Hamid Rezatofighi

research

∙ 04/12/2023

Real-time Trajectory-based Social Group Detection

Social group detection is a crucial aspect of various robotic applicatio...

0 Simindokht Jahangard, et al. ∙

research

∙ 04/05/2023

Knowledge Combination to Learn Rotated Detection Without Rotated Annotation

Rotated bounding boxes drastically reduce output ambiguity of elongated ...

5 Tianyu Zhu, et al. ∙

research

∙ 01/25/2023

Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking

Tracking individuals is a vital part of many experiments conducted to un...

0 Chamath Abeysinghe, et al. ∙

research

∙ 11/23/2022

ActiveRMAP: Radiance Field for Active Mapping And Planning

A high-quality 3D reconstruction of a scene from a collection of 2D imag...

0 Huangying Zhan, et al. ∙

research

∙ 11/23/2022

Predicting Topological Maps for Visual Navigation in Unexplored Environments

We propose a robotic learning system for autonomous exploration and navi...

0 Huangying Zhan, et al. ∙

research

∙ 11/12/2022

MARLIN: Masked Autoencoder for facial video Representation LearnINg

This paper proposes a self-supervised approach to learn universal facial...

0 Zhixi Cai, et al. ∙

research

∙ 10/20/2022

JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking

Autonomous robotic systems operating in human environments must understa...

0 Edward Vendrow, et al. ∙

research

∙ 03/30/2022

Learning of Global Objective for Network Flow in Multi-Object Tracking

This paper concerns the problem of multi-object tracking based on the mi...

0 Shuai Li, et al. ∙

research

∙ 03/09/2022

Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects

We consider the online planning problem for a team of agents to discover...

0 Hoa Van Nguyen, et al. ∙

research

∙ 12/31/2021

PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud

We present PiFeNet, an efficient and accurate real-time 3D detector for ...

0 Duy-Tho Le, et al. ∙

research

∙ 10/12/2021

Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables

Human activity recognition (HAR) is an important research field in ubiqu...

0 Alireza Abedin, et al. ∙

research

∙ 08/23/2021

ODAM: Object Detection, Association, and Mapping using Posed RGB Video

Localizing objects and estimating their extent in 3D is an important ste...

9 Kejie Li, et al. ∙

research

∙ 07/01/2021

Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization

Semantic segmentation is one of the basic, yet essential scene understan...

7 S. Ehsan Mirsadeghi, et al. ∙

research

∙ 06/16/2021

JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection

The availability of large-scale video action understanding datasets has ...

0 Mahsa Ehsanpour, et al. ∙

research

∙ 03/27/2021

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers

Tracking a time-varying indefinite number of objects in a video sequence...

0 Tianyu Zhu, et al. ∙

research

∙ 12/23/2020

Distributed Multi-object Tracking under Limited Field of View Sensors

We consider the challenging problem of tracking multiple objects using a...

0 Hoa Van Nguyen, et al. ∙

research

∙ 12/09/2020

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

Semantic aware reconstruction is more advantageous than geometric-only r...

0 Kejie Li, et al. ∙

research

∙ 12/03/2020

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

Despite the recent advances in multiple object tracking (MOT), achieved ...

0 Fatemeh Saleh, et al. ∙

research

∙ 08/08/2020

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

Performance evaluation is indispensable to the advancement of machine vi...

3 Hamid Rezatofighi, et al. ∙

research

∙ 07/31/2020

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...

0 Hoa Van Nguyen, et al. ∙

research

∙ 07/14/2020

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...

2 Alireza Abedin, et al. ∙

research

∙ 07/06/2020

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...

4 Mahsa Ehsanpour, et al. ∙

research

∙ 03/19/2020

MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...

17 Patrick Dendorfer, et al. ∙

research

∙ 02/19/2020

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...

11 Abhijeet Shenoi, et al. ∙

research

∙ 01/30/2020

Learn to Predict Sets Using Feed-Forward Neural Networks

This paper addresses the task of set prediction using deep feed-forward ...

30 Hamid Rezatofighi, et al. ∙

research

∙ 11/26/2019

Approximating the Permanent by Sampling from Adaptive Partitions

Computing the permanent of a non-negative matrix is a core problem with ...

12 Jonathan Kuck, et al. ∙

research

∙ 11/22/2019

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...

0 Hoa Van Nguyen, et al. ∙

research

∙ 10/25/2019

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...

15 Roberto Martín-Martín, et al. ∙

research

∙ 09/28/2019

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

This paper tackles the problem of video object segmentation. We are spec...

29 Yu Liu, et al. ∙

research

∙ 06/10/2019

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

Standardized benchmarks are crucial for the majority of computer vision ...

8 Patrick Dendorfer, et al. ∙

research

∙ 02/25/2019

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

Intersection over Union (IoU) is the most popular evaluation metric used...

12 Hamid Rezatofighi, et al. ∙

research

∙ 01/12/2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

As the post-processing step for object detection, non-maximum suppressio...

12 Yu Liu, et al. ∙

research

∙ 11/20/2018

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

Automatic recognition of human activities from time-series sensor data (...

0 Alireza Abedin Varamin, et al. ∙

Hamid Rezatofighi

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