5 papers · 1 filter
SPLF-SAM: Self-Prompting Segment Anything Model for Light Field Salient Object Detection
Qiyao Xu, Qiming Wu, Xiaowei Li
Segment Anything Model (SAM) has demonstrated remarkable capabilities in solving light field salient object detection (LF SOD). However, most existing models tend to neglect the ex…
ContextGuard-LVLM: Enhancing News Veracity through Fine-grained Cross-modal Contextual Consistency Verification
Sihan Ma, Qiming Wu, Ruotong Jiang +1
The proliferation of digital news media necessitates robust methods for verifying content veracity, particularly regarding the consistency between visual and textual information. T…
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu, Xiaohan Chen, Yifan Jiang +1
Deep Neural Networks (DNNs) are well-known to act as over-parameterized deep image priors (DIP) that regularize various image inverse problems. Meanwhile, researchers also proposed…
Bound Tightening Network for Robust Crowd Counting
Qiming Wu
Crowd Counting is a fundamental topic, aiming to estimate the number of individuals in the crowded images or videos fed from surveillance cameras. Recent works focus on improving c…
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
Qiming Wu, Zhikang Zou, Pan Zhou +3
Crowd counting has drawn much attention due to its importance in safety-critical surveillance systems. Especially, deep neural network (DNN) methods have significantly reduced esti…