5 papers
Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework
Pan Liao, Feng Yang, Di Wu +3
Semantic Multi-Object Tracking (SMOT) is evolving from purely geometric localization toward comprehensive video understanding. However, existing paradigms predominantly rely on clo…
StereoMV2D: A Sparse Temporal Stereo-Enhanced Framework for Robust Multi-View 3D Object Detection
Di Wu, Feng Yang, Wenhui Zhao +4
Multi-view 3D object detection is a fundamental task in autonomous driving perception, where achieving a balance between detection accuracy and computational efficiency remains cru…
FastTrackTr:Towards Fast Multi-Object Tracking with Transformers
Pan Liao, Feng Yang, Di Wu +3
Transformer-based multi-object tracking (MOT) methods have captured the attention of many researchers in recent years. However, these models often suffer from slow inference speeds…
DecoderTracker: Decoder-Only Method for Multiple-Object Tracking
Liao Pan, Yang Feng, Zhao Wenhui +2
Decoder-only methods, such as GPT, have demonstrated superior performance in many areas compared to traditional encoder-decoder structure transformer methods. Over the years, end-t…
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector
Pan Liao, Feng Yang, Di Wu +2
Monocular 3D object detection has vast application potential across various fields. DETR-type models have shown remarkable performance in different areas, but there is still consid…