Andrei Barbu

Abdulrahman Alabdulakreem

CoRR, 2024

SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data.

[BibT_eX]

[DOI]

CoRR, 2024

Revealing Vision-Language Integration in the Brain with Multimodal Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

How hard are computer vision datasets? Calibrating dataset difficulty to viewing time.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BrainBERT: Self-supervised representation learning for intracranial recordings.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Modeling Visual Impairments with Artificial Neural Networks: a Review.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human or Machine? Turing Tests for Vision and Language.

[BibT_eX]

[DOI]

CoRR, 2022

Query The Agent: Improving sample efficiency through epistemic uncertainty estimation.

[BibT_eX]

[DOI]

Julian Alverio

CoRR, 2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

[BibT_eX]

[DOI]

CoRR, 2022

Incorporating Rich Social Interactions Into MDPs.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Trajectory Prediction with Linguistic Representations.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Quantifying the Emergence of Symbolic Communication.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Compositional RL Agents That Follow Language Commands in Temporal Logic.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2021

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Measuring Social Biases in Grounded Vision and Language Embeddings.

[BibT_eX]

[DOI]

Candace Ross

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Multi-resolution modeling of a discrete stochastic process identifies causes of cancer.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Compositional Networks Enable Systematic Generalization for Grounded Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Social Interactions as Recursive MDPs.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception.

[BibT_eX]

[DOI]

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

2020

Deep video-to-video transformations for accessibility with an application to photosensitivity.

[BibT_eX]

[DOI]

Dalitso Banda

Pattern Recognit. Lett., 2020

Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning a natural-language to LTL executable semantic parser for grounded robotics.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Language from Vision.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Deep compositional robotic planners that follow natural language commands.

[BibT_eX]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Sequential Models for Sampling-Based Planning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Grounding language acquisition by training semantic parsers using captioned videos.

[BibT_eX]

[DOI]

Candace Ross

Yevgeni Berzak

Battushig Myanganbayar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Partially Occluded Hands: - A Challenging New Dataset for Single-Image Hand Pose Estimation.

[BibT_eX]

[DOI]

Battushig Myanganbayar

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Saying What You're Looking For: Linguistics Meets Video Search.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Bias and Agreement in Syntactic Annotations.

[BibT_eX]

[DOI]

CoRR, 2016

Anchoring and Agreement in Syntactic Annotations.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2015

Do You See What I Mean? Visual Resolution of Linguistic Ambiguities.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.

[BibT_eX]

[DOI]

Daniel Paul Barrett

Wei Chen

Caiming Xiong

Jason J. Corso

Christiane D. Fellbaum

Thomas Michael Talavage

Ronnie B. Wilbur

Proceedings of the Computer Vision - ECCV 2014, 2014

Seeing What You're Told: Sentence-Guided Activity Recognition in Video.

[BibT_eX]

[DOI]

N. Siddharth

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Reasoning Across Language and Vision in Machines and Humans

[BibT_eX]

[DOI]

PhD thesis, 2013

Saying What You're Looking For: Linguistics Meets Video Search.

[BibT_eX]

[DOI]

CoRR, 2013

Recognize Human Activities from Partially Observed Videos.

[BibT_eX]

[DOI]

Yu Cao

Daniel Paul Barrett

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction

[BibT_eX]

[DOI]

CoRR, 2012

Seeing Unseeability to See the Unseeable

[BibT_eX]

[DOI]

CoRR, 2012

Simultaneous Object Detection, Tracking, and Event Recognition

[BibT_eX]

[DOI]

Aaron Michaux

CoRR, 2012

Video In Sentences Out.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

A visual language model for estimating object pose and structure in a generative visual domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Learning physically-instantiated game play through visual observation.

[BibT_eX]

[DOI]