Seyed Hamid Rezatofighi

Orcid: 0000-0002-8659-8773

According to our database1, Seyed Hamid Rezatofighi authored at least 104 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Series2vec: similarity-based self-supervised representation learning for time series classification.
Data Min. Knowl. Discov., July, 2024

ConservationBots: Autonomous aerial robot for fast robust wildlife tracking in complex terrains.
J. Field Robotics, March, 2024

Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects.
IEEE Trans. Signal Process., 2024

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering.
CoRR, 2024

GyroCopter: Differential Bearing Measuring Trajectory Planner for Tracking and Localizing Radio Frequency Sources.
CoRR, 2024

TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene.
CoRR, 2024

Hi-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting.
CoRR, 2024

NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions.
CoRR, 2024

How Well Can Vision Language Models See Image Details?
CoRR, 2024

DrVideo: Document Retrieval Based Long Video Understanding.
CoRR, 2024

Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning.
CoRR, 2024

DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation.
CoRR, 2024

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning.
CoRR, 2024

Improving Visual Perception of a Social Robot for Controlled and In-the-wild Human-robot Interaction.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Diffusion Model for Robust Multi-sensor Fusion in 3D Object Detection and BEV Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

JRDB-PanoTrack: An Open-World Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Unifying Flow, Stereo and Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Physically Plausible 3D Human-Scene Reconstruction From Monocular RGB Image Using an Adversarial Learning Approach.
IEEE Robotics Autom. Lett., October, 2023

How Trustworthy are Performance Evaluations for Basic Vision Tasks?
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Accurate and Real-Time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network.
IEEE Robotics Autom. Lett., 2023

JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds.
CoRR, 2023

LAVA:Label-efficient Visual Learning and Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Real-Time Trajectory-Based Social Group Detection.
IROS, 2023

Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Knowledge Combination to Learn Rotated Detection without Rotated Annotation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MARLIN: Masked Autoencoder for facial video Representation LearnINg.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Guest Editorial Introduction to the Special Issue on Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learn to Predict Sets Using Feed-Forward Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ActiveRMAP: Radiance Field for Active Mapping And Planning.
CoRR, 2022

Predicting Topological Maps for Visual Navigation in Unexplored Environments.
CoRR, 2022

JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking.
CoRR, 2022

LAVA: Label-efficient Visual Learning and Adaptation.
CoRR, 2022

SoMoFormer: Multi-Person Pose Forecasting with Transformers.
CoRR, 2022

Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects.
CoRR, 2022

GMFlow: Learning Optical Flow via Global Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning of Global Objective for Network Flow in Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization.
IEEE Robotics Autom. Lett., October, 2021

Distributed Multi-Object Tracking Under Limited Field of View Sensors.
IEEE Trans. Signal Process., 2021

MOLTR: Multiple Object Localization, Tracking and Reconstruction From Monocular RGB Videos.
IEEE Robotics Autom. Lett., 2021

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud.
CoRR, 2021

Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables.
CoRR, 2021

JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection.
CoRR, 2021

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers.
CoRR, 2021

ODAM: Object Detection, Association, and Mapping using Posed RGB Video.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.
IEEE Trans. Image Process., 2020

Socially and Contextually Aware Human Motion and Pose Forecasting.
IEEE Robotics Autom. Lett., 2020

MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos.
CoRR, 2020

How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
CoRR, 2020

MOT20: A benchmark for multi object tracking in crowded scenes.
CoRR, 2020

Learn to Predict Sets Using Feed-Forward Neural Networks.
CoRR, 2020

Towards deep clustering of human activities from wearables.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects.
IEEE Trans. Signal Process., 2019

TrackerBots: Autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals.
J. Field Robotics, 2019

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object.
CoRR, 2019

JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments.
CoRR, 2019

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation.
CoRR, 2019

CVPR19 Tracking and Detection Challenge: How crowded can it get?
CoRR, 2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.
CoRR, 2019

Approximating the Permanent by Sampling from Adaptive Partitions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

TopNet: Structural Point Cloud Decoder.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks.
CoRR, 2018

Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Joint Learning of Set Cardinality and State Distribution.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Real-Time Localization and Tracking of Multiple Radio-Tagged Animals with an Autonomous Aerial Vehicle System.
CoRR, 2017

DeepSetNet: Predicting Sets with Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Data-Driven Approximations to NP-Hard Problems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Online Multi-Target Tracking Using Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Joint Probabilistic Matching Using m-Best Solutions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Point Process Inference for Large-Scale Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences.
IEEE Trans. Medical Imaging, 2015

Joint Probabilistic Data Association Revisited.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013
A framework for generating realistic synthetic sequences of total internal reflection fluorescence microscopy images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Retinal vessel segmentation using a multi-scale medialness function.
Comput. Biol. Medicine, 2012

Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A new approach for spot detection in total internal reflection fluorescence microscopy.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Automatic recognition of five types of white blood cells in peripheral blood.
Comput. Medical Imaging Graph., 2011

Boundary delineation for hepatic hemangioma in ultrasound images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Multi-scale approach for retinal vessel segmentation using medialness function.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Automatic Recognition of Five Types of White Blood Cells in Peripheral Blood.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009
A New Approach to White Blood Cell Nucleus Segmentation Based on Gram-Schmidt Orthogonalization.
Proceedings of the 2009 International Conference on Digital Image Processing, 2009

Polar Run-Length Features in Segmentation of Retinal Blood Vessels.
Proceedings of the 2009 International Conference on Digital Image Processing, 2009

2008
Context-Dependent Segmentation of Retinal Blood Vessels Using Hidden Markov Models.
Proceedings of the Advances in Computer Science and Engineering, 2008


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