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ORCIDLaura Sevilla-Lara
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- affiliation: University of Massachusetts Amherst, USA
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2020 – today
- 2024
[c25]Davide Moltisanti, Hakan Bilen, Laura Sevilla-Lara, Frank Keller:
Coarse or Fine? Recognising Action End States without Labels. CVPR Workshops 2024: 1191-1200- [c24]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CVPR 2024: 3086-3096 - [c23]Anil Batra, Davide Moltisanti
, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller:
Efficient Pre-training for Localized Instruction Generation of Procedural Videos. ECCV (39) 2024: 347-363 - [i23]Davide Moltisanti, Hakan Bilen, Laura Sevilla-Lara, Frank Keller:
Coarse or Fine? Recognising Action End States without Labels. CoRR abs/2405.07723 (2024) - [i22]Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara:
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. CoRR abs/2408.10123 (2024) - 2023
- [c22]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CVPR 2023: 10922-10931 - [c21]Davide Moltisanti, Frank Keller, Hakan Bilen, Laura Sevilla-Lara:
Learning Action Changes by Measuring Verb-Adverb Textual Relationships. CVPR 2023: 23110-23118 - [i21]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CoRR abs/2303.09665 (2023) - [i20]Davide Moltisanti, Frank Keller, Hakan Bilen, Laura Sevilla-Lara:
Learning Action Changes by Measuring Verb-Adverb Textual Relationships. CoRR abs/2303.15086 (2023) - [i19]Shreyank N. Gowda, Laura Sevilla-Lara:
Telling Stories for Common Sense Zero-Shot Action Recognition. CoRR abs/2309.17327 (2023) - [i18]Shreyank N. Gowda, Xinyue Hao, Gen Li, Laura Sevilla-Lara, Shashank Narayana Gowda:
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. CoRR abs/2310.06522 (2023) - [i17]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CoRR abs/2311.17776 (2023) - 2022
- [c20]Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara:
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. BMVC 2022: 355 - [c19]Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara:
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. BMVC 2022: 356 - [c18]Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara:
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. BMVC 2022: 669 - [c17]Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach:
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. ECCV (20) 2022: 187-203 - [c16]Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara:
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. ECCV (31) 2022: 242-259 - [i16]Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara:
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. CoRR abs/2201.10394 (2022) - [i15]Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara:
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. CoRR abs/2206.04790 (2022) - [i14]Anil Batra, Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller:
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. CoRR abs/2209.15501 (2022) - [i13]Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara:
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. CoRR abs/2210.04933 (2022) - 2021
- [c15]Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. AAAI 2021: 1451-1459 - [c14]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CVPR 2021: 8334-8343 - [c13]Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. GCPR 2021: 191-205 - [c12]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV 2021: 535-544 - [i12]Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach:
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. CoRR abs/2101.07042 (2021) - [i11]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CoRR abs/2104.01893 (2021) - [i10]Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. CoRR abs/2107.13029 (2021) - 2020
- [c11]Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang:
FASTER Recurrent Networks for Efficient Video Classification. AAAI 2020: 13098-13105 - [c10]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA: Reinforcement Learning for Video Object Segmentation. BMVC 2020 - [c9]Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen:
Unsupervised Batch Normalization. CVPR Workshops 2020: 3994-3999 - [i9]Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve, Hamed Alemohammad, David Guerena:
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020. CoRR abs/2004.11051 (2020) - [i8]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA : Reinforcement Learning for Video Object Segmentation. CoRR abs/2005.13039 (2020) - [i7]Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. CoRR abs/2012.10671 (2020)
2010 – 2019
- 2019
- [c8]Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan:
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CVPR 2019: 1268-1277 - [i6]Zheng Shou, Zhicheng Yan, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Xudong Lin, Shih-Fu Chang:
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CoRR abs/1901.03460 (2019) - [i5]Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang:
FASTER Recurrent Networks for Video Classification. CoRR abs/1906.04226 (2019) - [i4]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - 2018
- [c7]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. GCPR 2018: 281-297 - [c6]Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff:
"What Is Optical Flow For?": Workshop Results and Summary. ECCV Workshops (6) 2018: 731-739 - 2017
- [c5]Jonas Wulff, Laura Sevilla-Lara, Michael J. Black:
Optical Flow in Mostly Rigid Scenes. CVPR 2017: 6911-6920 - [i3]Jonas Wulff, Laura Sevilla-Lara, Michael J. Black:
Optical Flow in Mostly Rigid Scenes. CoRR abs/1705.01352 (2017) - [i2]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. CoRR abs/1712.08416 (2017) - 2016
- [c4]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CVPR 2016: 3889-3898 - [i1]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CoRR abs/1603.03911 (2016) - 2015
- [j1]Laura Sevilla-Lara, Jonas Wulff, Kalyan Sunkavalli, Eli Shechtman:
Smooth Loops from Unconstrained Video. Comput. Graph. Forum 34(4): 99-107 (2015) - 2014
- [c3]Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black:
Optical Flow Estimation with Channel Constancy. ECCV (1) 2014: 423-438 - 2013
- [c2]Benjamin Mears, Laura Sevilla-Lara, Erik G. Learned-Miller:
Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment. BMVC 2013 - 2012
- [c1]Laura Sevilla-Lara, Erik G. Learned-Miller:
Distribution fields for tracking. CVPR 2012: 1910-1917
Coauthor Index
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last updated on 2024-11-18 21:50 CET by the dblp team
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