163 citations · 1.2k across the 128 of their papers we have counts for
5 papers · 1 filter
Learning Discriminators as Energy Networks in Adversarial Learning
Pingbo Pan, Yan Yan, Tianbao Yang +1
We propose a novel framework for structured prediction via adversarial learning. Existing adversarial learning methods involve two separate networks, i.e., the structured predictio…
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
Yandong Li, Liqiang Wang, Tianbao Yang +1
The large volume of video content and high viewing frequency demand automatic video summarization algorithms, of which a key property is the capability of modeling diversity. If vi…
SEP-Nets: Small and Effective Pattern Networks
Zhe Li, Xiaoyu Wang, Xutao Lv +1
While going deeper has been witnessed to improve the performance of convolutional neural networks (CNN), going smaller for CNN has received increasing attention recently due to its…
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan, Tianbao Yang, Boqing Gong
Attributes possess appealing properties and benefit many computer vision problems, such as object recognition, learning with humans in the loop, and image retrieval. Whereas the ex…
Object-centric Sampling for Fine-grained Image Classification
Xiaoyu Wang, Tianbao Yang, Guobin Chen +1
This paper proposes to go beyond the state-of-the-art deep convolutional neural network (CNN) by incorporating the information from object detection, focusing on dealing with fine-…