30 citations · 57 across the 6 of their papers we have counts for
6 papers
SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance
Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang +3
Recent years have witnessed the success of deep learning on the visual sound separation task. However, existing works follow similar settings where the training and testing dataset…
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Hongwen Zhang, Yating Tian, Xinchi Zhou +4
Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images. By directly mapping raw pixels to model parameters, these metho…
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang, Bairun Wang, Kaige Chen +4
Few-shot segmentation focuses on the generalization of models to segment unseen object instances with limited training samples. Although tremendous improvements have been achieved,…
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang +2
In this paper, we propose a general and efficient pre-training paradigm, Montage pre-training, for object detection. Montage pre-training needs only the target detection dataset wh…
EcoNAS: Finding Proxies for Economical Neural Architecture Search
Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang +4
Neural Architecture Search (NAS) achieves significant progress in many computer vision tasks. While many methods have been proposed to improve the efficiency of NAS, the search pro…
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification
Yushi Lan, Yuan Liu, Maoqing Tian +4
Although person re-identification (ReID) has achieved significant improvement recently by enforcing part alignment, it is still a challenging task when it comes to distinguishing v…