Search Results for author: Shibao Zheng

Found 11 papers, 1 papers with code

Subtask-dominated Transfer Learning for Long-tail Person Search

no code implementations1 Dec 2021 Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng

One major challenge comes from the imbalanced long-tail person identity distributions, which prevents the one-step person search model from learning discriminative person features for the final re-identification.

Human Detection Person Re-Identification +2

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors

no code implementations30 Sep 2021 Zijian Zhu, Hang Su, Chang Liu, Wenzhao Xiang, Shibao Zheng

Fortunately, most existing adversarial patches can be outwitted, disabled and rejected by a simple classification network called an adversarial patch detector, which distinguishes adversarial patches from original images.

Self-Driving Cars

Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator

no code implementations13 Sep 2021 Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng

As designers of artificial intelligence try to outwit hackers, both sides continue to hone in on AI's inherent vulnerabilities.

Adversarial Attack

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE

no code implementations ICML Workshop AML 2021 Wenzhao Xiang, Chang Liu, Shibao Zheng

Traditional adversarial examples are typically generated by adding perturbation noise to the input image within a small matrix norm.

Adversarial Attack

Making Person Search Enjoy the Merits of Person Re-identification

no code implementations24 Aug 2021 Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng

In the proposed TDN, for better knowledge transfer from the Re-ID teacher model to the one-step person search model, we design a strong one-step person search base framework by partially disentangling the two subtasks.

Human Detection Person Re-Identification +2

Distribution Context Aware Loss for Person Re-identification

no code implementations17 Nov 2019 Zhigang Chang, Qin Zhou, Mingyang Yu, Shibao Zheng, Hua Yang, Tai-Pang Wu

To learn the optimal similarity function between probe and gallery images in Person re-identification, effective deep metric learning methods have been extensively explored to obtain discriminative feature embedding.

Metric Learning Person Re-Identification

Learning to Self-Train for Semi-Supervised Few-Shot Classification

1 code implementation NeurIPS 2019 Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele

On each task, we train a few-shot model to predict pseudo labels for unlabeled data, and then iterate the self-training steps on labeled and pseudo-labeled data with each step followed by fine-tuning.

Classification General Classification +1

Robust and Efficient Graph Correspondence Transfer for Person Re-identification

no code implementations15 May 2018 Qin Zhou, Heng Fan, Hua Yang, Hang Su, Shibao Zheng, Shuang Wu, Haibin Ling

To address this problem, in this paper, we present a robust and efficient graph correspondence transfer (REGCT) approach for explicit spatial alignment in Re-ID.

Graph Matching Person Re-Identification

Weighted Bilinear Coding over Salient Body Parts for Person Re-identification

no code implementations22 Mar 2018 Zhigang Chang, Qin Zhou, Heng Fan, Hang Su, Hua Yang, Shibao Zheng, Haibin Ling

Meanwhile, a weighting scheme is applied on the bilinear coding to adaptively adjust the weights of local features at different locations based on their importance in recognition, further improving the discriminability of feature aggregation.

Person Re-Identification

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