most citedRobust Modality-incomplete Anomaly Detection: A Modality-instructive Framework with Benchmark

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds

Mingjian Gao, Zhaocheng Li, Haoyang Huang +7

Persistent spatial memory enables embodied agents to navigate familiar environments across repeated visits. However, targets may move while unobserved, including during navigation,…

cs.CV2026

InstructSAM: Segment Any Instance with Any Instructions

Yuqian Yuan, Wentong Li, Zhaocheng Li +6

In this paper, we introduce InstructSAM, a unified and streamlined framework designed for multi-instance segmentation under arbitrary instructions. We formulates instruction-driven…

cs.CV2026

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang +12

Computed Tomography (CT) is one of the most widely used and diagnostically information-dense imaging modalities, covering critical organs such as the heart, lungs, liver, and colon…

cs.CV2024★ 1 cited

Robust Modality-incomplete Anomaly Detection: A Modality-instructive Framework with Benchmark

Bingchen Miao, Wenqiao Zhang, Juncheng Li +6

Multimodal Industrial Anomaly Detection (MIAD), which utilizes 3D point clouds and 2D RGB images to identify abnormal regions in products, plays a crucial role in industrial qualit…

cs.CL2024

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Tianwei Lin, Jiang Liu, Wenqiao Zhang +9

While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA have effectively addressed GPU memory constraints during fine-tuning, their performance often falls short, especially…