b'Yuxin Peng'

research

∙ 09/28/2022

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

Semi-supervised few-shot learning consists in training a classifier to a...

Xiu-Shen Wei, et al. ∙

research

∙ 08/31/2022

SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization

Fine-grained visual categorization (FGVC) aims at recognizing objects fr...

Hongbo Sun, et al. ∙

research

∙ 01/10/2022

Disentangled Graph Neural Networks for Session-based Recommendation

Session-based recommendation (SBR) has drawn increasingly research atten...

Ansong Li, et al. ∙

research

∙ 11/11/2021

Fine-Grained Image Analysis with Deep Learning: A Survey

Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...

Xiu-Shen Wei, et al. ∙

research

∙ 07/10/2019

A New Benchmark and Approach for Fine-grained Cross-media Retrieval

Cross-media retrieval is to return the results of various media types co...

Xiangteng He, et al. ∙

research

∙ 06/11/2019

Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning

Video captioning aims to automatically generate natural language descrip...

Junchao Zhang, et al. ∙

research

∙ 08/21/2018

Text-to-image Synthesis via Symmetrical Distillation Networks

Text-to-image synthesis aims to automatically generate images according ...

Mingkuan Yuan, et al. ∙

research

∙ 04/26/2018

Visual Data Synthesis via GAN for Zero-Shot Video Classification

Zero-Shot Learning (ZSL) in video classification is a promising research...

Chenrui Zhang, et al. ∙

research

∙ 04/26/2018

Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification

Video representation learning is a vital problem for classification task...

Chenrui Zhang, et al. ∙

research

∙ 04/25/2018

Cross-media Multi-level Alignment with Relation Attention Network

With the rapid growth of multimedia data, such as image and text, it is ...

Jinwei Qi, et al. ∙

research

∙ 03/10/2018

Deep Cross-media Knowledge Transfer

Cross-media retrieval is a research hotspot in multimedia area, which ai...

Xin Huang, et al. ∙

research

∙ 02/07/2018

Deep Reinforcement Learning for Image Hashing

Deep hashing methods have received much attention recently, which achiev...

Jian Zhang, et al. ∙

research

∙ 02/07/2018

SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network

Cross-modal hashing aims to map heterogeneous multimedia data into a com...

Jian Zhang, et al. ∙

research

∙ 12/01/2017

Unsupervised Generative Adversarial Cross-modal Hashing

Cross-modal hashing aims to map heterogeneous multimedia data into a com...

Jian Zhang, et al. ∙

research

∙ 11/09/2017

Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification

Video classification is highly important with wide applications, such as...

Yuxin Peng, et al. ∙

research

∙ 10/14/2017

CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning

It is known that the inconsistent distribution and representation of dif...

Yuxin Peng, et al. ∙

research

∙ 09/30/2017

Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization

Fine-grained image classification is to recognize hundreds of subcategor...

Xiangteng He, et al. ∙

research

∙ 09/25/2017

Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN

Discriminative localization is essential for fine-grained image classifi...

Xiangteng He, et al. ∙

research

∙ 08/16/2017

Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network

Nowadays, cross-modal retrieval plays an indispensable role to flexibly ...

Yuxin Peng, et al. ∙

research

∙ 08/08/2017

MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval

Cross-modal retrieval has drawn wide interest for retrieval across diffe...

Xin Huang, et al. ∙

research

∙ 06/01/2017

Cross-modal Common Representation Learning by Hybrid Transfer Network

DNN-based cross-modal retrieval is a research hotspot to retrieve across...

Xin Huang, et al. ∙

research

∙ 04/14/2017

Cross-media Similarity Metric Learning with Unified Deep Networks

As a highlighting research topic in the multimedia area, cross-media ret...

Jinwei Qi, et al. ∙

research

∙ 04/10/2017

Fine-graind Image Classification via Combining Vision and Language

Fine-grained image classification is a challenging task due to the large...

Xiangteng He, et al. ∙

research

∙ 04/07/2017

An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges

Multimedia retrieval plays an indispensable role in big data utilization...

Yuxin Peng, et al. ∙

research

∙ 04/07/2017

CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network

Cross-modal retrieval has become a highlighted research topic for retrie...

Yuxin Peng, et al. ∙

research

∙ 04/06/2017

Object-Part Attention Model for Fine-grained Image Classification

Fine-grained image classification is to recognize hundreds of subcategor...

Yuxin Peng, et al. ∙

research

∙ 03/23/2017

Saliency-guided video classification via adaptively weighted learning

Video classification is productive in many practical applications, and t...

Yunzhen Zhao, et al. ∙

research

∙ 03/21/2017

Cross-modal Deep Metric Learning with Multi-task Regularization

DNN-based cross-modal retrieval has become a research hotspot, by which ...

Xin Huang, et al. ∙

research

∙ 12/08/2016

Query-adaptive Image Retrieval by Deep Weighted Hashing

Hashing methods have attracted much attention for large scale image retr...

Jian Zhang, et al. ∙

research

∙ 07/28/2016

SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval

Hashing methods have been widely used for efficient similarity retrieval...

Jian Zhang, et al. ∙

research

∙ 11/24/2014

The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

Fine-grained classification is challenging because categories can only b...

Tianjun Xiao, et al. ∙

research

∙ 10/14/2011

Robust Image Analysis by L1-Norm Semi-supervised Learning

This paper presents a novel L1-norm semi-supervised learning algorithm f...

Zhiwu Lu, et al. ∙

research

∙ 09/23/2011

Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition

This paper proposes a novel latent semantic learning method for extracti...

Zhiwu Lu, et al. ∙

research

∙ 09/22/2011

Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications

This paper presents a novel pairwise constraint propagation approach by ...

Zhiwu Lu, et al. ∙

Yuxin Peng

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