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researcher

J. Shotton

13 papers hereh-index 5737.7k citations122 works total

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

author position
  • middle author7
  • last author6

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV13
same name
  • J. Shotton — 9 papers, h 6
  • J. Shotton — 3 papers, h 3

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
20152023
most citedDecision Forests, Convolutional Networks and the Models in-Between

35 citations · 111 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 4 cited

A high fidelity synthetic face framework for computer vision

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers +6

Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition…

cs.CV2020★ 3 cited

The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization

Jingjing Shen, Thomas J. Cashman, Qi Ye +5

Realtime perceptual and interaction capabilities in mixed reality require a range of 3D tracking problems to be solved at low latency on resource-constrained hardware such as head-…

cs.CV2020

High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images

Stephan J. Garbin, Marek Kowalski, Matthew Johnson +1

Generating photorealistic images of human faces at scale remains a prohibitively difficult task using computer graphics approaches. This is because these require the simulation of…

cs.CV2020

CONFIG: Controllable Neural Face Image Generation

Marek Kowalski, Stephan J. Garbin, Virginia Estellers +3

Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generativ…

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