All Publications [Back]

    (* indicates equal contribution, # indicates corresponding author, @ indicates undergraduate student I mentored.)

A Contrastive-Learning Framework for Unsupervised Salient Object Detection

Huankang Guan, Jiaying Lin, Rynson W.H. Lau.
IEEE Transactions on Image Processing (TIP), 2025.
[project] [paper] [code]

Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection

Jiaying Lin*, Yuen-Hei Yeung*, Shuquan Ye, Rynson W.H. Lau.
Thirty-Ninth Conference AAAI Conference on Artificial Intelligence (AAAI), 2025.
[project] [arxiv] [paper] [code]

Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection

Youjun Zhao*, Jiaying Lin*, Rynson W.H. Lau.
Thirty-Ninth Conference AAAI Conference on Artificial Intelligence (AAAI), 2025.
[project] [paper] [code]

Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension

Zaiquan Yang, Yuhao Liu, Jiaying Lin, Gerhard Hancke, Rynson W.H. Lau.
Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), 2024.
[paper]

Effective Video Mirror Detection with Inconsistent Motion Cues

Alex Warren, Ke Xu, Jiaying Lin, Gary Tam, Rynson W.H. Lau.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[project] [paper] [code]

Multi-view Dynamic Reflection Prior for Video Glass Surface Detection

Fang Liu, Yuhao Liu, Jiaying Lin#, Ke Xu, Rynson W.H. Lau.
Thirty-Eighth Conference AAAI Conference on Artificial Intelligence (AAAI), 2024.
[project] [paper] [code]

Self-supervised Pre-training for Mirror Detection

Jiaying Lin, Rynson W.H. Lau.
IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[project] [paper] [code]

Learning to Detect Mirrors from Videos via Dual Correspondences

Jiaying Lin*, Xin Tan*, Rynson W.H. Lau.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[project] [paper] [code]

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations

Ruozhen He@*, Qihua Dong@*, Jiaying Lin#, Rynson W.H. Lau
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (Oral)
[project] [arxiv] [paper] [code and dataset]

Efficient Mirror Detection via Multi-level Heterogeneous Learning

Ruozhen He@, Jiaying Lin#, Rynson W.H. Lau
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (Oral)
[arxiv] [paper] [code]

Symmetry-Aware Transformer-based Mirror Detection

Tianyu Huang@, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W.H. Lau, Wangmeng Zuo
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
[arxiv] [code]

Exploiting Semantic Relations for Glass Surface Detection

Jiaying Lin*, Yuen-Hei Yeung*@, Rynson W.H. Lau.
Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. (Spotlight)
[project] [paper] [code] [dataset]

Frequency-aware Camouflaged Object Detection

Jiaying Lin*, Xin Tan*, Ke Xu, Lizhuang Ma, Rynson W.H. Lau.
ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2022.
[paper] [results]

Mirror Detection with the Visual Chirality Cue

Xin Tan, Jiaying Lin, Ke Xu, Pan Chen, Lizhuang Ma, Rynson W.H. Lau.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[paper]

Learning Semantic Associations for Mirror Detection

Huankang Guan, Jiaying Lin, Rynson W.H. Lau.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[paper] [poster] [code]

Rich Context Aggregation with Reflection Prior for Glass Surface Detection

Jiaying Lin, Zebang He, Rynson W.H. Lau.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[project] [paper] [code] [dataset]

Progressive Mirror Detection

Jiaying Lin, Guodong Wang, Rynson W.H. Lau.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[project] [paper] [code] [dataset]

Coherence and Identity Learning for Arbitrary-length Face Video Generation

Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He.
International Conference on Pattern Recognition (ICPR), 2020.
[paper]

An Estimation of Distribution Algorithm for Large-Scale Optimization with Cooperative Co-evolution and Local Search

Jiaying Lin, Wei-Neng Chen, Jun Zhang.
International Conference on Information Science and Technology (ICONIP), 2018.
[paper]

Two-dimensional-reduction Random Forest

Shuquan Ye, Zhiwen Yu, Jiaying Lin, Kaixiang Yang, Dan Dai, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang.
International Conference on Information Science and Technology (ICIST), (Oral), 2018.
[paper]