Zhi Chen

Orcid: 0000-0002-9385-144X

Affiliations:
  • University of Queensland, School of ITEE, Brisbane, Australia (PhD 2022)


According to our database1, Zhi Chen authored at least 33 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs.
CoRR, 2024

CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction.
CoRR, 2024

PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation.
CoRR, 2024

On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey.
CoRR, 2024

FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning.
CoRR, 2024

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection.
CoRR, 2024

Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Generalising to the unseen-zero-shot learning via generative modelling for visual recognition
PhD thesis, 2023

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2023

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Learning by Harnessing Adversarial Samples.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis.
Proceedings of the Databases Theory and Applications, 2023

2022
Federated Zero-Shot Learning for Visual Recognition.
CoRR, 2022

Hyper-relationship Learning Network for Scene Graph Generation.
CoRR, 2022

Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FBG-Based Variable-Length Estimation for Shape Sensing of Extensible Soft Robotic Manipulators.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Distinguishing Unseen from Seen for Generalized Zero-shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis.
Proceedings of the Databases Theory and Applications, 2022

2021
Domain Adaptive Semantic Segmentation without Source Data.
CoRR, 2021

Semantic Disentangling Generalized Zero-Shot Learning.
CoRR, 2021

Domain Adaptive Semantic Segmentation without Source Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Local Graph Convolutional Networks for Cross-Modal Hashing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Semantics Disentangling for Generalized Zero-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning.
Proceedings of the Databases Theory and Applications, 2021

2020
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Relationship graph learning network for visual relationship detection.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language.
CoRR, 2019

Cycle-Consistent Diverse Image Synthesis from Natural Language.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019


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