Yanwei Fu

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University of Technology Sydney ∙ Queen Mary University of London ∙ Disney Research ∙ FUDAN University

Post Doctoral Associate at Disney Research, Assistant Professor at Fudan University

Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition

Humans can easily recognize actions with only a few examples given, whil...
10/20/2020 ∙ by Yuqian Fu, 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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Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Existing Multiple-Object Tracking (MOT) methods either follow the tracki...
07/29/2020 ∙ by Jinlong Peng, et al. ∙ 6 ∙ share

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How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Deep learning based models have excelled in many computer vision task an...
07/15/2020 ∙ by Yikai Wang, et al. ∙ 14 ∙ share

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DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Over-parameterization is ubiquitous nowadays in training neural networks...
07/04/2020 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Self-supervised Video Object Segmentation

The objective of this paper is self-supervised representation learning, ...
06/22/2020 ∙ by Fangrui Zhu, et al. ∙ 16 ∙ 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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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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Instance Credibility Inference for Few-Shot Learning

Few-shot learning (FSL) aims to recognize new objects with extremely lim...
03/26/2020 ∙ by Yikai Wang, et al. ∙ 5 ∙ 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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When Person Re-identification Meets Changing Clothes

Person re-identification (Reid) is now an active research topic for AI-b...
03/09/2020 ∙ by Fangbin Wan, et al. ∙ 33 ∙ 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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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

One-shot fine-grained visual recognition often suffers from the problem ...
11/17/2019 ∙ by Satoshi Tsutsui, et al. ∙ 0 ∙ share

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Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

We study the problem of shape generation in 3D mesh representation from ...
08/05/2019 ∙ by Chao Wen, et al. ∙ 8 ∙ share

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A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition

The recent research of facial expression recognition has made a lot of p...
07/25/2019 ∙ by Wenxuan Wang, et al. ∙ 3 ∙ share

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Image Deformation Meta-Networks for One-Shot Learning

Humans can robustly learn novel visual concepts even when images undergo...
05/28/2019 ∙ by Zitian Chen, et al. ∙ 0 ∙ share

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Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence

Over-parameterization is ubiquitous nowadays in training neural networks...
05/23/2019 ∙ by Yanwei Fu, et al. ∙ 15 ∙ share

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S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning

This paper proposes a novel Stochastic Split Linearized Bregman Iteratio...
04/24/2019 ∙ by Yanwei Fu, et al. ∙ 4 ∙ 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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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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Learning Large Euclidean Margin for Sketch-based Image Retrieval

This paper addresses the problem of Sketch-Based Image Retrieval (SBIR),...
12/11/2018 ∙ by Peng Lu, 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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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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Progressive Deep Neural Networks Acceleration via Soft Filter Pruning

This paper proposed a Progressive Soft Filter Pruning method (PSFP) to p...
08/22/2018 ∙ by Yang He, et al. ∙ 0 ∙ share

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Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

This paper proposed a Soft Filter Pruning (SFP) method to accelerate the...
08/21/2018 ∙ by Yang He, et al. ∙ 0 ∙ share

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Detecting Tiny Moving Vehicles in Satellite Videos

In recent years, the satellite videos have been captured by a moving sat...
07/05/2018 ∙ by Wei Ao, et al. ∙ 4 ∙ 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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MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

It is one typical and general topic of learning a good embedding model t...
06/12/2018 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning

Zero-Shot Learning (ZSL) is achieved via aligning the semantic relations...
05/21/2018 ∙ by Yunlong Yu, 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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A Large-scale Attribute Dataset for Zero-shot Learning

Zero-Shot Learning (ZSL) has attracted huge research attention over the ...
04/12/2018 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

We propose an end-to-end deep learning architecture that produces a 3D s...
04/05/2018 ∙ by Nanyang Wang, et al. ∙ 8 ∙ 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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AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

Significant progress has been achieved in Computer Vision by leveraging ...
11/17/2017 ∙ by Jiahong Wu, 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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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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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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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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Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models

Researchers often summarize their work in the form of scientific posters...
02/21/2017 ∙ by Yu-ting Qiang, et al. ∙ 0 ∙ share

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Deep Learning for Video Classification and Captioning

Accelerated by the tremendous increase in Internet bandwidth and storage...
09/22/2016 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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Semi-supervised Vocabulary-informed Learning

Despite significant progress in object categorization, in recent years, ...
04/24/2016 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Learning to Generate Posters of Scientific Papers

Researchers often summarize their work in the form of posters. Posters p...
04/05/2016 ∙ by Yuting Qiang, et al. ∙ 0 ∙ share

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Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis

Modern machine learning-based recognition approaches require large-scale...
11/19/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

Emotional content is a key element in user-generated videos. However, it...
11/16/2015 ∙ by Baohan Xu, et al. ∙ 0 ∙ share

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Learning from Synthetic Data Using a Stacked Multichannel Autoencoder

Learning from synthetic data has many important and practical applicatio...
09/17/2015 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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Yanwei Fu

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