Florian Schroff

Orcid: 0000-0003-0570-8967

According to our database1, Florian Schroff authored at least 29 papers between 2006 and 2024.

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Bibliography

2024
VideoPrism: A Foundational Visual Encoder for Video Understanding.
CoRR, 2024

Distilling Vision-Language Models on Millions of Videos.
CoRR, 2024

2023
VideoGLUE: Video General Understanding Evaluation of Foundation Models.
CoRR, 2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.
CoRR, 2023

Unified Visual Relationship Detection with Vision and Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Generate Image Embeddings with User-Level Differential Privacy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose.
Int. J. Comput. Vis., 2022

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
DeepLab2: A TensorFlow Library for Deep Labeling.
CoRR, 2021

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
EEV Dataset: Predicting Expressions Evoked by Diverse Videos.
CoRR, 2020

View-Invariant Probabilistic Embedding for Human Pose.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Modeling Uncertainty with Hedged Instance Embeddings.
Proceedings of the 7th International Conference on Learning Representations, 2019

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Modeling Uncertainty with Hedged Instance Embedding.
CoRR, 2018

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Rethinking Atrous Convolution for Semantic Image Segmentation.
CoRR, 2017

2015
FaceNet: A unified embedding for face recognition and clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2011
Harvesting Image Databases from the Web.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Visual Recognition with Humans in the Loop.
Proceedings of the Computer Vision, 2010

2009
Semantic Image Segmentation and Web-Supervised Visual Learning.
PhD thesis, 2009

CLAROS - Bringing Classical Art to a Global Public.
Proceedings of the Fifth International Conference on e-Science, 2009

Clustering Videos by Location.
Proceedings of the British Machine Vision Conference, 2009

2008
Object Class Segmentation using Random Forests.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2006
Single-Histogram Class Models for Image Segmentation.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006


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