Anelia Angelova

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 99

Top Venues

Publications

Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas A. Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. CoRR (2024)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR (2023)
Vardaan Pahuja, A. J. Piergiovanni, Anelia Angelova
Diversifying Joint Vision-Language Tokenization Learning. CoRR (2023)
A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CVPR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR (2023)
Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR (2023)
A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR (2023)
A. J. Piergiovanni, Anelia Angelova
Joint Adaptive Representations for Image-Language Learning. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV (2023)
Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR (2023)
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
Open-Vocabulary Object Detection upon Frozen Vision and Language Models. ICLR (2023)
Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. CoRR (2022)
A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. CoRR (2022)
Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
Mechanical Search on Shelves using a Novel "Bluction" Tool. ICRA (2022)
Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
FindIt: Generalized Localization with Natural Language Queries. CoRR (2022)
A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
Pre-training image-language transformers for open-vocabulary tasks. CoRR (2022)
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. CoRR (2022)
A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) (2022)
Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
FindIt: Generalized Localization with Natural Language Queries. ECCV (36) (2022)
Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR (2022)
AJ Piergiovanni, Weicheng Kuo, Anelia Angelova
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CoRR (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. 7 (2) (2022)
A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR (2022)
Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. ISRR (2022)
Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
Mechanical Search on Shelves using a Novel "Bluction" Tool. CoRR (2022)
Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
Adaptive Intermediate Representations for Video Understanding. CoRR (2021)
Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
Visionary: Vision architecture discovery for robot learning. CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR (2021)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa
Unsupervised Discovery of Actions in Instructional Videos. BMVC (2021)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals without Learning to Classify. CoRR (2021)
A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
4D-Net for Learned Multi-Modal Alignment. CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS (2021)
A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
4D-Net for Learned Multi-Modal Alignment. ICCV (2021)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
Unsupervised Action Segmentation for Instructional Videos. CoRR (2021)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
Unsupervised Discovery of Actions in Instructional Videos. CoRR (2021)
Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
Visionary: Vision architecture discovery for robot learning. ICRA (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR (2021)
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
Taskology: Utilizing Task Relations at Scale. CVPR (2021)
Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
Adaptive Intermediate Representations for Video Understanding. CVPR Workshops (2021)
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. CVPR (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV (2021)
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. CoRR (2021)
Huang Huang, Marcus Dominguez-Kuhne, Vishal Satish, Michael Danielczuk, Kate Sanders, Jeffrey Ichnowski, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
Mechanical Search on Shelves using Lateral Access X-RAY. IROS (2021)
David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Adversarial Generative Grammars for Human Activity Prediction. CoRR (2020)
Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. CoRR (2020)
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL (2020)
Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
Mechanical Search on Shelves using Lateral Access X-RAY. CoRR (2020)
Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. 128 (5) (2020)
Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR (2020)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR (2020)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) (2020)
Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
AssembleNet++: Assembling Modality Representations via Attention Connections. ECCV (20) (2020)
Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. IROS (2020)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Evolving Losses for Unsupervised Video Representation Learning. CoRR (2020)
Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
AssembleNet++: Assembling Modality Representations via Attention Connections. CoRR (2020)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Evolving Losses for Unsupervised Video Representation Learning. CVPR (2020)
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR (2020)
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR (2020)
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
Taskology: Utilizing Task Relations at Scale. CoRR (2020)
Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR (2020)
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR (2020)
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) (2020)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) (2020)
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
What Matters in Unsupervised Optical Flow. ECCV (2) (2020)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Differentiable Grammars for Videos. AAAI (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA (2020)
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
What Matters in Unsupervised Optical Flow. CoRR (2020)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Evolving Losses for Unlabeled Video Representation Learning. CoRR (2019)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV (2019)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR (2019)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI (2019)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR (2019)
Anelia Angelova, Devesh Yamparala, Justin Vincent, Chris Leger
OnboardDepth: Depth Prediction for Onboard Systems. ECMR (2019)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Tiny Video Networks. CoRR (2019)
Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR (2019)
Steven Schwarcz, Peng Xu, David D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR (2019)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Evolving Space-Time Neural Architectures for Videos. ICCV (2019)
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR (2019)
A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
Learning Differentiable Grammars for Continuous Data. CoRR (2019)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops (2019)
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV (2019)
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR (2019)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. CVPR (2018)
Suhani Vora, Reza Mahjourian, Sören Pirk, Anelia Angelova
Future Segmentation Using 3D Structure. CoRR (2018)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. CoRR (2018)
Steven Hickson, Anelia Angelova, Irfan A. Essa, Rahul Sukthankar
Object category learning and retrieval with weak supervision. CoRR (2018)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR (2018)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Evolving Space-Time Neural Architectures for Videos. CoRR (2018)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Geometry-based next frame prediction from monocular video. Intelligent Vehicles Symposium (2017)
Michael Gygli, Mohammad Norouzi, Anelia Angelova
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. CoRR (2017)
Michael Gygli, Mohammad Norouzi, Anelia Angelova
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. ICML (2017)
Jiri Cermak, Anelia Angelova
Learning with proxy supervision for end-to-end visual learning. Intelligent Vehicles Symposium (2017)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Geometry-Based Next Frame Prediction from Monocular Video. CoRR (2016)
Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein, Anelia Angelova
Improved generator objectives for GANs. CoRR (2016)
Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, Dave Ferguson
Real-Time Pedestrian Detection with Deep Network Cascades. BMVC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anelia Angelova