activity
20202026
most citedTransReID: Transformer-based Object Re-Identification

95 citations · 218 across the 23 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 1 cited

VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search

Shuting He, Hao Luo, Wei Jiang +2

Text-based Person Search (TBPS) aims to retrieve images of target pedestrian indicated by textual descriptions. It is essential for TBPS to extract fine-grained local features and…

cs.CV2023★ 2 cited

Region Generation and Assessment Network for Occluded Person Re-Identification

Shuting He, Weihua Chen, Kai Wang +4

Person Re-identification (ReID) plays a more and more crucial role in recent years with a wide range of applications. Existing ReID methods are suffering from the challenges of mis…

cs.CV2023★ 3 cited

MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions

Henghui Ding, Chang Liu, Shuting He +2

This paper strives for motion expressions guided video segmentation, which focuses on segmenting objects in video content based on a sentence describing the motion of the objects.…

cs.CV2023★ 2 cited

GREC: Generalized Referring Expression Comprehension

Shuting He, Henghui Ding, Chang Liu +1

The objective of Classic Referring Expression Comprehension (REC) is to produce a bounding box corresponding to the object mentioned in a given textual description. Commonly, exist…

cs.CV2023★ 2 cited

Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation

Shuting He, Henghui Ding, Wei Jiang

We study universal zero-shot segmentation in this work to achieve panoptic, instance, and semantic segmentation for novel categories without any training samples. Such zero-shot se…

cs.CV2023★ 79 cited

Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation

Shuting He, Xudong Jiang, Wei Jiang +1

In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. The success of few-shot semantic segmentation in 2D computer vision is…