Anelia Angelova

131 papers A* 31A 9B 2C 1Misc 1Journal 71Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CURVE: A Benchmark for Cultural and Multilingual Long Video Reasoning. CoRR Darshan Singh, Arsha Nagrani, Kawshik Manikantan, Harman Singh, Dinesh Tewari, Tobias Weyand, Cordelia Schmid, Anelia Angelova, Shachi Dave
2025	J	`jnl`	Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment. CoRR Dahun Kim, Anelia Angelova
2025	J	`jnl`	Time-Scaling State-Space Models for Dense Video Captioning. CoRR A. J. Piergiovanni, Ganesh Satish Mallya, Dahun Kim, Anelia Angelova
2025	A*	`conf`	VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. CVPR Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova
2025	J	`jnl`	VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. CoRR Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova
2025	J	`jnl`	Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications. CoRR Ganesh Satish Mallya, Yotam Gigi, Dahun Kim, Maxim Neumann, Genady Beryozkin, Tomer Shekel, Anelia Angelova
2024	—	`conf`	3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. ECCV (40) 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
2024	J	`jnl`	3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. CoRR 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
2024	A*	`conf`	Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. CVPR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2024	A*	`conf`	On Scaling Up a Multilingual Vision and Language Model. CVPR 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	—	`conf`	Region-Centric Image-Language Pretraining for Open-Vocabulary Detection. ECCV (63) Dahun Kim, Anelia Angelova, Weicheng Kuo
2024	J	`jnl`	Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. CoRR A. J. Piergiovanni, Dahun Kim, Michael S. Ryoo, Isaac Noble, Anelia Angelova
2023	A*	`conf`	Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Diversifying Joint Vision-Language Tokenization Learning. CoRR Vardaan Pahuja, A. J. Piergiovanni, Anelia Angelova
2023	J	`jnl`	Joint Adaptive Representations for Image-Language Learning. CoRR A. J. Piergiovanni, Anelia Angelova
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR 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
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 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
2023	J	`jnl`	Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2023	A*	`conf`	Open-Vocabulary Object Detection upon Frozen Vision and Language Models. ICLR Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
2023	J	`jnl`	PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR 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
2023	A*	`conf`	Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	A*	`conf`	Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CVPR A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
2022	J	`jnl`	Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. CoRR A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova
2022	J	`jnl`	F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. CoRR Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
2022	—	`conf`	FindIt: Generalized Localization with Natural Language Queries. ECCV (36) Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
2022	J	`jnl`	FindIt: Generalized Localization with Natural Language Queries. CoRR Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
2022	J	`jnl`	Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2022	A*	`conf`	Mechanical Search on Shelves using a Novel "Bluction" Tool. ICRA Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
2022	J	`jnl`	Mechanical Search on Shelves using a Novel "Bluction" Tool. CoRR Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
2022	C	`conf`	Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. ISRR Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
2022	J	`jnl`	Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. CoRR Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg
2022	J	`jnl`	PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR 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
2022	J	`jnl`	Pre-training image-language transformers for open-vocabulary tasks. CoRR A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
2022	J	`jnl`	Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CoRR A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
2022	J	`jnl`	Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
2022	—	`conf`	Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
2021	A*	`conf`	4D-Net for Learned Multi-Modal Alignment. ICCV A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	4D-Net for Learned Multi-Modal Alignment. CoRR A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	—	`conf`	Adaptive Intermediate Representations for Video Understanding. CVPR Workshops Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	Adaptive Intermediate Representations for Video Understanding. CoRR Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	Learning Open-World Object Proposals without Learning to Classify. CoRR Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2021	A	`conf`	Mechanical Search on Shelves using Lateral Access X-RAY. IROS Huang Huang, Marcus Dominguez-Kuhne, Vishal Satish, Michael Danielczuk, Kate Sanders, Jeffrey Ichnowski, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
2021	A*	`conf`	Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2021	J	`jnl`	Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2021	A*	`conf`	SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. CVPR Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
2021	J	`jnl`	SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. CoRR Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
2021	A*	`conf`	Taskology: Utilizing Task Relations at Scale. CVPR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2021	A*	`conf`	TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021	J	`jnl`	TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021	J	`jnl`	Unsupervised Action Segmentation for Instructional Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
2021	A	`conf`	Unsupervised Discovery of Actions in Instructional Videos. BMVC A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa
2021	J	`jnl`	Unsupervised Discovery of Actions in Instructional Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
2021	A*	`conf`	Visionary: Vision architecture discovery for robot learning. ICRA Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
2021	J	`jnl`	Visionary: Vision architecture discovery for robot learning. CoRR Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
2020	—	`conf`	Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020	J	`jnl`	Adversarial Generative Grammars for Human Activity Prediction. CoRR A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020	—	`conf`	AssembleNet++: Assembling Modality Representations via Attention Connections. ECCV (20) Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
2020	J	`jnl`	AssembleNet++: Assembling Modality Representations via Attention Connections. CoRR Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
2020	A*	`conf`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2020	—	`conf`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	J	`jnl`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	A*	`conf`	Differentiable Grammars for Videos. AAAI A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	A*	`conf`	Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
2020	J	`jnl`	Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
2020	A*	`conf`	Evolving Losses for Unsupervised Video Representation Learning. CVPR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	J	`jnl`	Evolving Losses for Unsupervised Video Representation Learning. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	J	`jnl`	Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
2020	A*	`conf`	KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
2020	—	`conf`	Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2020	J	`jnl`	Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2020	J	`jnl`	Mechanical Search on Shelves using Lateral Access X-RAY. CoRR Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
2020	A	`conf`	Probabilistic Object Detection: Definition and Evaluation. WACV David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
2020	J	`jnl`	Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
2020	J	`jnl`	Taskology: Utilizing Task Relations at Scale. CoRR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2020	Misc	`conf`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2020	J	`jnl`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2020	—	`conf`	What Matters in Unsupervised Optical Flow. ECCV (2) Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2020	J	`jnl`	What Matters in Unsupervised Optical Flow. CoRR Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2020	A	`conf`	X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. IROS Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
2020	J	`jnl`	X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. CoRR Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
2019	J	`jnl`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2019	A*	`conf`	Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
2019	A*	`conf`	Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2019	J	`jnl`	Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
2019	J	`jnl`	Evolving Losses for Unlabeled Video Representation Learning. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2019	A*	`conf`	Evolving Space-Time Neural Architectures for Videos. ICCV A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2019	J	`jnl`	KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
2019	J	`jnl`	Learning Differentiable Grammars for Continuous Data. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2019	—	`conf`	OnboardDepth: Depth Prediction for Onboard Systems. ECMR Anelia Angelova, Devesh Yamparala, Justin Vincent, Chris Leger
2019	J	`jnl`	SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
2019	A*	`conf`	ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
2019	J	`jnl`	ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
2019	J	`jnl`	Tiny Video Networks. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2019	—	`conf`	Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2019	J	`jnl`	Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2018	J	`jnl`	Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2018	J	`jnl`	Evolving Space-Time Neural Architectures for Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2018	J	`jnl`	Future Segmentation Using 3D Structure. CoRR Suhani Vora, Reza Mahjourian, Sören Pirk, Anelia Angelova
2018	J	`jnl`	Object category learning and retrieval with weak supervision. CoRR Steven Hickson, Anelia Angelova, Irfan A. Essa, Rahul Sukthankar
2018	A*	`conf`	Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. CVPR Reza Mahjourian, Martin Wicke, Anelia Angelova
2018	J	`jnl`	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. CoRR Reza Mahjourian, Martin Wicke, Anelia Angelova
2017	A*	`conf`	Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. ICML Michael Gygli, Mohammad Norouzi, Anelia Angelova
2017	J	`jnl`	Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. CoRR Michael Gygli, Mohammad Norouzi, Anelia Angelova
2017	B	`conf`	Geometry-based next frame prediction from monocular video. Intelligent Vehicles Symposium Reza Mahjourian, Martin Wicke, Anelia Angelova
2017	B	`conf`	Learning with proxy supervision for end-to-end visual learning. Intelligent Vehicles Symposium Jiri Cermak, Anelia Angelova
2016	J	`jnl`	Geometry-Based Next Frame Prediction from Monocular Video. CoRR Reza Mahjourian, Martin Wicke, Anelia Angelova
2016	J	`jnl`	Improved generator objectives for GANs. CoRR Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein, Anelia Angelova
2015	J	`jnl`	Object Recognition from Short Videos for Robotic Perception. CoRR Ivan Bogun, Anelia Angelova, Navdeep Jaitly
2015	A*	`conf`	Pedestrian detection with a Large-Field-Of-View deep network. ICRA Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke
2015	A	`conf`	Real-Time Pedestrian Detection with Deep Network Cascades. BMVC Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, Dave Ferguson
2015	A*	`conf`	Real-time grasp detection using convolutional neural networks. ICRA Joseph Redmon, Anelia Angelova
2014	A	`conf`	Benchmarking large-scale Fine-Grained Categorization. WACV Anelia Angelova, Philip M. Long
2014	A	`conf`	Feature combination with Multi-Kernel Learning for fine-grained visual classification. WACV Anelia Angelova, Alexandru Niculescu-Mizil
2014	A	`conf`	Generalized feature learning and indexing for object localization and recognition. WACV Ning Zhou, Anelia Angelova, Jianping Fan
2014	J	`jnl`	Real-Time Grasp Detection Using Convolutional Neural Networks. CoRR Joseph Redmon, Anelia Angelova
2013	A*	`conf`	Efficient Object Detection and Segmentation for Fine-Grained Recognition. CVPR Anelia Angelova, Shenghuo Zhu
2013	A	`conf`	Image segmentation for large-scale subcategory flower recognition. WACV Anelia Angelova, Shenghuo Zhu, Yuanqing Lin
2009	J	`jnl`	Terrain Adaptive Navigation for planetary rovers. J. Field Robotics Daniel M. Helmick, Anelia Angelova, Larry H. Matthies
2008	—	`—`	Visual Prediction of Rover Slip: Learning Algorithms and Field Experiments. Anelia Angelova
2007	J	`jnl`	Computer Vision on Mars. Int. J. Comput. Vis. 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
2007	—	`conf`	Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. Robotics: Science and Systems Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	A*	`conf`	Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. CVPR Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	J	`jnl`	Learning and prediction of slip from visual information. J. Field Robotics Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	A*	`conf`	Learning slip behavior using automatic mechanical supervision. ICRA Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2006	A*	`conf`	Learning to Predict Slip for Ground Robots. ICRA Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona
2006	—	`conf`	Slip Prediction Using Visual Information. Robotics: Science and Systems Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2006	J	`jnl`	Towards learned traversability for robot navigation: From underfoot to the far field. J. Field Robotics Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness
2005	—	`conf`	Pruning Training Sets for Learning of Object Categories. CVPR (1) Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona