Distribution fields for tracking. - Laura Sevilla-Lara; Erik G. Learned-Miller (CVPR, 2012)

Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment. - Benjamin Mears; Laura Sevilla-Lara; Erik G. Learned-Miller (BMVC, 2013)

Optical Flow Estimation with Channel Constancy. - Laura Sevilla-Lara; Deqing Sun; Erik G. Learned-Miller; Michael J. Black (ECCV (1), 2014)

Smooth Loops from Unconstrained Video. - Laura Sevilla-Lara; Jonas Wulff; Kalyan Sunkavalli; Eli Shechtman (Comput. Graph. Forum, 2015)

Optical Flow with Semantic Segmentation and Localized Layers. - Laura Sevilla-Lara; Deqing Sun; Varun Jampani; Michael J. Black (CVPR, 2016)

Optical Flow in Mostly Rigid Scenes. - Jonas Wulff; Laura Sevilla-Lara; Michael J. Black (CVPR, 2017)

On the Integration of Optical Flow and Action Recognition. - Laura Sevilla-Lara; Yiyi Liao; Fatma Güney; Varun Jampani; Andreas Geiger 001; Michael J. Black (GCPR, 2018)

"What Is Optical Flow For?": Workshop Results and Summary. - Fatma Güney; Laura Sevilla-Lara; Deqing Sun; Jonas Wulff (ECCV Workshops (6), 2018)

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. - Zheng Shou 001; Xudong Lin 003; Yannis Kalantidis; Laura Sevilla-Lara; Marcus Rohrbach; Shih-Fu Chang; Zhicheng Yan 001 (CVPR, 2019)

FASTER Recurrent Networks for Video Classification. - Linchao Zhu; Laura Sevilla-Lara; Du Tran; Matt Feiszli; Yi Yang 001; Heng Wang (CoRR, 2019)

FASTER Recurrent Networks for Efficient Video Classification. - Linchao Zhu; Du Tran; Laura Sevilla-Lara; Yi Yang 001; Matt Feiszli; Heng Wang (AAAI, 2020)

ALBA: Reinforcement Learning for Video Object Segmentation. - Shreyank N. Gowda; Panagiotis Eustratiadis; Timothy M. Hospedales; Laura Sevilla-Lara (BMVC, 2020)

Unsupervised Batch Normalization. - Mustafa Taha Koçyigit; Laura Sevilla-Lara; Timothy M. Hospedales; Hakan Bilen (CVPR Workshops, 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)

SMART Frame Selection for Action Recognition. - Shreyank N. Gowda; Marcus Rohrbach; Laura Sevilla-Lara (AAAI, 2021)

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. - Gen Li 008; Varun Jampani; Laura Sevilla-Lara; Deqing Sun; Jonghyun Kim; Joongkyu Kim (CVPR, 2021)

A New Split for Evaluating True Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Kiyoon Kim; Frank Keller; Marcus Rohrbach (GCPR, 2021)

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. - Laura Sevilla-Lara; Shengxin Zha; Zhicheng Yan 001; Vedanuj Goswami; Matt Feiszli; Lorenzo Torresani (WACV, 2021)

A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. - Anil Batra; Shreyank N. Gowda; Frank Keller; Laura Sevilla-Lara (BMVC, 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 (BMVC, 2022)

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. - Kiyoon Kim; Davide Moltisanti; Oisin Mac Aodha; Laura Sevilla-Lara (BMVC, 2022)

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. - Shreyank N. Gowda; Marcus Rohrbach; Frank Keller; Laura Sevilla-Lara (ECCV (31), 2022)

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Frank Keller; Marcus Rohrbach (ECCV (20), 2022)

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. - Gen Li 008; 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 (CVPR, 2023)

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Laura Sevilla-Lara; Shashank Narayana Gowda (CoRR, 2023)

Continual Learning Improves Zero-Shot Action Recognition. - Shreyank N. Gowda; Davide Moltisanti; Laura Sevilla-Lara (ACCV (3), 2024)

Telling Stories for Common Sense Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara (ACCV (3), 2024)

One-Shot Open Affordance Learning with Foundation Models. - Gen Li 008; Deqing Sun; Laura Sevilla-Lara; Varun Jampani (CVPR, 2024)

Coarse or Fine? Recognising Action End States without Labels. - Davide Moltisanti; Hakan Bilen; Laura Sevilla-Lara; Frank Keller (CVPR Workshops, 2024)

Efficient Pre-training for Localized Instruction Generation of Procedural Videos. - Anil Batra; Davide Moltisanti; Laura Sevilla-Lara; Marcus Rohrbach; Frank Keller (ECCV (39), 2024)

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Shashank Narayana Gowda; Xiaobo Jin; Laura Sevilla-Lara (ECCV Workshops (22), 2024)

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. - Gen Li 008; Nikolaos Tsagkas; Jifei Song; Ruaridh Mon-Williams; Sethu Vijayakumar; Kun Shao; Laura Sevilla-Lara (CoRR, 2024)

Principles of Visual Tokens for Efficient Video Understanding. - Xinyue Hao; Gen Li 008; Shreyank N. Gowda; Robert B. Fisher; Jonathan Huang; Anurag Arnab; Laura Sevilla-Lara (CoRR, 2024)

Predicting Implicit Arguments in Procedural Video Instructions. - Anil Batra; Laura Sevilla-Lara; Marcus Rohrbach; Frank Keller (ACL (1), 2025)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. - Shriram M. S; Xinyue Hao; Shihao Hou; Yang Lu 009; Laura Sevilla-Lara; Anurag Arnab; Shreyank N. Gowda (CoRR, 2025)