activity
20142023
most citedMultiple Object Tracking: A Literature Review

1.1k citations · 2.6k across the 31 of their papers we have counts for

collaborators

31 papers

cs.CV2023

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking

Jianqiang Xia, DianXi Shi, Ke Song +11

Most existing RGB-T tracking networks extract modality features in a separate manner, which lacks interaction and mutual guidance between modalities. This limits the network's abil…

cs.CV2023★ 7 cited

Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System

Xue-Feng Zhu, Tianyang Xu, Jian Zhao +9

Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military. However, their potential for safety and privacy violation…

cs.CV2023

Shuffled Autoregression For Motion Interpolation

Shuo Huang, Jia Jia, Zongxin Yang +4

This work aims to provide a deep-learning solution for the motion interpolation task. Previous studies solve it with geometric weight functions. Some other works propose neural net…

cs.CV2023★ 2 cited

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

Jian Zhao, Jianan Li, Lei Jin +20

The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UA…

cs.CV2021★ 1 cited

Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection

Ajian Liu, Chenxu Zhao, Zitong Yu +11

Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from…

cs.CV2021★ 70 cited

Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

Nan Jiang, Kuiran Wang, Xiaoke Peng +7

Unmanned Aerial Vehicle (UAV) offers lots of applications in both commerce and recreation. With this, monitoring the operation status of UAVs is crucially important. In this work,…