Alert button
Picture for Jie Qin

Jie Qin

Alert button

You Never Cluster Alone

Jun 03, 2021
Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao

Figure 1 for You Never Cluster Alone
Figure 2 for You Never Cluster Alone
Figure 3 for You Never Cluster Alone
Figure 4 for You Never Cluster Alone
Viaarxiv icon

Learning Multi-Attention Context Graph for Group-Based Re-Identification

Apr 29, 2021
Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

Figure 1 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 2 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 3 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 4 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Viaarxiv icon

Anchor-Free Person Search

Mar 22, 2021
Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao

Figure 1 for Anchor-Free Person Search
Figure 2 for Anchor-Free Person Search
Figure 3 for Anchor-Free Person Search
Figure 4 for Anchor-Free Person Search
Viaarxiv icon

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching

Mar 01, 2021
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

Figure 1 for P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Figure 2 for P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Figure 3 for P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Figure 4 for P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Viaarxiv icon

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration

Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

Figure 1 for S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Figure 2 for S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Figure 3 for S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Figure 4 for S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Viaarxiv icon

Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

Feb 08, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

Figure 1 for Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Figure 2 for Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Figure 3 for Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Figure 4 for Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Viaarxiv icon

ResizeMix: Mixing Data with Preserved Object Information and True Labels

Dec 21, 2020
Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang

Figure 1 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 2 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 3 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 4 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Viaarxiv icon

Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement

Oct 07, 2020
Fangbo Qin, Jie Qin, Siyu Huang, De Xu

Figure 1 for Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Figure 2 for Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Figure 3 for Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Figure 4 for Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Viaarxiv icon

Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Sep 27, 2020
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Figure 1 for Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Figure 2 for Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Viaarxiv icon

Invertible Zero-Shot Recognition Flows

Jul 09, 2020
Yuming Shen, Jie Qin, Lei Huang

Figure 1 for Invertible Zero-Shot Recognition Flows
Figure 2 for Invertible Zero-Shot Recognition Flows
Figure 3 for Invertible Zero-Shot Recognition Flows
Figure 4 for Invertible Zero-Shot Recognition Flows
Viaarxiv icon