10 citations · 35 across the 11 of their papers we have counts for
12 papers
Grounding Generative Verification in 3D Content
Shuanglin Li, Jiaying Lin, Shuquan Ye
Recent advances in multimodal large language models (MLLMs) and 3D generation have expanded 3D understanding and synthesis. However, beyond visual fidelity, task-specific correctne…
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…
GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning
Jiayi Lin, Shaogang Gong
A vision-language foundation model pretrained on very large-scale image-text paired data has the potential to provide generalizable knowledge representation for downstream visual r…
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…
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
Ruozhen He, Qihua Dong, Jiaying Lin +1
Existing camouflaged object detection (COD) methods rely heavily on large-scale datasets with pixel-wise annotations. However, due to the ambiguous boundary, annotating camouflage…
Symmetry-Aware Transformer-based Mirror Detection
Tianyu Huang, Bowen Dong, Jiaying Lin +3
Mirror detection aims to identify the mirror regions in the given input image. Existing works mainly focus on integrating the semantic features and structural features to mine spec…
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection
Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye +1
Glass surfaces are becoming increasingly ubiquitous as modern buildings tend to use a lot of glass panels. This, however, poses substantial challenges to the operations of autonomo…
Modeling Long-Term Memory and Temporal Attention Shifts for Video Salient Object Ranking with a New Benchmark
Jiaying Lin, Rui Song, Huankang Guan +3
Salient Object Ranking (SOR) aims to estimate the relative saliency order among multiple salient objects. While SOR has been extensively studied in static images, Video Salient Obj…