Jason Kuen
33 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
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Conferences
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ECCV (5)
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NIPS (4)
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AAAI (2)
ACL (1)
EMNLP (1)
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Keywords
semantic segmentation
(6)
self-supervised learning
(3)
object detection
(3)
multimodal learning
(3)
document understanding
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instance segmentation
(3)
contrastive learning
(3)
knowledge distillation
(2)
feature extraction
(2)
transfer learning
(2)
document analysis
(2)
diffusion model
(2)
entity segmentation
(2)
attention mechanism
(2)
image segmentation
(2)
convolutional neural network
(2)
uncertainty quantification
(1)
computer vision
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zero-shot learning
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transformer architecture
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Papers
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
Refer to Any Segmentation Mask Group With Vision-Language Prompts
ICCV 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
ImageFolder: Autoregressive Image Generation with Folded Tokens
ICLR 2025
DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models
ICCV 2025
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
ECCV 2024
ADOPD: A Large-Scale Document Page Decomposition Dataset
ICLR 2024
MAGICK: A Large-scale Captioned Dataset from Matting Generated Images using Chroma Keying
CVPR 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NIPS 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
ICLR 2024
SceneComposer: Any-Level Semantic Image Synthesis
CVPR 2023
AIMS: All-Inclusive Multi-Level Segmentation for Anything
NIPS 2023
TopNet: Transformer-Based Object Placement Network for Image Compositing
CVPR 2023
A Critical Analysis of Document Out-of-Distribution Detection
EMNLP 2023
High Quality Entity Segmentation
ICCV 2023
PRN: Panoptic Refinement Network
WACV 2023
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
ACL 2022
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
CVPR 2022
Improving the Reliability for Confidence Estimation
ECCV 2022
High Quality Segmentation for Ultra High-Resolution Images
CVPR 2022
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing
ECCV 2022
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
ECCV 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
ECCV 2022
Multimodal Contrastive Training for Visual Representation Learning
CVPR 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
SelfDoc: Self-Supervised Document Representation Learning
CVPR 2021
UniDoc: Unified Pretraining Framework for Document Understanding
NIPS 2021
Self-Supervised Relationship Probing
NIPS 2020
Scaling Object Detection by Transferring Classification Weights
ICCV 2019
Motion-Guided Cascaded Refinement Network for Video Object Segmentation
CVPR 2018
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification
CVPR 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
CVPR 2018
Recurrent Attentional Networks for Saliency Detection
CVPR 2016