Search Results for author: Zhilu Zhang

Found 20 papers, 15 papers with code

Learning Real-World Image De-Weathering with Imperfect Supervision

1 code implementation23 Oct 2023 Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, WangMeng Zuo

Real-world image de-weathering aims at removing various undesirable weather-related artifacts.

Pseudo Label

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

1 code implementation3 Oct 2023 Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei, WangMeng Zuo

The color component is estimated from aligned multi-exposure images, while the structure one is generated through a structure-focused network that is supervised by the color component and an input reference (\eg, medium-exposure) image.

HDR Reconstruction

RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution

1 code implementation30 Jun 2023 Renlong Wu, Zhilu Zhang, Shuohao Zhang, Hongzhi Zhang, WangMeng Zuo

The main challenge of BurstSR is to effectively combine the complementary information from input frames, while existing methods still struggle with it.

Super-Resolution

Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution

1 code implementation10 Dec 2022 Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, WangMeng Zuo

On the other hand, alignment algorithms in existing VSR methods perform poorly for real-world videos, leading to unsatisfactory results.

Optical Flow Estimation Video Super-Resolution

Self-Supervised Image Restoration with Blurry and Noisy Pairs

1 code implementation14 Nov 2022 Zhilu Zhang, Rongjian Xu, Ming Liu, Zifei Yan, WangMeng Zuo

By learning in a collaborative manner, the deblurring and denoising tasks in our method can benefit each other.

Deblurring Denoising +1

Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations

1 code implementation2 Mar 2022 Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, WangMeng Zuo

For this purpose, we take the telephoto image instead of an additional high-resolution image as the supervision information and select a center patch from it as the reference to super-resolve the corresponding short-focus image patch.

Reference-based Super-Resolution Self-Supervised Learning

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision

1 code implementation ICCV 2021 Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, WangMeng Zuo

To diminish the effect of color inconsistency in image alignment, we introduce to use a global color mapping (GCM) module to generate an initial sRGB image given the input raw image, which can keep the spatial location of the pixels unchanged, and the target sRGB image is utilized to guide GCM for converting the color towards it.

Optical Flow Estimation

Ex uno plures: Splitting One Model into an Ensemble of Subnetworks

no code implementations9 Jun 2021 Zhilu Zhang, Vianne R. Gao, Mert R. Sabuncu

We show that the proposed subnetwork ensembling method can perform as well as standard deep ensembles in both accuracy and uncertainty estimates, yet with a computational efficiency similar to MC dropout.

Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation

no code implementations31 Jul 2020 Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun

We propose a simple, easy-to-optimize distillation method for learning the conditional predictive distribution of a pre-trained dropout model for fast, sample-free uncertainty estimation in computer vision tasks.

Depth Estimation Semantic Segmentation

Self-Distillation as Instance-Specific Label Smoothing

1 code implementation NeurIPS 2020 Zhilu Zhang, Mert R. Sabuncu

It has been recently demonstrated that multi-generational self-distillation can improve generalization.

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering

no code implementations19 May 2020 Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng

In particular, projection matrices are sought under the guidance of building new data representations, such that the spatial information is retained and projections are enhanced by the goal of clustering, which helps construct optimal projection directions.

Clustering Vocal Bursts Valence Prediction

Deep Adaptive Inference Networks for Single Image Super-Resolution

1 code implementation8 Apr 2020 Ming Liu, Zhilu Zhang, Liya Hou, WangMeng Zuo, Lei Zhang

Nonetheless, content and resource adaptive model is more preferred, and it is encouraging to apply simpler and efficient networks to the easier regions with less details and the scenarios with restricted efficiency constraints.

Image Super-Resolution

Omnibus Dropout for Improving The Probabilistic Classification Outputs of ConvNets

no code implementations25 Sep 2019 Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu

Motivated by this, we explore the use of various structured dropout techniques to promote model diversity and improve the quality of probabilistic predictions.

Active Learning Classification +1

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout

no code implementations23 Jun 2019 Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu

Motivated by this, we explore the use of structured dropout to promote model diversity and improve confidence calibration.

Active Learning Bayesian Inference +1

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