Hamid Rezatofighi

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The University of Adelaide ∙ Stanford University

Distributed Multi-object Tracking under Limited Field of View Sensors

We consider the challenging problem of tracking multiple objects using a...
12/23/2020 ∙ by Hoa Van Nguyen, et al. ∙ 0 ∙ share

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MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos

Semantic aware reconstruction is more advantageous than geometric-only r...
12/09/2020 ∙ by Kejie Li, et al. ∙ 0 ∙ share

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Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

Despite the recent advances in multiple object tracking (MOT), achieved ...
12/03/2020 ∙ by Fatemeh Saleh, et al. ∙ 0 ∙ share

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How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?

Performance evaluation is indispensable to the advancement of machine vi...
08/08/2020 ∙ by Hamid Rezatofighi, et al. ∙ 3 ∙ share

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LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags

Tracking and locating radio-tagged wildlife is a labor-intensive and tim...
07/31/2020 ∙ by Hoa Van Nguyen, et al. ∙ 0 ∙ share

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Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors

Wearables are fundamental to improving our understanding of human activi...
07/14/2020 ∙ by Alireza Abedin, et al. ∙ 2 ∙ share

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Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos

The state-of-the art solutions for human activity understanding from a v...
07/06/2020 ∙ by Mahsa Ehsanpour, et al. ∙ 4 ∙ share

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MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...
03/19/2020 ∙ by Patrick Dendorfer, et al. ∙ 17 ∙ share

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JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

An autonomous navigating agent needs to perceive and track the motion of...
02/19/2020 ∙ by Abhijeet Shenoi, et al. ∙ 11 ∙ share

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Learn to Predict Sets Using Feed-Forward Neural Networks

This paper addresses the task of set prediction using deep feed-forward ...
01/30/2020 ∙ by Hamid Rezatofighi, et al. ∙ 30 ∙ share

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Approximating the Permanent by Sampling from Adaptive Partitions

Computing the permanent of a non-negative matrix is a core problem with ...
11/26/2019 ∙ by Jonathan Kuck, et al. ∙ 12 ∙ share

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Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object

We consider the challenging problem of online planning for a team of age...
11/22/2019 ∙ by Hoa Van Nguyen, et al. ∙ 0 ∙ share

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JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments

We present JRDB, a novel dataset collected from our social mobile manipu...
10/25/2019 ∙ by Roberto Martín-Martín, et al. ∙ 15 ∙ share

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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

This paper tackles the problem of video object segmentation. We are spec...
09/28/2019 ∙ by Yu Liu, et al. ∙ 29 ∙ share

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CVPR19 Tracking and Detection Challenge: How crowded can it get?

Standardized benchmarks are crucial for the majority of computer vision ...
06/10/2019 ∙ by Patrick Dendorfer, et al. ∙ 8 ∙ share

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Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Intersection over Union (IoU) is the most popular evaluation metric used...
02/25/2019 ∙ by Hamid Rezatofighi, et al. ∙ 12 ∙ share

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Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

As the post-processing step for object detection, non-maximum suppressio...
01/12/2019 ∙ by Yu Liu, et al. ∙ 12 ∙ share

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Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables

Automatic recognition of human activities from time-series sensor data (...
11/20/2018 ∙ by Alireza Abedin Varamin, et al. ∙ 0 ∙ share

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Hamid Rezatofighi

Featured Co-authors

Daniel Cremers

Stefano Ermon

Ian Reid

Silvio Savarese

Mathieu Salzmann

Yu Liu

Lingqiao Liu

Stephen Gould

Konrad Schindler

Stefan Roth

Laura Leal-Taixé

Distributed Multi-object Tracking under Limited Field of View Sensors

MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?

LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags

Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors

Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos

MOT20: A benchmark for multi object tracking in crowded scenes

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

Learn to Predict Sets Using Feed-Forward Neural Networks

Approximating the Permanent by Sampling from Adaptive Partitions

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object

JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

CVPR19 Tracking and Detection Challenge: How crowded can it get?

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables