Alireza Fathi

Orcid: 0000-0002-2909-144X

According to our database1, Alireza Fathi authored at least 71 papers between 2007 and 2023.

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Bibliography

2023
AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR, 2023

Retrieval-Enhanced Contrastive Vision-Text Models.
CoRR, 2023

Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.
CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
im2nerf: Image to Neural Radiance Field in the Wild.
CoRR, 2022

PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map.
Proceedings of the Computer Vision - ECCV 2022, 2022

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Memory Transformer Network for Incremental Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Adaptive predictive control of a novel shape memory alloy rod actuator.
J. Syst. Control. Eng., 2021

2020
Object-Centric Neural Scene Rendering.
CoRR, 2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection.
CoRR, 2020

Pillar-Based Object Detection for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2020, 2020

Virtual Multi-view Fusion for 3D Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2020, 2020

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The Devil is in the Decoder: Classification, Regression and GANs.
Int. J. Comput. Vis., 2019

A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints.
Artif. Intell. Rev., 2019

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Tracking Emerges by Colorizing Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Instance Embedding Transfer to Unsupervised Video Object Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Experimental analysis of a low-cost dead reckoning navigation system for a land vehicle using a robust AHRS.
Robotics Auton. Syst., 2017

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions.
Int. J. Mach. Learn. Cybern., 2017

Comparisons of several variants of continuous quantum-inspired evolutionary algorithms.
J. Exp. Theor. Artif. Intell., 2017

Semantic Instance Segmentation via Deep Metric Learning.
CoRR, 2017

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

The Devil is in the Decoder.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines.
J. Exp. Theor. Artif. Intell., 2016

Investigation of hydroxyapatite dicalcium phosphate scaffold properties using a Lamarckian immune neural network.
Int. J. Comput. Appl. Technol., 2016

Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms.
Appl. Soft Comput., 2016

2015
An experimentally derived hybrid intelligent tool for analysing and optimising the clad height and melt-pool depth in laser solid freeform fabrication process.
J. Exp. Theor. Artif. Intell., 2015

On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis.
J. Exp. Theor. Artif. Intell., 2015

Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories.
Int. J. Intell. Comput. Cybern., 2015

Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming.
Int. J. Intell. Comput. Cybern., 2015

A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis.
Int. J. Appl. Evol. Comput., 2015

2014
Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map.
J. Intell. Manuf., 2014

Searching for Special Cases of the 6R Serial manipulators using Mutable Smart Bee Optimization Algorithm.
Int. J. Robotics Autom., 2014

An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems.
Int. J. Intell. Comput. Cybern., 2014

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems.
Int. J. Intell. Comput. Cybern., 2014

A novel particle swarm optimiser with semi-active congregation and a nature-inspired supervising algorithm.
Int. J. Comput. Sci. Eng., 2014

TGSR: the great salmon run optimisation algorithm.
Int. J. Comput. Appl. Technol., 2014

A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System.
Int. J. Appl. Metaheuristic Comput., 2014

VideoSET: Video Summary Evaluation through Text.
CoRR, 2014

Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature.
Appl. Soft Comput., 2014

Reasoning about Object Affordances in a Knowledge Base Representation.
Proceedings of the Computer Vision - ECCV 2014, 2014

An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning descriptive models of objects and activities from egocentric video.
PhD thesis, 2013

Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm.
Swarm Evol. Comput., 2013

Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm.
Int. J. Intell. Comput. Cybern., 2013

Bio-inspired methods for fast and robust arrangement of thermoelectric modulus.
Int. J. Bio Inspired Comput., 2013

An introduction to synchronous self-learning Pareto strategy.
CoRR, 2013

A natural-inspired optimization machine based on the annual migration of salmons in nature.
CoRR, 2013

Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms.
Appl. Soft Comput., 2013

Learning to Predict Gaze in Egocentric Video.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Modeling Actions through State Changes.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation.
Int. J. Bio Inspired Comput., 2012

Identifying the behaviour of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimisation algorithm.
Int. J. Bio Inspired Comput., 2012

Detecting eye contact using wearable eye-tracking glasses.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Learning to Recognize Daily Actions Using Gaze.
Proceedings of the Computer Vision - ECCV 2012, 2012

Social interactions: A first-person perspective.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Architecture optimization of 4PUS+1PS parallel manipulator.
Robotica, 2011

Understanding egocentric activities.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning to recognize objects in egocentric activities.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Combining Self Training and Active Learning for Video Segmentation.
Proceedings of the British Machine Vision Conference, 2011

2010
Detecting Road Intersections from GPS Traces.
Proceedings of the Geographic Information Science, 6th International Conference, 2010

2008
Voice synthesis usingthe generalized pressure-Controlled valve.
Proceedings of the 2008 International Computer Music Conference, 2008

Action recognition by learning mid-level motion features.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Standardized Workflow for Illumination-Invariant Image Extraction.
Proceedings of the 15th Color and Imaging Conference, 2007

Human Pose Estimation using Motion Exemplars.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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