Golnaz Ghiasi

According to our database1, Golnaz Ghiasi authored at least 28 papers between 2010 and 2023.

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Bibliography

2023
Combined scaling for zero-shot transfer learning.
Neurocomputing, October, 2023

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation.
CoRR, 2022

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Open-Vocabulary Image Segmentation.
CoRR, 2021

Combined Scaling for Zero-shot Transfer Learning.
CoRR, 2021

Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent.
CoRR, 2021

Multi-Task Self-Training for Learning General Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Writer identification with <i>n</i>-tuple direction feature from contour.
IET Image Process., 2020

Rethinking Pre-training and Self-training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Data Augmentation Strategies for Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
CoRR, 2019

Adjustable Real-time Style Transfer.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DropBlock: A regularization method for convolutional networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Exploring the structure of a real-time, arbitrary neural artistic stylization network.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter.
PhD thesis, 2016

Laplacian Reconstruction and Refinement for Semantic Segmentation.
CoRR, 2016

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Occlusion Coherence: Detecting and Localizing Occluded Faces.
CoRR, 2015

Using Segmentation to Predict the Absence of Occluded Parts.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Parsing Occluded People.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Offline text-independent writer identification using codebook and efficient code extraction methods.
Image Vis. Comput., 2013

2010
An Efficient Method for Offline Text Independent Writer Identification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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