activity
20172023
most citedFine-grained Discriminative Localization via Saliency-guided Faster R-CNN

39 citations · 111 across the 10 of their papers we have counts for

collaborators

17 papers

cs.IR2019

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

Xiangteng He, Yuxin Peng, Liu Xie

Cross-media retrieval is to return the results of various media types corresponding to the query of any media type. Existing researches generally focus on coarse-grained cross-medi…

cs.CV201910 cited

Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning

Junchao Zhang, Yuxin Peng

Video captioning aims to automatically generate natural language descriptions of video content, which has drawn a lot of attention recent years. Generating accurate and fine-graine…

cs.CV2018

Text-to-image Synthesis via Symmetrical Distillation Networks

Mingkuan Yuan, Yuxin Peng

Text-to-image synthesis aims to automatically generate images according to text descriptions given by users, which is a highly challenging task. The main issues of text-to-image sy…

cs.CV2018

Visual Data Synthesis via GAN for Zero-Shot Video Classification

Chenrui Zhang, Yuxin Peng

Zero-Shot Learning (ZSL) in video classification is a promising research direction, which aims to tackle the challenge from explosive growth of video categories. Most existing meth…

cs.CV2018

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

Chenrui Zhang, Yuxin Peng

Video representation learning is a vital problem for classification task. Recently, a promising unsupervised paradigm termed self-supervised learning has emerged, which explores in…

cs.MM2018

Cross-media Multi-level Alignment with Relation Attention Network

Jinwei Qi, Yuxin Peng, Yuxin Yuan

With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Natura…