Keren Ye

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Web Directories

Commonsense Reasoning

Transfer Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions. CoRR (2023)
Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, Feng Yang
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining. CoRR (2023)
Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, Feng Yang
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining. CVPR (2023)
Keren Ye, Adriana Kovashka
Weakly-Supervised Action Detection Guided by Audio Narration. CVPR Workshops (2022)
Keren Ye, Adriana Kovashka
Weakly-Supervised Action Detection Guided by Audio Narration. CoRR (2022)
Keren Ye, Mingda Zhang, Adriana Kovashka
Breaking Shortcuts by Masking for Robust Visual Reasoning. WACV (2021)
Keren Ye, Adriana Kovashka
Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. CVPR (2021)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR (2021)
Keren Ye, Adriana Kovashka
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation. CoRR (2021)
Keren Ye, Narges Honarvar Nazari, James Hahn, Zaeem Hussain, Mingda Zhang, Adriana Kovashka
Interpreting the Rhetoric of Visual Advertisements. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Keren Ye, Adriana Kovashka
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. AAAI (2021)
Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka
Story Completion with Explicit Modeling of Commonsense Knowledge. CVPR Workshops (2020)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) (2020)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) (2020)
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. ICCV (2019)
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. CoRR (2019)
Keren Ye, Kyle Buettner, Adriana Kovashka
Story Understanding in Video Advertisements. BMVC (2018)
Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent
Learning to discover and localize visual objects with open vocabulary. CoRR (2018)
Keren Ye, Adriana Kovashka
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. ECCV (15) (2018)
Keren Ye, Kyle Buettner, Adriana Kovashka
Story Understanding in Video Advertisements. CoRR (2018)
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Automatic Understanding of Image and Video Advertisements. CVPR (2017)
Keren Ye, Adriana Kovashka
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. CoRR (2017)
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Automatic Understanding of Image and Video Advertisements. CoRR (2017)