Jason Kuen

Orcid: 0000-0001-5099-8145

According to our database¹, Jason Kuen authored at least 62 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Inline Critic Steers Image Editing.

[BibT_eX]

[DOI]

CoRR, May, 2026

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration.

[BibT_eX]

[DOI]

CoRR, March, 2026

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation.

[BibT_eX]

[DOI]

CoRR, March, 2026

ViT-AdaLA: Adapting Vision Transformers with Linear Attention.

[BibT_eX]

[DOI]

CoRR, March, 2026

SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation.

[BibT_eX]

[DOI]

CoRR, March, 2026

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models.

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[DOI]

CoRR, December, 2025

VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction.

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[DOI]

CoRR, December, 2025

HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation.

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[DOI]

CoRR, November, 2025

CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning.

[BibT_eX]

[DOI]

CoRR, October, 2025

Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation.

[BibT_eX]

[DOI]

CoRR, September, 2025

Image Tokenizer Needs Post-Training.

[BibT_eX]

[DOI]

CoRR, September, 2025

Refer to Anything with Vision-Language Prompts.

[BibT_eX]

[DOI]

CoRR, June, 2025

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis.

[BibT_eX]

[DOI]

CoRR, March, 2025

LaViDa: A Large Diffusion Language Model for Multimodal Understanding.

[BibT_eX]

[DOI]

Shufan Li

Konstantinos Kallidromitis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ImageFolder: Autoregressive Image Generation with Folded Tokens.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Refer to Any Segmentation Mask Group with Vision-Language Prompts.

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[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

conSAMme: Achieving Consistent Segmentations with SAM.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.

[BibT_eX]

[DOI]

CoRR, 2024

ControlVAR: Exploring Controllable Visual Autoregressive Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-aware Fine-tuning of Segmentation Foundation Models.

[BibT_eX]

[DOI]

Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ADOPD: A Large-Scale Document Page Decomposition Dataset.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis.

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[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Open World Entity Segmentation.

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[DOI]

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

AIMS: All-Inclusive Multi-Level Segmentation.

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CoRR, 2023

PRN: Panoptic Refinement Network.

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[DOI]

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

AIMS: All-Inclusive Multi-Level Segmentation for Anything.

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[DOI]

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

High Quality Entity Segmentation.

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[DOI]

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

A Critical Analysis of Document Out-of-Distribution Detection.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TopNet: Transformer-Based Object Placement Network for Image Compositing.

[BibT_eX]

[DOI]

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

SceneComposer: Any-Level Semantic Image Synthesis.

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[DOI]

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

2022

Fine-Grained Entity Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork.

[BibT_eX]

[DOI]

CoRR, 2022

Unified Pretraining Framework for Document Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving the Reliability for Confidence Estimation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

High Quality Segmentation for Ultra High-resolution Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

UniDoc: Unified Pretraining Framework for Document Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Contrastive Training for Visual Representation Learning.

[BibT_eX]

[DOI]

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

Multi-Scale Aligned Distillation for Low-Resolution Detection.

[BibT_eX]

[DOI]

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

SelfDoc: Self-Supervised Document Representation Learning.

[BibT_eX]

[DOI]

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

2020

Self-Supervised Relationship Probing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Scaling Object Detection by Transferring Classification Weights.

[BibT_eX]

[DOI]

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

2018

Recent advances in convolutional neural networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Motion-Guided Cascaded Refinement Network for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows.

[BibT_eX]

[DOI]

Jason Kuen

Xiangfei Kong

Gang Wang

CoRR, 2016

Recurrent Attentional Networks for Saliency Detection.

[BibT_eX]

[DOI]

Jason Kuen

Zhenhua Wang

Gang Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle.

[BibT_eX]

[DOI]

Jason Kuen

Kian-Ming Lim

Chin-Poo Lee

Pattern Recognit., 2015

Recent Advances in Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Jason Kuen

Timeline

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On csauthors.net:

Bibliography

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