activity
20222024
most citedMulti-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation

75 citations · 87 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2024

Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation

Zongrui Li, Minghui Hu, Qian Zheng +1

Although recent advancements in text-to-3D generation have significantly improved generation quality, issues like limited level of detail and low fidelity still persist, which requ…

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

GLACE: Global Local Accelerated Coordinate Encoding

Fangjinhua Wang, Xudong Jiang, Silvano Galliani +2

Scene coordinate regression (SCR) methods are a family of visual localization methods that directly regress 2D-3D matches for camera pose estimation. They are effective in small-sc…

cs.CV2024

Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo

Zongrui Li, Zhan Lu, Haojie Yan +4

Natural Light Uncalibrated Photometric Stereo (NaUPS) relieves the strict environment and light assumptions in classical Uncalibrated Photometric Stereo (UPS) methods. However, due…

cs.CV20241 cited

Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy

Jun Wang, Chengfeng Zhou, Zhaoyan Ming +3

One of the fundamental challenges in microscopy (MS) image analysis is instance segmentation (IS), particularly when segmenting cluster regions where multiple objects of varying si…

cs.CV20231 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…