6 papers
Dual-R-DETR: Resolving Query Competition with Pairwise Routing in Transformer Decoders
Ye Zhang, Qi Chen, Wenyou Huang +2
Detection Transformers (DETR) formulate object detection as a set prediction problem and enable end-to-end training without post-processing. However, object queries in DETR interac…
V-CORE: Temporally Consistent Video Understanding for Video-LLM
Zhengjian Kang, Qi Chen, Rui Liu +4
Recent Video Large Language Models (Video-LLMs) have shown strong multimodal reasoning capabilities, yet remain challenged by video understanding tasks that require consistent temp…
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
Jun Zhuang, Haibo Jin, Ye Zhang +4
Intent detection, a core component of natural language understanding, has considerably evolved as a crucial mechanism in safeguarding large language models (LLMs). While prior work…
LP-DETR: Layer-wise Progressive Relations for Object Detection
Zhengjian Kang, Ye Zhang, Xiaoyu Deng +2
This paper presents LP-DETR (Layer-wise Progressive DETR), a novel approach that enhances DETR-based object detection through multi-scale relation modeling. Our method introduces l…
ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
Xiaoyu Deng, Ye Zhang, Tianmin Guo +3
The astonishing performance of large language models (LLMs) and their remarkable achievements in production and daily life have led to their widespread application in collaborative…
Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network
Ye Zhang, Linyue Chu, Letian Xu +3
In this paper, we present an advanced strategy for the coordinated control of a multi-agent aerospace system, utilizing Deep Neural Networks (DNNs) within a reinforcement learning…