1k citations · 1.6k across the 54 of their papers we have counts for
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ALL-E: Aesthetics-guided Low-light Image Enhancement
Ling Li, Dong Liang, Yuanhang Gao +2
Evaluating the performance of low-light image enhancement (LLE) is highly subjective, thus making integrating human preferences into image enhancement a necessity. Existing methods…
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
Xin Li, Mingqiang Wei, Songcan Chen
Self-supervised learning is attracting wide attention in point cloud processing. However, it is still not well-solved to gain discriminative and transferable features of point clou…
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma, Lisha Li, Qirong Mao +1
Contrastive learning (CL) has shown impressive advances in image representation learning in whichever supervised multi-class classification or unsupervised learning. However, these…
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition
Enhao Zhang, Chuanxing Geng, Songcan Chen
Data augmentation for minority classes is an effective strategy for long-tailed recognition, thus developing a large number of methods. Although these methods all ensure the balanc…
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
Yunyun Wang, Yao Liu, Songcan Chen
Universal domain adaptation (UniDA) is a general unsupervised domain adaptation setting, which addresses both domain and label shifts in adaptation. Its main challenge lies in how…
Dual-Correction Adaptation Network for Noisy Knowledge Transfer
Yunyun Wang, Weiwen Zheng, Songcan Chen
Previous unsupervised domain adaptation (UDA) methods aim to promote target learning via a single-directional knowledge transfer from label-rich source domain to unlabeled target d…
Partial Domain Adaptation without Domain Alignment
Weikai Li, Songcan Chen
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a well-labeled source domain to a different but related unlabeled target domain with identical label space. Cur…
A Multi-view Perspective of Self-supervised Learning
Chuanxing Geng, Zhenghao Tan, Songcan Chen
As a newly emerging unsupervised learning paradigm, self-supervised learning (SSL) recently gained widespread attention, which usually introduces a pretext task without manual anno…
Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces
Qing Tian, Songcan Chen
In human face-based biometrics, gender classification and age estimation are two typical learning tasks. Although a variety of approaches have been proposed to handle them, just a…
A Unified Gender-Aware Age Estimation
Qing Tian, Songcan Chen, Xiaoyang Tan
Human age estimation has attracted increasing researches due to its wide applicability in such as security monitoring and advertisement recommendation. Although a variety of method…
Joint Representation Classification for Collective Face Recognition
Liping Wang, Songcan Chen
Sparse representation based classification (SRC) is popularly used in many applications such as face recognition, and implemented in two steps: representation coding and classifica…
Tri-Subject Kinship Verification: Understanding the Core of A Family
Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
One major challenge in computer vision is to go beyond the modeling of individual objects and to investigate the bi- (one-versus-one) or tri- (one-versus-two) relationship among mu…