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T. Wong

6 papers hereh-index 446.8k citations215 works total

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

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
  • eess.IV1
same name
  • T. Wong — 44 papers, h 34
  • T. Wong — 18 papers, h 26
  • T. Wong — 13 papers, h 3
  • T. Wong — 12 papers, h 16
  • T. Wong — 12 papers, h 4
  • T. Wong — 8 papers, h 41

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 citedReal-time Deep Video Deinterlacing

8 citations · 10 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

Jiatai Lin, Guoqiang Han, Xuemiao Xu +5

Class activation mapping~(CAM), a visualization technique for interpreting deep learning models, is now commonly used for weakly supervised semantic segmentation~(WSSS) and object…

cs.CV2020

Enhance Convolutional Neural Networks with Noise Incentive Block

Menghan Xia, Yi Wang, Chu Han +1

As a generic modeling tool, Convolutional Neural Networks (CNNs) have been widely employed in image generation and translation tasks. However, when fed with a flat input, current C…

cs.CV2018

Binocular Tone Mapping with Improved Overall Contrast and Local Details

Zhuming Zhang, Xinghong Hu, Xueting Liu +1

Tone mapping is a commonly used technique that maps the set of colors in high-dynamic-range (HDR) images to another set of colors in low-dynamic-range (LDR) images, to fit the need…

cs.CV2017★ 8 cited

Real-time Deep Video Deinterlacing

Haichao Zhu, Xueting Liu, Xiangyu Mao +1

Interlacing is a widely used technique, for television broadcast and video recording, to double the perceived frame rate without increasing the bandwidth. But it presents annoying…

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