Facial action units (FAUs) are critical for fine-grained facial expression analysis. Although FAU detection has been actively studied using ideally high quality images, it was not thoroughly studied under heavily occluded conditions. In this paper, we propose the first occlusion-robust FAU recognition method to maintain FAU detection performance under heavy occlusions. Our novel approach takes advantage of rich information from the latent space of masked autoencoder (MAE) and transforms it into FAU features. Bypassing the occlusion reconstruction step, our model efficiently extracts FAU features of occluded faces by mining the latent space of a pretrained masked autoencoder. Both node and edge-level knowledge distillation are also employed to guide our model to find a mapping between latent space vectors and FAU features. Facial occlusion conditions, including random small patches and large blocks, are thoroughly studied. Experimental results on BP4D and DISFA datasets show that our method can achieve state-of-the-art performances under the studied facial occlusion, significantly outperforming existing baseline methods. In particular, even under heavy occlusion, the proposed method can achieve comparable performance as state-of-the-art methods under normal conditions.
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
MEGVII Technology（旷视科技）
近年来，掩码图像建模（MIM）在自监督视觉识别中取得了巨大的成功。然而，作为一个基于重构的框架，它仍然是一个悬而未决的问题，以了解MIM的工作原理，因为MIM似乎非常不同于以前研究的连体方法，如对比学习。在本文中，我们提出了一个新的观点：MIM隐式学习遮挡不变的功能，这是类似于其他的连体方法，而后者学习其他的不变性。通过将MIM公式化放松为等效的连体形式，MIM方法可以在与传统方法的统一框架中解释，其中只有a）数据转换，即学习什么不变性，以及b）相似性度量是不同的。此外，采用MAE（He et al.）作为MIM的一个典型例子，我们经验性地发现MIM模型的成功与相似性函数的选择有一点关系，但是由掩蔽图像引入的学习的遮挡不变特征--它被证明是视觉Transformer的有利初始化，即使学习的特征可能不太语义。我们希望我们的研究结果能够启发研究人员在计算机视觉领域开发更强大的自监督方法。
Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
National Engineering Research Center for Robot Visual Perception and Control Technology, School of Artificial Intelligence and Robotics, Hunan University（国家机器人视觉感知与控制技术工程研究中心，人工智能与机器人学院，湖南大学）；School of Architecture and Art, Central South University（建筑与艺术学院，中南大学）；Department of Computer Science and Software Engineering, The University of Western Australia（计算机科学与软件工程系，西澳大学）
DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University（中国教育部多媒体可信感知与高效计算重点实验室，厦门大学）
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
S-Lab, Nanyang Technological University（新加坡南洋理工大学S-Lab）；College of Computer Science and Technology, Zhejiang University of Technology（浙江工业大学计算机科学与技术学院）；University of Chinese Academy of Sciences（中国科学院大学）
Non-Contact Physiological Monitoring in Pediatric Intensive Care Units via Adaptive Masking and Self-Supervised Learning
Biomedical Information Processing Laboratory, École de Technologie Supérieure, University of Quebec（生物医学信息处理实验室，高等技术学院，魁北克大学）；Pediatric Intensive Care Unit, CHU Sainte-Justine（儿童重症监护单元，圣朱斯特医院）
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院）；State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University（北京航空航天大学虚拟现实技术与系统国家重点实验室）；Peng Cheng Laboratory（鹏城实验室）
PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition
Faculty of Engineering and Computer Science, Qaiwan International University（工程与计算机科学学院，卡伊万国际大学）；Department of Information and Communication Technology Center (ICTC)-System Information, Ministry of Higher Education and Scientific Research（信息与通信技术中心（ICTC）-系统信息，高等教育与科学研究部）
MaskHOI: Robust 3D Hand-Object Interaction Estimation via Masked Pre-training
PCA Lab, School of Intelligence Science and Technology, Nanjing University（PCA实验室，智能科学与技术学院，南京大学）；Nanyang Technological University（南洋理工大学）；Nanjing University of Science and Technology（南京理工大学）；Nankai University（南开大学）
Masked Face Recognition with Generative-to-Discriminative Representations
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security at University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）；Cloud Music Inc.（网易云音乐）；Department of Communication Engineering, Shanghai University（上海大学通信工程系）
RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handling
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University（上海交通大学电子信息与电气工程学院）；School of Biomedical Engineering, Shanghai Jiao Tong University（上海交通大学生物医学工程学院）
A novel Facial Recognition technique with Focusing on Masked Faces
College of Science, Knowledge University（知识大学理学院）；Faculty of Science, Soran University（索兰大学理学院）；Technical College of Informatics, Sulaimani Polytechnic University（苏莱曼尼理工大学信息技术学院）；College of Computer and Information Technology, University of Garmian（加尔米安大学计算机与信息技术学院）；College of Science, University of Sulaimani（苏莱曼尼大学理学院）
SEF-MAP: Subspace-Decomposed Expert Fusion for Robust Multimodal HD Map Prediction
National University of Singapore（新加坡国立大学）；Xiaomi EV（小米电动车）；Chinese University of Hong Kong（香港中文大学）；The University of Manchester（曼彻斯特大学）；Renmin University of China（中国人民大学）
