Keren Ye

According to our database, Keren Ye authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to Overcome Noise in Weak Caption Supervision for Object Detection.

Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

TIP: Text-Driven Image Processing with Semantic and Restoration Instructions.

Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi

CoRR, 2023

VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining.

Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, Feng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Weakly-Supervised Action Detection Guided by Audio Narration.

Keren Ye, Adriana Kovashka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Interpreting the Rhetoric of Visual Advertisements.

Keren Ye, Narges Honarvar Nazari, James Hahn, Zaeem Hussain, Mingda Zhang, Adriana Kovashka

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Breaking Shortcuts by Masking for Robust Visual Reasoning.

Keren Ye, Mingda Zhang, Adriana Kovashka

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Linguistic Structures As Weak Supervision for Visual Scene Graph Generation.

Keren Ye, Adriana Kovashka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Case Study of the Shortcut Effects in Visual Commonsense Reasoning.

Keren Ye, Adriana Kovashka

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Story Completion with Explicit Modeling of Commonsense Knowledge.

Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka

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

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.

Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection.

Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning to discover and localize visual objects with open vocabulary.

Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent

CoRR, 2018

ADVISE: Symbolism and External Knowledge for Decoding Advertisements.

Keren Ye, Adriana Kovashka

Proceedings of the Computer Vision - ECCV 2018, 2018

Story Understanding in Video Advertisements.

Keren Ye, Kyle Buettner, Adriana Kovashka

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Automatic Understanding of Image and Video Advertisements.

Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017