Yadan Luo

Orcid: 0000-0001-6272-2971

According to our database1, Yadan Luo authored at least 64 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments.
CoRR, 2024

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection.
CoRR, 2024

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook.
CoRR, 2024

2023
Hypercomplex context guided interaction modeling for scene graph generation.
Pattern Recognit., September, 2023

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Deep collaborative graph hashing for discriminative image retrieval.
Pattern Recognit., July, 2023

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph.
IEEE Trans. Knowl. Data Eng., April, 2023

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

In Search of Lost Online Test-time Adaptation: A Survey.
CoRR, 2023

Towards Open World Active Learning for 3D Object Detection.
CoRR, 2023

FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Open-RoadAtlas: Leveraging VLMs for Road Condition Survey with Real-Time Mobile Auditing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Active 3D Object Detection from a Generalization Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Efficient Unsupervised Satellite Image-based Building Damage Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Point to Rectangle Matching for Image Text Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Color-strip Recognition Based Information Management System: Implementation on OBD Management.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

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

2021
Visual learning from imperfect data via inductive bias modelling
PhD thesis, 2021

High-order nonlocal Hashing for unsupervised cross-modal retrieval.
World Wide Web, 2021

Inductive Structure Consistent Hashing via Flexible Semantic Calibration.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction.
IEEE Trans. Multim., 2021

Collaborative Learning for Extremely Low Bit Asymmetric Hashing.
IEEE Trans. Knowl. Data Eng., 2021

Enhanced Modality Transition for Image Captioning.
CoRR, 2021

RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Conditional Extreme Value Theory for Open Set Video Domain Adaptation.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

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

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning to Diversify for Single Domain Generalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph.
CoRR, 2020

ORD: Object Relationship Discovery for Visual Dialogue Generation.
CoRR, 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

Fashion Recommendation with Multi-relational Representation Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Prototype-Matching Graph Network for Heterogeneous Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adversarial Bipartite Graph Learning for Video Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Human Consensus-Oriented Image Captioning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Progressive Graph Learning for Open-Set Domain Adaptation.
Proceedings of the 37th International Conference on Machine Learning, 2020

PAIC: Parallelised Attentive Image Captioning.
Proceedings of the Databases Theory and Applications, 2020

Graph-Based Relation-Aware Representation Learning for Clothing Matching.
Proceedings of the Databases Theory and Applications, 2020

Semi-supervised Cross-Modal Hashing with Graph Convolutional Networks.
Proceedings of the Databases Theory and Applications, 2020

Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling.
CoRR, 2019

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

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation.
CoRR, 2019

Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval.
CoRR, 2019

Deep Collaborative Discrete Hashing with Semantic-Invariant Structure.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

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

Collaborative Generative Adversarial Network for Recommendation Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Context-Aware Attention-Based Data Augmentation for POI Recommendation.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018
Robust discrete code modeling for supervised hashing.
Pattern Recognit., 2018

Look Deeper See Richer: Depth-aware Image Paragraph Captioning.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Motion saliency detection for compressed videos.
J. Electronic Imaging, 2017

Deep reinforcement learning-based vehicle energy efficiency autonomous learning system.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Binary Subspace Coding for Query-by-Image Video Retrieval.
CoRR, 2016

Zero-Shot Hashing via Transferring Supervised Knowledge.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016


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