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Yilun Zhang

4 papers hereh-index 489 citations7 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
same name
  • Yilun Zhang — 4 papers, h 3
  • Yilun Zhang — 2 papers, h 2
  • Yilun Zhang — 2 papers, h 3
  • Yilun Zhang — 1 paper, h 3
  • Yilun Zhang — 1 paper, h 2

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
20182023
most citedA real-time spatiotemporal AI model analyzes skill in open surgical videos

6 citations · 6 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

On the Importance of Spatial Relations for Few-shot Action Recognition

Yilun Zhang, Yuqian Fu, Xingjun Ma +4

Deep learning has achieved great success in video recognition, yet still struggles to recognize novel actions when faced with only a few examples. To tackle this challenge, few-sho…

cs.CV2021★ 6 cited

A real-time spatiotemporal AI model analyzes skill in open surgical videos

Emmett D. Goodman, Krishna K. Patel, Yilun Zhang +10

Open procedures represent the dominant form of surgery worldwide. Artificial intelligence (AI) has the potential to optimize surgical practice and improve patient outcomes, but eff…

cs.CV2019

DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance

Yilun Zhang, Ty Nguyen, Ian D. Miller +4

Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution. Accurate depth se…

cs.CV2018

Multiview Supervision By Registration

Yilun Zhang, Hyun Soo Park

This paper presents a semi-supervised learning framework to train a keypoint detector using multiview image streams given the limited labeled data (typically <4\%). We leverage t…

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