3 citations · 8 across the 5 of their papers we have counts for
5 papers
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim
3D pose transfer is a challenging generation task that aims to transfer the pose of a source geometry onto a target geometry with the target identity preserved. Many prior methods…
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
Honggyu Choi, Zhixiang Chen, Xuepeng Shi +1
Semi-supervised object detection (SSOD) aims to boost detection performance by leveraging extra unlabeled data. The teacher-student framework has been shown to be promising for SSO…
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Jiaze Sun, Binod Bhattarai, Zhixiang Chen +1
Semantically guided conditional Generative Adversarial Networks (cGANs) have become a popular approach for face editing in recent years. However, most existing methods introduce se…
Learning Feature Aggregation for Deep 3D Morphable Models
Zhixiang Chen, Tae-Kyun Kim
3D morphable models are widely used for the shape representation of an object class in computer vision and graphics applications. In this work, we focus on deep 3D morphable models…
Geometry-based Distance Decomposition for Monocular 3D Object Detection
Xuepeng Shi, Qi Ye, Xiaozhi Chen +3
Monocular 3D object detection is of great significance for autonomous driving but remains challenging. The core challenge is to predict the distance of objects in the absence of ex…