16 citations · 30 across the 10 of their papers we have counts for
10 papers
Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter
Bo Jiang, Xueyang Ze, Beibei Wang +3
Textual adapter-based tuning methods have shown significant potential in transferring knowledge from pre-trained Vision-Language Models (VLMs) to downstream tasks. Existing works g…
MambaEVT: Event Stream based Visual Object Tracking using State Space Model
Xiao Wang, Chao wang, Shiao Wang +4
Event camera-based visual tracking has drawn more and more attention in recent years due to the unique imaging principle and advantages of low energy consumption, high dynamic rang…
Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining
Xixi Wang, Zitian Wang, Jingtao Jiang +3
Current works focus on addressing the remote sensing change detection task using bi-temporal images. Although good performance can be achieved, however, seldom of they consider the…
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
Zhengzheng Tu, Le Gu, Xixi Wang +1
Segment Anything Model (SAM) has recently achieved amazing results in the field of natural image segmentation. However, it is not effective for medical image segmentation, owing to…
VcT: Visual change Transformer for Remote Sensing Image Change Detection
Bo Jiang, Zitian Wang, Xixi Wang +4
Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions betwe…
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
Xixi Wang, Bo Jiang, Xiao Wang +1
Exploring sample relationships within each mini-batch has shown great potential for learning image representations. Existing works generally adopt the regular Transformer to model…
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang, Xiao Wang, Bo Jiang +1
Few-shot classification which aims to recognize unseen classes using very limited samples has attracted more and more attention. Usually, it is formulated as a metric learning prob…
MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention
Xixi Wang, Xiao Wang, Bo Jiang +2
Aggregating multi-modality data to obtain reliable data representation attracts more and more attention. Recent studies demonstrate that Transformer models usually work well for mu…
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification
Bo Jiang, Xixi Wang, Jin Tang
Discriminative feature representation of person image is important for person re-identification (Re-ID) task. Recently, attributes have been demonstrated beneficially in guiding fo…
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
Bo Jiang, Xixi Wang, Bin Luo
The person re-identification (Re-ID) task requires to robustly extract feature representations for person images. Recently, part-based representation models have been widely studie…