mlsanityData to 7 Oct 2026

Multi-task Video Enhancement for Dental Interventions

arXiv 2210.16236 ↗First posted 25 Oct 2022cs.CV cs.LG eess.IVcited by 2

Not on the map. Why?

Abstract (arXiv)

A microcamera firmly attached to a dental handpiece allows dentists to continuously monitor the progress of conservative dental procedures. Video enhancement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular, the proposed network jointly leverages video restoration and temporal alignment in a multi-scale manner for effective video enhancement. Our experiments on videos of natural teeth in phantom scenes demonstrate that the proposed network achieves state-of-the-art results in multiple tasks with near real-time processing. We release Vident-lab at https://doi.org/10.34808/1jby-ay90, the first dataset of dental videos with multi-task labels to facilitate further research in relevant video processing applications.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 20 of its 33 references that are in the map. First posted on arXiv 25 Oct 2022.

Builds on

20 of 33 references.

References · 20

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  3. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  4. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,518
  5. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  6. 2019EDVR: Video Restoration with Enhanced Deformable Convolutional Networkscited by 492
  7. 2016Cross-stitch Networks for Multi-task Learningcited by 466
  8. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  9. 2018Learning Blind Video Temporal Consistencycited by 247
  10. 2018PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsingcited by 224
  11. 2017Video Frame Interpolation via Adaptive Separable Convolutioncited by 211
  12. 2016UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memorycited by 200
8 more
  1. 2020MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learningcited by 157
  2. 2019Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentationcited by 141
  3. 2016Deep Image Homography Estimationcited by 135
  4. 2019Spatio-Temporal Filter Adaptive Network for Video Deblurringcited by 106
  5. 2020Deep Homography Estimation for Dynamic Scenescited by 60
  6. 2018Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotationscited by 51
  7. 2018Model-blind Video Denoising Via Frame-to-frame Trainingcited by 34
  8. 2020Cinematic-L1 Video Stabilization with a Log-Homography Modelcited by 4

Built on by

Cited by year

Citing papers per year: 2023: 2.

2 papers.