• Publications
  • Influence
The Visual Object Tracking VOT2016 Challenge Results
TLDR
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Expand
Single-Shot Refinement Neural Network for Object Detection
TLDR
We propose a novel single-shot based detector, called RefineDet, that achieves better accuracy than two-stage methods and maintains comparable efficiency of one- stage methods. Expand
The Visual Object Tracking VOT2017 Challenge Results
TLDR
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Expand
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
TLDR
We propose a new occlusion-aware R-CNN (OR-CNN) to improve the detection accuracy in the crowd. Expand
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking
TLDR
We perform a quantitative study on the effects of object detection accuracy to the overall MOT performance, using the new large-scale University at Albany DETection and tRACking (UA-DETRAC) benchmark dataset. Expand
Vision Meets Drones: A Challenge
TLDR
We present a large-scale visual object detection and tracking benchmark, named VisDrone2018, aiming at advancing visual understanding tasks on the drone platform. Expand
The Fastest Deformable Part Model for Object Detection
TLDR
This paper solves the speed bottleneck of deformable part model (DPM), while maintaining the accuracy in detection on challenging datasets. Expand
JOTS: Joint Online Tracking and Segmentation
TLDR
We present a novel Joint Online Tracking and Segmentation (JOTS) algorithm which integrates the multi-part tracking and segmentation into a unified energy optimization framework to handle the video segmentation task. Expand
Stochastic Online AUC Maximization
TLDR
We propose a new stochastic online algorithm for AUC maximization which has time and space complexity of one datum. Expand
The Visual Object Tracking VOT2013 Challenge Results
TLDR
We present the VOT2013 benchmark dataset for evaluation of single-object visual trackers as well as results obtained by the trackers competing in the challenge. Expand
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