75 citations · 99 across the 6 of their papers we have counts for
6 papers
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Mei Chee Leong, Haosong Zhang, Hui Li Tan +2
Fine-grained action recognition is a challenging task in computer vision. As fine-grained datasets have small inter-class variations in spatial and temporal space, fine-grained act…
A Multi-task Framework for Infrared Small Target Detection and Segmentation
Yuhang Chen, Liyuan Li, Xin Liu +2
Due to the complicated background and noise of infrared images, infrared small target detection is one of the most difficult problems in the field of computer vision. In most exist…
TAILOR: Teaching with Active and Incremental Learning for Object Registration
Qianli Xu, Nicolas Gauthier, Wenyu Liang +6
When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor-intensive. We present TAILOR -- a method and system for o…
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition
Mei Chee Leong, Hui Li Tan, Haosong Zhang +3
Fine-grained human action recognition is a core research topic in computer vision. Inspired by the recently proposed hierarchy representation of fine-grained actions in FineGym and…
6D Pose Estimation with Correlation Fusion
Yi Cheng, Hongyuan Zhu, Ying Sun +6
6D object pose estimation is widely applied in robotic tasks such as grasping and manipulation. Prior methods using RGB-only images are vulnerable to heavy occlusion and poor illum…
Eye-2-I: Eye-tracking for just-in-time implicit user profiling
Keng-Teck Ma, Qianli Xu, Liyuan Li +3
For many applications, such as targeted advertising and content recommendation, knowing users' traits and interests is a prerequisite. User profiling is a helpful approach for this…