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10/15/2020
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Standardized benchmarks have been crucial in pushing the performance of ...
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03/19/2020
MOT20: A benchmark for multi object tracking in crowded scenes
Standardized benchmarks are crucial for the majority of computer vision ...
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01/30/2020
Learn to Predict Sets Using Feed-Forward Neural Networks
This paper addresses the task of set prediction using deep feed-forward ...
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06/10/2019
CVPR19 Tracking and Detection Challenge: How crowded can it get?
Standardized benchmarks are crucial for the majority of computer vision ...
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10/01/2018
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Autonomous robotic manipulation in clutter is challenging. A large varie...
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10/27/2017
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Human poses and motions are important cues for analysis of videos with p...
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09/13/2017
Joint Learning of Set Cardinality and State Distribution
We present a novel approach for learning to predict sets using deep lear...
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04/10/2017
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking
Standardized benchmarks are crucial for the majority of computer vision ...
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11/28/2016
DeepSetNet: Predicting Sets with Deep Neural Networks
This paper addresses the task of set prediction using deep learning. Thi...
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11/23/2016
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
In this work, we introduce the challenging problem of joint multi-person...
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11/20/2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Recently, very deep convolutional neural networks (CNNs) have shown outs...
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04/13/2016
Online Multi-Target Tracking Using Recurrent Neural Networks
We present a novel approach to online multi-target tracking based on rec...
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03/02/2016
MOT16: A Benchmark for Multi-Object Tracking
Standardized benchmarks are crucial for the majority of computer vision ...
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04/08/2015
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
In the recent past, the computer vision community has developed centrali...
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09/26/2014