), as a layered semiconductor with a narrow band gap, are emerging as a potential alternative to the more toxic metal chalcogenides (PbS,…
FoleyDirector: Fine-Grained Temporal Steering for Video-to-Audio Generation via Structured Scripts
You Li, Dewei Zhou, Fan Ma +3
Recent Video-to-Audio (V2A) methods have achieved remarkable progress, enabling the synthesis of realistic, high-quality audio. However, they struggle with fine-grained temporal co…
Mapping Diffuse Emission in Lyman UV band
Li Ji, Zheng Lou, Jinlong Zhang +38
The CAFE (Census of warm-hot intergalactic medium, Accretion, and Feedback Explorer) and LyRIC (Lyman UV Radiation from Interstellar medium and Circum-galactic medium) have been pr…
From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
Beining Wu, Fuyou Mao, Jiong Lin +7
Generative engines (GEs) are reshaping information access by replacing ranked links with citation-grounded answers, yet current Generative Engine Optimization (GEO) methods optimiz…
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang, Dongliang He, Miao Fan +5
Image Retrieval is a fundamental task of obtaining images similar to the query one from a database. A common image retrieval practice is to firstly retrieve candidate images via si…
Anisotropic circular photogalvanic effect in colloidal tin sulfide nanosheets
Mohammad Mehdi Ramin Moayed, Fu Li, Philip Beck +2
Tin sulfide promises very interesting properties such as a high optical absorption coefficient and a small band gap, while being less toxic compared to other metal chalcogenides. H…
Progressive Graph Convolution Network for EEG Emotion Recognition
Yijin Zhou, Fu Li, Yang Li +6
Studies in the area of neuroscience have revealed the relationship between emotional patterns and brain functional regions, demonstrating that dynamic relationships between differe…
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen, Wei Hu, Fu Li +3
In this paper, we study the stochastic combinatorial multi-armed bandit (CMAB) framework that allows a general nonlinear reward function, whose expected value may not depend only o…
Bayesian optimization with active learning of Ta-Nb-Hf-Zr-Ti system for spin transport properties
Ruiwen Xie, Yixuan Zhang, Fu Li +2
Designing materials with enhanced spin charge conversion, i.e., with high spin Hall conductivity (SHC) and low longitudinal electric conductivity (hence large spin Hall angle (SHA)…
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Cheng Cui, Ruoyu Guo, Yuning Du +10
Recently, research efforts have been concentrated on revealing how pre-trained model makes a difference in neural network performance. Self-supervision and semi-supervised learning…
Squeezed Light Induced Two-photon Absorption Fluorescence of Fluorescein Biomarkers
Tian Li, Fu Li, Charles Altuzarra +2
Two-photon absorption (TPA) fluorescence of biomarkers has been decisive in advancing the fields of biosensing and deep-tissue in vivo imaging of live specimens. However, due to th…
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding
Fu Li, Chuang Gan, Xiao Liu +6
This paper describes our solution for the video recognition task of the Google Cloud and YouTube-8M Video Understanding Challenge that ranked the 3rd place. Because the challenge p…
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition
Yijin Zhou, Fu Li, Yang Li +5
As the key to realizing aBCIs, EEG emotion recognition has been widely studied by many researchers. Previous methods have performed well for intra-subject EEG emotion recognition.…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
Yang Li, Ji Chen, Fu Li +7
Previous electroencephalogram (EEG) emotion recognition relies on single-task learning, which may lead to overfitting and learned emotion features lacking generalization. In this p…
Retinex-guided Channel-grouping based Patch Swap for Arbitrary Style Transfer
Chang Liu, Yi Niu, Mingming Ma +2
The basic principle of the patch-matching based style transfer is to substitute the patches of the content image feature maps by the closest patches from the style image feature ma…
A forward model incorporating elevation-focused transducer properties for 3D full-waveform inversion in ultrasound computed tomography
Fu Li, Umberto Villa, Nebojsa Duric +1
Ultrasound computed tomography (USCT) is an emerging medical imaging modality that holds great promise for improving human health. Full-waveform inversion (FWI)-based image reconst…
The Solar Upper Transition Region Imager (SUTRI) onboard the SATech-01 satellite
Xianyong Bai, Hui Tian, Yuanyong Deng +56
The Solar Upper Transition Region Imager (SUTRI) onboard the Space Advanced Technology demonstration satellite (SATech-01), which was launched to a sun-synchronous orbit at a heigh…
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
Tianwei Lin, Zhuoqi Ma, Fu Li +6
Artistic style transfer aims at migrating the style from an example image to a content image. Currently, optimization-based methods have achieved great stylization quality, but exp…
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He, Zhichao Zhou, Chuang Gan +5
Despite the success of deep learning for static image understanding, it remains unclear what are the most effective network architectures for the spatial-temporal modeling in video…
Neural Color Operators for Sequential Image Retouching
Yili Wang, Xin Li, Kun Xu +4
We propose a novel image retouching method by modeling the retouching process as performing a sequence of newly introduced trainable neural color operators. The neural color operat…
Generating Matrix Identities and Proof Complexity
Fu Li, Iddo Tzameret
Motivated by the fundamental lower bounds questions in proof complexity, we initiate the study of matrix identities as hard instances for strong proof systems. A matrix identity of…
Single Crystalline Colloidal Quasi-Two-Dimensional Tin Telluride
Fu Li, Jiecai Fu, Abderrezak Torche +5
Tin telluride is a narrow gap semiconductor with promising properties for IR optical applications and topological insulators. We report a convenient colloidal synthesis of quasi-tw…
Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography
Gangwon Jeong, Fu Li, Trevor M. Mitcham +3
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accu…
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Hao Tang, Songhua Liu, Tianwei Lin +4
Transformer-based models achieve favorable performance in artistic style transfer recently thanks to its global receptive field and powerful multi-head/layer attention operations.…
Experimental study of decoherence of the two-mode squeezed vacuum state via second harmonic generation
Fu Li, Tian Li, Girish S. Agarwal
Decoherence remains one of the most serious challenges to the implementation of quantum technology. It appears as a result of the transformation over time of a quantum superpositio…
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
Dongliang He, Xiang Zhao, Jizhou Huang +3
The task of video grounding, which temporally localizes a natural language description in a video, plays an important role in understanding videos. Existing studies have adopted st…
Shift Current Anomalous Photovoltaics in a Double Perovskite Ferroelectric
Linjie Wei, Fu Li, Yi Liu +3
Ferroelectric anomalous photovoltaic (APV) effect, as a fascinating physical conceptual phenomenon, holds significant potentials for new optoelectronic device applications. However…
DreamFoley: Scalable VLMs for High-Fidelity Video-to-Audio Generation
Fu Li, Weichao Zhao, You Li +2
Recent advances in video generation have achieved remarkable improvements in visual content fidelity. However, the absence of synchronized audio severely undermines immersive exper…
An ideal experiment to determine the 'past of a particle' in the nested Mach-Zehnder Interferometer
Fu Li, F. A. Hashmi, Jun-Xiang Zhang +1
An ideal experiment is designed to determine the past of a particle in the nested Mach-Zehnder interferometer (MZI) by using standard quantum mechanics with quantum non-demolition…
Vision Transformer with Attention Map Hallucination and FFN Compaction
Haiyang Xu, Zhichao Zhou, Dongliang He +2
Vision Transformer(ViT) is now dominating many vision tasks. The drawback of quadratic complexity of its token-wise multi-head self-attention (MHSA), is extensively addressed via e…
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer
Tianwei Lin, Honglin Lin, Fu Li +5
Photo-realistic style transfer aims at migrating the artistic style from an exemplar style image to a content image, producing a result image without spatial distortions or unreali…
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
Qinghao Ye, Xianhan Zeng, Fu Li +2
Image captioning has long been a pivotal task in visual understanding, with recent advancements in vision-language models (VLMs) significantly enhancing the ability to generate det…
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
Luke Lozenski, Hanchen Wang, Fu Li +4
Ultrasound computed tomography (USCT) is an emerging modality for breast imaging. Image reconstruction methods that incorporate accurate wave physics produce high resolution quanti…
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
Zhifu Zhao, Hanyang Hua, Jianan Li +4
In action recognition tasks, feature diversity is essential for enhancing model generalization and performance. Existing methods typically promote feature diversity by expanding th…
The effect of dissipation in direct communication scheme
Fu Li, Jun-Xiang Zhang, Shi-Yao Zhu
The effect of the dissipation and finite number of beam splitters are discussed. A method using balanced dissipation to improve the communication for finite beam splitters, which g…
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI
Xujin Li, Wei Wei, Shuang Qiu +3
Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interface (BCI) is an effective technology used for information detection by detecting Event-Related Potentials (ERPs).…
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
Cong Cao, Tianwei Lin, Dongliang He +4
A common challenge posed to robust semantic segmentation is the expensive data annotation cost. Existing semi-supervised solutions show great potential for solving this problem. Th…
Cost-effectiveness Analysis of Antiepidemic Policies and Global Situation Assessment of COVID-19
Liyan Xu, Hongmou Zhang, Yuqiao Deng +17
With a two-layer contact-dispersion model and data in China, we analyze the cost-effectiveness of three types of antiepidemic measures for COVID-19: regular epidemiological control…
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography
Luke Lozenski, Hanchen Wang, Fu Li +4
Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods…
Photon statistics of quantum light on scattering from rotating ground glass
Sheng-Wen Li, Fu Li, Tao Peng +1
When a laser beam passes through a rotating ground glass (RGG), the scattered light exhibits thermal statistics. This is extensively used in speckle imaging. This scattering proces…
Medium-Throughput Evaluation of Quantum Geometry-Driven Topological Transports in Altermagnets
Fu Li, Bo Zhao, Vikrant Chaudhary +4
Altermagnets provide a promising platform for a wide spectrum of applications integrating advantages of conventional ferromagnets and antiferromagnets. In this work, we implement a…
Learning Semantic Person Image Generation by Region-Adaptive Normalization
Zhengyao Lv, Xiaoming Li, Xin Li +4
Human pose transfer has received great attention due to its wide applications, yet is still a challenging task that is not well solved. Recent works have achieved great success to…
TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation
Fan Yang, Xiao Liu, Dongliang He +5
In this work, we introduce a new problem, named as {\em story-preserving long video truncation}, that requires an algorithm to automatically truncate a long-duration video into mul…