activity
20232026
most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations · 152 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models

Zhaoyang Li, Yanjun Li, Wangkai Li +2

Vision-Language Models (VLMs) are costly at inference time because they must process long sequences of visual tokens. Existing token pruning methods often degrade under high compre…

cs.CV2026

Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation

Wangkai Li, Zhaoyang Li, Yuwen Pan +3

Adverse weather conditions significantly degrade the performance of LiDAR point cloud semantic segmentation networks by introducing large distribution shifts. Existing augmentation…

cs.CV2026

DA-Cal: Towards Cross-Domain Calibration in Semantic Segmentation

Wangkai Li, Rui Sun, Zhaoyang Li +2

While existing unsupervised domain adaptation (UDA) methods greatly enhance target domain performance in semantic segmentation, they often neglect network calibration quality, resu…

cs.CV2026

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective

Wangkai Li, Rui Sun, Zhaoyang Li +1

Pseudo-label learning is widely used in semantic segmentation, particularly in label-scarce scenarios such as unsupervised domain adaptation (UDA) and semisupervised learning (SSL)…

cs.CV2025

Balanced Learning for Domain Adaptive Semantic Segmentation

Wangkai Li, Rui Sun, Bohao Liao +2

Unsupervised domain adaptation (UDA) for semantic segmentation aims to transfer knowledge from a labeled source domain to an unlabeled target domain. Despite the effectiveness of s…

cs.CV2025

OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge

JaeWoong Shin, Jeongun Ryu, Aaron Valero Puche +21

Pathologists routinely alternate between different magnifications when examining Whole-Slide Images, allowing them to evaluate both broad tissue morphology and intricate cellular d…

cs.CV2025

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Ruining Deng, Tianyuan Yao, Yucheng Tang +44

Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard f…

cs.CV2024

Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation

Wangkai Li, Rui Sun, Huayu Mai +1

Semantic segmentation suffers from significant performance degradation when the trained network is applied to a different domain. To address this issue, unsupervised domain adaptat…

cs.CV2024

Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation

Zhaoyang Li, Yuan Wang, Wangkai Li +2

Point cloud few-shot semantic segmentation (PC-FSS) aims to segment targets of novel categories in a given query point cloud with only a few annotated support samples. The current…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

eess.IV2023★ 151 cited

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Jun Ma, Ronald Xie, Shamini Ayyadhury +37

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…