97 citations · 98 across the 3 of their papers we have counts for
4 papers
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…
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…
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation
Lu Zhang, Siqi Zhang, Xu Yang +2
Segmenting unseen objects is a crucial ability for the robot since it may encounter new environments during the operation. Recently, a popular solution is leveraging RGB-D features…
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.…