1 citations · 1 across the 8 of their papers we have counts for
10 papers
Visually Legible but Adversarial: Watermark-Constrained Attacks on End-to-End VLMs for Document Understanding
Qingzhe Han, Fan Dang, Shengqi Chen +4
Visible watermarks convey document ownership, confidentiality, and status, but can also carry adversarial signals. We introduce Auto-Regional Adversarial Watermarking (AR-AWM), a m…
Multi-Objective Submodular Maximization with Differential Privacy
Ting Hou, Yanhao Wang, Yiping Wang +3
In this paper, we study multi-objective submodular maximization (MOSM) subject to a cardinality constraint under differential privacy (DP). Specifically, we aim to select a set of…
QUIDS: Quality-informed Incentive-driven Multi-agent Dispatching System for Mobile Crowdsensing
Nan Zhou, Zuxin Li, Fanhang Man +7
This paper addresses the challenge of achieving optimal Quality of Information (QoI) in non-dedicated vehicular mobile crowdsensing (NVMCS) systems. The key obstacles are the inter…
StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding
Xinqi Jin, Hanxun Yu, Bohan Yu +8
Online video understanding is essential for applications like public surveillance and AI glasses. However, applying Multimodal Large Language Models (MLLMs) to this domain is chall…
edgeVLM: Cloud-edge Collaborative Real-time VLM based on Context Transfer
Chen Qian, Xinran Yu, Zewen Huang +6
Vision-Language Models (VLMs) are increasingly deployed in real-time applications such as autonomous driving and human-computer interaction, which demand fast and reliable response…
SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation
Weichen Zhang, Kebin Liu, Fan Dang +3
Semantic segmentation in open-vocabulary scenarios presents significant challenges due to the wide range and granularity of semantic categories. Existing weakly-supervised methods…
iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
Xikai Sun, Fan Dang, Shiqi Jiang +8
Conformance testing is essential for ensuring that protocol implementations comply with their specifications. However, traditional testing approaches involve manually creating nume…
SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices
Xiangwen Zhuge, Xu Shen, Zeyu Wang +6
Efficient LLM inference on resource-constrained devices presents significant challenges in compute and memory utilization. Due to limited GPU memory, existing systems offload model…
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
Ke Ma, Jiaqi Tang, Bin Guo +8
Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences. Test-time adaptat…
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
Xinqi Jin, Zhui Zhu, Xikai Sun +6
Neural enhancement through super-resolution (SR) deep neural networks (DNNs) opens up new possibilities for ultra-high-definition (UHD) live streaming over existing encoding and ne…