activity
20142022
most citedWeakly Aligned Feature Fusion for Multimodal Object Detection

97 citations · 131 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning

Lu Zhang, Lu Qi, Xu Yang +3

This paper tackles the problem of novel category discovery (NCD), which aims to discriminate unknown categories in large-scale image collections. The NCD task is challenging due to…

cs.CV2022★ 97 cited

Weakly Aligned Feature Fusion for Multimodal Object Detection

Lu Zhang, Zhiyong Liu, Xiangyu Zhu +4

To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, and depth. However, multimodal data of…

cs.CV2021★ 4 cited

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

Hao Zhou, Dongchun Ren, Xu Yang +2

Pedestrian trajectory prediction is a key technology in many applications such as video surveillance, social robot navigation, and autonomous driving, and significant progress has…

cs.CV2019★ 25 cited

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Lu Zhang, Xiangyu Zhu, Xiangyu Chen +3

Multispectral pedestrian detection has shown great advantages under poor illumination conditions, since the thermal modality provides complementary information for the color image.…

cs.DS2014★ 4 cited

A Weighted Common Subgraph Matching Algorithm

Xu Yang, Hong Qiao, Zhi-Yong Liu

We propose a weighted common subgraph (WCS) matching algorithm to find the most similar subgraphs in two labeled weighted graphs. WCS matching, as a natural generalization of the e…