213 citations · 380 across the 16 of their papers we have counts for
18 papers
MeMOT: Multi-Object Tracking with Memory
Jiarui Cai, Mingze Xu, Wei Li +4
We propose an online tracking algorithm that performs the object detection and data association under a common framework, capable of linking objects after a long time span. This is…
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Wei Li, Yuanjun Xiong, Shuo Yang +3
Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances. Previous methods for learning appearance embedding mostly rely o…
Long Short-Term Transformer for Online Action Detection
Mingze Xu, Yuanjun Xiong, Hao Chen +4
We present Long Short-term TRansformer (LSTR), a temporal modeling algorithm for online action detection, which employs a long- and short-term memory mechanism to model prolonged s…
TubeR: Tubelet Transformer for Video Action Detection
Jiaojiao Zhao, Yanyi Zhang, Xinyu Li +10
We propose TubeR: a simple solution for spatio-temporal video action detection. Different from existing methods that depend on either an off-line actor detector or hand-designed ac…
Stepwise Goal-Driven Networks for Trajectory Prediction
Chuhua Wang, Yuchen Wang, Mingze Xu +1
We propose to predict the future trajectories of observed agents (e.g., pedestrians or vehicles) by estimating and using their goals at multiple time scales. We argue that the goal…
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao, Xiang Xu, Mingze Xu +3
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images. It is based on the hypothesis that images' distinct so…
Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery
Yuchen Wang, Mingze Xu, John Paden +3
Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate. Ground-penetrating rad…
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu +3
Video anomaly detection (VAD) has been extensively studied. However, research on egocentric traffic videos with dynamic scenes lacks large-scale benchmark datasets as well as effec…
Embodied Visual Recognition
Jianwei Yang, Zhile Ren, Mingze Xu +4
Passive visual systems typically fail to recognize objects in the amodal setting where they are heavily occluded. In contrast, humans and other embodied agents have the ability to…
StartNet: Online Detection of Action Start in Untrimmed Videos
Mingfei Gao, Mingze Xu, Larry S. Davis +2
We propose StartNet to address Online Detection of Action Start (ODAS) where action starts and their associated categories are detected in untrimmed, streaming videos. Previous met…
Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang +2
Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems…
Temporal Recurrent Networks for Online Action Detection
Mingze Xu, Mingfei Gao, Yi-Ting Chen +2
Most work on temporal action detection is formulated as an offline problem, in which the start and end times of actions are determined after the entire video is fully observed. How…
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi +3
Predicting the future location of vehicles is essential for safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous driving. This paper introd…
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang +2
In a world of pervasive cameras, public spaces are often captured from multiple perspectives by cameras of different types, both fixed and mobile. An important problem is to organi…
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition
Mingze Xu, Aidean Sharghi, Xin Chen +1
A major emerging challenge is how to protect people's privacy as cameras and computer vision are increasingly integrated into our daily lives, including in smart devices inside hom…
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Mingze Xu, Chenyou Fan, John D Paden +2
Deep learning methods have surpassed the performance of traditional techniques on a wide range of problems in computer vision, but nearly all of this work has studied consumer phot…
Automatic Estimation of Ice Bottom Surfaces from Radar Imagery
Mingze Xu, David J Crandall, Geoffrey C Fox +1
Ground-penetrating radar on planes and satellites now makes it practical to collect 3D observations of the subsurface structure of the polar ice sheets, providing crucial data for…
Identifying First-person Camera Wearers in Third-person Videos
Chenyou Fan, Jangwon Lee, Mingze Xu +4
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wea…