activity
20152021
most citedTowards Total Recall in Industrial Anomaly Detection

11 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 11 cited

Towards Total Recall in Industrial Anomaly Detection

Karsten Roth, Latha Pemula, Joaquin Zepeda +3

Being able to spot defective parts is a critical component in large-scale industrial manufacturing. A particular challenge that we address in this work is the cold-start problem: f…

cs.CV2017

Learning a Complete Image Indexing Pipeline

Himalaya Jain, Joaquin Zepeda, Patrick Pérez +1

To work at scale, a complete image indexing system comprises two components: An inverted file index to restrict the actual search to only a subset that should contain most of the i…

cs.CV2017

SUBIC: A supervised, structured binary code for image search

Himalaya Jain, Joaquin Zepeda, Patrick Pérez +1

For large-scale visual search, highly compressed yet meaningful representations of images are essential. Structured vector quantizers based on product quantization and its variants…

cs.CV2016★ 4 cited

Approximate search with quantized sparse representations

Himalaya Jain, Patrick Pérez, Rémi Gribonval +2

This paper tackles the task of storing a large collection of vectors, such as visual descriptors, and of searching in it. To this end, we propose to approximate database vectors by…

cs.CV2015★ 1 cited

Hybrid multi-layer Deep CNN/Aggregator feature for image classification

Praveen Kulkarni, Joaquin Zepeda, Frederic Jurie +2

Deep Convolutional Neural Networks (DCNN) have established a remarkable performance benchmark in the field of image classification, displacing classical approaches based on hand-ta…