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20192026
most citedRethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

8 citations · 17 across the 12 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

RU4D-SLAM: Reweighting Uncertainty in Gaussian Splatting SLAM for 4D Scene Reconstruction

Yangfan Zhao, Hanwei Zhang, Ke Huang +3

Combining 3D Gaussian splatting with Simultaneous Localization and Mapping (SLAM) has gained popularity as it enables continuous 3D environment reconstruction during motion. Howeve…

cs.CV2025

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis

Weiguang Zhao, Rui Zhang, Qiufeng Wang +2

3D semantic segmentation plays a fundamental and crucial role to understand 3D scenes. While contemporary state-of-the-art techniques predominantly concentrate on elevating the ove…

cs.CV2025

IDEA: Image Description Enhanced CLIP-Adapter

Zhipeng Ye, Feng Jiang, Qiufeng Wang +2

CLIP (Contrastive Language-Image Pre-training) has attained great success in pattern recognition and computer vision. Transferring CLIP to downstream tasks (e.g. zero- or few-shot…

cs.CV2023

Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation

Weiguang Zhang, Qiufeng Wang, Kaizhu Huang

Document dewarping, aiming to eliminate geometric deformation in photographed documents to benefit text recognition, has made great progress in recent years but is still far from b…

cs.CV2023

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao +3

While recent test-time adaptations exhibit efficacy by adjusting batch normalization to narrow domain disparities, their effectiveness diminishes with realistic mini-batches due to…

cs.CV20231 cited

Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network

Yiming Lin, Xiao-Bo Jin, Qiufeng Wang +1

Panoramic Narrative Grounding (PNG) is an emerging visual grounding task that aims to segment visual objects in images based on dense narrative captions. The current state-of-the-a…