6 citations · 9 across the 9 of their papers we have counts for
10 papers
DS-Net: A Dynamic Split Network for Edge-Cloud Collaborative Inference
Xinyun Zhang, Li Wang, Lei Jin +2
Collaborative inference serves as a critical methodology in edge intelligence. Existing collaborative inference methods operate by splitting the deep neural network (DNN) model bet…
Never compromise with vulnerabilities: a comprehensive survey on AI governance
Yuchu Jiang, Jian Zhao, Yuchen Yuan +62
The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, t…
Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
Xiaojian Lin, Wenxin Zhang, Yuchu Jiang +7
Hierarchical feature representations play a pivotal role in computer vision, particularly in object detection for autonomous driving. Multi-level semantic understanding is crucial…
StickMotion: Generating 3D Human Motions by Drawing a Stickman
Tao Wang, Zhihua Wu, Qiaozhi He +6
Text-to-motion generation, which translates textual descriptions into human motions, has been challenging in accurately capturing detailed user-imagined motions from simple text in…
DiffBrush:Just Painting the Art by Your Hands
Jiaming Chu, Lei Jin, Tao Wang +2
The rapid development of image generation and editing algorithms in recent years has enabled ordinary user to produce realistic images. However, the current AI painting ecosystem p…
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
Xuechao Zou, Shun Zhang, Kai Li +5
Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Re…
Autonomous Driving in Unstructured Environments: How Far Have We Come?
Chen Min, Shubin Si, Xu Wang +14
Research on autonomous driving in unstructured outdoor environments is less advanced than in structured urban settings due to challenges like environmental diversities and scene co…
The SkatingVerse Workshop & Challenge: Methods and Results
Jian Zhao, Lei Jin, Jianshu Li +16
The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
Chen Min, Dawei Zhao, Liang Xiao +10
Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vi…
UniParser: Multi-Human Parsing with Unified Correlation Representation Learning
Jiaming Chu, Lei Jin, Junliang Xing +1
Multi-human parsing is an image segmentation task necessitating both instance-level and fine-grained category-level information. However, prior research has typically processed the…