activity
20192026
most citedLearning Representation for Clustering via Prototype Scattering and Positive Sampling

128 citations · 380 across the 19 of their papers we have counts for

collaborators

22 papers

cs.CV2026

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.SD2023★ 6 cited

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…