28 citations · 56 across the 7 of their papers we have counts for
7 papers
Partitioned Saliency Ranking with Dense Pyramid Transformers
Chengxiao Sun, Yan Xu, Jialun Pei +2
In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identi…
A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification
Xiaoyan Guo, Jie Yang, Xinyu Jia +3
Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities…
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
Mingyu Ding, Yan Xu, Zhenfang Chen +4
Humans, even at a very early age, can learn visual concepts and understand geometry and layout through active interaction with the environment, and generalize their compositions to…
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution
Shu Liu, Enquan Huang, Ziyu Zhou +4
Facial attractiveness prediction (FAP) aims to assess facial attractiveness automatically based on human aesthetic perception. Previous methods using deep convolutional neural netw…
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
Yuanhan Zhang, Zhenfei Yin, Jing Shao +22
As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, fa…
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Jian Zhao, Yu Cheng, Yi Cheng +12
Despite the remarkable progress in face recognition related technologies, reliably recognizing faces across ages still remains a big challenge. The appearance of a human face chang…
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
Lin Xiong, Jayashree Karlekar, Jian Zhao +5
Unconstrained face recognition performance evaluations have traditionally focused on Labeled Faces in the Wild (LFW) dataset for imagery and the YouTubeFaces (YTF) dataset for vide…