128 citations · 449 across the 22 of their papers we have counts for
22 papers
DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers
Binglei Li, Mengping Yang, Zhiyu Tan +4
Recent advances in Diffusion Transformers (DiTs) have enabled remarkable progress in visual synthesis, benefiting from their superior scalability. To facilitate DiTs' capability of…
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control
Yujie Wei, Shiwei Zhang, Hangjie Yuan +9
Recent advances in customized video generation have enabled users to create videos tailored to both specific subjects and motion trajectories. However, existing methods often requi…
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Chenhui Wang, Tao Chen, Zhihao Chen +4
Despite their impressive generative performance, latent diffusion model-based virtual try-on (VTON) methods lack faithfulness to crucial details of the clothes, such as style, patt…
Point, Segment and Count: A Generalized Framework for Object Counting
Zhizhong Huang, Mingliang Dai, Yi Zhang +2
Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names, \emph{a.k.a} few-shot and zero-shot counting. In this paper, we p…
Semantic Latent Decomposition with Normalizing Flows for Face Editing
Binglei Li, Zhizhong Huang, Hongming Shan +1
Navigating in the latent space of StyleGAN has shown effectiveness for face editing. However, the resulting methods usually encounter challenges in complicated navigation due to th…
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
Jiaxin Ye, Yujie Wei, Xin-Cheng Wen +4
Cross-corpus speech emotion recognition (SER) seeks to generalize the ability of inferring speech emotion from a well-labeled corpus to an unlabeled one, which is a rather challeng…
Online Prototype Learning for Online Continual Learning
Yujie Wei, Jiaxin Ye, Zhizhong Huang +2
Online continual learning (CL) studies the problem of learning continuously from a single-pass data stream while adapting to new data and mitigating catastrophic forgetting. Recent…
Adaptive Nonlinear Latent Transformation for Conditional Face Editing
Zhizhong Huang, Siteng Ma, Junping Zhang +1
Recent works for face editing usually manipulate the latent space of StyleGAN via the linear semantic directions. However, they usually suffer from the entanglement of facial attri…
Cross-head Supervision for Crowd Counting with Noisy Annotations
Mingliang Dai, Zhizhong Huang, Jiaqi Gao +2
Noisy annotations such as missing annotations and location shifts often exist in crowd counting datasets due to multi-scale head sizes, high occlusion, etc. These noisy annotations…
Twin Contrastive Learning with Noisy Labels
Zhizhong Huang, Junping Zhang, Hongming Shan
Learning from noisy data is a challenging task that significantly degenerates the model performance. In this paper, we present TCL, a novel twin contrastive learning model to learn…
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
Zhizhong Huang, Junping Zhang, Hongming Shan
To minimize the impact of age variation on face recognition, age-invariant face recognition (AIFR) extracts identity-related discriminative features by minimizing the correlation b…
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
Jie Chen, Weiqi Liu, Zhizhong Huang +3
The performance of GNNs degrades as they become deeper due to the over-smoothing. Among all the attempts to prevent over-smoothing, residual connection is one of the promising meth…
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive Normalization
Weiyi Yu, Zhizhong Huang, Junping Zhang +1
There are considerable interests in automatic stroke lesion segmentation on magnetic resonance (MR) images in the medical imaging field, as stroke is an important cerebrovascular d…
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
Jiaqi Gao, Zhizhong Huang, Yiming Lei +4
Most conventional crowd counting methods utilize a fully-supervised learning framework to establish a mapping between scene images and crowd density maps. They usually rely on a la…
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang, Jie Chen, Junping Zhang +1
Existing deep clustering methods rely on either contrastive or non-contrastive representation learning for downstream clustering task. Contrastive-based methods thanks to negative…
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang, Junping Zhang, Yi Zhang +1
LDCT has drawn major attention in the medical imaging field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing the radiation dose, however, de…
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Zhizhong Huang, Shouzhen Chen, Junping Zhang +1
Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively. Existing generative adversarial…
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
Zhizhong Huang, Junping Zhang, Hongming Shan
To minimize the effects of age variation in face recognition, previous work either extracts identity-related discriminative features by minimizing the correlation between identity-…
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning
Zhizhong Huang, Junping Zhang, Hongming Shan
Although impressive results have been achieved for age progression and regression, there remain two major issues in generative adversarial networks (GANs)-based methods: 1) conditi…
PFA-GAN: Progressive Face Aging with Generative Adversarial Network
Zhizhong Huang, Shouzhen Chen, Junping Zhang +1
Face aging is to render a given face to predict its future appearance, which plays an important role in the information forensics and security field as the appearance of the face t…
Look globally, age locally: Face aging with an attention mechanism
Haiping Zhu, Zhizhong Huang, Hongming Shan +1
Face aging is of great importance for cross-age recognition and entertainment-related applications. Recently, conditional generative adversarial networks (cGANs) have achieved impr…
Precipitation Nowcasting with Star-Bridge Networks
Yuan Cao, Qiuying Li, Hongming Shan +4
Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence commun…