activity
20232025
most citedMulti-modal Attribute Prompting for Vision-Language Models

24 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Adaptive Agent Selection and Interaction Network for Image-to-point cloud Registration

Zhixin Cheng, Xiaotian Yin, Jiacheng Deng +5

Typical detection-free methods for image-to-point cloud registration leverage transformer-based architectures to aggregate cross-modal features and establish correspondences. Howev…

cs.CV2025★ 4 cited

UniSOT: A Unified Framework for Multi-Modality Single Object Tracking

Yinchao Ma, Yuyang Tang, Wenfei Yang +3

Single object tracking aims to localize target object with specific reference modalities (bounding box, natural language or both) in a sequence of specific video modalities (RGB, R…

cs.CV2025

GRAM-MAMBA: Holistic Feature Alignment for Wireless Perception with Adaptive Low-Rank Compensation

Weiqi Yang, Xu Zhou, Jingfu Guan +2

Multi-modal fusion is crucial for Internet of Things (IoT) perception, widely deployed in smart homes, intelligent transport, industrial automation, and healthcare. However, existi…

cs.CV2024★ 1 cited

DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

Jiahao Lu, Jiacheng Deng, Ruijie Zhu +4

Dynamic scenes rendering is an intriguing yet challenging problem. Although current methods based on NeRF have achieved satisfactory performance, they still can not reach real-time…

cs.CV2024★ 24 cited

Multi-modal Attribute Prompting for Vision-Language Models

Xin Liu, Jiamin Wu, and Wenfei Yang +2

Pre-trained Vision-Language Models (VLMs), like CLIP, exhibit strong generalization ability to downstream tasks but struggle in few-shot scenarios. Existing prompting techniques pr…

cs.RO2023★ 1 cited

AirIMU: Learning Uncertainty Propagation for Inertial Odometry

Yuheng Qiu, Chen Wang, Can Xu +4

Inertial odometry (IO) using strap-down inertial measurement units (IMUs) is critical in many robotic applications where precise orientation and position tracking are essential. Pr…