Weiwei Shi

Orcid: 0000-0001-8820-8970

Affiliations:
  • Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China


According to our database1, Weiwei Shi authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
TransBoNet: Learning camera localization with Transformer Bottleneck and Attention.
Pattern Recognit., February, 2024

Unsupervised Monocular Estimation of Depth and Visual Odometry Using Attention and Depth-Pose Consistency Loss.
IEEE Trans. Multim., 2024

2023
Semantic Knowledge Guided Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Image super-resolution with multi-scale fractal residual attention network.
Comput. Graph., June, 2023

Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Transductive Semisupervised Deep Hashing.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Analogy-Detail Networks for Object Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2021

2020
Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment.
IEEE Trans. Image Process., 2020

Object detection with class aware region proposal network and focused attention objective.
Pattern Recognit. Lett., 2020

2019
Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses.
IEEE Trans. Neural Networks Learn. Syst., 2019

Normalized Non-Negative Sparse Encoder for Fast Image Representation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Consistency-Preserving deep hashing for fast person re-identification.
Pattern Recognit., 2019

2018
Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Improving CNN Performance Accuracies With Min-Max Objective.
IEEE Trans. Neural Networks Learn. Syst., 2018

Entropy and orthogonality based deep discriminative feature learning for object recognition.
Pattern Recognit., 2018

Deep feature learning via structured graph Laplacian embedding for person re-identification.
Pattern Recognit., 2018

Correction to: Person re-identification by the symmetric triplet and identification loss function.
Multim. Tools Appl., 2018

Person re-identification by the asymmetric triplet and identification loss function.
Multim. Tools Appl., 2018

Transductive Semi-Supervised Deep Learning Using Min-Max Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification.
CoRR, 2017

2016
Integrating Supervised Laplacian Objective with CNN for Object Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Improving CNN Performance with Min-Max Objective.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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