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ORCIDSen Jia 0002
Person information
- affiliation: LG Electronics, Toronto AI Lab, Toronto, ON, Canada
- affiliation (former): University of Waterloo, VIP Lab, Waterloo, ON, Canada
- affiliation (former): Ryerson University, Vision Lab, Toronto, ON, Canada
- affiliation (PhD): University of Bristol, UK
Other persons with the same name
- Sen Jia — disambiguation page
- Sen Jia 0001
![[0000-0001-9742-5037]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9742-5037")
— Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China (and 1 more) - Sen Jia 0003 — Shandong University, Jinan, China (and 1 more)
- Sen Jia 0004 — Xidian University, Intelligent Perception and Image Understanding Lab, Xi'an, China
- Sen Jia 0005 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China (and 1 more)
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2020 – today
- 2024
[j4]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. Int. J. Comput. Vis. 132(9): 3889-3910 (2024)- 2023
- [c12]Sen Jia, Homa Fashandi:
Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. ICMLA 2023: 1936-1942 - 2021
- [c11]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC 2021: 54 - [c10]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV 2021: 773-781 - [c9]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR 2021 - [i9]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR abs/2101.11604 (2021) - [i8]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR abs/2101.12322 (2021) - [i7]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR abs/2108.07884 (2021) - [i6]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR abs/2110.10335 (2021) - 2020
- [j3]Sen Jia, Neil D. B. Bruce:
EML-NET: An Expandable Multi-Layer NETwork for saliency prediction. Image Vis. Comput. 95: 103887 (2020) - [c8]Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CVPR 2020: 2664-2673 - [c7]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How much Position Information Do Convolutional Neural Networks Encode? ICLR 2020 - [i5]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How Much Position Information Do Convolutional Neural Networks Encode? CoRR abs/2001.08248 (2020) - [i4]Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CoRR abs/2002.10540 (2020)
2010 – 2019
- 2019
- [i3]Sen Jia, Neil D. B. Bruce:
Richer and Deeper Supervision Network for Salient Object Detection. CoRR abs/1901.02425 (2019) - 2018
- [j2]Sen Jia, Yang Zhang:
Saliency-based deep convolutional neural network for no-reference image quality assessment. Multim. Tools Appl. 77(12): 14859-14872 (2018) - [c6]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. IDA 2018: 164-174 - [i2]Sen Jia:
EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction. CoRR abs/1805.01047 (2018) - [i1]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. CoRR abs/1806.06296 (2018) - 2017
- [c5]Sen Jia, Yang Zhang, Dimitris Agrafiotis, David R. Bull:
Blind high dynamic range image quality assessment using deep learning. ICIP 2017: 765-769 - [c4]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. IDA 2017: 138-148 - 2016
- [b1]Sen Jia:
Data from the wild in computer vision: generating and exploiting large scale and noisy datasets. University of Bristol, UK, 2016 - [c3]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Gender Classification by Deep Learning on Millions of Weakly Labelled Images. ICDM Workshops 2016: 462-467 - [c2]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Time Series Analysis of Garment Distributions via Street Webcam. ICIAR 2016: 765-773 - 2015
- [j1]Sen Jia, Nello Cristianini:
Learning to classify gender from four million images. Pattern Recognit. Lett. 58: 35-41 (2015) - [c1]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Measuring Gender Bias in News Images. WWW (Companion Volume) 2015: 893-898
Coauthor Index
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