Search Results for author: Jun Guo

Found 75 papers, 29 papers with code

Multi-Turn Target-Guided Topic Prediction with Monte Carlo Tree Search

no code implementations ICON 2021 Jingxuan Yang, Si Li, Jun Guo

In this paper, we formulate the target-guided conversation as a problem of multi-turn topic prediction and model it under the framework of Markov decision process (MDP).


Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization

no code implementations Findings (EMNLP) 2021 Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo

Abstractive dialogue summarization suffers from a lots of factual errors, which are due to scattered salient elements in the multi-speaker information interaction process.

Abstractive Dialogue Summarization Contrastive Learning

Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting

no code implementations22 Mar 2024 Jun Guo, Xiaojian Ma, Yue Fan, Huaping Liu, Qing Li

Open-vocabulary 3D scene understanding presents a significant challenge in computer vision, withwide-ranging applications in embodied agents and augmented reality systems.

Scene Understanding Segmentation +2

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing

1 code implementation CVPR 2024 Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo

We evaluate a broad variety of semantic segmentation models, spanning from conventional close-set models to recent open-vocabulary large models on their robustness to different types of variations.

Attribute Benchmarking +2

Vision-language Assisted Attribute Learning

no code implementations12 Dec 2023 Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo

Attribute labeling at large scale is typically incomplete and partial, posing significant challenges to model optimization.

Attribute Language Modelling +2

HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors

1 code implementation26 Nov 2023 Junhui Yin, Wei Yin, Hao Chen, Xuqian Ren, Zhanyu Ma, Jun Guo, Yifan Liu

These priors ensure the color rendered along rays to be robust to view direction and reduce the inherent ambiguities of density estimated along rays.

Novel View Synthesis

Enhancing Cell Proliferation and Migration by MIR-Carbonyl Vibrational Coupling: Insights from Transcriptome Profiling

no code implementations3 Aug 2023 Xingkun Niu, Feng Gao, Shaojie Hou, Shihao Liu, Xinmin Zhao, Jun Guo, Liping Wang, Feng Zhang

Cell proliferation and migration highly relate to normal tissue self-healing, therefore it is highly significant for artificial controlling.

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks

1 code implementation2 Aug 2023 Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

However, these defenses are now suffering problems of high inference computational overheads and unfavorable trade-offs between benign accuracy and stealing robustness, which challenges the feasibility of deployed models in practice.

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection

1 code implementation19 Feb 2023 Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, DaCheng Tao

In this paper, we take the first step toward the study of adversarial attacks targeted at X-ray prohibited item detection, and reveal the serious threats posed by such attacks in this safety-critical scenario.

Adversarial Attack

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

1 code implementation7 Feb 2023 Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Aishan Liu, Wenjun Wu, Xianglong Liu

To achieve maximum deviation in victim policies under complex agent-wise interactions, our unilateral attack aims to characterize and maximize the impact of the adversary on the victims.

Continuous Control reinforcement-learning +4

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification

1 code implementation30 Nov 2022 Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song

Conventional few-shot learning methods however cannot be naively adopted for this fine-grained setting -- a quick pilot study reveals that they in fact push for the opposite (i. e., lower inter-class variations and higher intra-class variations).

Few-Shot Image Classification Few-Shot Learning +2

Learning Invariant Visual Representations for Compositional Zero-Shot Learning

1 code implementation1 Jun 2022 Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo

Compositional Zero-Shot Learning (CZSL) aims to recognize novel compositions using knowledge learned from seen attribute-object compositions in the training set.

Attribute Compositional Zero-Shot Learning +2

A Survey on Long-Tailed Visual Recognition

no code implementations27 May 2022 Lu Yang, He Jiang, Qing Song, Jun Guo

Data quality directly dominates the effect of deep learning models, and the long-tailed distribution is one of the factors affecting data quality.

Representation Learning

Unsupervised Long-Term Person Re-Identification with Clothes Change

no code implementations7 Feb 2022 Mingkun Li, Shupeng Cheng, Peng Xu, Xiatian Zhu, Chun-Guang Li, Jun Guo

We investigate unsupervised person re-identification (Re-ID) with clothes change, a new challenging problem with more practical usability and scalability to real-world deployment.

Clustering Unsupervised Long Term Person Re-Identification +2

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data

1 code implementation6 Dec 2021 Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo

Despite great strides made on fine-grained visual classification (FGVC), current methods are still heavily reliant on fully-supervised paradigms where ample expert labels are called for.

Fine-Grained Image Classification

TODSum: Task-Oriented Dialogue Summarization with State Tracking

no code implementations25 Oct 2021 Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng

Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues, while summarization datasets for the broadly used task-oriented dialogue haven't been explored yet.

Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification

1 code implementation15 Jun 2021 Mingkun Li, Chun-Guang Li, Jun Guo

To be specific, we propose a novel cluster-level contrastive loss to help the siamese network effectively mine the invariance in feature learning with respect to the cluster structure within and between different data augmentation views, respectively.

Clustering Contrastive Learning +2

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech

1 code implementation ACL 2021 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen

A second (multi-relational) GCN is then applied to the utterance states to produce a discourse relation-augmented representation for the utterances, which are then fused together with token states in each utterance as input to a dropped pronoun recovery layer.

Discourse Parsing

DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification

no code implementations1 Apr 2021 Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo

Meanwhile, to further mining the relationships between global features from person images, we propose an Affinities Modeling (AM) module to obtain the optimal intra- and inter-modality image matching.

Cross-Modality Person Re-identification Person Re-Identification

Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning

no code implementations1 Apr 2021 Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo

Unsupervised person re-identification (re-ID) has become an important topic due to its potential to resolve the scalability problem of supervised re-ID models.

Clustering Unsupervised Person Re-Identification

Duplex Contextual Relation Network for Polyp Segmentation

1 code implementation11 Mar 2021 Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo

However, previous methods only focus on learning the dependencies between the position within an individual image and ignore the contextual relation across different images.

Position Relation +1

A Comprehensive Evaluation Framework for Deep Model Robustness

no code implementations24 Jan 2021 Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu

To mitigate this problem, we establish a model robustness evaluation framework containing 23 comprehensive and rigorous metrics, which consider two key perspectives of adversarial learning (i. e., data and model).

Adversarial Defense

Improving Abstractive Dialogue Summarization with Conversational Structure and Factual Knowledge

no code implementations1 Jan 2021 Lulu Zhao, Zeyuan Yang, Weiran Xu, Sheng Gao, Jun Guo

In this paper, we present a Knowledge Graph Enhanced Dual-Copy network (KGEDC), a novel framework for abstractive dialogue summarization with conversational structure and factual knowledge.

Abstractive Dialogue Summarization Sentence

Knowledge Transfer Based Fine-grained Visual Classification

1 code implementation21 Dec 2020 Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo

Convolution neural networks (CNNs), which employ the cross entropy loss (CE-loss) as the loss function, show poor performance since the model can only learn the most discriminative part and ignore other meaningful regions.

Classification Fine-Grained Image Classification +2

Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

no code implementations COLING 2020 Lulu Zhao, Weiran Xu, Jun Guo

A masked graph self-attention mechanism is used to integrate cross-sentence information flows and focus more on the related utterances, which makes it better to understand the dialogue.

Abstractive Dialogue Summarization Graph Attention +1

Your "Flamingo" is My "Bird": Fine-Grained, or Not

1 code implementation CVPR 2021 Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo

For that, we re-envisage the traditional setting of FGVC, from single-label classification, to that of top-down traversal of a pre-defined coarse-to-fine label hierarchy -- so that our answer becomes "bird"-->"Phoenicopteriformes"-->"Phoenicopteridae"-->"flamingo".

Disentanglement Fine-Grained Image Classification +1

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference

no code implementations17 Nov 2020 Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo

In the DS-UI, we combine the classifier of a DNN, i. e., the last fully-connected (FC) layer, with a mixture of Gaussian mixture models (MoGMM) to obtain an MoGMM-FC layer.

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields

1 code implementation Findings of the Association for Computational Linguistics 2020 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue

Exploratory analysis also demonstrates that the GCRF did help to capture the dependencies between pronouns in neighboring utterances, thus contributes to the performance improvements.

Machine Translation Translation

SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification

no code implementations13 Sep 2020 Junhui Yin, Jiayan Qiu, Siqing Zhang, Zhanyu Ma, Jun Guo

To this end, we propose a Self-Supervised Knowledge Distillation (SSKD) technique containing two modules, the identity learning and the soft label learning.

Clustering Domain Adaptive Person Re-Identification +2

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification

1 code implementation27 Jun 2020 Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo

Despite achieving state-of-the-art performance, deep learning methods generally require a large amount of labeled data during training and may suffer from overfitting when the sample size is small.

Classification General Classification +3

Attention-guided Context Feature Pyramid Network for Object Detection

2 code implementations23 May 2020 Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi

For object detection, how to address the contradictory requirement between feature map resolution and receptive field on high-resolution inputs still remains an open question.

Instance Segmentation Object +4

OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

1 code implementation20 Apr 2020 Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo

A deep neural network of multiple nonlinear layers forms a large function space, which can easily lead to overfitting when it encounters small-sample data.

Classification General Classification

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention

1 code implementation10 Mar 2020 Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guo-Qiang Zhang, Jun Guo

In this paper, we propose Gaussian process embedded channel attention (GPCA) module and further interpret the channel attention schemes in a probabilistic way.

Image Classification

Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

1 code implementation9 Mar 2020 Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo

This module contains two key components, the channel attention guided dropout (CAGD) and the spatial attention guided dropblock (SAGD).

Weakly-Supervised Object Localization

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

2 code implementations8 Mar 2020 Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo

The key insight lies with how we exploit the mutually beneficial information between two networks; (a) to separate samples of known and unknown classes, (b) to maximize the domain confusion between source and target domain without the influence of unknown samples.

Unsupervised Domain Adaptation

OVC-Net: Object-Oriented Video Captioning with Temporal Graph and Detail Enhancement

no code implementations8 Mar 2020 Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Guang Chen, Jun Guo

Thereafter, we construct a new dataset, providing consistent object-sentence pairs, to facilitate effective cross-modal learning.

Object Sentence +1

A Video Analysis Method on Wanfang Dataset via Deep Neural Network

no code implementations28 Feb 2020 Jinlong Kang, Jiaxiang Zheng, Heng Bai, Xiaoting Xue, Yang Zhou, Jun Guo

To solve this problem, in this paper, we describe the new function for real-time multi-object detection in sports competition and pedestrians flow detection in public based on deep learning.

Object object-detection +1

Convolutional Subspace Clustering Network with Block Diagonal Prior

no code implementations IEEE Access 2019 Junjian Zhang, Chun-Guang Li, Tianming Du, Honggang Zhang, Jun Guo

Standard methods of subspace clustering are based on self-expressiveness in the original data space, which states that a data point in a subspace can be expressed as a linear combination of other points.


PMD: An Optimal Transportation-based User Distance for Recommender Systems

no code implementations10 Sep 2019 Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen

Collaborative filtering, a widely-used recommendation technique, predicts a user's preference by aggregating the ratings from similar users.

Collaborative Filtering Recommendation Systems

Wasserstein Collaborative Filtering for Item Cold-start Recommendation

no code implementations10 Sep 2019 Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu

We further adopt the idea of CF and propose Wasserstein CF (WCF) to improve the recommendation performance on cold-start items.

Collaborative Filtering

Finding Salient Context based on Semantic Matching for Relevance Ranking

no code implementations3 Sep 2019 Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo

In this paper, we propose a salient-context based semantic matching method to improve relevance ranking in information retrieval.

Information Retrieval Retrieval +2

Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents

1 code implementation NAACL 2019 Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue

Pronouns are often dropped in Chinese sentences, and this happens more frequently in conversational genres as their referents can be easily understood from context.

Machine Translation Sentence +1

Self-Supervised Convolutional Subspace Clustering Network

no code implementations CVPR 2019 Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

However, the applicability of subspace clustering has been limited because practical visual data in raw form do not necessarily lie in such linear subspaces.

Clustering Image Clustering

On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models

no code implementations13 Feb 2019 Zhanyu Ma, Jalil Taghia, Jun Guo

Recently, an improved framework, namely the extended variational inference (EVI), has been introduced and applied to derive analytically tractable solution by employing lower-bound approximation to the variational objective function.

Variational Inference

Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks

no code implementations20 Jan 2019 Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani

We study a heterogeneous two-tier wireless sensor network in which N heterogeneous access points (APs) collect sensing data from densely distributed sensors and then forward the data to M heterogeneous fusion centers (FCs).

Information Theory Information Theory

Impacts of Weather Conditions on District Heat System

no code implementations2 Aug 2018 Jiyang Xie, Zhanyu Ma, Jun Guo

Using artificial neural network for the prediction of heat demand has attracted more and more attention.

SEA: A Combined Model for Heat Demand Prediction

no code implementations28 Jul 2018 Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo

ENN and ARIMA are used to predict seasonal and trend components, respectively.

BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint

no code implementations8 Jul 2018 Jiyang Xie, Zhanyu Ma, Guo-Qiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo

In order to explicitly characterize the nonnegative L1-norm constraint of the parameters, we further approximate the true posterior distribution by a Dirichlet distribution.

Constrained Sparse Subspace Clustering with Side-Information

no code implementations21 May 2018 Chun-Guang Li, Junjian Zhang, Jun Guo

Subspace clustering refers to the problem of segmenting high dimensional data drawn from a union of subspaces into the respective subspaces.


Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification

no code implementations20 May 2018 Ruo-Pei Guo, Chun-Guang Li, Yonghua Li, Jia-Ru Lin, Jun Guo

In this paper, we propose to exploit a density-adaptive smooth kernel technique to achieve efficient and effective reranking.

Person Re-Identification

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

1 code implementation CVPR 2018 Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo

Key to our network design is the embedding of unique characteristics of human sketch, where (i) a two-branch CNN-RNN architecture is adapted to explore the temporal ordering of strokes, and (ii) a novel hashing loss is specifically designed to accommodate both the temporal and abstract traits of sketches.

Deep Hashing Sketch Recognition

Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions

no code implementations27 Feb 2018 Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang

Extensive experiment results on two datasets demonstrate that our method can achieve almost identical results compared with state-of-the-art contextual bandit methods on the dataset without outliers, and significantly outperform those state-of-the-art methods on the badly noised dataset with outliers in a variety of parameter settings.

Decision Making

Group-driven Reinforcement Learning for Personalized mHealth Intervention

1 code implementation14 Aug 2017 Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang

Due to the popularity of smartphones and wearable devices nowadays, mobile health (mHealth) technologies are promising to bring positive and wide impacts on people's health.

Clustering Decision Making +2

Decorrelation of Neutral Vector Variables: Theory and Applications

no code implementations30 May 2017 Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo

In this paper, we propose novel strategies for neutral vector variable decorrelation.

DNN Filter Bank Cepstral Coefficients for Spoofing Detection

no code implementations13 Feb 2017 Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo

In order to improve the reliability of speaker verification systems, we develop a new filter bank based cepstral feature, deep neural network filter bank cepstral coefficients (DNN-FBCC), to distinguish between natural and spoofed speech.

Speaker Verification Speech Synthesis

One-to-Many Network for Visually Pleasing Compression Artifacts Reduction

no code implementations CVPR 2017 Jun Guo, Hongyang Chao

We consider the compression artifacts reduction problem, where a compressed image is transformed into an artifact-free image.

Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning

no code implementations ICCV 2015 Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo

State of the art approaches for Semi-Supervised Learning (SSL) usually follow a two-stage framework -- constructing an affinity matrix from the data and then propagating the partial labels on this affinity matrix to infer those unknown labels.

Making Better Use of Edges via Perceptual Grouping

no code implementations CVPR 2015 Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo

We propose a perceptual grouping framework that organizes image edges into meaningful structures and demonstrate its usefulness on various computer vision tasks.

Learning-To-Rank Retrieval +1

HEp-2 Cell Classification via Fusing Texture and Shape Information

no code implementations16 Feb 2015 Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen

Indirect Immunofluorescence (IIF) HEp-2 cell image is an effective evidence for diagnosis of autoimmune diseases.

Classification General Classification

Linear Ranking Analysis

no code implementations CVPR 2014 Weihong Deng, Jiani Hu, Jun Guo

We extend the classical linear discriminant analysis (LDA) technique to linear ranking analysis (LRA), by considering the ranking order of classes centroids on the projected subspace.

Zero-Shot Learning

In Defense of Sparsity Based Face Recognition

no code implementations CVPR 2013 Weihong Deng, Jiani Hu, Jun Guo

The success of sparse representation based classification (SRC) has largely boosted the research of sparsity based face recognition in recent years.

Face Recognition Sparse Representation-based Classification

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