4 citations · 4 across the 4 of their papers we have counts for
6 papers · 1 filter
MirrorMamba: Towards Scalable and Robust Mirror Detection in Videos
Rui Song, Jiaying Lin, Rynson W. H. Lau
Video mirror detection has received significant research attention, yet existing methods suffer from limited performance and robustness. These approaches often over-rely on single,…
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Youjun Zhao, Jiaying Lin, Rynson W. H. Lau
Open-vocabulary 3D object detection (OV-3DOD) aims at localizing and classifying novel objects beyond closed sets. The recent success of vision-language models (VLMs) has demonstra…
Do MLLMs Exhibit Human-like Perceptual Behaviors? HVSBench: A Benchmark for MLLM Alignment with Human Perceptual Behavior
Jiaying Lin, Shuquan Ye, Dan Xu +2
While Multimodal Large Language Models (MLLMs) excel at many vision tasks, it is unknown if they exhibit human-like perceptual behaviors. To evaluate this, we introduce HVSBench, t…
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension
Zaiquan Yang, Yuhao Liu, Jiaying Lin +2
This paper explores the weakly-supervised referring image segmentation (WRIS) problem, and focuses on a challenging setup where target localization is learned directly from image-t…
OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
Youjun Zhao, Jiaying Lin, Shuquan Ye +2
Open-vocabulary 3D scene understanding (OV-3D) aims to localize and classify novel objects beyond the closed set of object classes. However, existing approaches and benchmarks prim…
Efficient Mirror Detection via Multi-level Heterogeneous Learning
Ruozhen He, Jiaying Lin, Rynson W. H. Lau
We present HetNet (Multi-level \textbf{Het}erogeneous \textbf{Net}work), a highly efficient mirror detection network. Current mirror detection methods focus more on performance tha…