Anelia Angelova
Anelia Angelova is a Principal Scientist at Google DeepMind working in the area of computer vision. She leads the Vision and Language team and previously led the Robot Vision team in Brain Robotics at Google Brain. Her most recent research focuses on vision -language and multimodal models, video understanding, semantic and 3D scene understanding, robotics perception, and real-time algorithms. She has integrated her work in production systems, including in Waymo, Google Maps, Google Cloud, X, Bard and currently contributes to Gemini. Anelia received her MS and PhD degrees in Computer Science from California Institute of Technology.
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PaLI-X: On Scaling up a Multilingual Vision and Language Model
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Carlos Riquelme
Sebastian Goodman
Yi Tay
Siamak Shakeri
Daniel Salz
Michael Tschannen
Hexiang (Frank) Hu
Mandar Joshi
Matthias Minderer
Filip Pavetić
Gang Li
Lucas Beyer
Anurag Arnab
Yuanzhong Xu
Keran Rong
Alexander Kolesnikov
Xiaohua Zhai
Neil Houlsby
Computer Vision and Pattern Recognition Conference (CVPR) (2024)
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Diversifying Joint Vision-Language Tokenization Learning
Vardaan Pahuja
Transformers for Vision (T4V) Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Piotr Padlewski
Daniel Salz
Sebastian Alexander Goodman
Basil Mustafa
Lucas Beyer
Alexander Kolesnikov
Keran Rong
Hassan Akbari
Linting Xue
James Bradbury
Chao Jia
Carlos Riquelme
Xiaohua Zhai
Neil Houlsby
International Conference on Learning Representations (ICLR) (2023)
Dynamic Pre-training of Vision-Language Models
Wei Li
ICLR 2023 Workshop on Multimodal Representation Learning (2023)
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects
Huang Huang
Letian Fu
Michael Danielczuk
Chung Min Kim
Zachary Tam
Jeff Ichnowski
Brian Ichter
Ken Goldberg
The International Symposium of Robotics Research (ISRR) (2023)
MaMMUT: A Simple Vision-Encoder Text-Decoder Architecture for MultiModal Tasks
Wei Li
Abhijit Ogale
Luowei Zhou
Zhifeng Chen
Transactions on Machine Learning Research (2023)
Joint Adaptive Representations for Image-Language Learning
Transformers for Vision (T4V) Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
