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Damian Borth

UC Berkeley

48 papers hereh-index 287.9k citations120 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author16
  • last author31

Across the 47 of 48 papers where every author was matched, so the position is known.

fields
  • cs.LG22
  • cs.CV11
  • cs.SD6
  • cs.MM3
  • cs.AI2
  • cs.CL1
affiliations
  • UC Berkeley
  • TU Kaiserslautern
  • DFKI
  • University of St.Gallen
  • ICSI
  • Columbia University
same name
  • Damian Borth — 12 papers, h 6
  • Damian Borth — 11 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedYFCC100M: The New Data in Multimedia Research

1.6k citations · 2.2k across the 44 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015★ 10 cited

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets

Takuya Narihira, Damian Borth, Stella X. Yu +2

We consider the visual sentiment task of mapping an image to an adjective noun pair (ANP) such as "cute baby". To capture the two-factor structure of our ANP semantics as well as t…

cs.MM2015★ 18 cited

The YLI-MED Corpus: Characteristics, Procedures, and Plans

Julia Bernd, Damian Borth, Benjamin Elizalde +7

The YLI Multimedia Event Detection corpus is a public-domain index of videos with annotations and computed features, specialized for research in multimedia event detection (MED), i…

cs.MM2015★ 1.6k cited

YFCC100M: The New Data in Multimedia Research

Bart Thomee, David A. Shamma, Gerald Friedland +5

We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest public multimedia collection that has ever been released. The dataset contains a total of 1…

cs.LG2015★ 26 cited

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye +4

We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image an…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.