activity
20232026
most citedMotion State: A New Benchmark Multiple Object Tracking

6 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection

Di Wu, Feng Yang, Benlian Xu +3

The application of vision-based multi-view environmental perception system has been increasingly recognized in autonomous driving technology, especially the BEV-based models. Curre…

cs.CV2024★ 1 cited

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…

cs.CV2024★ 1 cited

A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving

Di Wu, Feng Yang, Benlian Xu +2

With the rapid advancement of autonomous driving technology, there is a growing need for enhanced safety and efficiency in the automatic environmental perception of vehicles during…

cs.CV2024★ 1 cited

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…

cs.CV2023★ 6 cited

Motion State: A New Benchmark Multiple Object Tracking

Yang Feng, Liao Pan, Wu Di +2

In the realm of video analysis, the field of multiple object tracking (MOT) assumes paramount importance, with the motion state of objects-whether static or dynamic relative to the…

cs.CV2023

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…