539 citations · 2k across the 53 of their papers we have counts for
8 papers · 1 filter
Deep Label Distribution Learning with Label Ambiguity
Bin-Bin Gao, Chao Xing, Chen-Wei Xie +2
Convolutional Neural Networks (ConvNets) have achieved excellent recognition performance in various visual recognition tasks. A large labeled training set is one of the most import…
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories
Weiyao Lin, Yang Zhou, Hongteng Xu +4
Trajectory analysis is essential in many applications. In this paper, we address the problem of representing motion trajectories in a highly informative way, and consequently utili…
Dense CNN Learning with Equivalent Mappings
Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo
Large receptive field and dense prediction are both important for achieving high accuracy in pixel labeling tasks such as semantic segmentation. These two properties, however, cont…
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition
Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu
Fine-grained image recognition is a challenging computer vision problem, due to the small inter-class variations caused by highly similar subordinate categories, and the large intr…
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu +1
Deep convolutional neural network models pre-trained for the ImageNet classification task have been successfully adopted to tasks in other domains, such as texture description and…
Minimal Gated Unit for Recurrent Neural Networks
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang +1
Recently recurrent neural networks (RNN) has been very successful in handling sequence data. However, understanding RNN and finding the best practices for RNN is a difficult task,…
Structured Learning of Binary Codes with Column Generation
Guosheng Lin, Fayao Liu, Chunhua Shen +2
Hashing methods aim to learn a set of hash functions which map the original features to compact binary codes with similarity preserving in the Hamming space. Hashing has proven a v…
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes
Weiyao Lin, Yang Mi, Weiyue Wang +3
This paper addresses the problem of detecting coherent motions in crowd scenes and presents its two applications in crowd scene understanding: semantic region detection and recurre…