We stand with Ukraine

We stand with Ukraine

Hao Chen

Orcid: 0000-0003-4417-614X

Affiliations:

University of Adelaide, School of Computer Science, SA, Australia

According to our database¹, Hao Chen authored at least 70 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2024

DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis.

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IEEE Trans. Neural Networks Learn. Syst., June, 2024

CI3D: Context Interaction for Dynamic Objects and Static Map Elements in 3D Driving Scenes.

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IEEE Trans. Image Process., 2024

AODet: Aerial Object Detection Using Transformers for Foreground Regions.

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IEEE Trans. Geosci. Remote. Sens., 2024

MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence.

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CoRR, 2024

FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior.

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CoRR, 2024

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization.

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CoRR, 2024

GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models.

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CoRR, 2024

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition.

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CoRR, 2024

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data.

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CoRR, 2024

Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

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CoRR, 2024

3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models.

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CoRR, 2024

Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model.

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CoRR, 2024

Diffusion Models Trained with Large Data Are Transferable Visual Models.

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CoRR, 2024

Boosting Box-supervised Instance Segmentation with Pseudo Depth.

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CoRR, 2024

Unveiling Universal Forensics of Diffusion Models with Adversarial Perturbations.

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Proceedings of the International Joint Conference on Neural Networks, 2024

Generative Active Learning for Long-tailed Instance Segmentation.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

De novo Protein Design Using Geometric Vector Field Networks.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Object-Aware Inversion and Reassembly for Image Editing.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Instance and Panoptic Segmentation Using Conditional Convolutions.

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IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Dynamic Feature Interaction Framework for Multi-task Visual Perception.

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Int. J. Comput. Vis., 2023

GenDeF: Learning Generative Deformation Field for Video Generation.

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CoRR, 2023

HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors.

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CoRR, 2023

AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort.

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CoRR, 2023

Object-aware Inversion and Reassembly for Image Editing.

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CoRR, 2023

RGM: A Robust Generalist Matching Model.

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CoRR, 2023

Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval.

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CoRR, 2023

Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer.

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CoRR, 2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

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CoRR, 2023

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models.

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CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

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Mike Zheng Shou

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CTVIS: Consistent Training for Online Video Instance Segmentation.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Conditional Attributes for Compositional Zero-Shot Learning.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

FCOS: A Simple and Strong Anchor-Free Object Detector.

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IEEE Trans. Pattern Anal. Mach. Intell., 2022

ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting.

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IEEE Trans. Pattern Anal. Mach. Intell., 2022

Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration.

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Int. J. Comput. Vis., 2022

Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation.

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CoRR, 2022

COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Learning deep part-aware embedding for person retrieval.

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Pattern Recognit., 2021

NAS-FCOS: Efficient Search for Object Detection Architectures.

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Int. J. Comput. Vis., 2021

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection.

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Int. J. Comput. Vis., 2021

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges.

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[DOI]

Triet Huynh Minh Le

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Muhammad Ali Babar

ACM Comput. Surv., 2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline.

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CoRR, 2021

BoxInst: High-Performance Instance Segmentation With Box Annotations.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generic Perceptual Loss for Modeling Structured Output Dependencies.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization.

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IEEE Trans. Pattern Anal. Mach. Intell., 2020

Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions.

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CoRR, 2020

Architecture Search of Dynamic Cells for Semantic Video Segmentation.

[BibT_eX]

[DOI]

Vladimir Nekrasov

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Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Conditional Convolutions for Instance Segmentation.

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Proceedings of the Computer Vision - ECCV 2020, 2020

Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NAS-FCOS: Fast Neural Architecture Search for Object Detection.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection.

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CoRR, 2019

DirectPose: Direct End-to-End Multi-Person Pose Estimation.

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CoRR, 2019

IR-NAS: Neural Architecture Search for Image Restoration.

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CoRR, 2019

Training Compact Neural Networks via Auxiliary Overparameterization.

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CoRR, 2019

NAS-FCOS: Fast Neural Architecture Search for Object Detection.

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CoRR, 2019

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

FCOS: Fully Convolutional One-Stage Object Detection.

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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.

[BibT_eX]

[DOI]

Vladimir Nekrasov

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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