Sen Jia

Matthew Kowal

Int. J. Comput. Vis., September, 2024

2023

Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs.

[BibT_eX]

[DOI]

Homa Fashandi

Proceedings of the International Conference on Machine Learning and Applications, 2023

2021

Shape or Texture: Understanding Discriminative Features in CNNs.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs.

[BibT_eX]

[DOI]

Matthew Kowal

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simpler Does It: Generating Semantic Labels with Objectness Guidance.

[BibT_eX]

[DOI]

Matthew Kowal

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

EML-NET: An Expandable Multi-Layer NETwork for saliency prediction.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

How much Position Information Do Convolutional Neural Networks Encode?

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Richer and Deeper Supervision Network for Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Saliency-based deep convolutional neural network for no-reference image quality assessment.

[BibT_eX]

[DOI]

Yang Zhang

Multim. Tools Appl., 2018

EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Right for the Right Reason: Training Agnostic Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017

Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Blind high dynamic range image quality assessment using deep learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Data from the wild in computer vision: generating and exploiting large scale and noisy datasets.

[BibT_eX]

[DOI]

PhD thesis, 2016

Time Series Analysis of Garment Distributions via Street Webcam.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Gender Classification by Deep Learning on Millions of Weakly Labelled Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Learning to classify gender from four million images.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Measuring Gender Bias in News Images.

[BibT_eX]

[DOI]