Anelia Angelova

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Department of Computer Science, California Institute of Technology

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I am a Research Scientist at Google working on computer vision and machine learning.

Papers84 papers

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Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

Karkus Peter,Angelova Anelia,Vanhoucke Vincent, Jonschkowski Rico

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Adversarial Generative Grammars for Human Activity Prediction

AJ Piergiovanni,Anelia Angelova, Alexander Toshev, Michael S. Ryoo

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Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

Weicheng Kuo,Anelia Angelova, Tsung-Yi Lin, Angela Dai

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AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification

Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni,Michael S. Ryoo,Anelia Angelova,Kris M. Kitani, Wei Hua

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What Matters in Unsupervised Optical Flow

Jonschkowski Rico,Stone Austin,Barron Jonathan T.,Gordon Ariel,Konolige Kurt,Angelova Anelia

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Taskology: Utilizing Task Relations at Scale

Lu Yao, Pirk Sören, Dlabal Jan, Brohan Anthony, Pasad Ankita, Chen Zhao, Casser Vincent,Angelova Anelia, Gordon Ariel

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AssembleNet++: Assembling Modality Representations via Attention Connections

Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta,Anelia Angelova

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AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures

Michael S. Ryoo, AJ Piergiovanni,Mingxing Tan,Anelia Angelova

ICLR, (2020)

EIBibtex

Evolving Losses for Unsupervised Video Representation Learning

Piergiovanni AJ,Angelova Anelia,Ryoo Michael S.

CVPR, pp.130-139, (2020)

Cited by1EIBibtex

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos

Pasad Ankita, Gordon Ariel,Lin Tsung-Yi,Angelova Anelia

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Special Issue on Deep Learning for Robotic Vision

Anelia Angelova,Gustavo Carneiro,Niko Sünderhauf, Jürgen Leitner

International Journal of Computer Vision, no. 5 (2020): 1160-1161

EIBibtex

X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions

Michael Danielczuk,Anelia Angelova, Vincent Vanhoucke,Ken Goldberg

arXiv preprint arXiv:2004.09039, (2020)

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Differentiable Grammars for Videos

AJ Piergiovanni,Anelia Angelova,Michael Ryoo

AAAI, pp.11874-11881, (2020)

EIBibtex

Probabilistic Object Detection: Definition and Evaluation

David Hall,Feras Dayoub,John Skinner, Haoyang Zhang, Dimity Miller,Peter Corke,Gustavo Carneiro,Anelia Angelova,Niko Sünderhauf

WACV, pp.1020-1029, (2019)

Cited by12EIBibtex

Learning Differentiable Grammars for Continuous Data

A. J. Piergiovanni,Anelia Angelova, Michael S. Ryoo

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors

Weicheng Kuo,Anelia Angelova,Jitendra Malik,Tsung-Yi Lin

International Conference on Computer Vision, (2019): 9207-9216

Cited by9EIBibtex

Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

Vincent Casser,Sören Pirk,Reza Mahjourian,Anelia Angelova

national conference on artificial intelligence, (2019)

Cited by77EIBibtex

Evolving Losses for Video Representation Learning

AJ Piergiovanni,Anelia Angelova, Michael Ryoo

(2019)

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EvaNet: A Family of Diverse, Fast and Accurate Video Architectures

AJ Piergiovanni,Anelia Angelova, Alexander Toshev, Michael Ryoo

(2019)

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SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong

Schwarcz Steven, Xu Peng, D'Ambrosio David, Kangaspunta Juhana,Angelova Anelia, Phan Huong, Jaitly Navdeep

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