Xiangyang Xue

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University of Southern California ∙ Queen Mary University of London ∙ FUDAN University

Professor of Computer Science at Fudan University, Doctor Advisor of Computer Science at Fudan University, Ph.D. in Communications and Information System, Xidian University, China 1995

Context Encoding for Video Retrieval with Contrastive Learning

Content-based video retrieval plays an important role in areas such as v...
08/04/2020 ∙ by Jie Shao, et al. ∙ 10 ∙ share

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Long-Term Cloth-Changing Person Re-identification

Person re-identification (Re-ID) aims to match a target person across ca...
05/26/2020 ∙ by Xuelin Qian, et al. ∙ 5 ∙ share

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MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method

Most modern Multi-Object Tracking (MOT) systems typically apply REID-bas...
05/19/2020 ∙ by Xixi Xu, et al. ∙ 0 ∙ share

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Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

Previous researches of sketches often considered sketches in pixel forma...
05/19/2020 ∙ by Hangyu Lin, et al. ∙ 0 ∙ share

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BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Adversarial attacks for discrete data (such as text) has been proved sig...
04/21/2020 ∙ by Linyang Li, et al. ∙ 0 ∙ share

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Neural Pose Transfer by Spatially Adaptive Instance Normalization

Pose transfer has been studied for decades, in which the pose of a sourc...
03/16/2020 ∙ by Jiashun Wang, et al. ∙ 0 ∙ share

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3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection

We propose a novel fast and robust 3D point clouds segmentation framewor...
03/01/2020 ∙ by Liang Du, et al. ∙ 0 ∙ share

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Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Affective computing and cognitive theory are widely used in modern human...
01/17/2020 ∙ by Wenxuan Wang, et al. ∙ 9 ∙ share

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DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Structure from motion (SfM) is an essential computer vision problem whic...
12/20/2019 ∙ by Xingkui Wei, et al. ∙ 27 ∙ share

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Multi-Scale Self-Attention for Text Classification

In this paper, we introduce the prior knowledge, multi-scale structure, ...
12/02/2019 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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Joint Parsing and Generation for Abstractive Summarization

Sentences produced by abstractive summarization systems can be ungrammat...
11/23/2019 ∙ by Kaiqiang Song, et al. ∙ 0 ∙ share

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Fast Color Constancy with Patch-wise Bright Pixels

In this paper, a learning-free color constancy algorithm called the Patc...
11/17/2019 ∙ by Yiyao Shi, et al. ∙ 9 ∙ share

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Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

The impressive performance of neural networks on natural language proces...
11/08/2019 ∙ by Xisen Jin, et al. ∙ 19 ∙ share

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Towards Instance-level Image-to-Image Translation

Unpaired Image-to-image Translation is a new rising and challenging visi...
05/05/2019 ∙ by Zhiqiang Shen, et al. ∙ 8 ∙ share

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Question Guided Modular Routing Networks for Visual Question Answering

Visual Question Answering (VQA) faces two major challenges: how to bette...
04/17/2019 ∙ by Yanze Wu, et al. ∙ 0 ∙ share

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CODA: Counting Objects via Scale-aware Adversarial Density Adaption

Recent advances in crowd counting have achieved promising results with i...
03/25/2019 ∙ by Li Wang, et al. ∙ 0 ∙ share

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Star-Transformer

Although the fully-connected attention-based model Transformer has achie...
02/25/2019 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

Humans perceive the seemingly chaotic world in a structured and composit...
02/07/2019 ∙ by Jinyang Yuan, et al. ∙ 0 ∙ share

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A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Emotional content is a crucial ingredient in user-generated videos. Howe...
12/21/2018 ∙ by Guoyun Tu, et al. ∙ 24 ∙ share

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MEAL: Multi-Model Ensemble via Adversarial Learning

Often the best performing deep neural models are ensembles of multiple b...
12/06/2018 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...
11/28/2018 ∙ by Peng Lu, et al. ∙ 0 ∙ share

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High Order Neural Networks for Video Classification

Capturing spatiotemporal correlations is an essential topic in video cla...
11/19/2018 ∙ by Jie Shao, et al. ∙ 0 ∙ share

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Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

This paper studies the problem of domain division problem which aims to ...
10/17/2018 ∙ by HanZe Dong, et al. ∙ 0 ∙ share

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Object Detection from Scratch with Deep Supervision

We propose Deeply Supervised Object Detectors (DSOD), an object detectio...
09/25/2018 ∙ by Zhiqiang Shen, et al. ∙ 4 ∙ share

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Top-Down Tree Structured Text Generation

Text generation is a fundamental building block in natural language proc...
08/14/2018 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners

Deep Convolutional Neural Networks (CNN) has achieved significant succes...
06/14/2018 ∙ by Huiyuan Zhuo, et al. ∙ 0 ∙ share

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Semantic Feature Augmentation in Few-shot Learning

A fundamental problem with few-shot learning is the scarcity of data in ...
04/15/2018 ∙ by Zitian Chen, et al. ∙ 0 ∙ share

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Learning to score the figure skating sports videos

This paper targets at learning to score the figure skating sports videos...
02/08/2018 ∙ by Bing Zhang, et al. ∙ 0 ∙ share

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Learning to score and summarize figure skating sport videos

This paper focuses on fully understanding the figure skating sport video...
02/08/2018 ∙ by Bing Zhang, et al. ∙ 0 ∙ share

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Pose-Normalized Image Generation for Person Re-identification

Person Re-identification (re-id) faces two major challenges: the lack of...
12/06/2017 ∙ by Xuelin Qian, et al. ∙ 0 ∙ share

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Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids

In this paper, we propose gated recurrent feature pyramid for the proble...
12/04/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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DeepSkeleton: Skeleton Map for 3D Human Pose Regression

Despite recent success on 2D human pose estimation, 3D human pose estima...
11/29/2017 ∙ by Qingfu Wan, et al. ∙ 0 ∙ share

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Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization

Inspired by the recent neuroscience studies on the left-right asymmetry ...
10/28/2017 ∙ by Changmao Cheng, et al. ∙ 0 ∙ share

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Recent Advances in Zero-shot Recognition

With the recent renaissance of deep convolution neural networks, encoura...
10/13/2017 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Multi-scale Deep Learning Architectures for Person Re-identification

Person Re-identification (re-id) aims to match people across non-overlap...
09/15/2017 ∙ by Xuelin Qian, et al. ∙ 0 ∙ share

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DSOD: Learning Deeply Supervised Object Detectors from Scratch

We present Deeply Supervised Object Detector (DSOD), a framework that ca...
08/03/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild

Facial attribute analysis in the real world scenario is very challenging...
07/27/2017 ∙ by Keke He, et al. ∙ 0 ∙ share

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Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification

Videos are inherently multimodal. This paper studies the problem of how ...
06/14/2017 ∙ by Yu-Gang Jiang, et al. ∙ 0 ∙ share

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Vocabulary-informed Extreme Value Learning

The novel unseen classes can be formulated as the extreme values of know...
05/28/2017 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

In this paper, we study the task of 3D human pose estimation in the wild...
04/08/2017 ∙ by Xingyi Zhou, et al. ∙ 0 ∙ share

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Semi-Latent GAN: Learning to generate and modify facial images from attributes

Generating and manipulating human facial images using high-level attribu...
04/07/2017 ∙ by Weidong Yin, et al. ∙ 0 ∙ share

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Weakly Supervised Dense Video Captioning

This paper focuses on a novel and challenging vision task, dense video c...
04/05/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Iterative Object and Part Transfer for Fine-Grained Recognition

The aim of fine-grained recognition is to identify sub-ordinate categori...
03/29/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Arbitrary-Oriented Scene Text Detection via Rotation Proposals

This paper introduces a novel rotation-based framework for arbitrary-ori...
03/03/2017 ∙ by Jianqi Ma, et al. ∙ 0 ∙ share

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Evolving Boxes for Fast Vehicle Detection

We perform fast vehicle detection from traffic surveillance cameras. A n...
02/01/2017 ∙ by Li Wang, et al. ∙ 0 ∙ share

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Model-based Deep Hand Pose Estimation

Previous learning based hand pose estimation methods does not fully expl...
06/22/2016 ∙ by Xingyi Zhou, et al. ∙ 0 ∙ share

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Learning to Point and Count

This paper proposes the problem of point-and-count as a test case to bre...
12/08/2015 ∙ by Jie Shao, et al. ∙ 0 ∙ share

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Evaluating Two-Stream CNN for Video Classification

Videos contain very rich semantic information. Traditional hand-crafted ...
04/08/2015 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification

Classifying videos according to content semantics is an important proble...
04/07/2015 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks

In this paper, we study the challenging problem of categorizing videos a...
02/25/2015 ∙ by Yu-Gang Jiang, et al. ∙ 0 ∙ share

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Xiangyang Xue

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