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

A Generic Object Re-identification System for Short Videos

Short video applications like TikTok and Kwai have been a great hit rece...
02/10/2021 ∙ by Tairu Qiu, et al. ∙ 0 ∙ share

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Nonlinear Monte Carlo Method for Imbalanced Data Learning

For basic machine learning problems, expected error is used to evaluate ...
10/27/2020 ∙ by Xuli Shen, et al. ∙ 0 ∙ share

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M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

To counter the outbreak of COVID-19, the accurate diagnosis of suspected...
10/07/2020 ∙ by Xuelin Qian, et al. ∙ 9 ∙ share

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Temporal Context Aggregation for Video Retrieval with Contrastive Learning

The current research focus on Content-Based Video Retrieval requires hig...
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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Xiangyang Xue

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