Zhenduo Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
S3Mix: Same Category Same Semantics Mixing for Augmenting Fine-grained Images.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

A vision transformer for fine-grained classification by reducing noise and enhancing discriminative information.
Pattern Recognit., January, 2024

Bias Mitigating Few-Shot Class-Incremental Learning.
CoRR, 2024

Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Expansion window local alignment weighted network for fine-grained sketch-based image retrieval.
Pattern Recognit., December, 2023

Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer.
ACM Trans. Intell. Syst. Technol., April, 2023

A multi-layer memory sharing network for video captioning.
Pattern Recognit., April, 2023

Video Captioning by Learning from Global Sentence and Looking Ahead.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Federated Class-Incremental Learning with Prompting.
CoRR, 2023

Self-Distillation Dual-Memory Online Hashing with Hash Centers for Streaming Data Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedVMR: A New Federated Learning Method for Video Moment Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Prototype-Based Layered Federated Cross-Modal Hashing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Fine-Grained Hashing With Double Filtering.
IEEE Trans. Image Process., 2022

Fast Cross-Modal Hashing With Global and Local Similarity Embedding.
IEEE Trans. Cybern., 2022

A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2022

Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval.
CoRR, 2022

ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator.
CoRR, 2022

Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TEACH: Attention-Aware Deep Cross-Modal Hashing.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Weakly-Supervised Online Hashing.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Let Them Choose What They Want: A Multi-Task CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2020

2019
DELTA: A deep dual-stream network for multi-label image classification.
Pattern Recognit., 2019

A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Fast Scalable Supervised Hashing.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Asymmetric Discrete Cross-Modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Dual Deep Neural Networks Cross-Modal Hashing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving Hashing by Leveraging Multiple Layers of Deep Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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