Search Results for author: Qin Zhou

Found 14 papers, 3 papers with code

Attention Calibration for Disentangled Text-to-Image Personalization

1 code implementation27 Mar 2024 Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang

However, an intriguing problem persists: Is it possible to capture multiple, novel concepts from one single reference image?

Image Generation Novel Concepts

Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

1 code implementation6 Sep 2023 Jinglong Wang, Xiawei Li, Jing Zhang, Qingyuan Xu, Qin Zhou, Qian Yu, Lu Sheng, Dong Xu

The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial localization information and awareness of object shapes.

Contrastive Learning Denoising +5

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

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 +3

Analysis of a discretization of a distributed control problem with a stochastic evolution equation

no code implementations19 Jan 2021 Binjie Li, Qin Zhou, Xiaoping Xie

This paper analyzes a discretization of a stochastic parabolic optimal control problem, where the diffusion term contains the control variable.

Numerical Analysis Numerical Analysis Optimization and Control

Signature of multilayer graphene strain-controlled domain walls in quantum Hall effect

no code implementations24 Dec 2020 Paul Anderson, Yifan Huang, Yuanjun Fan, Sara Qubbaj, Sinisa Coh, Qin Zhou, Claudia Ojeda-Aristizabal

Reversible and controlled uniaxial strain triggers these topological defects, manifested as new quantum Hall effect plateaus as well as a discrete and reversible modulation of the current across the device.

Mesoscale and Nanoscale Physics

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.

Clustering Metric Learning +1

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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