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Fangwen Tu

4 papers hereh-index 8783 citations17 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.CV2
  • cs.NE1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedFast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report

13 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2021★ 13 cited

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Grigory Malivenko, David Plowman +35

Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually…

cs.NE2019

Adaptive Control for Marine Vessels Against Harsh Environmental Variation

Fangwen Tu, Shuzhi Sam Ge, Yoo Sang Choo +1

In this paper, robust control with sea state observer and dynamic thrust allocation is proposed for the Dynamic Positioning (DP) of an accommodation vessel in the presence of unkno…

cs.CV2018★ 2 cited

Saliency Guided Hierarchical Robust Visual Tracking

Fangwen Tu, Shuzhi Sam Ge, Yazhe Tang +1

A saliency guided hierarchical visual tracking (SHT) algorithm containing global and local search phases is proposed in this paper. In global search, a top-down saliency model is n…

cs.CV2018

Shallow Cue Guided Deep Visual Tracking via Mixed Models

Fangwen Tu, Shuzhi Sam Ge, Chang Chieh Hang

In this paper, a robust visual tracking approach via mixed model based convolutional neural networks (SDT) is developed. In order to handle abrupt or fast motion, a prior map is ge…

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