139 citations · 184 across the 12 of their papers we have counts for
13 papers · 1 filter
Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
Geran Zhao, Xiaotian Li, Poorya Chavoshnejad +4
Learning high-fidelity point-cloud features in the 3D space poses significant challenges, including permutation invariance, lack of local context, difficulty in fine-grained surfac…
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +4
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local d…
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding
Xiang Zhang, Taoyue Wang, Xiaotian Li +2
Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for cont…
Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection
Xiang Zhang, Huiyuan Yang, Taoyue Wang +2
Recent studies have focused on utilizing multi-modal data to develop robust models for facial Action Unit (AU) detection. However, the heterogeneity of multi-modal data poses chall…
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels
Xiaotian Li, Xiang Zhang, Taoyue Wang +1
Recent studies on the automatic detection of facial action unit (AU) have extensively relied on large-sized annotations. However, manually AU labeling is difficult, time-consuming,…
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis
Xiaotian Li, Xiang Zhang, Huiyuan Yang +3
Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change…
Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
Xiaotian Li, Zhihua Li, Huiyuan Yang +2
Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previo…
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li +2
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks. However, most of them require per-pixel…
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +2
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component. Directly regressing camera pose/3D scene…
Can You Trust Your Pose? Confidence Estimation in Visual Localization
Luca Ferranti, Xiaotian Li, Jani Boutellier +1
Camera pose estimation in large-scale environments is still an open question and, despite recent promising results, it may still fail in some situations. The research so far has fo…
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
Xiaotian Li, Shuzhe Wang, Yi Zhao +2
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local d…
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
Xiaotian Li, Juha Ylioinas, Jakob Verbeek +1
Image-based camera relocalization is an important problem in computer vision and robotics. Recent works utilize convolutional neural networks (CNNs) to regress for pixels in a quer…
Full-Frame Scene Coordinate Regression for Image-Based Localization
Xiaotian Li, Juha Ylioinas, Juho Kannala
Image-based localization, or camera relocalization, is a fundamental problem in computer vision and robotics, and it refers to estimating camera pose from an image. Recent state-of…