28 citations · 66 across the 8 of their papers we have counts for
8 papers
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Yimin Deng, Yuxia Wu, Guoshuai Zhao +2
New intent discovery is a crucial capability for task-oriented dialogue systems. Existing methods focus on transferring in-domain (IND) prior knowledge to out-of-domain (OOD) data…
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…
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…
VrR-VG: Refocusing Visually-Relevant Relationships
Yuanzhi Liang, Yalong Bai, Wei Zhang +3
Relationships encode the interactions among individual instances, and play a critical role in deep visual scene understanding. Suffering from the high predictability with non-visua…