activity
20242026
most citedMIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models

3 citations · 4 across the 13 of their papers we have counts for

collaborators

20 papers

cs.CV2026

Referring Industrial Anomaly Segmentation

Pengfei Yue, Xiaokang Jiang, Yilin Lu +3

Industrial Anomaly Detection (IAD) is vital for manufacturing, yet traditional methods face significant challenges: unsupervised approaches yield rough localizations requiring manu…

cs.CV2025

FlashWorld: High-quality 3D Scene Generation within Seconds

Xinyang Li, Tengfei Wang, Zixiao Gu +3

We propose FlashWorld, a generative model that produces 3D scenes from a single image or text prompt in seconds, 10~100 faster than previous works while possessing superior…

cs.CV2025

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection

Weiqi Yan, Lvhai Chen, Shengchuan Zhang +2

The difficulty of pixel-level annotation has significantly hindered the development of the Camouflaged Object Detection (COD) field. To save on annotation costs, previous works lev…

cs.CV20251 cited

HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation

Weihuang Lin, Yiwei Ma, Xiaoshuai Sun +4

The reasoning segmentation task involves segmenting objects within an image by interpreting implicit user instructions, which may encompass subtleties such as contextual cues and o…

cs.CV20253 cited

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models

Jiale Li, Mingrui Wu, Zixiang Jin +5

Despite growing interest in hallucination in Multimodal Large Language Models, existing studies primarily focus on single-image settings, leaving hallucination in multi-image scena…

cs.CV2025

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection

Yilin Lu, Jianghang Lin, Linhuang Xie +5

Anomaly inspection plays a vital role in industrial manufacturing, but the scarcity of anomaly samples significantly limits the effectiveness of existing methods in tasks such as l…