Gunnar A. Sigurdsson

According to our database, Gunnar A. Sigurdsson authored at least 20 papers between 2014 and 2023.

Collaborative distances:

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

2023

Characterizing Video Question Answering with Sparsified Inputs.

Shiyuan Huang, Robinson Piramuthu, Vicente Ordonez, Shih-Fu Chang, Gunnar A. Sigurdsson

CoRR, 2023

Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning.

Siddharth Singi, Zhanpeng He, Alvin Pan, Sandip Patel, Gunnar A. Sigurdsson, Robinson Piramuthu, Shuran Song, Matei T. Ciocarlie

CoRR, 2023

RREx-BoT: Remote Referring Expressions with a Bag of Tricks.

Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu

IROS, 2023

A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search.

Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation.

Vishnu Sashank Dorbala, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Gaurav S. Sukhatme

CoRR, 2022

A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search.

Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov

CoRR, 2022

SSL Enables Learning from Sparse Rewards in Image-Goal Navigation.

Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme

Proceedings of the International Conference on Machine Learning, 2022

Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy.

Shiyuan Huang, Robinson Piramuthu, Shih-Fu Chang, Gunnar A. Sigurdsson

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020

Humans In Their Natural Habitat: Training AI to Understand People.

Gunnar A. Sigurdsson

PhD thesis, 2020

Beyond the Camera: Neural Networks in World Coordinates.

Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari

CoRR, 2020

Visual Grounding in Video for Unsupervised Word Translation.

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman

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

2018

Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos.

Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari

CoRR, 2018

Actor and Observer: Joint Modeling of First and Third-Person Videos.

Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

What Actions are Needed for Understanding Human Actions in Videos?

Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta

Proceedings of the IEEE International Conference on Computer Vision, 2017

Asynchronous Temporal Fields for Action Recognition.

Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta

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

2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.

Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.

Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Visual Storylines with Skipping Recurrent Neural Networks.

Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Interpretable exemplar-based shape classification using constrained sparse linear models.

Gunnar A. Sigurdsson, Zhen Yang, Trac D. Tran, Jerry L. Prince

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Smoothing fields of weighted collections with applications to diffusion MRI processing.

Gunnar A. Sigurdsson, Jerry L. Prince

Proceedings of the Medical Imaging 2014: Image Processing, 2014