activity
20202024
most citedAnti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

70 citations · 105 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024

The SkatingVerse Workshop & Challenge: Methods and Results

Jian Zhao, Lei Jin, Jianshu Li +16

The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…

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★ 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.CV2023★ 11 cited

Single-stage Multi-human Parsing via Point Sets and Center-based Offsets

Jiaming Chu, Lei Jin, Junliang Xing +1

This work studies the multi-human parsing problem. Existing methods, either following top-down or bottom-up two-stage paradigms, usually involve expensive computational costs. We i…

cs.CV2022

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Pengfei Chen, Xuehui Yu, Xumeng Han +7

Object detection using single point supervision has received increasing attention over the years. However, the performance gap between point supervised object detection (PSOD) and…

cs.CV2021★ 9 cited

The 2nd Anti-UAV Workshop & Challenge: Methods and Results

Jian Zhao, Gang Wang, Jianan Li +9

The 2nd 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-U…

cs.CV2021★ 4 cited

Rethinking Sampling Strategies for Unsupervised Person Re-identification

Xumeng Han, Xuehui Yu, Guorong Li +5

Unsupervised person re-identification (re-ID) remains a challenging task. While extensive research has focused on the framework design and loss function, this paper shows that samp…

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,…

cs.CV2020★ 3 cited

Effective Fusion Factor in FPN for Tiny Object Detection

Yuqi Gong, Xuehui Yu, Yao Ding +3

FPN-based detectors have made significant progress in general object detection, e.g., MS COCO and PASCAL VOC. However, these detectors fail in certain application scenarios, e.g.,…

cs.CV2020★ 6 cited

The 1st Tiny Object Detection Challenge:Methods and Results

Xuehui Yu, Zhenjun Han, Yuqi Gong +22

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a…