Eric Cameracci

Nvidia (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

4h-index150citations9works0.02yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(6), Advanced Neural Network Applications(5), Multimodal Machine Learning Applications(5), Generative Adversarial Networks and Image Synthesis(4), Human Pose and Action Recognition(2)

Publications8 total

Exploring Domain Randomization’s Effect on Synthetic Data for Activity Detection*
2023· 1 citedOpen Access
Self-Supervised Real-to-Sim Scene Generation
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021Open Access
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning
arXiv (Cornell University)·2021· 1 citedOpen Access
Meta-Sim: Learning to Generate Synthetic Datasets
2019· 24 citedOpen Access
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
2019· 24 citedOpen Access
Structured Domain Randomization: Bridging the Reality Gap by\n Context-Aware Synthetic Data
arXiv (Cornell University)·2018Open Access
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
2018· 93 citedOpen Access
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by\n Domain Randomization
arXiv (Cornell University)·2018· 7 citedOpen Access

Frequent Co-authors

Aayush Prakash(7), David Acuna(5), Stan Birchfield(5), Mark Brophy(4), Shaad Boochoon(4), Gavriel State(4), Varun Jampani(2), Cem Anil(2), Thang To(2), Omer Shapira(2), Shoubhik Debnath(2), Marc T. Law(2), Jonathan Tremblay(1), Amlan Kar(1), Ming-Yu Liu(1), Justin P. Yuan(1), Matt Rusiniak(1), Antonio Torralba(1), Sanja Fidler(1), Jonathan Tremblay(1)