Jiaying Lin

About Me

News

• Mar 2026UniFunc3D is available on arXiv.
• Feb 2026HVSBench is accepted to CVPR 2026 Findings.
• Feb 2026Our operando infrared dynamics benchmark is available on arXiv.
• Nov 2025One paper is accepted to AAAI 2026.
• Oct 2025One paper is accepted to TIP.
• Dec 2024Two papers are accepted to AAAI 2025.
• Sep 2024One paper is accepted to NeurIPS 2024.
• Aug 2024We released OpenScan, a benchmark for generalized open-vocabulary 3D scene understanding.

Selected Publications Show All

^* Equal contribution; ^# corresponding author; @ junior undergraduate mentee.

• 

  UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Functionality Segmentation

  Jiaying Lin, Dan Xu.
  arXiv Preprint, 2603.23478.
  project arxiv

• 

  Do MLLMs Exhibit Human-like Perceptual Behaviors? HVSBench: A Benchmark for MLLM Alignment with Human Perceptual Behavior

  Jiaying Lin^*, Shuquan Ye^*, Dan Xu, Wanli Ouyang, Rynson W.H. Lau.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Findings).
  project arxiv

• 

  From Static Spectra to Operando Infrared Dynamics: Physics Informed Flow Modeling and a Benchmark

  Shuquan Ye, Ben Fei, Hongbin Xu, Jiaying Lin, Wanli Ouyang.
  arXiv Preprint.
  arxiv

• 

  OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding

  Youjun Zhao, Jiaying Lin#, Shuquan Ye, Qianshi Pang@, Rynson W.H. Lau.
  Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
  arxiv code and data Zhihu (in Chinese)

• 

  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 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 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 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, 10.9%)
  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, 10.9%)
  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, 5.16%)
  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

• 

  Rethinking Video Salient Object Ranking

  Jiaying Lin, Huankang Guan, Rynson W.H. Lau.
  Arxiv, 2022.
  arxiv

• 

  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

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