David Rim

Joined

May 2023

Names

David Rim (Preferred)

Emails

****@google.com (Confirmed)

Personal Links

DBLP

Semantic Scholar

Career & Education History

Researcher

Google (google.com)

2016 – 2023

Phd

École Polytechnique de Montréal, Université de Montréal (polymtl.ca)

2009 – 2014

MS student

University of Rochester (rochester.edu)

2007 – 2008

Undergrad student

Columbia University (columbia.edu)

1995 – 2004

Advisors, Relations & Conflicts

Coworker

David Qiu

2022 – 2023

Coworker

Yanzhang He

2022 – 2023

Coworker

Shaojin Ding

2022 – 2023

PhD Advisor

Chris Pal

2009 – 2014

Expertise

No areas of expertise listed

Publications

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models
David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improving facial analysis and performance driven animation through disentangling identity and expression
David Rim, Sina Honari, Md. Kamrul Hasan, Christopher J. Pal
- Published: 01 Jan 2016, Last Modified: 11 May 2023
- Image Vis. Comput. 2016
- Readers: Everyone
Learning from weakly labeled faces and video in the wild
David Rim, Md. Kamrul Hasan, Fannie Puech, Christopher J. Pal
- Published: 01 Jan 2015, Last Modified: 11 May 2023
- Pattern Recognit. 2015
- Readers: Everyone
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression
David Rim, Sina Honari, Md. Kamrul Hasan, Chris Pal
- Published: 01 Jan 2015, Last Modified: 11 May 2023
- CoRR 2015
- Readers: Everyone
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning
Chetan Bhole, Christopher J. Pal, David Rim, Axel Wismüller
- Published: 01 Jan 2014, Last Modified: 11 May 2023
- Mach. Vis. Appl. 2014
- Readers: Everyone
Semi Supervised Learning for Wild Faces and Video
David Rim, Kamrul Hassan, Christopher J. Pal
- Published: 01 Jan 2011, Last Modified: 11 May 2023
- BMVC 2011
- Readers: Everyone

David Rim

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models

Improving facial analysis and performance driven animation through disentangling identity and expression

Learning from weakly labeled faces and video in the wild

Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression

3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning

Semi Supervised Learning for Wild Faces and Video

Co-Authors