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Taylor Berg-Kirkpatrick

30 papers hereh-index 162.3k citations39 works total

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

author position
  • middle author27
  • last author3

Across the 30 of 30 papers where every author was matched, so the position is known.

fields
  • cs.SD22
  • cs.CV4
  • cs.LG2
  • cs.AI1
  • eess.AS1
same name
  • Taylor Berg-Kirkpatrick — 13 papers, h 10
  • Taylor Berg-Kirkpatrick — 11 papers, h 17
  • Taylor Berg-Kirkpatrick — 8 papers, h 10
  • Taylor Berg-Kirkpatrick — 7 papers, h 3
  • Taylor Berg-Kirkpatrick — 7 papers, h 5
  • Taylor Berg-Kirkpatrick — 5 papers, h 5

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
20202026
most citedMusPy: A Toolkit for Symbolic Music Generation

24 citations · 50 across the 23 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning

Hansen Jin Lillemark, Alex Rojas, Zachary Novack +5

Standard autoregressive video generation algorithms based on Diffusion and Flow Matching rely on rigid training objectives and static sampling schedules, limiting inference procedu…

cs.CV2025

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing

Weihan Xu, Yimeng Ma, Jingyue Huang +6

Short videos are an effective tool for promoting contents and improving knowledge accessibility. While existing extractive video summarization methods struggle to produce a coheren…

cs.CV2024

TeaserGen: Generating Teasers for Long Documentaries

Weihan Xu, Paul Pu Liang, Haven Kim +3

Teasers are an effective tool for promoting content in entertainment, commercial and educational fields. However, creating an effective teaser for long videos is challenging for it…

cs.CV2021★ 7 cited

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition

Sachinda Edirisooriya, Hao-Wen Dong, Julian McAuley +1

Previous work has shown that neural architectures are able to perform optical music recognition (OMR) on monophonic and homophonic music with high accuracy. However, piano and orch…

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