58 citations · 143 across the 13 of their papers we have counts for
13 papers
Rethinking Multi-Branch and Cross-Backbone Fusion for Vehicle Re-Identification under Foundation-Model Pretraining
Yu Wang, Hongyu Yang
Multi-branch architectures and CNN-Transformer fusion are widely believed to improve vehicle re-identification (Re-ID) by combining complementary representations. We revisit this f…
ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Mingwu Zheng, Haiyu Zhang, Hongyu Yang +2
Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications. However, the challenges persist due to the limitations impose…
NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
Mingwu Zheng, Haiyu Zhang, Hongyu Yang +1
Realistic face rendering from multi-view images is beneficial to various computer vision and graphics applications. Due to the complex spatially-varying reflectance properties and…
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang, Hongyu Yang, Di Huang +1
Inspired by recent advances in diffusion models, which are reminiscent of denoising autoencoders, we investigate whether they can acquire discriminative representations for classif…
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Kaicheng Li, Hongyu Yang, Binghui Chen +3
Along with the widespread use of face recognition systems, their vulnerability has become highlighted. While existing face anti-spoofing methods can be generalized between attack t…
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Zengran Wang, Chen Min, Zheng Ge +4
Learning accurate depth is essential to multi-view 3D object detection. Recent approaches mainly learn depth from monocular images, which confront inherent difficulties due to the…
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Mingwu Zheng, Hongyu Yang, Di Huang +1
Precise representations of 3D faces are beneficial to various computer vision and graphics applications. Due to the data discretization and model linearity, however, it remains cha…
Image Inpainting via Conditional Texture and Structure Dual Generation
Xiefan Guo, Hongyu Yang, Di Huang
Deep generative approaches have recently made considerable progress in image inpainting by introducing structure priors. Due to the lack of proper interaction with image texture du…
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin, Di Huang, Hongyu Yang +3
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image…
Learning Invariant Representation for Unsupervised Image Restoration
Wenchao Du, Hu Chen, Hongyu Yang
Recently, cross domain transfer has been applied for unsupervised image restoration tasks. However, directly applying existing frameworks would lead to domain-shift problems in tra…
Learning Continuous Face Age Progression: A Pyramid of GANs
Hongyu Yang, Di Huang, Yunhong Wang +1
The two underlying requirements of face age progression, i.e. aging accuracy and identity permanence, are not well studied in the literature. This paper presents a novel generative…
Learning Face Age Progression: A Pyramid Architecture of GANs
Hongyu Yang, Di Huang, Yunhong Wang +1
The two underlying requirements of face age progression, i.e. aging accuracy and identity permanence, are not well studied in the literature. In this paper, we present a novel gene…
Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation
Hongyu Yang, Di Huang, Yunhong Wang +2
Face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images. In this paper…