50 citations · 96 across the 11 of their papers we have counts for
11 papers
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu, Yuwang Wang, Xuejin Chen
Domain generalization aims to address the domain shift between training and testing data. To learn the domain invariant representations, the model is usually trained on multiple do…
Region-Enhanced Feature Learning for Scene Semantic Segmentation
Xin Kang, Chaoqun Wang, Xuejin Chen
Semantic segmentation in complex scenes relies not only on object appearance but also on object location and the surrounding environment. Nonetheless, it is difficult to model long…
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang +5
Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achi…
Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation
Kai Cheng, Hao Chen, Wei Yin +2
Multi-view depth estimation plays a critical role in reconstructing and understanding the 3D world. Recent learning-based methods have made significant progress in it. However, mul…
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Qihua Chen, Xuejin Chen, Hyun-Myung Woo +1
Various real-world scientific applications involve the mathematical modeling of complex uncertain systems with numerous unknown parameters. Accurate parameter estimation is often p…
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang, Shaobo Min, Xuejin Chen +2
Generalized Zero-Shot Learning (GZSL) aims to recognize new categories with auxiliary semantic information,e.g., category attributes. In this paper, we handle the critical issue of…
Contrastive Learning for Mitochondria Segmentation
Zhili Li, Xuejin Chen, Jie Zhao +1
Mitochondria segmentation in electron microscopy images is essential in neuroscience. However, due to the image degradation during the imaging process, the large variety of mitocho…
Multi-Modulation Network for Audio-Visual Event Localization
Hao Wang, Zheng-Jun Zha, Liang Li +2
We study the problem of localizing audio-visual events that are both audible and visible in a video. Existing works focus on encoding and aligning audio and visual features at the…
Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
Kaizhi Yang, Xuejin Chen
Representing complex 3D objects as simple geometric primitives, known as shape abstraction, is important for geometric modeling, structural analysis, and shape synthesis. In this p…
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Chaoqun Wang, Xuejin Chen, Shaobo Min +2
Generalized Zero-Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representatio…
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
Xiaotian Chen, Yuwang Wang, Xuejin Chen +1
Human can infer the 3D geometry of a scene from a sketch instead of a realistic image, which indicates that the spatial structure plays a fundamental role in understanding the dept…