activity
20202023
most citedVRT: A Video Restoration Transformer

82 citations · 181 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2023

NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation

Tim Meinhardt, Matt Feiszli, Yuchen Fan +2

Until recently, the Video Instance Segmentation (VIS) community operated under the common belief that offline methods are generally superior to a frame by frame online processing.…

cs.CV2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Ziyu Wan, Christian Richardt, Aljaž Božič +8

Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer pe…

cs.CV2023★ 18 cited

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

Yawei Li, Yuchen Fan, Xiaoyu Xiang +4

The aim of this paper is to propose a mechanism to efficiently and explicitly model image hierarchies in the global, regional, and local range for image restoration. To achieve tha…

eess.IV2022

Consistent Direct Time-of-Flight Video Depth Super-Resolution

Zhanghao Sun, Wei Ye, Jinhui Xiong +4

Direct time-of-flight (dToF) sensors are promising for next-generation on-device 3D sensing. However, limited by manufacturing capabilities in a compact module, the dToF data has a…

cs.CV2022★ 81 cited

Recurrent Video Restoration Transformer with Guided Deformable Attention

Jingyun Liang, Yuchen Fan, Xiaoyu Xiang +7

Video restoration aims at restoring multiple high-quality frames from multiple low-quality frames. Existing video restoration methods generally fall into two extreme cases, i.e., t…

cs.CV2022

HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars

Xiaoyu Xiang, Jon Morton, Fitsum A Reda +6

A promising direction for recovering the lost information in low-resolution headshot images is utilizing a set of high-resolution exemplars from the same identity. Complementary im…

cs.CV2022

Learning Spatio-Temporal Downsampling for Effective Video Upscaling

Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan +3

Downsampling is one of the most basic image processing operations. Improper spatio-temporal downsampling applied on videos can cause aliasing issues such as moiré patterns in space…

cs.CV2022★ 82 cited

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…

cs.CV2021

EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images

Prithviraj Dhar, Amit Kumar, Kirsten Kaplan +3

A practical eye authentication (EA) system targeted for edge devices needs to perform authentication and be robust to presentation attacks, all while remaining compute and latency…

eess.IV2021

Feature-Align Network with Knowledge Distillation for Efficient Denoising

Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan +6

We propose an efficient neural network for RAW image denoising. Although neural network-based denoising has been extensively studied for image restoration, little attention has bee…

cs.CV2020

EVRNet: Efficient Video Restoration on Edge Devices

Sachin Mehta, Amit Kumar, Fitsum Reda +4

Video transmission applications (e.g., conferencing) are gaining momentum, especially in times of global health pandemic. Video signals are transmitted over lossy channels, resulti…