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20212026
most citedWhen Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

7 citations · 10 across the 14 of their papers we have counts for

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cs.CV2026

CARVE: Cross-Slice Anisotropic Reallocation of Visual Evidence for Efficient 3D Medical Volume Understanding

Zhenyu Yi, Qiang Hu, Zhenhao Li +3

Slice-based MLLMs leverage mature 2D encoders by representing 3D volumes as sequences of 2D slices. However, this slice-wise formulation produces thousands of visual tokens that bu…

cs.CV2026

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies

Zhenyu Yi, Zhiyun Song, Yusong Sun +6

Automated diagnosis of 3D brain CT scans is essential for critical care, yet it remains challenging due to the heavy reliance on manual annotations and the limited semantic underst…

cs.CV2026

LDGuid: A Framework for Robust Change Detection via Latent Difference Guidance

Jiaxuan Zhao, Ali Bereyhi

Modern deep learning models for change detection (CD) often struggle to explicitly represent task-relevant semantic differences. This paper proposes the Latent Difference Guidance…

cs.CV2025

PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild

Henghui Ding, Chang Liu, Nikhila Ravi +33

This report provides a comprehensive overview of the 4th Pixel-level Video Understanding in the Wild (PVUW) Challenge, held in conjunction with CVPR 2025. It summarizes the challen…

cs.CV2025

MASSeg : 2nd Technical Report for 4th PVUW MOSE Track

Xuqiang Cao, Linnan Zhao, Jiaxuan Zhao +3

Complex video object segmentation continues to face significant challenges in small object recognition, occlusion handling, and dynamic scene modeling. This report presents our sol…

cs.CV2023

The Robust Semantic Segmentation UNCV2023 Challenge Results

Xuanlong Yu, Yi Zuo, Zitao Wang +34

This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segment…

cs.CV2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

Gui-Song Xia, Jian Ding, Ming Qian +33

This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in a…