Search Results for author: Chengxin Liu

Found 8 papers, 8 papers with code

CLIP-Guided Source-Free Object Detection in Aerial Images

1 code implementation10 Jan 2024 Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li

Domain adaptation is crucial in aerial imagery, as the visual representation of these images can significantly vary based on factors such as geographic location, time, and weather conditions.

Domain Adaptation Object +3

Point-Query Quadtree for Crowd Counting, Localization, and More

1 code implementation ICCV 2023 Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu

Such a querying process yields an intuitive, universal modeling of crowd as both the input and output are interpretable and steerable.

Crowd Counting

Robust Object Detection With Inaccurate Bounding Boxes

1 code implementation20 Jul 2022 Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang

As the crowd-sourcing labeling process and the ambiguities of the objects may raise noisy bounding box annotations, the object detectors will suffer from the degenerated training data.

Multiple Instance Learning Object +2

Interior Attention-Aware Network for Infrared Small Target Detection

1 code implementation IEEE Transactions on Geoscience and Remote Sensing 2022 Kewei Wang, Shuaiyuan Du, Chengxin Liu, Zhiguo Cao

Motivated by the fact that pixels from targets or backgrounds are correlated to each other, we propose a coarse-to-fine interior attention-aware network (IAANet) for infrared small target detection.

2D Object Detection 2D Semantic Segmentation

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

3 code implementations7 Jan 2020 Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao

Visual counting, a task that aims to estimate the number of objects from an image/video, is an open-set problem by nature, i. e., the number of population can vary in [0, inf) in theory.

Object Counting

Cannot find the paper you are looking for? You can Submit a new open access paper.