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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...
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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...
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05/30/2023
The News Delivery Channel Recommendation Based on Granular Neural Network
With the continuous maturation and expansion of neural network technolog...
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02/04/2023
LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers
Lipreading refers to understanding and further translating the speech of...
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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...
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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 ...
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05/17/2021
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Visual place recognition is one of the essential and challenging problem...
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02/03/2020
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation
We present a novel approach to perform the unsupervised domain adaptatio...
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06/24/2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
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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...
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04/03/2019
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Person re-identification (re-ID) is a task of matching pedestrians under...
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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...
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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...
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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...
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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...
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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...
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01/04/2018
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Person re-identification (re-id) refers to matching pedestrians across d...
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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...
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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...
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09/05/2017
Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Multi-view data clustering attracts more attention than their single vie...
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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...
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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...
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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...
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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...
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04/12/2017
Finding Modes by Probabilistic Hypergraphs Shifting
In this paper, we develop a novel paradigm, namely hypergraph shift, to ...
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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...
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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...
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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...
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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...
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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...
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11/27/2015
Structured learning of metric ensembles with application to person re-identification
Matching individuals across non-overlapping camera networks, known as pe...
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12/17/2010