Zobrazeno 1 - 10
of 7 060
pro vyhledávání: '"An, Zhishan"'
Studies on backdoor attacks in recent years suggest that an adversary can compromise the integrity of a deep neural network (DNN) by manipulating a small set of training samples. Our analysis shows that such manipulation can make the backdoor model c
Externí odkaz:
http://arxiv.org/abs/2409.00863
Recent studies have revealed the vulnerability of deep neural networks (DNNs) to various backdoor attacks, where the behavior of DNNs can be compromised by utilizing certain types of triggers or poisoning mechanisms. State-of-the-art (SOTA) defenses
Externí odkaz:
http://arxiv.org/abs/2407.10052
Recent years have witnessed increasing interest in machine learning inferences on serverless computing for its auto-scaling and cost effective properties. Existing serverless computing, however, lacks effective job scheduling methods to handle the sc
Externí odkaz:
http://arxiv.org/abs/2404.16812
Autor:
Fan, Zicong, Ohkawa, Takehiko, Yang, Linlin, Lin, Nie, Zhou, Zhishan, Zhou, Shihao, Liang, Jiajun, Gao, Zhong, Zhang, Xuanyang, Zhang, Xue, Li, Fei, Liu, Zheng, Lu, Feng, Zeid, Karim Abou, Leibe, Bastian, On, Jeongwan, Baek, Seungryul, Prakash, Aditya, Gupta, Saurabh, He, Kun, Sato, Yoichi, Hilliges, Otmar, Chang, Hyung Jin, Yao, Angela
We interact with the world with our hands and see it through our own (egocentric) perspective. A holistic 3Dunderstanding of such interactions from egocentric views is important for tasks in robotics, AR/VR, action recognition and motion generation.
Externí odkaz:
http://arxiv.org/abs/2403.16428
3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks. As performance improves, the complexity of the systems also increases, which can limit the comparative analysis and practica
Externí odkaz:
http://arxiv.org/abs/2403.01813
Autor:
He, Haoyang, Zhang, Jiangning, Chen, Hongxu, Chen, Xuhai, Li, Zhishan, Chen, Xu, Wang, Yabiao, Wang, Chengjie, Xie, Lei
Reconstruction-based approaches have achieved remarkable outcomes in anomaly detection. The exceptional image reconstruction capabilities of recently popular diffusion models have sparked research efforts to utilize them for enhanced reconstruction o
Externí odkaz:
http://arxiv.org/abs/2312.06607
Autor:
Zhou, Zhishan, Lv, Zhi, Zhou, Shihao, Zou, Minqiang, Wu, Tong, Yu, Mochen, Tang, Yao, Liang, Jiajun
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop. Using AssemblyHands, this challenge focuses on egocentric 3D hand pose estimation from a single-view image. In the competition, we adopt ViT based backbones and a simple r
Externí odkaz:
http://arxiv.org/abs/2310.04769
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Carbon-silicon-switch strategy, replacing one specific carbon atom in organic molecules with a silicon, has garnered significant interest for developing new functional molecules. However, the influence of a reaction regarding its selectivity
Externí odkaz:
https://doaj.org/article/99676556df5f48278cb6ecdc5704f0a6
The success of a deep neural network (DNN) heavily relies on the details of the training scheme; e.g., training data, architectures, hyper-parameters, etc. Recent backdoor attacks suggest that an adversary can take advantage of such training details
Externí odkaz:
http://arxiv.org/abs/2306.17441
Autor:
Zhao, Zhishan, Gao, Jingyue, Zhang, Yu, Han, Shuguang, Lou, Siyuan, Sheng, Xiang-Rong, Wang, Zhe, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
Cascading architecture has been widely adopted in large-scale advertising systems to balance efficiency and effectiveness. In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles m
Externí odkaz:
http://arxiv.org/abs/2306.03516