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researcher

Jing Yu Koh

Carnegie Mellon University

4 papers hereh-index 174.7k citations24 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
affiliations
  • Carnegie Mellon University
Homepage
same name
  • Jing Yu Koh — 2 papers

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

most citedRevisiting Hierarchical Approach for Persistent Long-Term Video Prediction

8 citations · 11 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Pathdreamer: A World Model for Indoor Navigation

Jing Yu Koh, Honglak Lee, Yinfei Yang +2

People navigating in unfamiliar buildings take advantage of myriad visual, spatial and semantic cues to efficiently achieve their navigation goals. Towards equipping computational…

cs.CV2021★ 8 cited

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Wonkwang Lee, Whie Jung, Han Zhang +6

Learning to predict the long-term future of video frames is notoriously challenging due to inherent ambiguities in the distant future and dramatic amplifications of prediction erro…

cs.CV2020★ 3 cited

Text-to-Image Generation Grounded by Fine-Grained User Attention

Jing Yu Koh, Jason Baldridge, Honglak Lee +1

Localized Narratives is a dataset with detailed natural language descriptions of images paired with mouse traces that provide a sparse, fine-grained visual grounding for phrases. W…

cs.CV2020

SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information

Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong +2

Fully-automatic execution is the ultimate goal for many Computer Vision applications. However, this objective is not always realistic in tasks associated with high failure costs, s…

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