2 citations · 5 across the 10 of their papers we have counts for
12 papers
Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs
Mingyu Wang, Weilin Jin, Wenbo Li +5
Despite remarkable progress in vision-language generation, Vision-Language Models (VLMs) remain prone to hallucinations, producing content that is inconsistent with or unsupported…
Geo3R: Mitigating Spatial Reasoning Hallucination in Multimodal Large Language Models
Mingyu Wang, Weilin Jin, Wenbo Li +3
Despite remarkable progress in visual understanding, Multimodal Large Language Models (MLLMs) remain prone to hallucinations when reasoning about spatial relationships, often produ…
CDPR: Cross-modal Diffusion with Polarization for Reliable Monocular Depth Estimation
Rongjia Yu, Tong Jia, Hao Wang +4
Monocular depth estimation is a fundamental yet challenging task in computer vision, especially under complex conditions such as textureless surfaces, transparency, and specular re…
FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
Mingyuan Li, Tong Jia, Han Gu +7
Overlapping object perception aims to decouple the randomly overlapping foreground-background features, extracting foreground features while suppressing background features, which…
GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects
Yizhe Liu, Tong Jia, Da Cai +2
Transparent and specular objects are frequently encountered in daily life, factories, and laboratories. However, due to the unique optical properties, the depth information on thes…
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
Mingyuan Li, Tong Jia, Hao Wang +5
Prohibited item detection based on X-ray images is one of the most effective security inspection methods. However, the foreground-background feature coupling caused by the overlapp…
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng, Bowen Han, Jiaqi Chen +3
Noisy labels threaten the robustness of few-shot learning (FSL) due to the inexact features in a new domain. CLIP, a large-scale vision-language model, performs well in FSL on imag…
Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP
Shuyang Lin, Tong Jia, Hao Wang +3
X-ray prohibited item detection is an essential component of security check and categories of prohibited item are continuously increasing in accordance with the latest laws. Previo…
MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
Mingyuan Li, Tong Jia, Hui Lu +7
Unlike natural images with occlusion-based overlap, X-ray images exhibit depth-induced superimposition and semi-transparent appearances, where objects at different depths overlap a…
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Mingyuan Li, Tong Jia, Hao Wang +4
Prohibited item detection in X-ray images is one of the most essential and highly effective methods widely employed in various security inspection scenarios. Considering the signif…
Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion
Tingxuan Huang, Jiacheng Miao, Shizhuo Deng +2
Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications. Recent approaches have utilized Convolutional N…
AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
Dongyue Chen, Tingxuan Huang, Zhimin Song +2
Recently, stereo vision based on lightweight RGBD cameras has been widely used in various fields. However, limited by the imaging principles, the commonly used RGB-D cameras based…