6 papers
Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning
Yiheng Li, Zichang Tan, Guoqing Xu +3
In AI-generated image detection, current cutting-edge methods typically adapt pre-trained foundation models through partial-parameter fine-tuning. However, these approaches often s…
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
Yingjia Xu, Jinlin Wu, Daming Gao +5
Text-based person retrieval aims to identify a target individual from an image gallery using a natural language description. Existing methods primarily focus on appearance-driven c…
Fine-Grained Representation for Lane Topology Reasoning
Guoqing Xu, Yiheng Li, Yang Yang
Precise modeling of lane topology is essential for autonomous driving, as it directly impacts navigation and control decisions. Existing methods typically represent each lane with…
Benefit from Reference: Retrieval-Augmented Cross-modal Point Cloud Completion
Hongye Hou, Liu Zhan, Yang Yang
Completing the whole 3D structure based on an incomplete point cloud is a challenging task, particularly when the residual point cloud lacks typical structural characteristics. Rec…
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection
Yiheng Li, Yang Yang, Zhen Lei
Fusing multi-modality inputs from different sensors is an effective way to improve the performance of 3D object detection. However, current methods overlook two important conflicts…
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
Yiheng Li, Yang Yang, Zhen Lei
In radar-camera 3D object detection, the radar point clouds are sparse and noisy, which causes difficulties in fusing camera and radar modalities. To solve this, we introduce a nov…