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Michael C. Yip

59 papers hereh-index 394.9k citations109 works total

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

author position
  • first author1
  • middle author5
  • last author50

Across the 56 of 59 papers where every author was matched, so the position is known.

fields
  • cs.RO51
  • cs.CV4
  • cs.LG3
  • eess.IV1
same name
  • Michael C. Yip — 26 papers, h 6
  • Michael C. Yip — 8 papers, h 1
  • Michael C. Yip — 8 papers, h 5
  • Michael C. Yip — 5 papers, h 2
  • Michael C. Yip — 3 papers
  • Michael C. Yip — 3 papers, h 0

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
20172023
most citedSuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics

110 citations · 361 across the 53 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

3 papers · 2 filters

cs.CV2023

Investigating Low Data, Confidence Aware Image Prediction on Smooth Repetitive Videos using Gaussian Processes

Nikhil U. Shinde, Xiao Liang, Florian Richter +1

The ability to predict future states is crucial to informed decision-making while interacting with dynamic environments. With cameras providing a prevalent and information-rich sen…

cs.CV2023★ 1 cited

SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation

Shan Lin, Yuheng Zhi, Michael C. Yip

Without ground truth supervision, self-supervised depth estimation can be trapped in a local minimum due to the gradient-locality issue of the photometric loss. In this paper, we p…

cs.CV2023

Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer

Jingpei Lu, Florian Richter, Michael C. Yip

Solving the camera-to-robot pose is a fundamental requirement for vision-based robot control, and is a process that takes considerable effort and cares to make accurate. Traditiona…

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