Laura Sevilla-Lara

According to our database, Laura Sevilla-Lara authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual Learning Improves Zero-Shot Action Recognition.

Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara

CoRR, 2024

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation.

Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara

CoRR, 2024

Efficient Pre-training for Localized Instruction Generation of Procedural Videos.

Anil Batra, Davide Moltisanti, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller

Proceedings of the Computer Vision - ECCV 2024, 2024

Coarse or Fine? Recognising Action End States without Labels.

Davide Moltisanti, Hakan Bilen, Laura Sevilla-Lara, Frank Keller

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

One-Shot Open Affordance Learning with Foundation Models.

Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship.

Shreyank N. Gowda, Xinyue Hao, Gen Li, Laura Sevilla-Lara, Shashank Narayana Gowda

CoRR, 2023

Telling Stories for Common Sense Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara

CoRR, 2023

Learning Action Changes by Measuring Verb-Adverb Textual Relationships.

Davide Moltisanti, Frank Keller, Hakan Bilen, Laura Sevilla-Lara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding.

Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara

Proceedings of the Computer Vision - ECCV 2022, 2022

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.

Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.

Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos.

Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.

Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A New Split for Evaluating True Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation.

Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SMART Frame Selection for Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020.

Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve, Hamed Alemohammad, David Guerena

CoRR, 2020

Unsupervised Batch Normalization.

Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ALBA: Reinforcement Learning for Video Object Segmentation.

Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara

Proceedings of the 31st British Machine Vision Conference 2020, 2020

FASTER Recurrent Networks for Efficient Video Classification.

Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

FASTER Recurrent Networks for Video Classification.

Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang

CoRR, 2019

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition.

Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

"What Is Optical Flow For?": Workshop Results and Summary.

Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

On the Integration of Optical Flow and Action Recognition.

Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

Optical Flow in Mostly Rigid Scenes.

Jonas Wulff, Laura Sevilla-Lara, Michael J. Black

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Optical Flow with Semantic Segmentation and Localized Layers.

Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Smooth Loops from Unconstrained Video.

Laura Sevilla-Lara, Jonas Wulff, Kalyan Sunkavalli, Eli Shechtman

Comput. Graph. Forum, 2015

2014

Optical Flow Estimation with Channel Constancy.

Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment.

Benjamin Mears, Laura Sevilla-Lara, Erik G. Learned-Miller

Proceedings of the British Machine Vision Conference, 2013

2012

Distribution fields for tracking.

Laura Sevilla-Lara, Erik G. Learned-Miller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012