28 citations · 75 across the 14 of their papers we have counts for
16 papers
Scale Up Composed Image Retrieval Learning via Modification Text Generation
Yinan Zhou, Yaxiong Wang, Haokun Lin +3
Composed Image Retrieval (CIR) aims to search an image of interest using a combination of a reference image and modification text as the query. Despite recent advancements, this ta…
Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation
Lingyu Liu, Yaxiong Wang, Li Zhu +1
We introduce a training-free framework specifically designed to bring real-world static paintings to life through image-to-video (I2V) synthesis, addressing the persistent challeng…
Neighborhood Commonality-aware Evolution Network for Continuous Generalized Category Discovery
Ye Wang, Yaxiong Wang, Guoshuai Zhao +1
Continuous Generalized Category Discovery (C-GCD) aims to continually discover novel classes from unlabelled image sets while maintaining performance on old classes. In this paper,…
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Jingchun Lian, Lingyu Liu, Yaxiong Wang +4
Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulatio…
Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search
Shuyu Yang, Yaxiong Wang, Li Zhu +1
Text-based person search aims to retrieve specific individuals across camera networks using natural language descriptions. However, current benchmarks often exhibit biases towards…
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
Ye Wang, Yaxiong Wang, Guoshuai Zhao +1
Few-shot class-incremental learning (FSCIL) aims to incrementally recognize new classes using a few samples while maintaining the performance on previously learned classes. One of…
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
Ye Wang, Yaxiong Wang, Yujiao Wu +2
Generalized Class Discovery (GCD) aims to dynamically assign labels to unlabelled data partially based on knowledge learned from labelled data, where the unlabelled data may come f…
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
Yunhong Lou, Linchao Zhu, Yaxiong Wang +2
We present DiverseMotion, a new approach for synthesizing high-quality human motions conditioned on textual descriptions while preserving motion diversity.Despite the recent signif…
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang +3
In this paper, we introduce a large Multi-Attribute and Language Search dataset for text-based person retrieval, called MALS, and explore the feasibility of performing pre-training…
Multimodal Learning for Non-small Cell Lung Cancer Prognosis
Yujiao Wu, Yaxiong Wang, Xiaoshui Huang +3
This paper focuses on the task of survival time analysis for lung cancer. Although much progress has been made in this problem in recent years, the performance of existing methods…
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration
Yaxiong Wang, Yunchao Wei, Xueming Qian +2
Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning. However, the very high-resolution superpixel segmentation…
ReGO: Reference-Guided Outpainting for Scenery Image
Yaxiong Wang, Yunchao Wei, Xueming Qian +2
We aim to tackle the challenging yet practical scenery image outpainting task in this work. Recently, generative adversarial learning has significantly advanced the image outpainti…
AINet+: Advancing Superpixel Segmentation via Cascaded Association Implantation
Yaxiong Wang, Yunchao Wei, Yujiao Wu +3
Superpixel segmentation has seen significant progress benefiting from the deep convolutional networks. The typical approach entails initial division of the image into grids, follow…
DONet: Dual Objective Networks for Skin Lesion Segmentation
Yaxiong Wang, Yunchao Wei, Xueming Qian +2
Skin lesion segmentation is a crucial step in the computer-aided diagnosis of dermoscopic images. In the last few years, deep learning based semantic segmentation methods have sign…
Sketch-Guided Scenery Image Outpainting
Yaxiong Wang, Yunchao Wei, Xueming Qian +2
The outpainting results produced by existing approaches are often too random to meet users' requirement. In this work, we take the image outpainting one step forward by allowing us…
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
Image-text matching tasks have recently attracted a lot of attention in the computer vision field. The key point of this cross-domain problem is how to accurately measure the simil…