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12/10/2022
Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting
Existing deep learning-based traffic forecasting models are mainly train...
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12/03/2022
Laplacian Convolutional Representation for Traffic Time Series Imputation
Spatiotemporal traffic data imputation is of great significance in intel...
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11/28/2022
Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression
The problem of broad practical interest in spatiotemporal data analysis,...
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04/19/2022
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition
Human action recognition (HAR) in videos is one of the core tasks of vid...
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03/20/2022
Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting
Modern time series datasets are often high-dimensional, incomplete/spars...
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12/02/2021
Trajectory Clustering Performance Evaluation: If we know the answer, it's not clustering
Advancements in Intelligent Traffic Systems (ITS) have made huge amounts...
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11/02/2021
PolyTrack: Tracking with Bounding Polygons
In this paper, we present a novel method called PolyTrack for fast multi...
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10/21/2021
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
We propose a method for multi-object tracking and segmentation that does...
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09/15/2021
FFAVOD: Feature Fusion Architecture for Video Object Detection
A significant amount of redundancy exists between consecutive frames of ...
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08/19/2021
CenterPoly: real-time instance segmentation using bounding polygons
We present a novel method, called CenterPoly, for real-time instance seg...
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07/15/2021
MeNToS: Tracklets Association with a Space-Time Memory Network
We propose a method for multi-object tracking and segmentation (MOTS) th...
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04/30/2021
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Spatiotemporal traffic time series (e.g., traffic volume/speed) collecte...
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10/17/2020
A Grid-based Representation for Human Action Recognition
Human action recognition (HAR) in videos is a fundamental research topic...
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10/15/2020
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
This paper addresses the problem of selecting appearance features for mu...
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03/30/2020
Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study
In this paper, we propose a multiple object tracker, called MF-Tracker, ...
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03/24/2020
RN-VID: A Feature Fusion Architecture for Video Object Detection
Consecutive frames in a video are highly redundant. Therefore, to perfor...
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02/13/2020
SpotNet: Self-Attention Multi-Task Network for Object Detection
Humans are very good at directing their visual attention toward relevant...
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01/20/2020
Autocamera Calibration for traffic surveillance cameras with wide angle lenses
We propose a method for automatic calibration of a traffic surveillance ...
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05/15/2019
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
In this paper, we propose to combine detections from background subtract...
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03/28/2019
Road User Detection in Videos
Successive frames of a video are highly redundant, and the most popular ...
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09/06/2018
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector
Multiple object tracking (MOT) in urban traffic aims to produce the traj...
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01/29/2018
Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing
In this paper, we present a new method for detecting road users in an ur...
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04/27/2012
Background subtraction based on Local Shape
We present a novel approach to background subtraction that is based on t...
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12/21/2010
