Laurent Amsaleg | DeepAI

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Featured Co-authors

Hervé Jégou
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Ken-ichi Kawarabayashi
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Romain Tavenard
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∙ 11/17/2022

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Transfer adversarial attacks raise critical security concerns in real-wo...

0 Zhengyu Zhao, et al. ∙

∙ 09/29/2022

Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis

Accurate estimation of Intrinsic Dimensionality (ID) is of crucial impor...

6 Laurent Amsaleg, et al. ∙

∙ 06/29/2022

Teach me how to Interpolate a Myriad of Embeddings

Mixup refers to interpolation-based data augmentation, originally motiva...

8 Shashanka Venkataramanan, et al. ∙

∙ 06/17/2022

AggNet: Learning to Aggregate Faces for Group Membership Verification

In some face recognition applications, we are interested to verify wheth...

0 Marzieh Gheisari, et al. ∙

∙ 06/09/2021

It Takes Two to Tango: Mixup for Deep Metric Learning

Metric learning involves learning a discriminative representation such t...

5 Shashanka Venkataramanan, et al. ∙

∙ 03/29/2021

AlignMix: Improving representation by interpolating aligned features

Mixup is a powerful data augmentation method that interpolates between t...

16 Shashanka Venkataramanan, et al. ∙

∙ 02/24/2020

Joint Learning of Assignment and Representation for Biometric Group Membership

This paper proposes a framework for group membership protocols preventin...

0 Marzieh Gheisari, et al. ∙

∙ 02/24/2020

Group Membership Verification with Privacy: Sparse or Dense?

Group membership verification checks if a biometric trait corresponds to...

0 Marzieh Gheisari, et al. ∙

∙ 12/04/2019

Walking on the Edge: Fast, Low-Distortion Adversarial Examples

Adversarial examples of deep neural networks are receiving ever increasi...

0 Hanwei Zhang, et al. ∙

∙ 04/23/2019

Privacy Preserving Group Membership Verification and Identification

When convoking privacy, group membership verification checks if a biomet...

0 Marzieh Gheisari, et al. ∙

∙ 04/18/2019

Exquisitor: Interactive Learning at Large

Increasing scale is a dominant trend in today's multimedia collections, ...

0 Björn Þór Jónsson, et al. ∙

∙ 03/28/2019

Smooth Adversarial Examples

This paper investigates the visual quality of the adversarial examples. ...

0 Hanwei Zhang, et al. ∙

∙ 12/10/2018

Aggregation and Embedding for Group Membership Verification

This paper proposes a group membership verification protocol preventing ...

0 Marzieh Gheisari, et al. ∙

∙ 05/25/2018

Dynamicity and Durability in Scalable Visual Instance Search

Visual instance search involves retrieving from a collection of images t...

0 Herwig Lejsek, et al. ∙

∙ 02/18/2011

Searching in one billion vectors: re-rank with source coding

Recent indexing techniques inspired by source coding have been shown suc...

0 Hervé Jégou, et al. ∙

∙ 09/21/2010

Balancing clusters to reduce response time variability in large scale image search

Many algorithms for approximate nearest neighbor search in high-dimensio...

0 Romain Tavenard, et al. ∙

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