209 citations · 733 across the 29 of their papers we have counts for
6 papers · 1 filter
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Fan Wu, Zhongwen Xu, Yi Yang
We propose an end-to-end approach to the natural language object retrieval task, which localizes an object within an image according to a natural language description, i.e., referr…
Few-Shot Object Recognition from Machine-Labeled Web Images
Zhongwen Xu, Linchao Zhu, Yi Yang
With the tremendous advances of Convolutional Neural Networks (ConvNets) on object recognition, we can now obtain reliable enough machine-labeled annotations easily by predictions…
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Linchao Zhu, Zhongwen Xu, Yi Yang
Despite the recent success of neural networks in image feature learning, a major problem in the video domain is the lack of sufficient labeled data for learning to model temporal i…
Uncovering Temporal Context for Video Question and Answering
Linchao Zhu, Zhongwen Xu, Yi Yang +1
In this work, we introduce Video Question Answering in temporal domain to infer the past, describe the present and predict the future. We present an encoder-decoder approach using…
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan, Zhongwen Xu, Yi Yang +2
Recently, deep learning approach, especially deep Convolutional Neural Networks (ConvNets), have achieved overwhelming accuracy with fast processing speed for image classification.…
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
In this paper, we propose a discriminative video representation for event detection over a large scale video dataset when only limited hardware resources are available. The focus o…