10 citations · 15 across the 9 of their papers we have counts for
9 papers · 1 filter
Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-Distillation
Shiyu Xuan, Zechao Li
GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters after deployment, limiting their ability to adapt to unseen inter…
VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification
Chao Ji, Shiyu Xuan, Zechao Li
Aerial-ground person re-identification is a challenging task due to cross-platform viewpoint variations, which cause severe occlusion and geometric deformation. Existing methods at…
Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
Shiyu Xuan, Dongkai Wang, Zechao Li +1
Zero-shot Human-object interaction (HOI) detection aims to locate humans and objects in images and recognize their interactions. While advances in open-vocabulary object detection…
Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking
Shiyu Xuan, Zechao Li, Jinhui Tang
Multi-modal object tracking integrates auxiliary modalities such as depth, thermal infrared, event flow, and language to provide additional information beyond RGB images, showing g…
Dataset Distillation for Histopathology Image Classification
Cong Cong, Shiyu Xuan, Sidong Liu +3
Deep neural networks (DNNs) have exhibited remarkable success in the field of histopathology image analysis. On the other hand, the contemporary trend of employing large models and…
LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model
Dongkai Wang, Shiyu Xuan, Shiliang Zhang
The capacity of existing human keypoint localization models is limited by keypoint priors provided by the training data. To alleviate this restriction and pursue more general model…
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan, Shiliang Zhang
Supervised Contrastive Loss (SCL) is popular in visual representation learning. Given an anchor image, SCL pulls two types of positive samples, i.e., its augmentation and other ima…
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
Shiyu Xuan, Qingpei Guo, Ming Yang +1
Multi-modal Large Language Models (MLLMs) have shown remarkable capabilities in various multi-modal tasks. Nevertheless, their performance in fine-grained image understanding tasks…
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Shiyu Xuan, Shiliang Zhang
Most of unsupervised person Re-Identification (Re-ID) works produce pseudo-labels by measuring the feature similarity without considering the distribution discrepancy among cameras…