activity
20232026
most citedRefMask3D: Language-Guided Transformer for 3D Referring Segmentation

2 citations · 6 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Event-Aware Instructed Assistant for Referring Video Segmentation

Jinyu Liu, Henghui Ding, Shuting He +1

Existing referring video segmentation methods often treat a video as a single event consisting of multiple images, overlooking the fact that a video typically contains multiple dis…

cs.CV2026

GREx: Generalized Referring Expression Segmentation, Comprehension, and Generation

Henghui Ding, Chang Liu, Shuting He +2

Referring Expression Segmentation (RES) and Comprehension (REC) respectively segment and detect the object described by an expression, while Referring Expression Generation (REG) g…

cs.CV2025

ReferSplat: Referring Segmentation in 3D Gaussian Splatting

Shuting He, Guangquan Jie, Changshuo Wang +4

We introduce Referring 3D Gaussian Splatting Segmentation (R3DGS), a new task that aims to segment target objects in a 3D Gaussian scene based on natural language descriptions, whi…

cs.CV2025

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Shuting He, Peilin Ji, Yitong Yang +4

In the context of novel view synthesis, 3D Gaussian Splatting (3DGS) has recently emerged as an efficient and competitive counterpart to Neural Radiance Field (NeRF), enabling high…

cs.CV2025

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting

Hao Fu, Hanbin Zhao, Jiahua Dong +3

Recent pre-trained vision-language models (PT-VLMs) often face a Multi-Domain Task Incremental Learning (MTIL) scenario in practice, where several classes and domains of multi-moda…

cs.CV2025

Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension

Yaxian Wang, Henghui Ding, Shuting He +3

In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuse…

cs.CV2024★ 1 cited

3D-GRES: Generalized 3D Referring Expression Segmentation

Changli Wu, Yihang Liu, Jiayi Ji +6

3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific instance within a 3D space based on a natural language description. However, current approaches…

cs.CV2024★ 2 cited

RefMask3D: Language-Guided Transformer for 3D Referring Segmentation

Shuting He, Henghui Ding

3D referring segmentation is an emerging and challenging vision-language task that aims to segment the object described by a natural language expression in a point cloud scene. The…

cs.CV2024

SegPoint: Segment Any Point Cloud via Large Language Model

Shuting He, Henghui Ding, Xudong Jiang +1

Despite significant progress in 3D point cloud segmentation, existing methods primarily address specific tasks and depend on explicit instructions to identify targets, lacking the…

cs.CV2024

Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation

Zejun Gu, Zhong-Qiu Zhao, Henghui Ding +3

In practical applications of human pose estimation, low-resolution inputs frequently occur, and existing state-of-the-art models perform poorly with low-resolution images. This wor…

cs.CV2024

Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation

Shuting He, Henghui Ding

Referring video segmentation relies on natural language expressions to identify and segment objects, often emphasizing motion clues. Previous works treat a sentence as a whole and…

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…