Anelia Angelova
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
12
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. | Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova |
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | 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 |
| 2024 | CVPR | Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. | A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova |
| 2024 | ECCV | Region-Centric Image-Language Pretraining for Open-Vocabulary Detection. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2024 | ECCV | 3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. | 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 |
| 2023 | CVPR | Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2023 | CVPR | Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. | A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova |
| 2023 | ICCV | Contrastive Feature Masking Open-Vocabulary Vision Transformer. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2023 | ICLR | Open-Vocabulary Object Detection upon Frozen Vision and Language Models. | Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova |
| 2022 | ECCV | FindIt: Generalized Localization with Natural Language Queries. | Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova |
| 2022 | ECCV | Video Question Answering with Iterative Video-Text Co-tokenization. | A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova |
| 2022 | ICRA | Mechanical Search on Shelves using a Novel "Bluction" Tool. | Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg |
| 2022 | ISRR | Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. | Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg |
| 2021 | BMVC | Unsupervised Discovery of Actions in Instructional Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa |
| 2021 | CVPR | Adaptive Intermediate Representations for Video Understanding. | Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova |
| 2021 | CVPR | Taskology: Utilizing Task Relations at Scale. | Yao Lu, Sren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon |
| 2021 | CVPR | SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. | Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski |
| 2021 | ICCV | Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. | Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai |
| 2021 | ICCV | 4D-Net for Learned Multi-Modal Alignment. | A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova |
| 2021 | ICRA | Visionary: Vision architecture discovery for robot learning. | Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo |
| 2021 | IROS | Mechanical Search on Shelves using Lateral Access X-RAY. | Huang Huang, Marcus Dominguez-Kuhne, Vishal Satish, Michael Danielczuk, Kate Sanders, Jeffrey Ichnowski, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg |
| 2020 | AAAI | Differentiable Grammars for Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | CoRL | Unsupervised Monocular Depth Learning in Dynamic Scenes. | Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova |
| 2020 | CVPR | KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. | Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige |
| 2020 | CVPR | Evolving Losses for Unsupervised Video Representation Learning. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | ECCV | What Matters in Unsupervised Optical Flow. | Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova |
| 2020 | ECCV | Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. | Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai |
| 2020 | ECCV | Adversarial Generative Grammars for Human Activity Prediction. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2020 | ECCV | AssembleNet++: Assembling Modality Representations via Attention Connections. | Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova |
| 2020 | ECCV | AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. | Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua |
| 2020 | ICLR | AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. | Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova |
| 2020 | ICRA | Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. | Pter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski |
| 2020 | IROS | X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. | Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg |
| 2020 | WACV | Probabilistic Object Detection: Definition and Evaluation. | David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Snderhauf |
| 2019 | AAAI | Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. | Vincent Casser, Sren Pirk, Reza Mahjourian, Anelia Angelova |
| 2019 | CVPR | Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. | Vincent Casser, Sren Pirk, Reza Mahjourian, Anelia Angelova |
| 2019 | ICCV | Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. | Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova |
| 2019 | ICCV | ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. | Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin |
| 2019 | ICCV | Evolving Space-Time Neural Architectures for Videos. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2018 | CVPR | Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. | Reza Mahjourian, Martin Wicke, Anelia Angelova |
| 2017 | ICML | Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. | Michael Gygli, Mohammad Norouzi, Anelia Angelova |
| 2015 | BMVC | Real-Time Pedestrian Detection with Deep Network Cascades. | Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, Dave Ferguson |
| 2015 | ICRA | Pedestrian detection with a Large-Field-Of-View deep network. | Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke |
| 2015 | ICRA | Real-time grasp detection using convolutional neural networks. | Joseph Redmon, Anelia Angelova |
| 2014 | WACV | Benchmarking large-scale Fine-Grained Categorization. | Anelia Angelova, Philip M. Long |
| 2014 | WACV | Feature combination with Multi-Kernel Learning for fine-grained visual classification. | Anelia Angelova, Alexandru Niculescu-Mizil |
| 2014 | WACV | Generalized feature learning and indexing for object localization and recognition. | Ning Zhou, Anelia Angelova, Jianping Fan |
| 2013 | CVPR | Efficient Object Detection and Segmentation for Fine-Grained Recognition. | Anelia Angelova, Shenghuo Zhu |
| 2013 | WACV | Image segmentation for large-scale subcategory flower recognition. | Anelia Angelova, Shenghuo Zhu, Yuanqing Lin |
| 2007 | CVPR | Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. | Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona |
| 2007 | ICRA | Learning slip behavior using automatic mechanical supervision. | Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona |
| 2006 | ICRA | Learning to Predict Slip for Ground Robots. | Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona |
| 2005 | CVPR | Pruning Training Sets for Learning of Object Categories. | Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona |