Search Results for author: Yang Chen

Found 187 papers, 58 papers with code

Exploring Transferable Homogeneous Groups for Compositional Zero-Shot Learning

no code implementations18 Jan 2025 Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen

HGRL seeks to achieve a balance between semantic transferability and discriminability by adaptively discovering and aggregating categories with shared properties, learning distributed group centers that retain group-specific discriminative features.

Compositional Zero-Shot Learning Representation Learning

Towards Robust and Realistic Human Pose Estimation via WiFi Signals

1 code implementation16 Jan 2025 Yang Chen, Jingcai Guo, Song Guo, Jingren Zhou, DaCheng Tao

Robust WiFi-based human pose estimation is a challenging task that bridges discrete and subtle WiFi signals to human skeletons.

3D Human Pose Estimation Contrastive Learning +2

DynamicFace: High-Quality and Consistent Video Face Swapping using Composable 3D Facial Priors

no code implementations15 Jan 2025 Runqi Wang, Sijie Xu, Tianyao He, Yang Chen, Wei Zhu, Dejia Song, Nemo Chen, Xu Tang, Yao Hu

We propose a novel method DynamicFace that leverages the power of diffusion model and plug-and-play temporal layers for video face swapping.

Face Swapping

A Large-Scale Study on Video Action Dataset Condensation

no code implementations30 Dec 2024 Yang Chen, Sheng Guo, LiMin Wang

Specifically, our work delves into three key aspects to provide valuable empirical insights: (1) temporal processing of video data, (2) establishing a comprehensive evaluation protocol for video dataset condensation, and (3) adaptation of condensation methods to the space-time domain and fair comparisons among them.

Action Recognition Dataset Condensation +2

Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes

no code implementations30 Dec 2024 Yang Chen, Chih-Li Sung, Arpan Kusari, Xiaoyang Song, Wenbo Sun

Deep neural networks (DNNs) are often constructed under the closed-world assumption, which may fail to generalize to the out-of-distribution (OOD) data.

Gaussian Processes Image Classification +2

MoPD: Mixture-of-Prompts Distillation for Vision-Language Models

no code implementations26 Dec 2024 Yang Chen, Shuai Fu, Yu Zhang

Extensive experiments demonstrate that the proposed MoPD method outperforms state-of-the-art baselines especially on on unseen classes.

On the Generalization Ability of Machine-Generated Text Detectors

1 code implementation23 Dec 2024 Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He

The rise of large language models (LLMs) has raised concerns about machine-generated text (MGT), including ethical and practical issues like plagiarism and misinformation.

Benchmarking Misinformation

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

no code implementations19 Dec 2024 Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

In this paper, we introduce AceMath, a suite of frontier math models that excel in solving complex math problems, along with highly effective reward models capable of evaluating generated solutions and reliably identifying the correct ones.

Math

Transferable and Forecastable User Targeting Foundation Model

no code implementations17 Dec 2024 Bin Dou, Baokun Wang, Yun Zhu, Xiaotong LIN, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong

User targeting, the process of selecting targeted users from a pool of candidates for non-expert marketers, has garnered substantial attention with the advancements in digital marketing.

Marketing model +1

Reconstructing Quantitative Cerebral Perfusion Images Directly From Measured Sinogram Data Acquired Using C-arm Cone-Beam CT

no code implementations6 Dec 2024 Haotian Zhao, Ruifeng Chen, Jing Yan, Juan Feng, Jun Xiang, Yang Chen, Dong Liang, Yinsheng Li

The purpose of this work is to simultaneously address these two challenges by combining the two cascaded steps into a single joint optimization problem and reconstructing quantitative perfusion images directly from the measured sinogram data.

Image Reconstruction

Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem

no code implementations30 Nov 2024 Christina Runkel, Sinan Xiao, Nicolas Boullé, Yang Chen

Liquid composites moulding is an important manufacturing technology for fibre reinforced composites, due to its cost-effectiveness.

Operator learning

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

no code implementations18 Nov 2024 Yang Chen, Jingcai Guo, Song Guo, DaCheng Tao

To address these issues, we propose a novel dyNamically Evolving dUal skeleton-semantic syneRgistic framework with the guidance of cOntext-aware side informatioN (dubbed Neuron), to explore more fine-grained cross-modal correspondence from micro to macro perspectives at both spatial and temporal levels, respectively.

Action Recognition

Physics-informed Partitioned Coupled Neural Operator for Complex Networks

no code implementations28 Oct 2024 Weidong Wu, Yong Zhang, Lili Hao, Yang Chen, Xiaoyan Sun, Dunwei Gong

Compared to the existing Fourier Neural Operator (FNO), this method designs a joint convolution operator within the Fourier layer, enabling global integration capturing all sub-regions.

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization

no code implementations11 Oct 2024 Yang Chen, Yitao Liang, Zhouchen Lin

We also propose a principle for position embedding design to handle both the inherent LDHD generalization and the nuisances such as the data format.

Inductive Bias Position

RoRA-VLM: Robust Retrieval-Augmented Vision Language Models

no code implementations11 Oct 2024 Jingyuan Qi, Zhiyang Xu, Rulin Shao, Yang Chen, Jin Di, Yu Cheng, Qifan Wang, Lifu Huang

In this work, we introduce RORA-VLM, a novel and robust retrieval augmentation framework specifically tailored for VLMs, with two key innovations: (1) a 2-stage retrieval process with image-anchored textual-query expansion to synergistically combine the visual and textual information in the query and retrieve the most relevant multimodal knowledge snippets; and (2) a robust retrieval augmentation method that strengthens the resilience of VLMs against irrelevant information in the retrieved multimodal knowledge by injecting adversarial noises into the retrieval-augmented training process, and filters out extraneous visual information, such as unrelated entities presented in images, via a query-oriented visual token refinement strategy.

Retrieval

Imaging foundation model for universal enhancement of non-ideal measurement CT

1 code implementation2 Oct 2024 Yuxin Liu, Rongjun Ge, Yuting He, Zhan Wu, Chenyu You, Shuo Li, Yang Chen

However, with the reduction of imaging standards, the image quality has also been reduced, extremely limiting the clinical acceptability.

Medical Image Enhancement

TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection

no code implementations30 Sep 2024 Kaini Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li

CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks.

object-detection Object Detection

DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency

1 code implementation19 Sep 2024 Yang Chen, Yuhang Jia, Shiwan Zhao, Ziyue Jiang, Haoran Li, Jiarong Kang, Yong Qin

As text-based speech editing becomes increasingly prevalent, the demand for unrestricted free-text editing continues to grow.

Language Modeling Language Modelling +1

DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation

no code implementations11 Sep 2024 Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei

In the fine stage, DreamMesh jointly manipulates the mesh and refines the texture map, leading to high-quality triangle meshes with high-fidelity textured materials.

3D Architecture 3D Generation +2

Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models

1 code implementation11 Sep 2024 Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Chong-Wah Ngo, Tao Mei

Despite having tremendous progress in image-to-3D generation, existing methods still struggle to produce multi-view consistent images with high-resolution textures in detail, especially in the paradigm of 2D diffusion that lacks 3D awareness.

3D Generation 3D Reconstruction +3

LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection

1 code implementation26 Aug 2024 Zhongwen Yu, Qiu Guan, Jianmin Yang, Zhiqiang Yang, Qianwei Zhou, Yang Chen, Feng Chen

Firstly, by using LAE to refine feature extraction, the model can obtain more contextual information and high-resolution details from multiscale feature maps, thereby extracting detailed features of ROI in medical images while reducing the influence of noise.

Blood Cell Detection Cell Detection

Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning

no code implementations21 Aug 2024 Xinhao Chen, Chong Yang, Man Lan, Li Cai, Yang Chen, Tu Hu, Xinlin Zhuang, Aimin Zhou

Empathetic response generation endows agents with the capability to comprehend dialogue contexts and react to expressed emotions.

Diversity Empathetic Response Generation +1

Respiratory Subtraction for Pulmonary Microwave Ablation Evaluation

no code implementations8 Aug 2024 Wan Li, Xinyun Zhong, Wei Li, Song Zhang, Moheng Rong, Yan Xi, Peng Yuan, Zechen Wang, Xiaolei Jiang, Rongxi Yi, Hui Tang, Yang Chen, Chaohui Tong, Zhan Wu, Feng Wang

The experimental results confirm the effectiveness of the respiratory subtraction method and the proposed quantitative evaluation metric in assessing lung tumor treatment.

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting

no code implementations29 Jul 2024 Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, HuiYang Jian, Lintao Ma, Xingyu Lu, Jun Zhou

Despite recent advances with transformer-based forecasting models, challenges remain due to the non-stationary, nonlinear characteristics of workload time series and the long-term dependencies.

Cloud Computing Management +3

ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data

1 code implementation17 Jul 2024 Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao

An effective evaluation method for document instruction data is crucial in constructing instruction data with high efficacy, which, in turn, facilitates the training of LLMs and MLLMs for document VQA.

Question Answering Visual Question Answering

Granular Privacy Control for Geolocation with Vision Language Models

1 code implementation6 Jul 2024 Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter

Using this new dataset, we evaluate the ability of various VLMs to moderate GPT-4v geolocation conversations by determining when too much location information has been revealed.

Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning

no code implementations5 Jul 2024 Lin Wang, Yang Chen, Yongxin Guo, Xiaoying Tang

Federated Learning (FL) is gaining widespread interest for its ability to share knowledge while preserving privacy and reducing communication costs.

Federated Learning

AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization

no code implementations19 Jun 2024 Yang Chen, Bin Zhou

Graph Neural Networks(GNNs) are vulnerable to adversarial attack that cause performance degradation by adding small perturbations to the graph.

Adversarial Attack

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

no code implementations17 Jun 2024 Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu

Foundation Models (FMs) have demonstrated remarkable insights into the relational dynamics of the world, leading to the crucial question: how do these models acquire an understanding of world hybrid relations?

Entity Alignment Relational Reasoning

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection

no code implementations5 Jun 2024 Ruituo Wu, Yang Chen, Jian Xiao, Bing Li, Jicong Fan, Frédéric Dufaux, Ce Zhu, Yipeng Liu

Cooperation between temporal convolutional networks (TCN) and graph convolutional networks (GCN) as a processing module has shown promising results in skeleton-based video anomaly detection (SVAD).

Anomaly Detection Dimensionality Reduction +1

Tensor Polynomial Additive Model

no code implementations5 Jun 2024 Yang Chen, Ce Zhu, Jiani Liu, Yipeng Liu

Additive models can be used for interpretable machine learning for their clarity and simplicity.

Additive models Decision Making +2

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning

1 code implementation31 May 2024 Yang Chen, Tian He, Junfeng Fu, Ling Wang, Jingcai Guo, Ting Hu, Hong Cheng

To address these challenges, we introduce a novel skeleton-based training framework (C$^2$VL) based on Cross-modal Contrastive learning that uses the progressive distillation to learn task-agnostic human skeleton action representation from the Vision-Language knowledge prompts.

Action Recognition Contrastive Learning +4

Seamless Integration and Implementation of Distributed Contact and Contactless Vital Sign Monitoring

no code implementations24 May 2024 Dingding Liang, Yang Chen, Jiawei Gao, Taixia Shi, Jianping Yao

In contact vital sign monitoring, the chest wall movement due to respiration and heartbeat is translated into changes in the optical output intensity of a fiber Bragg grating (FBG).

DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction

no code implementations27 Apr 2024 Chenhe Du, Xiyue Lin, Qing Wu, Xuanyu Tian, Ying Su, Zhe Luo, Rui Zheng, Yang Chen, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang

Additionally, it effectively augments the feasibility of the solution space for the inverse problem through the generative diffusion model, resulting in increased stability and precision in the solutions.

Computed Tomography (CT) CT Reconstruction +2

HOIN: High-Order Implicit Neural Representations

no code implementations23 Apr 2024 Yang Chen, Ruituo Wu, Yipeng Liu, Ce Zhu

Implicit neural representations (INR) suffer from worsening spectral bias, which results in overly smooth solutions to the inverse problem.

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition

no code implementations11 Apr 2024 Yang Chen, Jingcai Guo, Tian He, Ling Wang

However, previous works focus on establishing the bridges between the known skeleton representation space and semantic descriptions space at the coarse-grained level for recognizing unknown action categories, ignoring the fine-grained alignment of these two spaces, resulting in suboptimal performance in distinguishing high-similarity action categories.

Action Recognition Attribute +2

Seamlessly merging radar ranging/imaging, wireless communications, and spectrum sensing, for 6G empowered by microwave photonics

no code implementations8 Apr 2024 Taixia Shi, Yang Chen, Jianping Yao

Integration of radar, wireless communications, and spectrum sensing is being investigated for 6G with an increased spectral efficiency.

VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation

no code implementations CVPR 2024 Yang Chen, Yingwei Pan, Haibo Yang, Ting Yao, Tao Mei

In this work, we introduce a novel Visual Prompt-guided text-to-3D diffusion model (VP3D) that explicitly unleashes the visual appearance knowledge in 2D visual prompt to boost text-to-3D generation.

3D Generation NeRF +2

RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN

no code implementations25 Mar 2024 Ziheng Deng, Hua Chen, Yongzheng Zhou, Haibo Hu, Zhiyong Xu, Jiayuan Sun, Tianling Lyu, Yan Xi, Yang Chen, Jun Zhao

We find that streak artifacts exhibit a unique rotational motion along with the patient's respiration, distinguishable from diaphragm-driven respiratory motion in the spatiotemporal domain.

Image Reconstruction

FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder

no code implementations11 Mar 2024 Yang Chen, Dustin J. Kempton, Rafal A. Angryk

While the Fr\'{e}chet Inception Distance (FID) serves as the standard metric for evaluating generative models in image synthesis, a comparable metric for time series data is notably absent.

Image Generation Time Series

SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data

no code implementations9 Mar 2024 Ming Zheng, Yang Yang, Zhi-Hang Zhao, Shan-Chao Gan, Yang Chen, Si-Kai Ni, Yang Lu

In the current oversampling methods based on generative networks, the methods based on GANs can capture the true distribution of data, but there is the problem of pattern collapse and training instability in training; in the oversampling methods based on denoising diffusion probability models, the neural network of the inverse diffusion process using the U-Net is not applicable to tabular data, and although the MLP can be used to replace the U-Net, the problem exists due to the simplicity of the structure and the poor effect of removing noise.

Denoising

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery

no code implementations29 Feb 2024 Yang Chen, Yitao Liang, Zhouchen Lin

Causality has been combined with machine learning to produce robust representations for domain generalization.

Causal Discovery Domain Generalization +1

Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas

no code implementations27 Feb 2024 Chunjiang Mu, Hao Guo, Yang Chen, Chen Shen, Shuyue Hu, Zhen Wang

Third, we review the emergent field of leveraging AI agents to enhance cooperation among humans.

Constrained Decoding for Cross-lingual Label Projection

1 code implementation5 Feb 2024 Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu

Therefore, it is common to exploit translation and label projection to further improve the performance by (1) translating training data that is available in a high-resource language (e. g., English) together with the gold labels into low-resource languages, and/or (2) translating test data in low-resource languages to a high-source language to run inference on, then projecting the predicted span-level labels back onto the original test data.

Event Argument Extraction named-entity-recognition +5

Fully Sparse 3D Occupancy Prediction

3 code implementations28 Dec 2023 Haisong Liu, Yang Chen, Haiguang Wang, Zetong Yang, Tianyu Li, Jia Zeng, Li Chen, Hongyang Li, LiMin Wang

SparseOcc initially reconstructs a sparse 3D representation from camera-only inputs and subsequently predicts semantic/instance occupancy from the 3D sparse representation by sparse queries.

Autonomous Driving

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

1 code implementation19 Dec 2023 Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin

Based on this process, we introduce SGAS, a model for part editing that employs two strategies: feature disentanglement and constraint.

Disentanglement Diversity +1

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

no code implementations28 Nov 2023 Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen

Existing information retrieval (IR) models often assume a homogeneous format, limiting their applicability to diverse user needs, such as searching for images with text descriptions, searching for a news article with a headline image, or finding a similar photo with a query image.

Benchmarking Information Retrieval +2

Automatic Identification of Driving Maneuver Patterns using a Robust Hidden Semi-Markov Models

no code implementations13 Nov 2023 Matthew Aguirre, Wenbo Sun, Jionghua, Jin, Yang Chen

There is an increase in interest to model driving maneuver patterns via the automatic unsupervised clustering of naturalistic sequential kinematic driving data.

Clustering

Control3D: Towards Controllable Text-to-3D Generation

no code implementations9 Nov 2023 Yang Chen, Yingwei Pan, Yehao Li, Ting Yao, Tao Mei

In particular, a 2D conditioned diffusion model (ControlNet) is remoulded to guide the learning of 3D scene parameterized as NeRF, encouraging each view of 3D scene aligned with the given text prompt and hand-drawn sketch.

3D Generation NeRF +1

3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models

1 code implementation9 Nov 2023 Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Tao Mei

In this work, we propose a new 3DStyle-Diffusion model that triggers fine-grained stylization of 3D meshes with additional controllable appearance and geometric guidance from 2D Diffusion models.

Image Generation

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

1 code implementation3 Nov 2023 Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, ZiFan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong

This has sparked significant interest in applying LLMs to enhance various aspects of healthcare, ranging from medical education to clinical decision support.

Reducing the impact of non-ideal PRBS on microwave photonic random demodulators by low biasing the optical modulator via PRBS amplitude compression

no code implementations26 Oct 2023 Shiyang Liu, Yang Chen

Different from the commonly used method that switches the bias point of the optical modulator in the RD between two quadrature transmission points to mix the signal to be sampled and the PRBS, this method employs a PRBS with lower amplitude to low bias the optical modulator so that the impact of non-ideal PRBS on microwave photonic RDs can be greatly reduced by compressing the amplitude of non-ideal parts of the PRBS.

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks

no code implementations24 Oct 2023 Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao

We use a momentum gradient mechanism to choose the attack node features in the feature selection module.

feature selection

Automated Bug Generation in the era of Large Language Models

no code implementations3 Oct 2023 Ali Reza Ibrahimzada, Yang Chen, Ryan Rong, Reyhaneh Jabbarvand

From the classic software engineering point of view, a hard-to-repair bug differs from the correct code in multiple locations, making it hard to localize and repair.

Program Repair

Can Language Models be Instructed to Protect Personal Information?

no code implementations3 Oct 2023 Yang Chen, Ethan Mendes, Sauvik Das, Wei Xu, Alan Ritter

While data leaks should be prevented, it is also crucial to examine the trade-off between the privacy protection and model utility of proposed approaches.

Adversarial Robustness Red Teaming

HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image

1 code implementation30 Jun 2023 Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang

Many studies adopt random sampling pre-processing strategy and WSI-level aggregation models, which inevitably lose critical prognostic information in the patient-level bag.

Multiple Instance Learning Survival Prediction +1

Meerkat Behaviour Recognition Dataset

1 code implementation20 Jun 2023 Mitchell Rogers, Gaël Gendron, David Arturo Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'Leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Witbrock, Patrice Delmas

Recording animal behaviour is an important step in evaluating the well-being of animals and further understanding the natural world.

Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret

no code implementations6 Jun 2023 Jingyang Li, Jian-Feng Cai, Yang Chen, Dong Xia

We then introduce the adaptive-oRGrad algorithm, which can achieve the optimal $O(\log T)$ regret by adaptively selecting step sizes, regardless of whether the time horizon is known.

Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift

1 code implementation1 Jun 2023 Liangxuan Guo, Yang Chen, Shan Yu

In this work, we reported a special form of catastrophic forgetting raised by the OOD problem in continual learning settings, and we named it out-of-distribution forgetting (OODF).

Continual Learning Image Classification

Channelized analog microwave short-time Fourier transform in the optical domain with improved measurement performance

no code implementations25 May 2023 Xiaowei Li, Taixia Shi, Dong Ma, Yang Chen

For the first time, channelization measurement technology is introduced in the STFT system based on frequency sweeping and FTTM, greatly reducing the frequency-sweep range of the required frequency-sweep signal to the analysis bandwidth divided by the number of channels.

Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction

1 code implementation23 May 2023 Yang Chen, Vedaant Shah, Alan Ritter

Large language models (LLMs) combined with instruction tuning have shown significant progress in information extraction (IE) tasks, exhibiting strong generalization capabilities to unseen datasets by following annotation guidelines.

Decoder Low Resource Named Entity Recognition +5

Neuromodulation Gated Transformer

1 code implementation5 May 2023 Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen

We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect.

Emergence of Symbols in Neural Networks for Semantic Understanding and Communication

no code implementations13 Apr 2023 Yang Chen, Liangxuan Guo, Shan Yu

The capacity to generate meaningful symbols and effectively employ them for advanced cognitive processes, such as communication, reasoning, and planning, constitutes a fundamental and distinctive aspect of human intelligence.

Boosting Verified Training for Robust Image Classifications via Abstraction

1 code implementation CVPR 2023 Zhaodi Zhang, Zhiyi Xue, Yang Chen, Si Liu, Yueling Zhang, Jing Liu, Min Zhang

Via abstraction, all perturbed images are mapped into intervals before feeding into neural networks for training.

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation

no code implementations19 Mar 2023 Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang

Four deep neural networks as sub-models following the U-Net architecture were trained for the segmenting of a region-of-interest (ROI): each sub-model utilizes the mp-MRI and 1 of the 4 PCs as a 5-channel input for a 2D execution.

Dimensionality Reduction Ensemble Learning +4

Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion

no code implementations9 Mar 2023 Xiaoxiang Han, Yang Chen, Qiaohong Liu, Yiman Liu, Keyan Chen, Yuanjie Lin, Weikun Zhang

Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities.

MRI Reconstruction SSIM

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

1 code implementation CVPR 2023 Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li

We propose a novel visual similarity learning paradigm, Geometric Visual Similarity Learning, which embeds the prior of topological invariance into the measurement of the inter-image similarity for consistent representation of semantic regions.

Geometric Matching Representation Learning

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

2 code implementations23 Feb 2023 Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang

In this study, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with only common sense knowledge.

Open-Domain Question Answering Visual Question Answering

Learning Density-Based Correlated Equilibria for Markov Games

no code implementations16 Feb 2023 Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu

In real-world multi-agent systems, in addition to being in an equilibrium, agents' policies are often expected to meet requirements with respect to safety, and fairness.

Fairness

MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model

no code implementations11 Feb 2023 Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu

Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks.

blind source separation Non-Intrusive Load Monitoring

Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments

1 code implementation19 Dec 2022 Ethan Mendes, Yang Chen, Wei Xu, Alan Ritter

We present a human-in-the-loop evaluation framework for fact-checking novel misinformation claims and identifying social media messages that support them.

Fact Checking Misinformation

Incorporating Polar Field Data for Improved Solar Flare Prediction

no code implementations4 Dec 2022 Mehmet Aktukmak, Zeyu Sun, Monica Bobra, Tamas Gombosi, Ward B. Manchester, Yang Chen, Alfred Hero

In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning models.

Solar Flare Prediction

Frustratingly Easy Label Projection for Cross-lingual Transfer

2 code implementations28 Nov 2022 Yang Chen, Chao Jiang, Alan Ritter, Wei Xu

Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer.

Cross-Lingual NER NER +4

tf.data service: A Case for Disaggregating ML Input Data Processing

no code implementations26 Oct 2022 Andrew Audibert, Yang Chen, Dan Graur, Ana Klimovic, Jiri Simsa, Chandramohan A. Thekkath

To avoid data stalls, the host CPU and RAM required for input data processing per accelerator core used for ML computations varies across jobs.

Robust prescribed-time coordination control of cooperative-antagonistic networks with disturbances

no code implementations20 Oct 2022 Zhen-Hua Zhu, Huaiyu Wu, Zhi-Hong Guan, Zhi-Wei Liu, Yang Chen, Xiujuan Zheng

This article targets at addressing the robust prescribed-time coordination control (PTCC) problems for single-integrator cooperative-antagonistic networks (CANs) with external disturbances under arbitrary fixed signed digraphs without any structural constraints.

Prompt-based Conservation Learning for Multi-hop Question Answering

no code implementations COLING 2022 Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle

In this paper, we propose the Prompt-based Conservation Learning (PCL) framework for multi-hop QA, which acquires new knowledge from multi-hop QA tasks while conserving old knowledge learned on single-hop QA tasks, mitigating forgetting.

Multi-hop Question Answering Question Answering

View Sub-sampling and Reconstruction for Efficient Light Field Compression

no code implementations12 Aug 2022 Yang Chen, Martin Alain, Aljosa Smolic

In this work, we study different sub-sampling and reconstruction strategies for light field compression.

Breaking the accuracy and resolution limitation of filter- and frequency-to-time mapping-based time and frequency acquisition methods by broadening the filter bandwidth

no code implementations9 Aug 2022 Pengcheng Zuo, Dong Ma, Xiaowei Li, Yang Chen

In this paper, the filter- and frequency-to-time mapping (FTTM)-based photonics-assisted time and frequency acquisition methods are comprehensively analyzed and the accuracy and resolution limitation in the fast sweep scenario is broken by broadening the filter bandwidth.

Photonics-assisted analog wideband self-interference cancellation for in-band full-duplex MIMO systems with adaptive digital amplitude and delay pre-matching

no code implementations3 Aug 2022 Taixia Shi, Yang Chen

A photonics-assisted analog wideband RF self-interference (SI) cancellation and frequency downconversion approach for in-band full-duplex (IBFD) multiple-input multiple-output (MIMO) systems with adaptive digital amplitude and delay pre-matching is proposed based on a dual-parallel Mach-Zehnder modulator (DP-MZM).

Digitally-assisted photonic analog domain self-interference cancellation for in-band full-duplex MIMO systems via LS algorithm with adaptive order

no code implementations3 Aug 2022 Moxuan Han, Yang Chen

The SIC and frequency downconversion are achieved in the optical domain via a dual-parallel Mach-Zehnder modulator (DP-MZM), while the downconverted signal is processed by the LS algorithm with adaptive order that is used to track the response of the multipath self-interference (SI) channel and reconstruct the reference signal for SIC.

Short-term Load Forecasting with Distributed Long Short-Term Memory

no code implementations1 Aug 2022 Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang

With the employment of smart meters, massive data on consumer behaviour can be collected by retailers.

Load Forecasting

MetaComp: Learning to Adapt for Online Depth Completion

no code implementations21 Jul 2022 Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, Liping Xie

However, facing a new environment where the test data occurs online and differs from the training data in the RGB image content and depth sparsity, the trained model might suffer severe performance drop.

Depth Completion Meta-Learning +1

Multiple Instance Learning with Mixed Supervision in Gleason Grading

1 code implementation26 Jun 2022 Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang

We achieve the state-of-the-art performance on the SICAPv2 dataset, and the visual analysis shows the accurate prediction results of instance level.

Multiple Instance Learning whole slide images

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

1 code implementation23 Jun 2022 Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.

Conditional Image Generation Denoising

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering

no code implementations16 Jun 2022 Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle

We then achieve the decomposition of a multi-hop question via segmentation of the corresponding AMR graph based on the required reasoning type.

Abstract Meaning Representation AMR-to-Text Generation +3

Graph Fourier transform based on singular value decomposition of directed Laplacian

no code implementations12 May 2022 Yang Chen, Cheng Cheng, Qiyu Sun

The proposed GFT is consistent with the conventional GFT in the undirected graph setting, and on directed circulant graphs, the proposed GFT is the classical discrete Fourier transform, up to some rotation, permutation and phase adjustment.

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

2 code implementations10 May 2022 Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li

The nature of thick-slice scanning causes severe inter-slice discontinuities of 3D medical images, and the vanilla 2D/3D convolutional neural networks (CNNs) fail to represent sparse inter-slice information and dense intra-slice information in a balanced way, leading to severe underfitting to inter-slice features (for vanilla 2D CNNs) and overfitting to noise from long-range slices (for vanilla 3D CNNs).

Image Segmentation Medical Image Segmentation +1

Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data

1 code implementation7 Apr 2022 Zeyu Sun, Monica G. Bobra, Xiantong Wang, Yu Wang, Hu Sun, Tamas Gombosi, Yang Chen, Alfred Hero

We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that do not produce any flare within $\pm 24$ hours.

Attribute

Proximal PanNet: A Model-Based Deep Network for Pansharpening

no code implementations12 Feb 2022 Xiangyong Cao, Yang Chen, Wenfei Cao

To alleviate this issue, we propose a novel deep network for pansharpening by combining the model-based methodology with the deep learning method.

Deep Learning Pansharpening

Photonics-Assisted Joint Communication-Radar System Based on a QPSK-Sliced Linearly Frequency-Modulated Signal

no code implementations28 Jan 2022 Shi Wang, Dingding Liang, Yang Chen

A photonics-assisted joint communication-radar system is proposed and experimentally demonstrated, by introducing a quadrature phase-shift keying (QPSK)-sliced linearly frequency-modulated (LFM) signal.

Time-varying microwave photonic filter for arbitrary waveform signal-to-noise ratio improvement

no code implementations27 Jan 2022 Dong Ma, Yang Chen

A time-varying microwave photonic filter (TV-MPF) based on stimulated Brillouin scattering (SBS) is proposed and utilized to suppress the in-band noise of broadband arbitrary microwave waveforms, thereby improving the signal-to-noise ratio (SNR).

Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning

no code implementations28 Dec 2021 Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi

The progressive enhancement process facilitates the learning of discriminative features with fine-grained face forgery clues.

Transferrable Contrastive Learning for Visual Domain Adaptation

no code implementations14 Dec 2021 Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei

From this point, we present a particular paradigm of self-supervised learning tailored for domain adaptation, i. e., Transferrable Contrastive Learning (TCL), which links the SSL and the desired cross-domain transferability congruently.

Contrastive Learning Domain Adaptation +2

A Style and Semantic Memory Mechanism for Domain Generalization

no code implementations ICCV 2021 Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei

Correspondingly, we also propose a novel "jury" mechanism, which is particularly effective in learning useful semantic feature commonalities among domains.

Domain Generalization

Short-time Fourier transform based on stimulated Brillouin scattering

no code implementations26 Nov 2021 Pengcheng Zuo, Dong Ma, Yang Chen

In the proposed all-optical STFT system, SBS not only provides a band-pass filter for implementing the window function in conjunction with a periodic frequency-sweep optical signal but also obtains the frequency domain information in different time windows through the generated waveform via frequency-to-time mapping (FTTM).

Digital-assisted photonic analog wideband multipath self-interference cancellation

no code implementations12 Nov 2021 Moxuan Han, Taixia Shi, Yang Chen

The proposed method can solve the performance limitation in the previously reported SIC methods of constructing the multipath SI signal using a single reference caused by the limited dynamic range of the digital-to-analog converter when the direct-path SI signal is much stronger than the sub-weak reflection-path SI signals.

Photonics-assisted wideband RF self-interference cancellation with digital domain amplitude and delay pre-matching

no code implementations7 Sep 2021 Taixia Shi, Moxuan Han, Yang Chen

One dual-drive Mach-Zehnder modulator is used to implement the analog self-interference cancellation by pre-adjusting the delay and amplitude of the reference signal applied to the dual-drive Mach-Zehnder modulator in the digital domain.

Time-frequency analysis of microwave signals based on stimulated Brillouin scattering

no code implementations7 Sep 2021 Dong Ma, Pengcheng Zuo, Yang Chen

The parallel SBS link can be utilized to perform real-time time-frequency analysis of microwave signal, which provides a promising solution for real-time time-frequency analysis, especially when it is combined with the photonic integration technique.

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

no code implementations4 Sep 2021 Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma

To address this issue, we term this task as a Spatial-Temporal Inconsistency Learning (STIL) process and instantiate it into a novel STIL block, which consists of a Spatial Inconsistency Module (SIM), a Temporal Inconsistency Module (TIM), and an Information Supplement Module (ISM).

Binary Classification Face Swapping

Photonic-enabled radio-frequency self-interference cancellation incorporated in an in-band full-duplex radio-over-fiber system

no code implementations1 Sep 2021 Taixia Shi, Yu Chen, Yang Chen

A photonic approach for radio-frequency (RF) self-interference cancellation (SIC) incorporated in an in-band full-duplex radio-over-fiber system is proposed.

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation

no code implementations8 Jun 2021 Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li

3)We propose the adversarial weighted ensemble module which uses the trained discriminators to evaluate the quality of segmented structures, and normalizes these evaluation scores for the ensemble weights directed at the input image, thus enhancing the ensemble results.

Ensemble Learning Segmentation

Multi-functional microwave photonic radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging

no code implementations27 May 2021 Dingding Liang, Lizhong Jiang, Yang Chen

A photonic-assisted multi-functional radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging is proposed and experimentally demonstrated by using a composite transmitted microwave signal of a single-chirped linearly frequency-modulated (LFM) signal and a single-tone microwave signal.

Towards Synthetic Multivariate Time Series Generation for Flare Forecasting

no code implementations16 May 2021 Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk

We utilize a flare forecasting benchmark dataset, named SWAN-SF, and design two verification methods to both quantitatively and qualitatively evaluate the similarity between the generated minority and the ground-truth samples.

Generative Adversarial Network Synthetic Data Generation +3

Local Relation Learning for Face Forgery Detection

no code implementations6 May 2021 Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji

Specifically, we propose a Multi-scale Patch Similarity Module (MPSM), which measures the similarity between features of local regions and forms a robust and generalized similarity pattern.

Relation

Adversarial Inverse Reinforcement Learning for Mean Field Games

no code implementations29 Apr 2021 Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock

However, existing IRL methods for MFGs are powerless to reason about uncertainties in demonstrated behaviours of individual agents.

reinforcement-learning Reinforcement Learning +1

Multiple radio frequency measurement with an improved frequency resolution based on stimulated Brillouin scattering with a reduced gain bandwidth

no code implementations23 Apr 2021 Taixia Shi, Yang Chen

The unknown RF signal is also SSB modulated on a carrier that has been modulated by a sweep signal, thus the unknown RF signal is converted to a sweep optical signal along with the sweep optical carrier.

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

5 code implementations18 Apr 2021 Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li

In this paper, we propose a CLIP4Clip model to transfer the knowledge of the CLIP model to video-language retrieval in an end-to-end manner.

Text Retrieval Text to Video Retrieval +3

Topologically protected valley-dependent quantum photonic circuits

no code implementations11 Mar 2021 Yang Chen, Xin-Tao He, Yu-Jie Cheng, Hao-Yang Qiu, Lan-Tian Feng, Ming Zhang, Dao-Xin Dai, Guang-Can Guo, Jian-Wen Dong, Xi-Feng Ren

Topological photonics has been introduced as a powerful platform for integrated optics, since it can deal with robust light transport, and be further extended to the quantum world.

Quantum Physics Optics

The Post-impact Evolution of the X-ray Emitting Gas in SNR 1987A Viewed by XMM-Newton

no code implementations5 Mar 2021 Lei Sun, Jacco Vink, Yang Chen, Ping Zhou, Dmitry Prokhorov, Gerd Puhlhofer, Denys Malyshev

In the last few years, the emission measure of the low-temperature plasma has been decreasing, indicating that the blast wave has left the main ER.

High Energy Astrophysical Phenomena

On the hard $γ$-ray spectrum of the potential PeVatron supernova remnant G106.3+2.7

no code implementations2 Mar 2021 Yiwei Bao, Yang Chen

The Tibet AS$\gamma$ experiment has measured $\gamma$-ray flux of supernova remnant G106. 3+2. 7 up to 100 TeV, suggesting it {being} potentially a "PeVatron".

High Energy Astrophysical Phenomena

Revealing a peculiar supernova remnant G106.3+2.7 as a petaelectronvolt proton accelerator with X-ray observations

no code implementations21 Dec 2020 Chong Ge, Ruo-Yu Liu, Shu Niu, Yang Chen, Xiang-Yu Wang

Supernova remnants (SNRs) have long been considered as one of the most promising sources of Galactic cosmic rays.

High Energy Astrophysical Phenomena

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

1 code implementation13 Dec 2020 Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou

Compressed sensing (CS) computed tomography has been proven to be important for several clinical applications, such as sparse-view computed tomography (CT), digital tomosynthesis and interior tomography.

Computed Tomography (CT) CT Reconstruction +2

Model Selection for Cross-Lingual Transfer

1 code implementation EMNLP 2021 Yang Chen, Alan Ritter

Transformers that are pre-trained on multilingual corpora, such as, mBERT and XLM-RoBERTa, have achieved impressive cross-lingual transfer capabilities.

Meta-Learning model +3

Model Selection for Cross-Lingual Transfer using a Learned Scoring Function

no code implementations28 Sep 2020 Yang Chen, Alan Ritter

In the zero-shot cross-lingual transfer setting, only English training data is assumed, and the fine-tuned model is evaluated on another target language.

Model Selection Transfer Learning +1

Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

5 code implementations27 Sep 2020 Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu

Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications.

FTN: Foreground-Guided Texture-Focused Person Re-Identification

no code implementations24 Sep 2020 Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao

Person re-identification (Re-ID) is a challenging task as persons are often in different backgrounds.

Decoder Person Re-Identification

Remote sensing image fusion based on Bayesian GAN

no code implementations20 Sep 2020 Junfu Chen, Yue Pan, Yang Chen

Remote sensing image fusion technology (pan-sharpening) is an important means to improve the information capacity of remote sensing images.

Bayesian Inference Generative Adversarial Network +1

Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection

1 code implementation28 Aug 2020 Yang Chen, Nami Ashizawa, Seanglidet Yean, Chai Kiat Yeo, Naoto Yanai

In this paper, we propose a self-organizing map assisted deep autoencoding Gaussian mixture model (SOMDAGMM) supplemented with well-preserved input space topology for more accurate network intrusion detection.

Network Intrusion Detection

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

5 code implementations14 Aug 2020 Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shan-Shan Wang, Dong Liang, Qiegen Liu

Deep learning, particularly the generative model, has demonstrated tremendous potential to significantly speed up image reconstruction with reduced measurements recently.

Denoising MRI Reconstruction

Self-supervised Light Field View Synthesis Using Cycle Consistency

no code implementations12 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

In order to enhance the angular resolution of light fields, view synthesis methods can be utilized to generate dense intermediate views from sparse light field input.

Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields

no code implementations11 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much more information about the angular direction of light rays compared to common approaches based on stereoscopic images or multi-view.

Depth Estimation Optical Flow Estimation

A Study of Efficient Light Field Subsampling and Reconstruction Strategies

no code implementations11 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

Limited angular resolution is one of the main obstacles for practical applications of light fields.

Super-Resolution

Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

no code implementations ECCV 2020 Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li

Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region constraints from segmentation) to bring mutual improvement in complex scene and few-shot situation.

Diversity Image Registration +2

SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization

no code implementations30 Jul 2020 Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck

We build a prototype system based on our method, SMAP, to support the organization, computation, and exploration of secure joint embedding.

Dimensionality Reduction

A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization

1 code implementation13 Jul 2020 Daniel Iong, Qingyuan Zhao, Yang Chen

Existing MR methods usually assume most genetic variants are valid instrumental variables that identify a common causal effect.

Applications Methodology

Marginal loss and exclusion loss for partially supervised multi-organ segmentation

no code implementations8 Jul 2020 Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou

Annotating multiple organs in medical images is both costly and time-consuming; therefore, existing multi-organ datasets with labels are often low in sample size and mostly partially labeled, that is, a dataset has a few organs labeled but not all organs.

Organ Segmentation Segmentation

PoPE: A population-based approach to model spatial structure of astronomical systems

1 code implementation29 Jun 2020 Arya Farahi, Daisuke Nagai, Yang Chen

We present a novel population-based Bayesian inference approach to model the average and population variance of spatial distribution of a set of observables from ensemble analysis of low signal-to-noise ratio measurements.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Chemical abundances in Sgr A East: evidence for a type Iax supernova remnant

no code implementations26 Jun 2020 Ping Zhou, Shing-Chi Leung, Zhiyuan Li, Ken'ichi Nomoto, Jacco Vink, Yang Chen

We report evidence that SNR Sgr A East in the Galactic center resulted from a pure turbulent deflagration of a Chandrasekhar-mass carbon-oxygen WD, an explosion mechanism used for type Iax SNe.

High Energy Astrophysical Phenomena