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Sevilla-Lara, Laura
21 publications
ICCV
2025
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
ICCV
2025
Principles of Visual Tokens for Efficient Video Understanding
Xinyue Hao
,
Gen Li
,
Shreyank N Gowda
,
Robert B. Fisher
,
Jonathan Huang
,
Anurag Arnab
,
Laura Sevilla-Lara
NeurIPS
2025
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
M S Shriram
,
Xinyue Hao
,
Shihao Hou
,
Yang Lu
,
Laura Sevilla-Lara
,
Anurag Arnab
,
Shreyank N Gowda
CVPRW
2024
Coarse or Fine? Recognising Action End States Without Labels
Davide Moltisanti
,
Hakan Bilen
,
Laura Sevilla-Lara
,
Frank Keller
ECCV
2024
Efficient Pre-Training for Localized Instruction Generation of Procedural Videos
Anil Batra
,
Davide Moltisanti
,
Laura Sevilla-Lara
,
Marcus Rohrbach
,
Frank Keller
CVPR
2024
One-Shot Open Affordance Learning with Foundation Models
Gen Li
,
Deqing Sun
,
Laura Sevilla-Lara
,
Varun Jampani
ECCVW
2024
Watt for What: Rethinking Deep Learning's Energy-Performance Relationship
Shreyank N. Gowda
,
Xinyue Hao
,
Gen Li
,
Shashank Narayana Gowda
,
Xiaobo Jin
,
Laura Sevilla-Lara
CVPR
2023
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
Gen Li
,
Varun Jampani
,
Deqing Sun
,
Laura Sevilla-Lara
CVPR
2023
Learning Action Changes by Measuring Verb-Adverb Textual Relationships
Davide Moltisanti
,
Frank Keller
,
Hakan Bilen
,
Laura Sevilla-Lara
ECCV
2022
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition
Shreyank N Gowda
,
Laura Sevilla-Lara
,
Frank Keller
,
Marcus Rohrbach
ECCV
2022
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
Shreyank N Gowda
,
Marcus Rohrbach
,
Frank Keller
,
Laura Sevilla-Lara
CVPR
2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li
,
Varun Jampani
,
Laura Sevilla-Lara
,
Deqing Sun
,
Jonghyun Kim
,
Joongkyu Kim
WACV
2021
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
Laura Sevilla-Lara
,
Shengxin Zha
,
Zhicheng Yan
,
Vedanuj Goswami
,
Matt Feiszli
,
Lorenzo Torresani
AAAI
2021
SMART Frame Selection for Action Recognition
Shreyank N. Gowda
,
Marcus Rohrbach
,
Laura Sevilla-Lara
AAAI
2020
FASTER Recurrent Networks for Efficient Video Classification
Linchao Zhu
,
Du Tran
,
Laura Sevilla-Lara
,
Yi Yang
,
Matt Feiszli
,
Heng Wang
CVPRW
2020
Unsupervised Batch Normalization
Mustafa Taha Koçyigit
,
Laura Sevilla-Lara
,
Timothy M. Hospedales
,
Hakan Bilen
ECCVW
2018
"What Is Optical Flow For?": Workshop Results and Summary
Fatma Güney
,
Laura Sevilla-Lara
,
Deqing Sun
,
Jonas Wulff
CVPR
2017
Optical Flow in Mostly Rigid Scenes
Jonas Wulff
,
Laura Sevilla-Lara
,
Michael J. Black
CVPR
2016
Optical Flow with Semantic Segmentation and Localized Layers
Laura Sevilla-Lara
,
Deqing Sun
,
Varun Jampani
,
Michael J. Black
ECCV
2014
Optical Flow Estimation with Channel Constancy
Laura Sevilla-Lara
,
Deqing Sun
,
Erik G. Learned-Miller
,
Michael J. Black
CVPR
2012
Distribution Fields for Tracking
Laura Sevilla-Lara
,
Erik G. Learned-Miller