b'Lin Wu'

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495 publications
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312 publications
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233 publications
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217 publications
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209 publications
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203 publications
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202 publications
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116 publications
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112 publications
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107 publications
Hongzhi Yin
105 publications

research

∙ 08/07/2023

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

Multivariate time series long-term prediction, which aims to predict the...

0 Chengqing Yu, et al. ∙

research

∙ 05/30/2023

Research on Multilingual News Clustering Based on Cross-Language Word Embeddings

Classifying the same event reported by different countries is of signifi...

0 Lin Wu, et al. ∙

research

∙ 05/30/2023

The News Delivery Channel Recommendation Based on Granular Neural Network

With the continuous maturation and expansion of neural network technolog...

0 Lin Wu, et al. ∙

research

∙ 02/04/2023

LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers

Lipreading refers to understanding and further translating the speech of...

0 Feng Xue, et al. ∙

research

∙ 07/09/2022

Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization

Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...

0 Deyin Liu, et al. ∙

research

∙ 10/08/2021

Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

In expressive speech synthesis, there are high requirements for emotion ...

0 Pengfei Wu, et al. ∙

research

∙ 05/17/2021

Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space

Visual place recognition is one of the essential and challenging problem...

0 Lin Wu, et al. ∙

research

∙ 02/03/2020

Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation

We present a novel approach to perform the unsupervised domain adaptatio...

5 Siqi Yang, et al. ∙

research

∙ 06/24/2019

Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Histopathology image analysis can be considered as a Multiple instance l...

1 Meng Li, et al. ∙

research

∙ 06/24/2019

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels

This work tackles the problem of generating a medical report for multi-i...

0 Sam Maksoud, et al. ∙

research

∙ 04/03/2019

Cross-Entropy Adversarial View Adaptation for Person Re-identification

Person re-identification (re-ID) is a task of matching pedestrians under...

0 Lin Wu, et al. ∙

research

∙ 03/29/2019

Few-Shot Deep Adversarial Learning for Video-based Person Re-identification

Video-based person re-identification (re-ID) refers to matching people a...

8 Lin Wu, et al. ∙

research

∙ 12/26/2018

3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification

In this paper, we introduce a global video representation to video-based...

12 Lin Wu, et al. ∙

research

∙ 08/03/2018

Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification

Video-based person re-identification (re-id) is a central application in...

6 Lin Wu, et al. ∙

research

∙ 04/30/2018

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification

Person re-identification (re-ID) requires rapid, flexible yet discrimina...

0 Lin Wu, et al. ∙

research

∙ 04/30/2018

Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval

In this paper, we propose a novel deep generative approach to cross-moda...

0 Lin Wu, et al. ∙

research

∙ 01/04/2018

Crossing Generative Adversarial Networks for Cross-View Person Re-identification

Person re-identification (re-id) refers to matching pedestrians across d...

0 Chengyuan Zhang, et al. ∙

research

∙ 10/14/2017

When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity

Predicting fine-grained interests of users with temporal behavior is imp...

0 Tong Chen, et al. ∙

research

∙ 09/18/2017

Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition

Fine-grained visual recognition typically depends on modeling subtle dif...

0 Lin Wu, et al. ∙

research

∙ 09/05/2017

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-view data clustering attracts more attention than their single vie...

0 Yang Wang, et al. ∙

research

∙ 08/04/2017

Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering

Low-Rank Representation (LRR) is arguably one of the most powerful parad...

0 Yang Wang, et al. ∙

research

∙ 07/21/2017

What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

Matching pedestrians across disjoint camera views, known as person re-id...

0 Lin Wu, et al. ∙

research

∙ 06/10/2017

Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification

Person re-identification (re-id) aims to match pedestrians observed by d...

0 Lin Wu, et al. ∙

research

∙ 04/20/2017

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

The proliferation of social media in communication and information disse...

0 Tong Chen, et al. ∙

research

∙ 04/12/2017

Finding Modes by Probabilistic Hypergraphs Shifting

In this paper, we develop a novel paradigm, namely hypergraph shift, to ...

0 Yang Wang, et al. ∙

research

∙ 01/18/2017

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval

Given a query photo issued by a user (q-user), the landmark retrieval is...

0 Yang Wang, et al. ∙

research

∙ 08/19/2016

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Multi-view spectral clustering, which aims at yielding an agreement or c...

0 Yang Wang, et al. ∙

research

∙ 06/06/2016

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach

In this paper, we present an end-to-end approach to simultaneously learn...

0 Lin Wu, et al. ∙

research

∙ 06/06/2016

Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification

Person re-identification is to seek a correct match for a person of inte...

0 Lin Wu, et al. ∙

research

∙ 01/27/2016

PersonNet: Person Re-identification with Deep Convolutional Neural Networks

In this paper, we propose a deep end-to-end neu- ral network to simultan...

0 Lin Wu, et al. ∙

research

∙ 11/27/2015

Structured learning of metric ensembles with application to person re-identification

Matching individuals across non-overlapping camera networks, known as pe...

0 Sakrapee Paisitkriangkrai, et al. ∙

research

∙ 12/17/2010

Detecting Image Forgeries using Geometric Cues

This chapter presents a framework for detecting fake regions by using va...

0 Lin Wu, et al. ∙

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