no code implementations • 16 Apr 2024 • Qi Guo, Shanmin Pang, Xiaojun Jia, Qing Guo
Specifically, AdvDiffVLM employs Adaptive Ensemble Gradient Estimation to modify the score during the diffusion model's reverse generation process, ensuring the adversarial examples produced contain natural adversarial semantics and thus possess enhanced transferability.
no code implementations • 10 Oct 2022 • Xingyu Chen, Jianru Xue, Shanmin Pang
The proposed sparse semantic map-based localization approach is robust against occlusion and long-term appearance changes in the environments.
no code implementations • CVPR 2021 • Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
This paper presents MagDR, a mask-guided detection and reconstruction pipeline for defending deepfakes from adversarial attacks.
no code implementations • 7 Apr 2020 • Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen
The complementary graph regularizer investigates the specific information of multiple views.
no code implementations • 1 Feb 2020 • Xinsheng Wang, Shanmin Pang, Jihua Zhu
In the generalized zero-shot learning, synthesizing unseen data with generative models has been the most popular method to address the imbalance of training data between seen and unseen classes.
no code implementations • 10 Dec 2019 • Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian
There have been many efforts in attacking image classification models with adversarial perturbations, but the same topic on video classification has not yet been thoroughly studied.
no code implementations • 30 Jun 2019 • Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li
The other is to optimize the visual feature structure in an intermediate embedding space, and in this method we successfully devise a multilayer perceptron framework based algorithm that is able to learn the common intermediate embedding space and meanwhile to make the visual data structure more distinctive.
1 code implementation • 19 Jun 2019 • Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia
Multi-view clustering is an important and fundamental problem.
1 code implementation • 30 Jan 2019 • Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Yaochen Li
To this end, this paper proposes a novel multi-view subspace clustering approach dubbed Feature Concatenation Multi-view Subspace Clustering (FCMSC), which boosts the clustering performance by exploring the consensus information of multi-view data.
1 code implementation • 22 May 2018 • Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez
We show that by considering each deep feature as a heat source, our unsupervised aggregation method is able to avoid over-representation of \emph{bursty} features.
no code implementations • 21 Apr 2018 • Jihua Zhu, Siyu Xu, Zutao Jiang, Shanmin Pang, Jun Wang, Zhongyu Li
This paper proposes a global approach for the multi-view registration of unordered range scans.
no code implementations • 20 Mar 2018 • Jiaxing Wang, Jihua Zhu, Shanmin Pang, Zhongyu Li, Yaochen Li, Xueming Qian
Aggregating deep convolutional features into a global image vector has attracted sustained attention in image retrieval.
no code implementations • 14 Oct 2017 • Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Yaochen Li
Subsequently, the shape comprised by all cluster centroids is used to sequentially estimate the rigid transformation for each point set.
no code implementations • 25 Sep 2017 • Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang
Then, it proposes the weighted LRS decomposition, where each block element is assigned with one estimated weight to denote its reliability.