Search Results for author: Ke Yu

Found 15 papers, 10 papers with code

ReconfigISP: Reconfigurable Camera Image Processing Pipeline

no code implementations ICCV 2021 Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu

Image Signal Processor (ISP) is a crucial component in digital cameras that transforms sensor signals into images for us to perceive and understand.

Image Restoration Neural Architecture Search +1

Can contrastive learning avoid shortcut solutions?

1 code implementation21 Jun 2021 Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra

However, we observe that the contrastive loss does not always sufficiently guide which features are extracted, a behavior that can negatively impact the performance on downstream tasks via "shortcuts", i. e., by inadvertently suppressing important predictive features.

Contrastive Learning

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

1 code implementation11 Dec 2020 Li Sun, Ke Yu, Kayhan Batmanghelich

Experiments on large-scale Computer Tomography (CT) datasets of lung images show that our approach compares favorably to baseline methods that do not account for the context.

Representation Learning Self-Supervised Learning

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

4 code implementations CVPR 2021 Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dimension.

Video Super-Resolution

Understanding Deformable Alignment in Video Super-Resolution

no code implementations15 Sep 2020 Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

Aside from the contributions to deformable alignment, our formulation inspires a more flexible approach to introduce offset diversity to flow-based alignment, improving its performance.

Optical Flow Estimation Video Super-Resolution

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN

no code implementations5 Aug 2020 Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

During training, we adopt a hierarchical structure that simultaneously generates a low-resolution version of the image and a randomly selected sub-volume of the high-resolution image.

Data Augmentation Domain Adaptation +4

Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

1 code implementation1 Jun 2020 Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich

We use the Variational Auto-Encoder (VAE) framework to encode the chemical structures of molecules and use the knowledge-based drug-drug similarity to induce the clustering of drugs in hyperbolic space.

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

8 code implementations7 May 2019 Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy

In this work, we propose a novel Video Restoration framework with Enhanced Deformable networks, termed EDVR, to address these challenges.

 Ranked #1 on Deblurring on REDS

Deblurring Video Restoration +1

Path-Restore: Learning Network Path Selection for Image Restoration

no code implementations23 Apr 2019 Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy

To leverage this, we propose Path-Restore, a multi-path CNN with a pathfinder that can dynamically select an appropriate route for each image region.

Denoising Image Restoration

Deep Network Interpolation for Continuous Imagery Effect Transition

2 code implementations CVPR 2019 Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy

Deep convolutional neural network has demonstrated its capability of learning a deterministic mapping for the desired imagery effect.

Image Restoration Image-to-Image Translation +2

Improving On-policy Learning with Statistical Reward Accumulation

no code implementations7 Sep 2018 Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy

Most methods in deep-RL achieve good results via the maximization of the reward signal provided by the environment, typically in the form of discounted cumulative returns.

Atari Games

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

29 code implementations1 Sep 2018 Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang

To further enhance the visual quality, we thoroughly study three key components of SRGAN - network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN).

Face Hallucination Image Super-Resolution +1

Deep Convolution Networks for Compression Artifacts Reduction

2 code implementations9 Aug 2016 Ke Yu, Chao Dong, Chen Change Loy, Xiaoou Tang

Lossy compression introduces complex compression artifacts, particularly blocking artifacts, ringing effects and blurring.

Transfer Learning

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