Carl Vondrick - Columbia University - Computer Vision and Machine Learning

Time 2022-09-14 12:29:53

Web Name: Carl Vondrick - Columbia University - Computer Vision and Machine Learning

WebSite: http://www.carlvondrick.com

ID:314697

Keywords:

Columbia,University,Carl,Vondrick

Description:

Carl Vondrick

Assistant Professor of Computer Science
Columbia University

Office: 618 CEPSR
Address: 530 West 120th St, New York, NY 10027
Email: vondrick at cs dot columbia dot edu

Research

Our group studies computer vision and machine learning. By training machines to observe and interact with their surroundings, we aim to create robust and versatile models for perception. We often investigate visual models that capitalize on large amounts of unlabeled data and transfer across tasks and modalities. Other interests include scene dynamics, sound and language and beyond, interpretable models, and perception for robotics.

Our group is part of the Visual Computing and Machine Learning ecosystem at Columbia. Prospective PhD students should apply here.

News

Congratulations to Sachit for his UAI 2022 paper! Congratulations to Basile, Purva, Dídac, Chengzhi, and Dave for their CVPR 2022 papers! Congratulations to Ishaan for his ACL 2022 paper! Congratulations to Mia and Chengzhi for their ICLR 2022 papers! Congratulations to Dídac for winning the Microsoft PhD fellowship! Congratulations to Mia for winning the Amazon PhD fellowshp!

PhD Students

Arjun Mani
NSF Fellow Basile Van Hoorick
PhD Student Chengzhi Mao
PhD Student Dídac Surís
Microsoft Fellow Mia Chiquier
Amazon Fellow Purva Tendulkar
Presidential Fellow Ruoshi Liu
PhD Student Sachit Menon
NSF Fellow
Presidential Fellow Sruthi Sudhakar
NSF Fellow

Undergraduate and MS

Abby Lu
Undergraduate Ishaan Chandratreya
Research Associate Revant Teotia
MS Scott Geng
Undergraduate

Alumni

Jillian Ross (now PhD student at MIT), Amogh Gupta (now at Amazon Research), Dave Epstein (CRA Honorable Mention, now PhD student at Berkeley)

All Papers Show Selected

Selected Papers Show All

2022

Landscape Learning for Neural Network Inversion New!
Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
arXiv 2022
Paper Blog Post

Shadows Shed Light on 3D Objects New!
Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
arXiv 2022
Paper Blog Post

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse New!
Sachit Menon, David Blei, Carl Vondrick
UAI 2022
Paper

Revealing Occlusions with 4D Neural Fields New!
Basile Van Hoorick, Purva Tendulkar, Dídac Surís, Dennis Park, Simon Stent, Carl Vondrick
CVPR 2022 (Oral)
Paper Project Page Talk

Globetrotter: Connecting Languages by Connecting Images New!
Dídac Surís, Dave Epstein, Carl Vondrick
CVPR 2022 (Oral)
Paper Project Page Code

Causal Transportability for Visual Recognition New!
Chengzhi Mao*, Kevin Xia*, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
CVPR 2022
Paper

It's Time for Artistic Correspondence in Music and Video New!
Dídac Surís, Carl Vondrick, Bryan Russell, Justin Salamon
CVPR 2022
Paper Project Page

UnweaveNet: Unweaving Activity Stories New!
Will Price, Carl Vondrick, Dima Damen
CVPR 2022
Paper

There is a Time and Place for Reasoning Beyond the Image New!
Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth
ACL 2022 (Oral)
Paper Code + Data

Real-Time Neural Voice Camouflage New!
Mia Chiquier, Chengzhi Mao, Carl Vondrick
ICLR 2022 (Oral)
Paper Project Page Science

Discrete Representations Strengthen Vision Transformer Robustness New!
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
ICLR 2022
Paper

2021

Full-Body Visual Self-Modeling of Robot Morphologies New!
Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, Hod Lipson
Science Robotics 2022
PaperProject Page Code

The Boombox: Visual Reconstruction from Acoustic Vibrations
Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick
CoRL 2021
Paper Project Page Video Overview

Adversarial Attacks are Reversible with Natural Supervision
Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
ICCV 2021
Paper Code

Dissecting Image Crops
Basile Van Hoorick, Carl Vondrick
ICCV 2021
Paper Code

Learning the Predictability of the Future
Dídac Surís*, Ruoshi Liu*, Carl Vondrick
CVPR 2021
Paper Project Page Code Models Talk

Generative Interventions for Causal Learning
Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick
CVPR 2021
Paper Code

Learning Goals from Failure
Dave Epstein, Carl Vondrick
CVPR 2021
Paper Project Page Data Code Talk

Visual Behavior Modelling for Robotic Theory of Mind
Boyuan Chen, Carl Vondrick, Hod Lipson
Scientific Reports 2021
Paper Project Page

2020

Listening to Sounds of Silence for Speech Denoising
Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng
NeurIPS 2020
Paper Project Page

Multitask Learning Strengthens Adversarial Robustness
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
ECCV 2020 (Oral)
Paper

We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Carl Vondrick, Rogerio Feris, Aude Oliva
ECCV 2020
Paper Project Page

Learning to Learn Words from Visual Scenes
Dídac Surís*, Dave Epstein*, Heng Ji, Shih-Fu Chang, Carl Vondrick
ECCV 2020
Paper Project Page Code Talk

Oops! Predicting Unintentional Action in Video
Dave Epstein, Boyuan Chen, Carl Vondrick
CVPR 2020
Paper Project Page Data Code Talk

2019

Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
NeurIPS 2019
Paper Code

VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
ICCV 2019
Paper Blog

Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang
CVPR 2019
Paper Code

Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
CVPR 2019 (Oral)
Paper

Moments in Time Dataset: one million videos for event understanding
Mathew Monfort et al
PAMI 2019
Paper Project Page

2018

Tracking Emerges by Colorizing Videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
ECCV 2018
Paper Blog

The Sound of Pixels
Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh McDermott, Antonio Torralba
ECCV 2018
Paper Project Page

Actor-centric Relation Network
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
ECCV 2018
Paper

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu et al
CVPR 2018 (Spotlight)
Paper Project Page

2017

Following Gaze in Video
Adria Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba
ICCV 2017
Paper

Generating the Future with Adversarial Transformers
Carl Vondrick, Antonio Torralba
CVPR 2017
Paper Project Page

Cross-Modal Scene Networks
Yusuf Aytar*, Lluis Castrejon*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
PAMI 2017
Paper Project Page

See, Hear, and Read: Deep Aligned Representations
Yusuf Aytar, Carl Vondrick, Antonio Torralba
arXiv 2017
Paper Project Page

2016

Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
NeurIPS 2016
Paper Project Page Code NBC Scientific American New Scientist MIT News

SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar*, Carl Vondrick*, Antonio Torralba
NeurIPS 2016
Paper Project Page Code NPR New Scientist Week Junior MIT News

Anticipating Visual Representations with Unlabeled Video
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
CVPR 2016 (Spotlight)
Paper Project Page NPR CNN AP Wired Stephen Colbert MIT News

Predicting Motivations of Actions by Leveraging Text
Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba
CVPR 2016
Paper Dataset

Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon*, Yusuf Aytar*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
CVPR 2016
Paper Project Page Demo

Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
IJCV 2016
Paper Project Page Slides MIT News

2015

Do We Need More Training Data?
Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan
IJCV 2015
Paper Dataset

Learning Visual Biases from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
NeurIPS 2015
Paper Project Page Technology Review

Where are they looking?
Adria Recasens*, Aditya Khosla*, Carl Vondrick, Antonio Torralba
NeurIPS 2015
Paper Project Page Demo

2014

Assessing the Quality of Actions
Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
ECCV 2014
Paper Project Page

2013

HOGgles: Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba
ICCV 2013 (Oral)
Paper Project Page Slides MIT News

2012

Do We Need More Training Data or Better Models for Object Detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes
BMVC 2012
Paper Dataset

Efficiently Scaling Up Crowdsourced Video Annotation
Carl Vondrick, Donald Patterson, Deva Ramanan
IJCV 2012
Paper Project Page

2011

Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
NeurIPS 2011
Paper Project Page

A Large-scale Benchmark Dataset for Event Recognition
Sangmin Oh, et al.
CVPR 2011
Paper Project Page

2010

Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
ECCV 2010
Paper Project Page

Teaching

Computer Vision II, Spring 2022 Representation Learning, Fall 2021 Computer Vision II, Summer 2021 Representation Learning, Fall 2020 Computer Vision, Fall 2019 Advanced Computer Vision, Spring 2019 Computer Vision, Fall 2018

Funding

National Science Foundation Defense Advanced Research Projects Agency Toyota Research Institute Amazon Research

Press

Science NPR CNN Associated Press (AP) NBC News Wired Scientific American New Scientist Week Junior Late Show with Stephen Colbert Forbes Newsweek PopSci The Verge Vice Engagdet Technology Review NPR Marketplace

TAGS:Columbia University Carl Vondrick

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