52 citations · 173 across the 32 of their papers we have counts for
32 papers
Quantum-interference-induced pairing in bosonic doped antiferromagnets
Hao-Kai Zhang, Jia-Xin Zhang, Ji-Si Xu +2
The pairing mechanism in doped antiferromagnets is essential for understanding high-temperature superconductivity. In this work, we investigate the pairing mechanism in bosonic dop…
Boundary-Aware Proposal Generation Method for Temporal Action Localization
Hao Zhang, Chunyan Feng, Jiahui Yang +2
The goal of Temporal Action Localization (TAL) is to find the categories and temporal boundaries of actions in an untrimmed video. Most TAL methods rely heavily on action recogniti…
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
Haoxuan Zhang, Haisheng Li, Nan Li +1
With the development of computational fluid dynamics, the requirements for the fluid simulation accuracy in industrial applications have also increased. The quality of the generate…
LMDX: Language Model-based Document Information Extraction and Localization
Vincent Perot, Kai Kang, Florian Luisier +9
Large Language Models (LLM) have revolutionized Natural Language Processing (NLP), improving state-of-the-art and exhibiting emergent capabilities across various tasks. However, th…
Strong Pairing Originated from an Emergent Berry Phase in LaNiO
Jia-Xin Zhang, Hao-Kai Zhang, Yi-Zhuang You +1
The recent discovery of high-temperature superconductivity in LaNiO offers a fresh platform for exploring unconventional pairing mechanisms. Starting with the basic arg…
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Chen-Yu Lee, Chun-Liang Li, Hao Zhang +13
The recent advent of self-supervised pre-training techniques has led to a surge in the use of multimodal learning in form document understanding. However, existing approaches that…
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri +1
We introduce a novel method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring…
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images
Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu +1
We introduce the first active learning (AL) model for high-accuracy instance segmentation of moveable parts from RGB images of real indoor scenes. Specifically, our goal is to obta…
See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning
Zhenfang Chen, Qinhong Zhou, Yikang Shen +3
Large pre-trained vision and language models have demonstrated remarkable capacities for various tasks. However, solving the knowledge-based visual reasoning tasks remains challeng…
DCSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Fenggen Yu, Qimin Chen, Maham Tanveer +2
We present DCSG, a neural model composed of two dual and complementary network branches, with dropouts, for unsupervised learning of compact constructive solid geometry (CSG) r…
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling
Fenggen Yu, Yiming Qian, Francisca Gil-Ureta +3
We present the first active learning tool for fine-grained 3D part labeling, a problem which challenges even the most advanced deep learning (DL) methods due to the significant str…
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang +1
Generating realistic motions for digital humans is a core but challenging part of computer animations and games, as human motions are both diverse in content and rich in styles. Wh…
Pair density wave characterized by a hidden string order parameter
Hao-Kai Zhang, Rong-Yang Sun, Zheng-Yu Weng
A composite pairing structure of superconducting state is revealed by density matrix renormalization group study in a two-leg - model. The pairing order parameter is composed…
ARO-Net: Learning Implicit Fields from Anchored Radial Observations
Yizhi Wang, Zeyu Huang, Ariel Shamir +3
We introduce anchored radial observations (ARO), a novel shape encoding for learning implicit field representation of 3D shapes that is category-agnostic and generalizable amid sig…
Quality-Cost Trade-off on Constructing Logical Views for Vehicular Cyber-Physical Systems: A Deep Reinforcement Learning Approach
Junyuan Wu, Xincao Xu, Chuzhao Li +3
With the development of sensing technologies, vehicle-to-everything (V2X) communications, edge computing paradigm, vehicular cyber-physical systems (VCPS) are emerging as the most…
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang +1
Generating realistic motions for digital humans is time-consuming for many graphics applications. Data-driven motion synthesis approaches have seen solid progress in recent years t…
CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
Haozheng Zhang, Edmond S. L. Ho, Hubert P. H. Shum
Early prediction is clinically considered one of the essential parts of cerebral palsy (CP) treatment. We propose to implement a low-cost and interpretable classification system fo…
Prompt Tuning with Soft Context Sharing for Vision-Language Models
Kun Ding, Ying Wang, Pengzhang Liu +4
Vision-language models have recently shown great potential on many tasks in computer vision. Meanwhile, prior work demonstrates prompt tuning designed for vision-language models co…
Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Video
Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang +1
Parkinson's disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural…
Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP
Zhicai Wang, Yanbin Hao, Xingyu Gao +4
Vision multi-layer perceptrons (MLPs) have shown promising performance in computer vision tasks, and become the main competitor of CNNs and vision Transformers. They use token-mixi…
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Haozheng Zhang, Hubert P. H. Shum, Edmond S. L. Ho
Early diagnosis and intervention are clinically considered the paramount part of treating cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic…
Gated Domain-Invariant Feature Disentanglement for Domain Generalizable Object Detection
Haozhuo Zhang, Huimin Yu, Yuming Yan +1
For Domain Generalizable Object Detection (DGOD), Disentangled Representation Learning (DRL) helps a lot by explicitly disentangling Domain-Invariant Representations (DIR) from Dom…
Two-Hole Ground State: Dichotomy in Pairing Symmetry
Jing-Yu Zhao, Shuai A. Chen, Hao-Kai Zhang +1
A single-hole ground state Ansatz for the two-dimensional t-J model has been recently studied by the variational Monte Carlo (VMC) method. Such a doped hole behaves like a "twisted…
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin, Pengdi Huang, Chi-Wing Fu +3
We present a novel attention-based mechanism to learn enhanced point features for point cloud processing tasks, e.g., classification and segmentation. Unlike prior works, which wer…