8 papers
SkillReason: Reasoning-Enhanced Agent Skill Retrieval for Implicit User Requests
Donghong Jiang, Endian Lin, Luoping Cui +6
Large language model agents increasingly rely on reusable skills to extend their capabilities beyond parametric knowl- edge. However, retrieving the appropriate skill from a large-…
DSAA: Dual-Stage Attribute Activation for Fine-grained Open Vocabulary Detection
Donghong Jiang, Endian Lin, Hanqing Liu +4
Open-Vocabulary Object Detection (OVD) models break the limitations of closed-set detection, enabling the identification of unseen categories through natural language prompts. Howe…
RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding
Hanqing Liu, Mingjie Liu, Luoping Cui +3
Conventional vision-language models (VLMs) struggle to interpret scenes captured under adverse conditions (e.g., low light, high dynamic range, or fast motion) because standard RGB…
CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment
Maoyuan Shao, Yutong Gao, Xinyang Huang +3
Vision-language models like CLIP have achieved remarkable progress in cross-modal representation learning, yet suffer from systematic misclassifications among visually and semantic…
PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions
Luoping Cui, Hanqing Liu, Mingjie Liu +4
Robust object detection for challenging scenarios increasingly relies on event cameras, yet existing Event-RGB datasets remain constrained by sparse coverage of extreme conditions…
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View
Yutong Gao, Maoyuan Shao, Xinyang Huang +5
CLIP's success has demonstrated that prompt tuning can achieve robust cross-modal semantic alignment for tasks ranging from open-domain recognition to fine-grained classification.…
Enhancing Event-based Object Detection with Monocular Normal Maps
Mingjie Liu, Hanqing Liu, Luoping Cui +1
Object detection in autonomous driving is frequently compromised by complex illumination. While event cameras offer a robust solution, they are susceptible to sudden contrast chang…
MCFormer: A Multi-Cost-Volume Network and Comprehensive Benchmark for Particle Image Velocimetry
Zicheng Lin, Xiaoqiang Li, Yichao Wang +1
Particle Image Velocimetry (PIV) is fundamental to fluid dynamics, yet deep learning applications face significant hurdles. A critical gap exists: the lack of comprehensive evaluat…