Yi Zhu

Orcid: 0000-0002-5087-895X

Affiliations:
  • Chinese Academy of Sciences, China


According to our database1, Yi Zhu authored at least 27 papers between 2017 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.
CoRR, 2023

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Configurable Graph Reasoning for Visual Relationship Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Dynamic Perception Framework for Fine-Grained Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

Atom correlation based graph propagation for scene graph generation.
Pattern Recognit., 2022

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

P<sup>3</sup>OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.
CoRR, 2022

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Heterogeneous Excitation-and-Squeeze Network for visual dialog.
Neurocomputing, 2021

Deep Learning for Embodied Vision Navigation: A Survey.
CoRR, 2021

SOON: Scenario Oriented Object Navigation with Graph-based Exploration.
CoRR, 2021

Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Vision-Dialog Navigation by Exploring Cross-Modal Memory.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Selective Sparse Sampling for Fine-Grained Image Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Instance Activation Maps for Weakly Supervised Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Weakly Supervised Instance Segmentation Using Class Peak Response.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Correlated Topic Vector for Scene Classification.
IEEE Trans. Image Process., 2017

Soft Proposal Networks for Weakly Supervised Object Localization.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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