Search Results for author: Yapeng Tian

Found 15 papers, 14 papers with code

Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing

1 code implementation ECCV 2020 Yapeng Tian, DIngzeyu Li, Chenliang Xu

In this paper, we introduce a new problem, named audio-visual video parsing, which aims to parse a video into temporal event segments and label them as either audible, visible, or both.

Multiple Instance Learning

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

1 code implementation CVPR 2020 Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

Optical Flow Estimation Video Super-Resolution

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

3 code implementations CVPR 2020 Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

Space-time Video Super-resolution Video Frame Interpolation +1

Deep Audio Prior

1 code implementation21 Dec 2019 Yapeng Tian, Chenliang Xu, DIngzeyu Li

We are interested in applying deep networks in the absence of training dataset.

Texture Synthesis

LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution

1 code implementation9 Sep 2019 Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao

In this paper, we develop a concise but efficient network architecture called linear compressing based skip-connecting network (LCSCNet) for image super-resolution.

Image Super-Resolution

CFSNet: Toward a Controllable Feature Space for Image Restoration

1 code implementation ICCV 2019 Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang

Deep learning methods have witnessed the great progress in image restoration with specific metrics (e. g., PSNR, SSIM).

Image Restoration Image Super-Resolution +1

An Attempt towards Interpretable Audio-Visual Video Captioning

no code implementations7 Dec 2018 Yapeng Tian, Chenxiao Guan, Justin Goodman, Marc Moore, Chenliang Xu

To achieve this, we propose a multimodal convolutional neural network-based audio-visual video captioning framework and introduce a modality-aware module for exploring modality selection during sentence generation.

Audio captioning Audio-Visual Video Captioning +2

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

2 code implementations7 Dec 2018 Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

Optical Flow Estimation Video Super-Resolution

Deep Learning for Single Image Super-Resolution: A Brief Review

1 code implementation9 Aug 2018 Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue

Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions.

Image Super-Resolution

Residual Dense Network for Image Super-Resolution

10 code implementations CVPR 2018 Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu

In this paper, we propose a novel residual dense network (RDN) to address this problem in image SR. We fully exploit the hierarchical features from all the convolutional layers.

Color Image Denoising Image Super-Resolution

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