activity
20232025
most citedPoint Cloud Mamba: Point Cloud Learning via State Space Model

11 citations · 14 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation

Quanzhu Niu, Yikang Zhou, Shihao Chen +2

Video Instance Segmentation (VIS) fundamentally struggles with pervasive challenges including object occlusions, motion blur, and appearance variations during temporal association.…

cs.CV2025

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs

Tao Zhang, Shiqing Wei, Shihao Chen +3

Automatically extracting vectorized building contours from remote sensing imagery is crucial for urban planning, population estimation, and disaster assessment. Current state-of-th…

cs.CV2024

P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images

Tao Zhang, Shiqing Wei, Yikang Zhou +3

Extracting building contours from remote sensing imagery is a significant challenge due to buildings' complex and diverse shapes, occlusions, and noise. Existing methods often stru…

cs.CV2024

DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries

Yikang Zhou, Tao Zhang, Shunping Ji +2

Modern video segmentation methods adopt object queries to perform inter-frame association and demonstrate satisfactory performance in tracking continuously appearing objects despit…

cs.CV2024★ 11 cited

Point Cloud Mamba: Point Cloud Learning via State Space Model

Tao Zhang, Haobo Yuan, Lu Qi +5

Recently, state space models have exhibited strong global modeling capabilities and linear computational complexity in contrast to transformers. This research focuses on applying s…

cs.CV2023★ 3 cited

DVIS++: Improved Decoupled Framework for Universal Video Segmentation

Tao Zhang, Xingye Tian, Yikang Zhou +7

We present the \textbf{D}ecoupled \textbf{VI}deo \textbf{S}egmentation (DVIS) framework, a novel approach for the challenging task of universal video segmentation, including video…