Yuxin Peng

is this you? claim profile

Professor and Director of Multimedia Information Processing Lab (MIPL) in the Institute of Computer Science and Technology (ICST), Peking University

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

Cross-media retrieval is to return the results of various media types co...
07/10/2019 ∙ by Xiangteng He, et al. ∙ 6 ∙ share

read it
Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning

Video captioning aims to automatically generate natural language descrip...
06/11/2019 ∙ by Junchao Zhang, et al. ∙ 1 ∙ share

read it
Text-to-image Synthesis via Symmetrical Distillation Networks

Text-to-image synthesis aims to automatically generate images according ...
08/21/2018 ∙ by Mingkuan Yuan, et al. ∙ 0 ∙ share

read it
Visual Data Synthesis via GAN for Zero-Shot Video Classification

Zero-Shot Learning (ZSL) in video classification is a promising research...
04/26/2018 ∙ by Chenrui Zhang, et al. ∙ 0 ∙ share

read it
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...
04/26/2018 ∙ by Chenrui Zhang, et al. ∙ 0 ∙ share

read it
Cross-media Multi-level Alignment with Relation Attention Network

With the rapid growth of multimedia data, such as image and text, it is ...
04/25/2018 ∙ by Jinwei Qi, et al. ∙ 0 ∙ share

read it
Deep Cross-media Knowledge Transfer

Cross-media retrieval is a research hotspot in multimedia area, which ai...
03/10/2018 ∙ by Xin Huang, et al. ∙ 0 ∙ share

read it
Deep Reinforcement Learning for Image Hashing

Deep hashing methods have received much attention recently, which achiev...
02/07/2018 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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

Cross-modal hashing aims to map heterogeneous multimedia data into a com...
02/07/2018 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

read it
Unsupervised Generative Adversarial Cross-modal Hashing

Cross-modal hashing aims to map heterogeneous multimedia data into a com...
12/01/2017 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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

Video classification is highly important with wide applications, such as...
11/09/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

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

It is known that the inconsistent distribution and representation of dif...
10/14/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

read it
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization

Fine-grained image classification is to recognize hundreds of subcategor...
09/30/2017 ∙ by Xiangteng He, et al. ∙ 0 ∙ share

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

Discriminative localization is essential for fine-grained image classifi...
09/25/2017 ∙ by Xiangteng He, et al. ∙ 0 ∙ share

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

Nowadays, cross-modal retrieval plays an indispensable role to flexibly ...
08/16/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

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

Cross-modal retrieval has drawn wide interest for retrieval across diffe...
08/08/2017 ∙ by Xin Huang, et al. ∙ 0 ∙ share

read it
Cross-modal Common Representation Learning by Hybrid Transfer Network

DNN-based cross-modal retrieval is a research hotspot to retrieve across...
06/01/2017 ∙ by Xin Huang, et al. ∙ 0 ∙ share

read it
Cross-media Similarity Metric Learning with Unified Deep Networks

As a highlighting research topic in the multimedia area, cross-media ret...
04/14/2017 ∙ by Jinwei Qi, et al. ∙ 0 ∙ share

read it
Fine-graind Image Classification via Combining Vision and Language

Fine-grained image classification is a challenging task due to the large...
04/10/2017 ∙ by Xiangteng He, et al. ∙ 0 ∙ share

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

Multimedia retrieval plays an indispensable role in big data utilization...
04/07/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

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

Cross-modal retrieval has become a highlighted research topic for retrie...
04/07/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

read it
Object-Part Attention Model for Fine-grained Image Classification

Fine-grained image classification is to recognize hundreds of subcategor...
04/06/2017 ∙ by Yuxin Peng, et al. ∙ 0 ∙ share

read it
Saliency-guided video classification via adaptively weighted learning

Video classification is productive in many practical applications, and t...
03/23/2017 ∙ by Yunzhen Zhao, et al. ∙ 0 ∙ share

read it
Cross-modal Deep Metric Learning with Multi-task Regularization

DNN-based cross-modal retrieval has become a research hotspot, by which ...
03/21/2017 ∙ by Xin Huang, et al. ∙ 0 ∙ share

read it
Query-adaptive Image Retrieval by Deep Weighted Hashing

Hashing methods have attracted much attention for large scale image retr...
12/08/2016 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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

Hashing methods have been widely used for efficient similarity retrieval...
07/28/2016 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

read it
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...
11/24/2014 ∙ by Tianjun Xiao, et al. ∙ 0 ∙ share

read it
Robust Image Analysis by L1-Norm Semi-supervised Learning

This paper presents a novel L1-norm semi-supervised learning algorithm f...
10/14/2011 ∙ by Zhiwu Lu, et al. ∙ 0 ∙ share

read it
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition

This paper proposes a novel latent semantic learning method for extracti...
09/23/2011 ∙ by Zhiwu Lu, et al. ∙ 0 ∙ share

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

This paper presents a novel pairwise constraint propagation approach by ...
09/22/2011 ∙ by Zhiwu Lu, et al. ∙ 0 ∙ share

read it

Yuxin Peng

Featured Co-authors