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20162026
most citedYour Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination

41 citations · 134 across the 27 of their papers we have counts for

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Showing 2026 · cs.CVShow all

6 papers · 2 filters

cs.CV2026

GeoState: Learning View-Decoupled Geometry States for 3D World Modeling

Hongchang Liu, Jian Liu, Yujuan Ding +5

Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view d…

cs.CV2026

BridgeAfford: Bridging Query-Target Gap for Generalizable 3D Affordance Grounding

Yijie Su, Yakun Zhu, Yi Bin +5

Language-guided 3D affordance grounding aims to localize functional regions on 3D objects according to interaction intents. However, existing methods exhibit poor generalization to…

cs.CV2026

GeoLatent: Geometry-Guided Latent Structuring with Routed Optimization for 3D Reasoning

Yakun Zhu, Yi Bin, Yujuan Ding +5

Despite progress in vision-language models, 3D spatial reasoning from 2D images remains challenging. Text-based methods describe intermediate geometry with discrete tokens, limitin…

cs.CV2026

Reconstruction-Shift Discrimination via Mask-Guided Latent Diffusion for Medical Anomaly Detection

Yibo Wan, Jinyu Cai, Yunhe Zhang +2

Unsupervised medical anomaly detection learns normal anatomical patterns from healthy training images and identifies deviations at test time. Reconstruction-based and diffusion-bas…

cs.CV2026

VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding

Haiyue Zhang, Yi Bin, Xun Jiang +5

Large vision-language models (LVLMs) have achieved significant progress in video understanding, yet understanding long videos remains challenging due to the large number of visual…

cs.CV2026

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance

Haoxi Zeng, Qiankun Liu, Yi Bin +5

Open-Vocabulary Segmentation (OVS) aims to segment image regions beyond predefined category sets by leveraging semantic descriptions. While CLIP based approaches excel in semantic…