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Showing 30 publications by Siddharth Narayanaswamy

Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models

Shi Y, Paige B, Torr PHS & Siddharth N (2020)

BibTeX
@article{relatingbycontr-2020/7,
  title={Relating by Contrasting: A Data-efficient Framework for Multimodal
  Generative Models},
  author={Shi Y, Paige B, Torr PHS & Siddharth N},
  journal={},
  year = "2020"
}

Capturing Label Characteristics in VAEs

Joy T, Schmon SM, Torr PHS, Siddharth N & Rainforth T (2020)

BibTeX
@article{capturinglabelc-2020/6,
  title={Capturing Label Characteristics in VAEs},
  author={Joy T, Schmon SM, Torr PHS, Siddharth N & Rainforth T},
  journal={},
  year = "2020"
}

Simulation-Based Inference for Global Health Decisions

de Witt CS, Gram-Hansen B, Nardelli N, Gambardella A, Zinkov R et al. (2020), ICML Workshop on Machine Learning for Global Health, Thirty-Seventh International Conference on Machine Learning (ICML 2020)

BibTeX View PDF
@article{simulationbased-2020/5,
  title={Simulation-Based Inference for Global Health Decisions},
  author={de Witt CS, Gram-Hansen B, Nardelli N, Gambardella A, Zinkov R et al.},
  journal={ICML Workshop on Machine Learning for Global Health,
  Thirty-Seventh International Conference on Machine Learning (ICML 2020)},
  year = "2020"
}

DGPose: Deep Generative Models for Human Body Analysis

de Bem R, Ghosh A, Ajanthan T, Miksik O, Boukhayma A et al. (2020), International Journal of Computer Vision, 128(2020), 1537-1563

BibTeX View PDF
@article{dgposedeepgener-2020/4,
  title={DGPose: Deep Generative Models for Human Body Analysis},
  author={de Bem R, Ghosh A, Ajanthan T, Miksik O, Boukhayma A et al.},
  journal={International Journal of Computer Vision},
  volume={128},
  pages={1537-1563},
  publisher={Springer},
  year = "2020"
}

A Revised Generative Evaluation of Visual Dialogue

Massiceti D, Kulharia V, Dokania PK, Siddharth N & Torr PHS (2020)

BibTeX View PDF
@article{arevisedgenerat-2020/4,
  title={A Revised Generative Evaluation of Visual Dialogue},
  author={Massiceti D, Kulharia V, Dokania PK, Siddharth N & Torr PHS},
  journal={},
  year = "2020"
}

Variational mixture-of-experts autoencoders for multi-modal deep generative models

Shi Y, Siddharth N, Paige B & Torr P (2019), Neural Information Processing Systems 2019

BibTeX
@inproceedings{variationalmixt-2019/12,
  title={Variational mixture-of-experts autoencoders for multi-modal deep generative models},
  author={Shi Y, Siddharth N, Paige B & Torr P},
  year = "2019"
}

Multitask Soft Option Learning

Igl M, Gambardella A, He J, Nardelli N, Siddharth N et al. (2019)

BibTeX
@article{multitasksoftop-2019/4,
  title={Multitask Soft Option Learning},
  author={Igl M, Gambardella A, He J, Nardelli N, Siddharth N et al.},
  journal={},
  year = "2019"
}

Revisiting reweighted wake-sleep for models with stochastic control flow

Le TA, Kosiorek AR, Siddharth N, Teh YEE & Wood F (2019), 35th Conference on Uncertainty in Artificial Intelligence, UAI 2019

BibTeX
@inproceedings{revisitingrewei-2019/1,
  title={Revisiting reweighted wake-sleep for models with stochastic control flow},
  author={Le TA, Kosiorek AR, Siddharth N, Teh YEE & Wood F},
  year = "2019"
}

A semi-supervised deep generative model for human body analysis

De Bem R, Ghosh A, Ajanthan T, Miksik O, Narayanaswamy S et al. (2019), ECCV 2018: Computer Vision – ECCV 2018 Workshops, 11130, 500-517

BibTeX View PDF
@inproceedings{asemisupervised-2019/1,
  title={A semi-supervised deep generative model for human body analysis},
  author={De Bem R, Ghosh A, Ajanthan T, Miksik O, Narayanaswamy S et al.},
  pages={500-517},
  year = "2019"
}

Disentangling disentanglement in variational autoencoders

Mathieu E, Rainforth T, Siddharth N & Teh YW (2019), 36th International Conference on Machine Learning, ICML 2019, 2019-June, 7744-7754

BibTeX
@inproceedings{disentanglingdi-2019/1,
  title={Disentangling disentanglement in variational autoencoders},
  author={Mathieu E, Rainforth T, Siddharth N & Teh YW},
  pages={7744-7754},
  year = "2019"
}

FLIPDIAL: A generative model for two-way visual dialogue

Massiceti D, Narayanaswamy S, Torr P & Dokania P (2018), IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, Utah, June 18-22, 2018

BibTeX View PDF
@inproceedings{flipdialagenera-2018/12,
  title={FLIPDIAL: A generative model for two-way visual dialogue},
  author={Massiceti D, Narayanaswamy S, Torr P & Dokania P},
  year = "2018"
}

Visual Dialogue without Vision or Dialogue

Massiceti D, Dokania PK, Siddharth N & Torr PHS (2018)

BibTeX View PDF
@article{visualdialoguew-2018/12,
  title={Visual Dialogue without Vision or Dialogue},
  author={Massiceti D, Dokania PK, Siddharth N & Torr PHS},
  journal={},
  year = "2018"
}

Learning disentangled representations with semi-supervised deep generative models

Siddharth N, Paige B, Van De Meent JW, Desmaison A, Goodman ND et al. (2018), Advances in Neural Information Processing Systems 30: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), 30, 5927-5937

BibTeX
@inproceedings{learningdisenta-2018/6,
  title={Learning disentangled representations with semi-supervised deep generative models},
  author={Siddharth N, Paige B, Van De Meent JW, Desmaison A, Goodman ND et al.},
  pages={5927-5937},
  year = "2018"
}

Structured Disentangled Representations

Esmaeili B, Wu H, Jain S, Bozkurt A, Siddharth N et al. (2018)

BibTeX
@inproceedings{structureddisen-2018/4,
  title={Structured Disentangled Representations},
  author={Esmaeili B, Wu H, Jain S, Bozkurt A, Siddharth N et al.},
  year = "2018"
}

Faithful inversion of generative models for effective amortized inference

Webb S, Goliński A, Zinkov R, RAINFORTH T, NARAYANASWAMY S et al. (2018), Advances in Neural Information Processing Systems

BibTeX
@inproceedings{faithfulinversi-2018/1,
  title={Faithful inversion of generative models for effective amortized inference},
  author={Webb S, Goliński A, Zinkov R, RAINFORTH T, NARAYANASWAMY S et al.},
  booktitle={Neural Information Processing Systems (NIPS)},
  year = "2018"
}

Playing Doom with SLAM-Augmented Deep Reinforcement Learning

Bhatti S, Desmaison A, Miksik O, Nardelli N, Siddharth N et al. (2016)

BibTeX
@article{playingdoomwith-2016/12,
  title={Playing Doom with SLAM-Augmented Deep Reinforcement Learning},
  author={Bhatti S, Desmaison A, Miksik O, Nardelli N, Siddharth N et al.},
  journal={},
  year = "2016"
}

Inducing Interpretable Representations with Variational Autoencoders

Siddharth N, Paige B, Desmaison A, Meent J-WVD, Wood F et al. (2016)

BibTeX
@article{inducinginterpr-2016/11,
  title={Inducing Interpretable Representations with Variational Autoencoders},
  author={Siddharth N, Paige B, Desmaison A, Meent J-WVD, Wood F et al.},
  journal={},
  year = "2016"
}

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

Barrett DP, Barbu A, Siddharth N & Siskind JM (2016), IEEE transactions on pattern analysis and machine intelligence, 38(10), 2069-2081

BibTeX View PDF
@article{sayingwhatyoure-2016/10,
  title={Saying What You're Looking For: Linguistics Meets Video Search.},
  author={Barrett DP, Barbu A, Siddharth N & Siskind JM},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={38},
  pages={2069-2081},
  year = "2016"
}

Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs

Stuhlmüller A, Hawkins RXD, Siddharth N & Goodman ND (2015)

BibTeX
@article{coarsetofineseq-2015/9,
  title={Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs},
  author={Stuhlmüller A, Hawkins RXD, Siddharth N & Goodman ND},
  journal={},
  year = "2015"
}

Seeing is <i>Worse</i> than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions

Barbu A, Barrett DP, Chen W, Siddharth N, Xiong C et al. (2014), COMPUTER VISION - ECCV 2014, PT V, 8693, 612-627

BibTeX
@inproceedings{seeingisiworsei-2014/,
  title={Seeing is <i>Worse</i> than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions},
  author={Barbu A, Barrett DP, Chen W, Siddharth N, Xiong C et al.},
  pages={612-627},
  year = "2014"
}

The Compositional Nature of Verb and Argument Representations in the Human Brain

Barbu A, Siddharth N, Xiong C, Corso JJ, Fellbaum CD et al. (2013)

BibTeX
@article{thecompositiona-2013/6,
  title={The Compositional Nature of Verb and Argument Representations in the
  Human Brain},
  author={Barbu A, Siddharth N, Xiong C, Corso JJ, Fellbaum CD et al.},
  journal={},
  year = "2013"
}

Video in sentences out

Barbu A, Bridge A, Burchill Z, Coroian D, Dickinson S et al. (2012), Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012, 102-112

BibTeX
@inproceedings{videoinsentence-2012/12,
  title={Video in sentences out},
  author={Barbu A, Bridge A, Burchill Z, Coroian D, Dickinson S et al.},
  pages={102-112},
  year = "2012"
}

Simultaneous Object Detection, Tracking, and Event Recognition

Barbu A, Michaux A, Narayanaswamy S & Siskind JM (2012), Advances in Cognitive Systems, 2, 203-220

BibTeX
@article{simultaneousobj-2012/12,
  title={Simultaneous Object Detection, Tracking, and Event Recognition},
  author={Barbu A, Michaux A, Narayanaswamy S & Siskind JM},
  journal={Advances in Cognitive Systems},
  volume={2},
  pages={203-220},
  year = "2012"
}

Seeing Unseeability to See the Unseeable

Narayanaswamy S, Barbu A & Siskind JM (2012)

BibTeX View PDF
@article{seeingunseeabil-2012/4,
  title={Seeing Unseeability to See the Unseeable},
  author={Narayanaswamy S, Barbu A & Siskind JM},
  journal={},
  year = "2012"
}

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

Barbu A, Bridge A, Coroian D, Dickinson S, Mussman S et al. (2012)

BibTeX View PDF
@article{largescaleautom-2012/4,
  title={Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction},
  author={Barbu A, Bridge A, Coroian D, Dickinson S, Mussman S et al.},
  journal={},
  year = "2012"
}

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

Narayanaswamy S, Barbu A & Siskind JM (2011), 4854-4860

BibTeX View PDF
@inproceedings{avisuallanguage-2011/5,
  title={A visual language model for estimating object pose and structure in a generative visual domain},
  author={Narayanaswamy S, Barbu A & Siskind JM},
  booktitle={2011 IEEE International Conference on Robotics and Automation},
  pages={4854-4860},
  year = "2011"
}

Learning Physically-Instantiated Game Play Through Visual Observation

Barbu A, Narayanaswamy S & Siskind JM (2010), 1879-1886

BibTeX View PDF
@inproceedings{learningphysica-2010/5,
  title={Learning Physically-Instantiated Game Play Through Visual Observation},
  author={Barbu A, Narayanaswamy S & Siskind JM},
  booktitle={2010 IEEE International Conference on Robotics and Automation},
  pages={1879-1886},
  year = "2010"
}

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

Yu H, Siddharth N, Barbu A & Siskind JM (0), Journal of Artificial Intelligence Research, 52, 601-713

BibTeX View PDF
@article{acompositionalf-/,
  title={A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video},
  author={Yu H, Siddharth N, Barbu A & Siskind JM},
  journal={Journal of Artificial Intelligence Research},
  volume={52},
  pages={601-713},
  publisher={AI Access Foundation}
}

Recognize Human Activities from Partially Observed Videos

Cao Y, Barrett D, Barbu A, Narayanaswamy S, Yu H et al. (0), 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2658-2665

BibTeX View PDF
@inproceedings{recognizehumana-/,
  title={Recognize Human Activities from Partially Observed Videos},
  author={Cao Y, Barrett D, Barbu A, Narayanaswamy S, Yu H et al.},
  booktitle={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2658-2665}
}

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

Siddharth N, Barbu A & Siskind JM (0)

BibTeX
@inproceedings{seeingwhatyoure-/,
  title={Seeing What You're Told: Sentence-Guided Activity Recognition In Video},
  author={Siddharth N, Barbu A & Siskind JM},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}