activity
20152025
most citedContrastive Embedding for Generalized Zero-Shot Learning

22 citations · 47 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025

LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending

Jian Jin, Zhenbo Yu, Yang Shen +2

Customized text-to-image generation renders user-specified concepts into novel contexts based on textual prompts. Scaling the number of concepts in customized generation meets a br…

cs.CV2024

Customized Generation Reimagined: Fidelity and Editability Harmonized

Jian Jin, Yang Shen, Zhenyong Fu +1

Customized generation aims to incorporate a novel concept into a pre-trained text-to-image model, enabling new generations of the concept in novel contexts guided by textual prompt…

cs.CV2021★ 22 cited

Contrastive Embedding for Generalized Zero-Shot Learning

Zongyan Han, Zhenyong Fu, Shuo Chen +1

Generalized zero-shot learning (GZSL) aims to recognize objects from both seen and unseen classes, when only the labeled examples from seen classes are provided. Recent feature gen…

cs.CV2020★ 13 cited

Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition

Zongyan Han, Zhenyong Fu, Jian Yang

Zero-shot object recognition or zero-shot learning aims to transfer the object recognition ability among the semantically related categories, such as fine-grained animal or bird sp…

cs.CV2020★ 3 cited

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Shanxin Yuan, Radu Timofte, Ales Leonardis +43

This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…

cs.CV2019

Multi-scale Dynamic Feature Encoding Network for Image Demoireing

Xi Cheng, Zhenyong Fu, Jian Yang

The prevalence of digital sensors, such as digital cameras and mobile phones, simplifies the acquisition of photos. Digital sensors, however, suffer from producing Moire when photo…

cs.CV2015★ 6 cited

Pairwise Constraint Propagation: A Survey

Zhenyong Fu, Zhiwu Lu

As one of the most important types of (weaker) supervised information in machine learning and pattern recognition, pairwise constraint, which specifies whether a pair of data point…