Peng Hu

Orcid: 0000-0003-3868-3997

Affiliations:
  • Sichuan University, Machine Intelligence Laboratory, College of Computer Science, China


According to our database1, Peng Hu authored at least 48 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Semantic Invariant Multi-View Clustering With Fully Incomplete Information.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Hierarchical Consensus Hashing for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024

Dual Self-Paced Cross-Modal Hashing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cross-Domain Alignment for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Learning relationship-preserving representation for multi-task adversarial attacks.
Neurocomputing, October, 2023

Cross-Modal Retrieval With Partially Mismatched Pairs.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Unsupervised Contrastive Cross-Modal Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Robust Multi-View Clustering With Incomplete Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence.
CoRR, 2023

Image Clustering with External Guidance.
CoRR, 2023

Decoupled Contrastive Multi-view Clustering with High-order Random Walks.
CoRR, 2023

Noisy-Correspondence Learning for Text-to-Image Person Re-identification.
CoRR, 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ROAD: Robust Unsupervised Domain Adaptation with Noisy Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Incomplete Multi-view Clustering via Prototype-based Imputation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Multimodal Transfer Learning for Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Neural Rendering for Image Hazing.
IEEE Trans. Image Process., 2022

Deep Semisupervised Class- and Correlation-Collapsed Cross-View Learning.
IEEE Trans. Cybern., 2022

Deep Semisupervised Multiview Learning With Increasing Views.
IEEE Trans. Cybern., 2022

MagicGAN: Multiagent Attacks Generate Interferential Category via GAN.
Knowl. Based Syst., 2022

Relationship Quantification of Image Degradations.
CoRR, 2022

Graph Matching with Bi-level Noisy Correspondence.
CoRR, 2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information.
CoRR, 2022

Multi-Scale Adaptive Network for Single Image Denoising.
CoRR, 2022

Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

All-In-One Image Restoration for Unknown Corruption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Joint Versus Independent Multiview Hashing for Cross-View Retrieval.
IEEE Trans. Cybern., 2021

Cross-modal discriminant adversarial network.
Pattern Recognit., 2021

DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval.
Inf. Sci., 2021

Unsupervised Neural Rendering for Image Hazing.
CoRR, 2021

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Cross-Modal Retrieval With Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Contrastive Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Partially View-aligned Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-View Linear Discriminant Analysis Network.
IEEE Trans. Image Process., 2019

Adversarial correlated autoencoder for unsupervised multi-view representation learning.
Knowl. Based Syst., 2019

Multimodal adversarial network for cross-modal retrieval.
Knowl. Based Syst., 2019

Scalable Deep Multimodal Learning for Cross-Modal Retrieval.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Separated Variational Hashing Networks for Cross-Modal Retrieval.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Supervised Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Local feature based multi-view discriminant analysis.
Knowl. Based Syst., 2018


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