Search Results for author: Dan Zhang

Found 42 papers, 16 papers with code

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

no code implementations20 Apr 2023 Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

Large-scale pre-trained models have achieved remarkable success in a variety of scenarios and applications, but how to leverage them to improve the prediction reliability of downstream models is undesirably under-explored.

High Dynamic Range Imaging with Context-aware Transformer

no code implementations10 Apr 2023 Fangfang Zhou, Dan Zhang, Zhenming Fu

In each Dual Transformer (DT), the global features are extracted by the window-based Transformer, while the local details are extracted using the channel attention mechanism with deformable CNNs.

Deblurring Vocal Bursts Intensity Prediction

MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network

1 code implementation4 Apr 2023 Dan Zhang, Fangfang Zhou, Yuwen Jiang, Zhengming Fu

Our MM-BSN can be used to address the problem of large-noise denoising, which cannot be efficiently handled by other BSN methods.

Image Denoising

Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer

no code implementations4 Apr 2023 Dan Zhang, Fangfang Zhou

In this paper, we propose a novel Denoise Transformer for real-world image denoising, which is mainly constructed with Context-aware Denoise Transformer (CADT) units and Secondary Noise Extractor (SNE) block.

Image Denoising SSIM

Identification of Systematic Errors of Image Classifiers on Rare Subgroups

no code implementations9 Mar 2023 Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang

Despite excellent average-case performance of many image classifiers, their performance can substantially deteriorate on semantically coherent subgroups of the data that were under-represented in the training data.

Adversarial Attack Fairness

Learning From Yourself: A Self-Distillation Method for Fake Speech Detection

no code implementations2 Mar 2023 Jun Xue, Cunhang Fan, Jiangyan Yi, Chenglong Wang, Zhengqi Wen, Dan Zhang, Zhao Lv

To address this problem, we propose using the deepest network instruct shallow network for enhancing shallow networks.

Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference

1 code implementation19 Feb 2023 Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Zhiyuan Liu, Dan Zhang

As the large language models (LLMs) have been shown to support effective representations of various human conceptual knowledge, the present study further employed artificial neurons in LLMs to investigate the mechanism of human emotion inference.

Language Modelling

Towards Multifaceted Human-Centered AI

no code implementations9 Jan 2023 Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan

Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks.

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

no code implementations8 Jan 2023 Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka

We present MEGAnno, a novel exploratory annotation framework designed for NLP researchers and practitioners.

Sentiment Analysis

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

1 code implementation22 Dec 2022 Haiwen Huang, Andreas Geiger, Dan Zhang

We address the task of open-world class-agnostic object detection, i. e., detecting every object in an image by learning from a limited number of base object classes.

Class-agnostic Object Detection object-detection +1

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model

no code implementations2 Nov 2022 Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo

In this paper, we propose Multi-level Multilingual Knowledge Distillation (MMKD), a novel method for improving multilingual language models.

Knowledge Distillation Language Modelling +1

Intra-Source Style Augmentation for Improved Domain Generalization

1 code implementation18 Oct 2022 Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva

Using the proposed masked noise encoder to randomize style and content combinations in the training set, ISSA effectively increases the diversity of training data and reduces spurious correlation.

Autonomous Driving Domain Generalization +1

TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency

no code implementations11 Oct 2022 Dan Zhang, Rui Zheng, Luosang Gadeng, Pei Yang

Semantic segmentation is a classic computer vision problem dedicated to labeling each pixel with its corresponding category.

Autonomous Driving Semantic Segmentation

One-Shot Synthesis of Images and Segmentation Masks

1 code implementation15 Sep 2022 Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva

To this end, inspired by the recent architectural developments of single-image GANs, we introduce our OSMIS model which enables the synthesis of segmentation masks that are precisely aligned to the generated images in the one-shot regime.

Data Augmentation Image Generation +1

Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning

1 code implementation23 Aug 2022 Jinkui Hao, Ting Shen, Xueli Zhu, Yonghuai Liu, Ardhendu Behera, Dan Zhang, Bang Chen, Jiang Liu, Jiong Zhang, Yitian Zhao

Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding diseases of the eye and clinical decision-making.

Classification Decision Making +1

A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States

no code implementations26 Jul 2022 Dan Zhang, Xi Zhou, Zi-Hao Wang, Yan Peng, Shao-Rong Xie

This paper presents a novel data-driven methodology to provide a multi-step prediction of ship roll motions in high sea states.

feature selection

Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction

no code implementations25 Jul 2022 Huaying Hao, Cong Xu, Dan Zhang, Qifeng Yan, Jiong Zhang, Yue Liu, Yitian Zhao

To be more specific, we first perform a simple degradation of the 3x3 mm2/high-resolution (HR) image to obtain the synthetic LR image.

Domain Adaptation Image Super-Resolution

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

no code implementations20 Sep 2021 Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song

Contrastive learning was employed to minimize the inter-subject differences by maximizing the similarity in EEG signal representations across subjects when they received the same emotional stimuli in contrast to different ones.

Contrastive Learning Electroencephalogram (EEG) +3

BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation

no code implementations27 Jul 2021 Qi Tang, Runmin Cong, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, Sam Kwong

The other is the content guidance bridge (CGBdg) designed for the depth map reconstruction process, which provides the content guidance learned from DSR task for MDE task.

Depth Map Super-Resolution Monocular Depth Estimation +1

A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators

no code implementations26 May 2021 Dan Zhang, Safeen Huda, Ebrahim Songhori, Kartik Prabhu, Quoc Le, Anna Goldie, Azalia Mirhoseini

The rapidly-changing deep learning landscape presents a unique opportunity for building inference accelerators optimized for specific datacenter-scale workloads.

Optical Character Recognition (OCR) Scheduling

Annotating Columns with Pre-trained Language Models

1 code implementation5 Apr 2021 Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, Wang-Chiew Tan

Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing some of this information.

Columns Property Annotation Column Type Annotation +3

Generating Novel Scene Compositions from Single Images and Videos

1 code implementation24 Mar 2021 Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva

We show that SIV-GAN successfully deals with a new challenging task of learning from a single video, for which prior GAN models fail to achieve synthesis of both high quality and diversity.

Image Generation Memorization

MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN

no code implementations16 Feb 2021 Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, Qi Xuan

Magnetic induction tomography (MIT) is an efficient solution for long-term brain disease monitoring, which focuses on reconstructing bio-impedance distribution inside the human brain using non-intrusive electromagnetic fields.

Image Reconstruction

$\rm ^{83}Rb$/$\rm ^{83m}Kr$ production and cross-section measurement with 3.4 MeV and 20 MeV proton beams

no code implementations4 Feb 2021 Dan Zhang, Jingkai Xia, YiFan Li, Jingtao You, Yao Li, Changbo Fu, Jianglai Liu, Ning Zhou, Jie Bao, Huan Jia, Chenzhang Yuan, Yuan He, Weixing Xiong, Mengyun Guan

$\rm ^{83m}Kr$, with a short lifetime, is an ideal calibration source for liquid xenon or liquid argon detectors.

Nuclear Experiment Instrumentation and Detectors

You Only Need Adversarial Supervision for Semantic Image Synthesis

1 code implementation ICLR 2021 Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

By providing stronger supervision to the discriminator as well as to the generator through spatially- and semantically-aware discriminator feedback, we are able to synthesize images of higher fidelity with better alignment to their input label maps, making the use of the perceptual loss superfluous.

Image-to-Image Translation Semantic Segmentation

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning

1 code implementation ICLR 2021 Kanil Patel, William Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

The goal of this paper is to resolve the identified issues of HB in order to provide calibrated confidence estimates using only a small holdout calibration dataset for bin optimization while preserving multi-class ranking accuracy.


Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

1 code implementation NeurIPS 2020 Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang

We refine previous investigations of this failure at anomaly detection for invertible generative networks and provide a clear explanation of it as a combination of model bias and domain prior: Convolutional networks learn similar low-level feature distributions when trained on any natural image dataset and these low-level features dominate the likelihood.

Anomaly Detection

MGA: Momentum Gradient Attack on Network

no code implementations26 Feb 2020 Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, Qi Xuan

The adversarial attack methods based on gradient information can adequately find the perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of the deep learning model based graph embedding algorithms, but it is also easy to fall into a local optimum.

Social and Information Networks

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration

no code implementations16 Dec 2019 Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang

Uncertainty estimates help to identify ambiguous, novel, or anomalous inputs, but the reliable quantification of uncertainty has proven to be challenging for modern deep networks.

Adversarial Attack Data Augmentation

Sato: Contextual Semantic Type Detection in Tables

1 code implementation14 Nov 2019 Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan

Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery, and semantic search.

Column Type Annotation Information Retrieval +3

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

no code implementations9 Aug 2019 Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer

We achieve state-of-the-art pruning results for ResNet-50 with higher accuracy on ImageNet.

PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine

no code implementations17 Jun 2019 Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu

In this paper, a novel POLSAR image classification method is proposed based on polarimetric scattering coding and sparse support matrix machine.

Classification General Classification +1

Unsupervised Euclidean Distance Attack on Network Embedding

no code implementations27 May 2019 Qi Xuan, Jun Zheng, Lihong Chen, Shanqing Yu, Jinyin Chen, Dan Zhang, Qingpeng Zhang Member

Since a large number of downstream network algorithms, such as community detection and node classification, rely on the Euclidean distance between nodes to evaluate the similarity between them in the embedding space, EDA can be considered as a universal attack on a variety of network algorithms.

Social and Information Networks Physics and Society

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

1 code implementation22 Feb 2019 Jinyin Chen, Jian Zhang, Xuanheng Xu, Chengbo Fu, Dan Zhang, Qingpeng Zhang, Qi Xuan

Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science.

Link Prediction Time Series Analysis

Progressive Augmentation of GANs

1 code implementation NeurIPS 2019 Dan Zhang, Anna Khoreva

Training of Generative Adversarial Networks (GANs) is notoriously fragile, requiring to maintain a careful balance between the generator and the discriminator in order to perform well.

Image Generation

PA-GAN: Improving GAN Training by Progressive Augmentation

no code implementations27 Sep 2018 Dan Zhang, Anna Khoreva

Despite recent progress, Generative Adversarial Networks (GANs) still suffer from training instability, requiring careful consideration of architecture design choices and hyper-parameter tuning.

Image Generation

Polarimetric Convolutional Network for PolSAR Image Classification

1 code implementation9 Jul 2018 Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang

Based on sparse scattering coding and convolution neural network, the polarimetric convolutional network is proposed to classify PolSAR images by making full use of polarimetric information.

Classification General Classification +1

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

no code implementations20 Dec 2017 Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent.

Image Segmentation Tumor Segmentation

Principled Evaluation of Differentially Private Algorithms using DPBench

1 code implementation15 Dec 2015 Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang

Differential privacy has become the dominant standard in the research community for strong privacy protection.

Databases Cryptography and Security

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