323 citations · 1k across the 9 of their papers we have counts for
9 papers
TCBERT: A Technical Report for Chinese Topic Classification BERT
Ting Han, Kunhao Pan, Xinyu Chen +5
Bidirectional Encoder Representations from Transformers or BERT~\cite{devlin-etal-2019-bert} has been one of the base models for various NLP tasks due to its remarkable performance…
VRT: A Video Restoration Transformer
Jingyun Liang, Jiezhang Cao, Yuchen Fan +5
Video restoration (e.g., video super-resolution) aims to restore high-quality frames from low-quality frames. Different from single image restoration, video restoration generally r…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
Video Instance Segmentation
Linjie Yang, Yuchen Fan, Ning Xu
In this paper we present a new computer vision task, named video instance segmentation. The goal of this new task is simultaneous detection, segmentation and tracking of instances…
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan +4
Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentatio…
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Ning Xu, Linjie Yang, Yuchen Fan +6
Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentatio…
Wide Activation for Efficient and Accurate Image Super-Resolution
Jiahui Yu, Yuchen Fan, Jianchao Yang +4
In this report we demonstrate that with same parameters and computational budgets, models with wider features before ReLU activation have significantly better performance for singl…
Non-Local Recurrent Network for Image Restoration
Ding Liu, Bihan Wen, Yuchen Fan +2
Many classic methods have shown non-local self-similarity in natural images to be an effective prior for image restoration. However, it remains unclear and challenging to make use…