4 citations · 6 across the 21 of their papers we have counts for
12 papers · 1 filter
Automated Neural Architecture Design for Industrial Defect Detection
Yuxi Liu, Yunfeng Ma, Yi Tang +3
Industrial surface defect detection (SDD) is critical for ensuring product quality and manufacturing reliability. Due to the diverse shapes and sizes of surface defects, SDD faces…
Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Zhaoyang Li +4
Monocular 3D Visual Grounding (Mono3DVG) is an emerging task that locates 3D objects in RGB images using text descriptions with geometric cues. However, existing methods face two k…
A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification
Ruolin Li, Min Liu, Yuan Bian +4
With growing concerns over data privacy, researchers have started using virtual data as an alternative to sensitive real-world images for training person re-identification (Re-ID)…
Ideal Registration? Segmentation is All You Need
Xiang Chen, Fengting Zhang, Qinghao Liu +4
Deep learning has revolutionized image registration by its ability to handle diverse tasks while achieving significant speed advantages over conventional approaches. Current approa…
SAMIR, an efficient registration framework via robust feature learning from SAM
Yue He, Min Liu, Qinghao Liu +4
Image registration is a fundamental task in medical image analysis. Deformations are often closely related to the morphological characteristics of tissues, making accurate feature…
Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability
Shuai Jiang, Yunfeng Ma, Jingyu Zhou +3
Multimodal industrial surface defect detection (MISDD) aims to identify and locate defect in industrial products by fusing RGB and 3D modalities. This article focuses on modality-m…
Encoder-Only Image Registration
Xiang Chen, Renjiu Hu, Jinwei Zhang +5
Learning-based techniques have significantly improved the accuracy and speed of deformable image registration. However, challenges such as reducing computational complexity and han…
Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Yuan Bian +4
Monocular 3D visual grounding is a novel task that aims to locate 3D objects in RGB images using text descriptions with explicit geometry information. Despite the inclusion of geom…
Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing
Hang Zhang, Xiang Chen, Renjiu Hu +7
Learning-based deformable image registration (DIR) accelerates alignment by amortizing traditional optimization via neural networks. Label supervision further enhances accuracy, en…
Reconsider the Template Mesh in Deep Learning-based Mesh Reconstruction
Fengting Zhang, Boxu Liang, Qinghao Liu +3
Mesh reconstruction is a cornerstone process across various applications, including in-silico trials, digital twins, surgical planning, and navigation. Recent advancements in deep…
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Yuan Bian, Min Liu, Yunqi Yi +2
Person re-identification (re-id) models are vital in security surveillance systems, requiring transferable adversarial attacks to explore the vulnerabilities of them. Recently, vis…
Modality Unified Attack for Omni-Modality Person Re-Identification
Yuan Bian, Min Liu, Yunqi Yi +3
Deep learning based person re-identification (re-id) models have been widely employed in surveillance systems. Recent studies have demonstrated that black-box single-modality and c…