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.

Papers90 papers

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What Matters in Unsupervised Optical Flow

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

european conference on computer vision, pp.557-572, (2020)

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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

Mechanical Search on Shelves using Lateral Access X-RAY

Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee,Anelia Angelova,Vincent Vanhoucke,Ken Goldberg

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Unsupervised Monocular Depth Learning in Dynamic Scenes

Hanhan Li,Ariel Gordon, Hang Zhao, Vincent Casser,Anelia Angelova

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AssembleNet++: Assembling Modality Representations via Attention Connections

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

european conference on computer vision, pp.654-671, (2020)

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Adversarial Generative Grammars for Human Activity Prediction

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

european conference on computer vision, pp.507-523, (2020)

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Differentiable Grammars for Videos

AJ Piergiovanni,Anelia Angelova,Michael Ryoo

AAAI, pp.11874-11881, (2020)

EIBibtex

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

Karkus Peter,Angelova Anelia,Vanhoucke Vincent, Jonschkowski Rico

ICRA, pp.4753-4759, (2020)

EIBibtex

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

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

european conference on computer vision, pp.260-277, (2020)

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

Michael Danielczuk,Anelia Angelova,Vincent Vanhoucke,Ken Goldberg

IROS, pp.9577-9584, (2020)

EIBibtex

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

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos

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

Bibtex

Evolving Losses for Unsupervised Video Representation Learning

Piergiovanni AJ,Angelova Anelia,Ryoo Michael S.

CVPR, pp.130-139, (2020)

Cited by6EIBibtex

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

european conference on computer vision, pp.449-465, (2020)

Cited by1Bibtex

Learning Differentiable Grammars for Continuous Data

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

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

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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KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects

Liu Xingyu, Jonschkowski Rico,Angelova Anelia, Konolige Kurt

CVPR, pp.11599-11607, (2019)

EIBibtex

Tiny Video Networks

Piergiovanni AJ,Angelova Anelia,Ryoo Michael S.

Bibtex

Evolving Space-Time Neural Architectures for Videos

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

ICCV, pp.1793-1802, (2019)

Cited by12EIBibtex

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Anelia AngelovaBinding

Papers90 papers

Anelia Angelova