4 citations · 6 across the 5 of their papers we have counts for
6 papers
SwiTrack: Tri-State Switch for Cross-Modal Object Tracking
Boyue Xu, Ruichao Hou, Tongwei Ren +3
Cross-modal object tracking (CMOT) is an emerging task that maintains target consistency while the video stream switches between different modalities, with only one modality availa…
HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection
Ruichao Hou, Xingyuan Li, Tongwei Ren +3
RGB-thermal salient object detection (RGB-T SOD) aims to identify prominent objects by integrating complementary information from RGB and thermal modalities. However, learning the…
Learning Frequency and Memory-Aware Prompts for Multi-Modal Object Tracking
Boyue Xu, Ruichao Hou, Tongwei Ren +3
Prompt-learning-based multi-modal trackers have made strong progress by using lightweight visual adapters to inject auxiliary-modality cues into frozen foundation models. However,…
RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Network
Boyue Xu, Yi Xu, Ruichao Hou +3
The integration of dual-modal features has been pivotal in advancing RGB-Depth (RGB-D) tracking. However, current trackers are less efficient and focus solely on single-level featu…
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory
Boyue Xu, Ruichao Hou, Tongwei Ren +1
The RGB-Depth (RGB-D) Video Object Segmentation (VOS) aims to integrate the fine-grained texture information of RGB with the spatial geometric clues of depth modality, boosting the…
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
Xingyuan Li, Ruichao Hou, Tongwei Ren +1
Existing RGB-thermal salient object detection (RGB-T SOD) methods aim to identify visually significant objects by leveraging both RGB and thermal modalities to enable robust perfor…