2 citations · 2 across the 4 of their papers we have counts for
5 papers
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
Yichen Li, Qiankun Liu, Ying Fu
Traditional one-shot detection methods have addressed the closed-set problem in object detection, but the high cost of data annotation remains a critical challenge. General unsuper…
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
Yichen Li, Qiankun Liu, Zhenchao Jin +3
Small object detection in intricate environments has consistently represented a major challenge in the field of object detection. In this paper, we identify that this difficulty st…
Multi-Object Tracking in the Dark
Xinzhe Wang, Kang Ma, Qiankun Liu +2
Low-light scenes are prevalent in real-world applications (e.g. autonomous driving and surveillance at night). Recently, multi-object tracking in various practical use cases have r…
Transformer based Pluralistic Image Completion with Reduced Information Loss
Qiankun Liu, Yuqi Jiang, Zhentao Tan +5
Transformer based methods have achieved great success in image inpainting recently. However, we find that these solutions regard each pixel as a token, thus suffering from an infor…
Infrared Small Target Detection with Scale and Location Sensitivity
Qiankun Liu, Rui Liu, Bolun Zheng +2
Recently, infrared small target detection (IRSTD) has been dominated by deep-learning-based methods. However, these methods mainly focus on the design of complex model structures t…