Search Results for author: Weifeng Liu

Found 32 papers, 12 papers with code

Let Real Images be as a Judger, Spotting Fake Images Synthesized with Generative Models

no code implementations25 Mar 2024 Ziyou Liang, Run Wang, Weifeng Liu, Yuyang Zhang, Wenyuan Yang, Lina Wang, Xingkai Wang

Unfortunately, the artifact patterns in fake images synthesized by different generative models are inconsistent, leading to the failure of previous research that relied on spotting subtle differences between real and fake.

Contrastive Learning

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning

no code implementations21 Mar 2024 Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, DaCheng Tao

In this work, we design a two-stage fine-tuning algorithm to improve the instruction-following ability (especially the translation direction) of LLMs.

In-Context Learning Instruction Following +1

Poisson Process for Bayesian Optimization

no code implementations5 Feb 2024 Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, DaCheng Tao

BayesianOptimization(BO) is a sample-efficient black-box optimizer, and extensive methods have been proposed to build the absolute function response of the black-box function through a probabilistic surrogate model, including Tree-structured Parzen Estimator (TPE), random forest (SMAC), and Gaussian process (GP).

Bayesian Optimization Hyperparameter Optimization +2

Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes

1 code implementation28 Jan 2024 Weifeng Liu, Tianyi She, Jiawei Liu, Run Wang, Dongyu Yao, Ziyou Liang

In recent years, DeepFake technology has achieved unprecedented success in high-quality video synthesis, whereas these methods also pose potential and severe security threats to humanity.

DeepFake Detection Face Swapping

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation

1 code implementation28 Sep 2023 Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, DaCheng Tao

Zero-shot translation (ZST), which is generally based on a multilingual neural machine translation model, aims to translate between unseen language pairs in training data.

Machine Translation Navigate +2

Prompt-Learning for Cross-Lingual Relation Extraction

1 code implementation20 Apr 2023 Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu

Experiments on WMT17-EnZh XRE also show the effectiveness of our Prompt-XRE against other competitive baselines.

Relation Relation Extraction +1

Hybrid Multimodal Fusion for Humor Detection

no code implementations24 Sep 2022 Haojie Xu, Weifeng Liu, Jingwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang

Our experiments demonstrate the effectiveness of our proposed model and hybrid fusion strategy on multimodal fusion, and the AUC of our proposed model on the test set is 0. 8972.

Humor Detection

Vega-MT: The JD Explore Academy Translation System for WMT22

1 code implementation20 Sep 2022 Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, DaCheng Tao

As for model sizes, we scale the Transformer-Big up to the extremely large model that owns nearly 4. 7 Billion parameters, to fully enhance the model capacity for our Vega-MT.

Data Augmentation Machine Translation +1

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding

1 code implementation16 Apr 2022 Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, DaCheng Tao

For multilingual sequence-to-sequence pretrained language models (multilingual Seq2Seq PLMs), e. g. mBART, the self-supervised pretraining task is trained on a wide range of monolingual languages, e. g. 25 languages from CommonCrawl, while the downstream cross-lingual tasks generally progress on a bilingual language subset, e. g. English-German, making there exists the data discrepancy, namely domain discrepancy, and cross-lingual learning objective discrepancy, namely task discrepancy, between the pretraining and finetuning stages.

Cross-Lingual Natural Language Inference nlg evaluation +4

Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval

1 code implementation8 Mar 2022 Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, DaCheng Tao

In contrast to previous works, we focus on the reproducibility of the approaches and the examination of the elements that lead to improved performance by pretrained and nonpretrained models in retrieving images and text.

Information Retrieval Retrieval +1

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

no code implementations1 Dec 2021 Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yan-Jiang Wang, Bao-Di Liu

Inspired by this assumption, we propose a novel method Multi-Decision Fusing Model (MDFM), which comprehensively considers the decisions based on multiple FEMs to enhance the efficacy and robustness of the model.

Few-Shot Learning

How Frequency Effect Graph Neural Networks

no code implementations29 Sep 2021 Xueqi Ma, Yubo Zhang, Weifeng Liu, Yue Gao

Based on the frequency principle on GNNs, we present a novel powerful GNNs framework, Multi-Scale Frequency Enhanced Graph Neural Networks (MSF-GNNs) which considers multi-scale representations from wavelet decomposition.

Node Classification

Semantic-Preserving Adversarial Text Attacks

2 code implementations23 Aug 2021 Xinghao Yang, Weifeng Liu, James Bailey, DaCheng Tao, Wei Liu

In this paper, we propose a Bigram and Unigram based adaptive Semantic Preservation Optimization (BU-SPO) method to examine the vulnerability of deep models.

Adversarial Text Semantic Similarity +4

Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition

1 code implementation22 Apr 2021 Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu

This paper proposes a novel Interference Suppression Model (ISM) to deal with the interference caused by the hazy weather in domain adaptation person Re-ID.

Domain Adaptation Person Re-Identification

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach

1 code implementation3 Feb 2021 Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie

However, recent studies have pointed out that the highlighted image regions from the visual attention are often irrelevant to the given question and answer, leading to model confusion for correct visual reasoning.

Question Answering Visual Grounding +2

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning

no code implementations23 Oct 2020 Shuai Shao, Rui Xu, Yan-Jiang Wang, Weifeng Liu, Bao-Di Liu

In this paper, we propose a hypergraph based sparse attention mechanism to tackle this issue and embed it into dictionary learning.

Dictionary Learning

Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition

2 code implementations9 Oct 2020 Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, DaCheng Tao

To alleviate these problems, this paper proposes the targeted attention attack (TAA) method for real world road sign attack.

Traffic Sign Recognition

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples

no code implementations21 Aug 2020 Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao

Traditional domain adaptation algorithms assume that enough labeled data, which are treated as the prior knowledge are available in the source domain.

Domain Adaptation Graph Learning +1

Person Re-Identification via Active Hard Sample Mining

no code implementations10 Apr 2020 Xin Xu, Lei Liu, Weifeng Liu, Meng Wang, Ruimin Hu

To alleviate such a problem, we present an active hard sample mining framework via training an effective re-ID model with the least labeling efforts.

Person Re-Identification

Multiview Hessian Regularization for Image Annotation

no code implementations23 Apr 2019 Weifeng Liu, DaCheng Tao

One representative work in SSL is Laplacian regularization (LR), which smoothes the conditional distribution for classification along the manifold encoded in the graph Laplacian, however, it has been observed that LR biases the classification function towards a constant function which possibly results in poor generalization.

General Classification

Label Embedded Dictionary Learning for Image Classification

1 code implementation7 Mar 2019 Shuai Shao, Yan-Jiang Wang, Bao-Di Liu, Weifeng Liu, Rui Xu

Recently, label consistent k-svd (LC-KSVD) algorithm has been successfully applied in image classification.

Classification Dictionary Learning +2

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition

no code implementations21 Jun 2018 Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

Therefore, we develop an ensemble p-Laplacian regularization (EpLapR) to fully approximate the intrinsic manifold of the data distribution.

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition

no code implementations21 Jun 2018 Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou

Graph based SSL and manifold regularization based SSL including Laplacian regularization (LapR) and Hypergraph Laplacian regularization (HLapR) are representative SSL methods and have achieved prominent performance by exploiting the relationship of sample distribution.

Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition

no code implementations7 Aug 2016 Yanan Guo, Lei LI, Weifeng Liu, Jun Cheng, Dapeng Tao

Since human actions can be characterized by multiple feature representations extracted from Kinect and inertial sensors, multiview features must be encoded into a unified space optimal for human action recognition.

Action Recognition Temporal Action Localization

Multi-view Face Analysis Based on Gabor Features

no code implementations6 Mar 2014 Hongli Liu, Weifeng Liu, Yan-Jiang Wang

Different methods of classification based on sparse representation and Gabor kernels have been widely applied in the fields of facial analysis.

Face Recognition

Multiview Hessian Discriminative Sparse Coding for Image Annotation

no code implementations15 Jul 2013 Weifeng Liu, DaCheng Tao, Jun Cheng, Yuanyan Tang

In particular, mHDSC exploits Hessian regularization to steer the solution which varies smoothly along geodesics in the manifold, and treats the label information as an additional view of feature for incorporating the discriminative power for image annotation.

Image Denoising Image Inpainting +1

Dictionary learning based image enhancement for rarity detection

no code implementations4 May 2013 Hui Li, Xiaomeng Wang, Weifeng Liu, Yan-Jiang Wang

Image enhancement is an important image processing technique that processes images suitably for a specific application e. g. image editing.

Dictionary Learning Image Enhancement

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