4 citations · 6 across the 7 of their papers we have counts for
8 papers
SAM: A Single-Stream SAM with Reliability-Calibrated Frequency Adapter for Multi-modal Salient Object Detection
Ruichao Hou, Boyue Xu, Tongwei Ren +3
Vision foundation models have recently advanced multi-modal salient object detection (MSOD) through parameter-efficient tuning and prompt learning. However, existing Segment Anythi…
VL-UniTrack: A Unified Framework with Visual-Language Prompts for UAV-Ground Visual Tracking
Boyue Xu, Ruichao Hou, Tongwei Ren +1
UAV-ground visual tracking (UGVT) aims to simultaneously track the same object from both the UAV and the ground view. However, existing two-stream methods suffer from isolated feat…
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…
MTNet: Learning modality-aware representation with transformer for RGBT tracking
Ruichao Hou, Boyue Xu, Tongwei Ren +1
The ability to learn robust multi-modality representation has played a critical role in the development of RGBT tracking. However, the regular fusion paradigm and the invariable tr…
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…
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang +4
In recent years, 2D human pose estimation has made significant progress on public benchmarks. However, many of these approaches face challenges of less applicability in the industr…