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2020 – today
- 2024
[c56]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:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444- [c55]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. CVPR 2024: 26794-26804 - [i58]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 abs/2401.02402 (2024) - 2023
- [j7]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) - [c54]A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova:
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CVPR 2023: 2214-2224 - [c53]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR 2023: 11144-11154 - [c52]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV 2023: 15556-15566 - [c51]Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova:
Open-Vocabulary Object Detection upon Frozen Vision and Language Models. ICLR 2023 - [i57]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. CoRR abs/2303.16839 (2023) - [i56]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR abs/2305.07011 (2023) - [i55]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 abs/2305.18565 (2023) - [i54]A. J. Piergiovanni, Anelia Angelova:
Joint Adaptive Representations for Image-Language Learning. CoRR abs/2305.19924 (2023) - [i53]Vardaan Pahuja, A. J. Piergiovanni, Anelia Angelova:
Diversifying Joint Vision-Language Tokenization Learning. CoRR abs/2306.03421 (2023) - [i52]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR abs/2309.00775 (2023) - [i51]Dahun Kim, Anelia Angelova, Weicheng Kuo:
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR abs/2310.00161 (2023) - [i50]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 abs/2311.05698 (2023) - 2022
- [j6]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): 5453-5460 (2022) - [c50]A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova:
Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) 2022: 76-94 - [c49]Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova:
FindIt: Generalized Localization with Natural Language Queries. ECCV (36) 2022: 502-520 - [c48]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: 6158-6164 - [c47]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: 205-221 - [i49]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 abs/2201.08968 (2022) - [i48]Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova:
FindIt: Generalized Localization with Natural Language Queries. CoRR abs/2203.17273 (2022) - [i47]A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova:
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. CoRR abs/2205.00949 (2022) - [i46]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 abs/2207.02347 (2022) - [i45]A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova:
Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR abs/2208.00934 (2022) - [i44]A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova:
Pre-training image-language transformers for open-vocabulary tasks. CoRR abs/2209.04372 (2022) - [i43]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 V. 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 abs/2209.06794 (2022) - [i42]Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova:
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. CoRR abs/2209.15639 (2022) - [i41]A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova:
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CoRR abs/2212.03229 (2022) - 2021
- [c46]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa:
Unsupervised Discovery of Actions in Instructional Videos. BMVC 2021: 283 - [c45]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CVPR Workshops 2021: 1602-1612 - [c44]Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski:
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. CVPR 2021: 3887-3896 - [c43]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: 8700-8709 - [c42]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: 12569-12579 - [c41]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. ICCV 2021: 15415-15425 - [c40]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: 10779-10785 - [c39]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: 2045-2052 - [c38]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS 2021: 12786-12797 - [i40]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 abs/2103.14633 (2021) - [i39]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CoRR abs/2104.07135 (2021) - [i38]Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski:
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. CoRR abs/2105.07014 (2021) - [i37]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa:
Unsupervised Action Segmentation for Instructional Videos. CoRR abs/2106.03738 (2021) - [i36]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR abs/2106.11297 (2021) - [i35]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa:
Unsupervised Discovery of Actions in Instructional Videos. CoRR abs/2106.14733 (2021) - [i34]Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo:
Learning Open-World Object Proposals without Learning to Classify. CoRR abs/2108.06753 (2021) - [i33]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR abs/2108.09368 (2021) - [i32]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. CoRR abs/2109.01066 (2021) - 2020
- [j5]Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner:
Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. 128(5): 1160-1161 (2020) - [c37]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Differentiable Grammars for Videos. AAAI 2020: 11874-11881 - [c36]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL 2020: 1908-1917 - [c35]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. CVPR 2020: 130-139 - [c34]Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR 2020: 11599-11607 - [c33]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) 2020: 260-277 - [c32]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: 449-465 - [c31]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) 2020: 507-523 - [c30]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. ECCV (2) 2020: 557-572 - [c29]Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova:
AssembleNet++: Assembling Modality Representations via Attention Connections. ECCV (20) 2020: 654-671 - [c28]Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova:
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR 2020 - [c27]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA 2020: 4753-4759 - [c26]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: 9577-9584 - [c25]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: 1020-1029 - [i31]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. CoRR abs/2002.12177 (2020) - [i30]Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova:
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR abs/2004.05324 (2020) - [i29]Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. CoRR abs/2004.09039 (2020) - [i28]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 abs/2005.07289 (2020) - [i27]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR abs/2005.09530 (2020) - [i26]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. CoRR abs/2006.04902 (2020) - [i25]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 abs/2007.12034 (2020) - [i24]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR abs/2007.13034 (2020) - [i23]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. CoRR abs/2008.04888 (2020) - [i22]Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova:
AssembleNet++: Assembling Modality Representations via Attention Connections. CoRR abs/2008.08072 (2020) - [i21]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR abs/2010.16404 (2020) - [i20]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 abs/2011.11696 (2020)
2010 – 2019
- 2019
- [c24]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI 2019: 8001-8008 - [c23]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops 2019: 381-388 - [c22]Anelia Angelova, Devesh Yamparala, Justin Vincent, Chris Leger:
OnboardDepth: Depth Prediction for Onboard Systems. ECMR 2019: 1-8 - [c21]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. ICCV 2019: 1793-1802 - [c20]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV 2019: 8976-8985 - [c19]Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV 2019: 9206-9215 - [i19]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Learning Differentiable Grammars for Continuous Data. CoRR abs/1902.00505 (2019) - [i18]Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR abs/1904.03239 (2019) - [i17]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR abs/1904.04998 (2019) - [i16]Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova:
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR abs/1905.13209 (2019) - [i15]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unlabeled Video Representation Learning. CoRR abs/1906.03248 (2019) - [i14]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR abs/1906.05717 (2019) - [i13]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Tiny Video Networks. CoRR abs/1910.06961 (2019) - [i12]Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR abs/1912.02805 (2019) - [i11]Steven Schwarcz, Peng Xu, David B. 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 abs/1912.06640 (2019) - 2018
- [c18]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. CVPR 2018: 5667-5675 - [i10]Steven Hickson, Anelia Angelova, Irfan A. Essa, Rahul Sukthankar:
Object category learning and retrieval with weak supervision. CoRR abs/1801.08985 (2018) - [i9]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. CoRR abs/1802.05522 (2018) - [i8]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR abs/1811.06152 (2018) - [i7]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. CoRR abs/1811.10636 (2018) - [i6]Suhani Vora, Reza Mahjourian, Sören Pirk, Anelia Angelova:
Future Segmentation Using 3D Structure. CoRR abs/1811.11358 (2018) - 2017
- [c17]Michael Gygli, Mohammad Norouzi, Anelia Angelova:
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. ICML 2017: 1341-1351 - [c16]Jiri Cermak, Anelia Angelova:
Learning with proxy supervision for end-to-end visual learning. Intelligent Vehicles Symposium 2017: 1-6 - [c15]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Geometry-based next frame prediction from monocular video. Intelligent Vehicles Symposium 2017: 1700-1707 - [i5]Michael Gygli, Mohammad Norouzi, Anelia Angelova:
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. CoRR abs/1703.04363 (2017) - 2016
- [i4]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Geometry-Based Next Frame Prediction from Monocular Video. CoRR abs/1609.06377 (2016) - [i3]Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein, Anelia Angelova:
Improved generator objectives for GANs. CoRR abs/1612.02780 (2016) - 2015
- [c14]Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, Dave Ferguson:
Real-Time Pedestrian Detection with Deep Network Cascades. BMVC 2015: 32.1-32.12 - [c13]Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke:
Pedestrian detection with a Large-Field-Of-View deep network. ICRA 2015: 704-711 - [c12]Joseph Redmon, Anelia Angelova:
Real-time grasp detection using convolutional neural networks. ICRA 2015: 1316-1322 - [i2]Ivan Bogun, Anelia Angelova, Navdeep Jaitly:
Object Recognition from Short Videos for Robotic Perception. CoRR abs/1509.01602 (2015) - 2014
- [c11]Ning Zhou, Anelia Angelova, Jianping Fan:
Generalized feature learning and indexing for object localization and recognition. WACV 2014: 198-204 - [c10]Anelia Angelova, Alexandru Niculescu-Mizil:
Feature combination with Multi-Kernel Learning for fine-grained visual classification. WACV 2014: 241-246 - [c9]Anelia Angelova, Philip M. Long:
Benchmarking large-scale Fine-Grained Categorization. WACV 2014: 532-539 - [i1]Joseph Redmon, Anelia Angelova:
Real-Time Grasp Detection Using Convolutional Neural Networks. CoRR abs/1412.3128 (2014) - 2013
- [c8]Anelia Angelova, Shenghuo Zhu:
Efficient Object Detection and Segmentation for Fine-Grained Recognition. CVPR 2013: 811-818 - [c7]Anelia Angelova, Shenghuo Zhu, Yuanqing Lin:
Image segmentation for large-scale subcategory flower recognition. WACV 2013: 39-45
2000 – 2009
- 2009
- [j4]Daniel M. Helmick, Anelia Angelova, Larry H. Matthies:
Terrain Adaptive Navigation for planetary rovers. J. Field Robotics 26(4): 391-410 (2009) - 2008
- [b1]Anelia Angelova:
Visual Prediction of Rover Slip: Learning Algorithms and Field Experiments. California Institute of Technology, USA, 2008 - 2007
- [j3]Larry H. Matthies, Mark W. Maimone, Andrew E. Johnson, Yang Cheng, Reg G. Willson, Carlos Villalpando, Steve B. Goldberg, Andres Huertas, Andrew N. Stein, Anelia Angelova:
Computer Vision on Mars. Int. J. Comput. Vis. 75(1): 67-92 (2007) - [j2]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Learning and prediction of slip from visual information. J. Field Robotics 24(3): 205-231 (2007) - [c6]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. CVPR 2007 - [c5]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Learning slip behavior using automatic mechanical supervision. ICRA 2007: 1741-1748 - [c4]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. Robotics: Science and Systems 2007 - 2006
- [j1]Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness:
Towards learned traversability for robot navigation: From underfoot to the far field. J. Field Robotics 23(11-12): 1005-1017 (2006) - [c3]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona:
Learning to Predict Slip for Ground Robots. ICRA 2006: 3324-3331 - [c2]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Slip Prediction Using Visual Information. Robotics: Science and Systems 2006 - 2005
- [c1]Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona:
Pruning Training Sets for Learning of Object Categories. CVPR (1) 2005: 494-501
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 20:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
