38 citations · 116 across the 15 of their papers we have counts for
14 papers · 1 filter
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
Kun Zhou, Wenbo Li, Nianjuan Jiang +2
Neural radiance fields (NeRF) have shown great success in novel view synthesis. However, recovering high-quality details from real-world scenes is still challenging for the existin…
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Kun Zhou, Wenbo Li, Yi Wang +4
Neural radiance fields (NeRF) show great success in novel view synthesis. However, in real-world scenes, recovering high-quality details from the source images is still challenging…
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
Yujing Lou, Zelin Ye, Yang You +5
Various recent methods attempt to implement rotation-invariant 3D deep learning by replacing the input coordinates of points with relative distances and angles. Due to the incomple…
Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network
Xiaogang Xu, Yitong Yu, Nianjuan Jiang +3
To facilitate video denoising research, we construct a compelling dataset, namely, "Practical Video Denoising Dataset" (PVDD), containing 200 noisy-clean dynamic video pairs in bot…
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi +3
Single image super-resolution (SISR) deals with a fundamental problem of upsampling a low-resolution (LR) image to its high-resolution (HR) version. Last few years have witnessed i…
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han +2
Skeleton-based action recognition has attracted research attentions in recent years. One common drawback in currently popular skeleton-based human action recognition methods is tha…
A deep learning based interactive sketching system for fashion images design
Yao Li, Xianggang Yu, Xiaoguang Han +3
In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information. The major challenge behind this syst…
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang +2
Estimating 3D human pose from a single image is a challenging task. This work attempts to address the uncertainty of lifting the detected 2D joints to the 3D space by introducing a…
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang +2
Estimating 3D human pose from a single image is a challenging task. This work attempts to address the uncertainty of lifting the detected 2D joints to the 3D space by introducing a…
Robust Video Background Identification by Dominant Rigid Motion Estimation
Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong +2
The ability to identify the static background in videos captured by a moving camera is an important pre-requisite for many video applications (e.g. video stabilization, stitching,…
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision
Kun Zhou, Jinmiao Cai, Yao Li +5
In this paper, a novel deep-learning based framework is proposed to infer 3D human poses from a single image. Specifically, a two-phase approach is developed. We firstly utilize a…
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information
Yulong Shi, Xiaoguang Han, Nianjuan Jiang +3
Although significant advances have been made in the area of human poses estimation from images using deep Convolutional Neural Network (ConvNet), it remains a big challenge to perf…
Locating 3D Object Proposals: A Depth-Based Online Approach
Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang +2
2D object proposals, quickly detected regions in an image that likely contain an object of interest, are an effective approach for improving the computational efficiency and accura…
Linear Global Translation Estimation with Feature Tracks
Zhaopeng Cui, Nianjuan Jiang, Chengzhou Tang +1
This paper derives a novel linear position constraint for cameras seeing a common scene point, which leads to a direct linear method for global camera translation estimation. Unlik…