b'Jinwei Gu'

research

∙ 05/23/2023

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Developing and integrating advanced image sensors with novel algorithms ...

0 Yuekun Dai, et al. ∙

research

∙ 04/20/2023

MIPI 2023 Challenge on RGBW Remosaic: Methods and Results

Developing and integrating advanced image sensors with novel algorithms ...

1 Qianhui Sun, et al. ∙

research

∙ 04/20/2023

MIPI 2023 Challenge on RGBW Fusion: Methods and Results

Developing and integrating advanced image sensors with novel algorithms ...

1 Qianhui Sun, et al. ∙

research

∙ 04/12/2023

Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera

Due to the difficulty in collecting large-scale and perfectly aligned pa...

4 Ruicheng Feng, et al. ∙

research

∙ 03/29/2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration

In this paper, orthogonal to the existing data and model studies, we ins...

3 Man Zhou, et al. ∙

research

∙ 03/29/2023

Real-time Controllable Denoising for Image and Video

Controllable image denoising aims to generate clean samples with human p...

0 Zhaoyang Zhang, et al. ∙

research

∙ 10/20/2022

Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement

With the advent of deep learning methods replacing the ISP in transformi...

0 Jinha Kim, et al. ∙

research

∙ 10/11/2022

Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment

The increased resolution of real-world videos presents a dilemma between...

0 Haoning Wu, et al. ∙

research

∙ 10/11/2022

Deep Fourier Up-Sampling

Existing convolutional neural networks widely adopt spatial down-/up-sam...

11 Man Zhou, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

1 Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

9 Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

4 Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

4 Wenxiu Sun, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

Developing and integrating advanced image sensors with novel algorithms ...

9 Ruicheng Feng, et al. ∙

research

∙ 07/29/2022

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond

We show that pre-trained Generative Adversarial Networks (GANs) such as ...

14 Kelvin C. K. Chan, et al. ∙

research

∙ 08/12/2021

Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography

The lensless pinhole camera is perhaps the earliest and simplest form of...

8 Joshua D. Rego, et al. ∙

research

∙ 04/21/2021

Lighting the Darkness in the Deep Learning Era

Low-light image enhancement (LLIE) aims at improving the perception or i...

15 Chongyi Li, et al. ∙

research

∙ 04/19/2021

Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network

Recent development of Under-Display Camera (UDC) systems provides a true...

17 Ruicheng Feng, et al. ∙

research

∙ 03/19/2021

HDR Video Reconstruction with Tri-Exposure Quad-Bayer Sensors

We propose a novel high dynamic range (HDR) video reconstruction method ...

0 Yitong Jiang, et al. ∙

research

∙ 03/12/2021

iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging

Indirect Time-of-Flight (iToF) cameras are a promising depth sensing tec...

11 Felipe Gutierrez-Barragan, et al. ∙

research

∙ 12/01/2020

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

We show that pre-trained Generative Adversarial Networks (GANs), e.g., S...

0 Kelvin C. K. Chan, et al. ∙

research

∙ 11/10/2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

This paper reviews the second AIM learned ISP challenge and provides the...

0 Andrey Ignatov, et al. ∙

research

∙ 05/24/2020

JPAD-SE: High-Level Semantics for Joint Perception-Accuracy-Distortion Enhancement in Image Compression

While humans can effortlessly transform complex visual scenes into simpl...

3 Shiyu Duan, et al. ∙

research

∙ 07/31/2019

Video Stitching for Linear Camera Arrays

Despite the long history of image and video stitching research, existing...

3 Wei-Sheng Lai, et al. ∙

research

∙ 01/12/2019

NRMVS: Non-Rigid Multi-View Stereo

Scene reconstruction from unorganized RGB images is an important task in...

16 Matthias Innmann, et al. ∙

research

∙ 01/09/2019

Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Depth sensing is crucial for 3D reconstruction and scene understanding. ...

14 Chao Liu, et al. ∙

research

∙ 01/08/2019

Neural Inverse Rendering of an Indoor Scene from a Single Image

Inverse rendering aims to estimate physical scene attributes (e.g., refl...

12 Soumyadip Sengupta, et al. ∙

research

∙ 12/19/2018

Very Power Efficient Neural Time-of-Flight

Time-of-Flight (ToF) cameras require active illumination to obtain depth...

16 Yan Chen, et al. ∙

research

∙ 12/10/2018

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

This paper proposes a deep neural architecture, PlaneRCNN, that detects ...

4 Chen Liu, et al. ∙

research

∙ 12/06/2018

Context-Aware Synthesis and Placement ofObject Instances

Learning to insert an object instance into an image in a semantically co...

6 Donghoon Lee, et al. ∙

research

∙ 12/06/2018

Context-Aware Synthesis and Placement of Object Instances

Learning to insert an object instance into an image in a semantically co...

0 Donghoon Lee, et al. ∙

research

∙ 04/23/2018

Switchable Temporal Propagation Network

Videos contain highly redundant information between frames. Such redunda...

0 Sifei Liu, et al. ∙

research

∙ 01/16/2018

Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

Motion blur is a fundamental problem in computer vision as it impacts im...

0 Huaijin Chen, et al. ∙

research

∙ 12/09/2017

MapNet: Geometry-Aware Learning of Maps for Camera Localization

Maps are a key component in image-based camera localization and visual S...

0 Samarth Brahmbhatt, et al. ∙

research

∙ 12/06/2017

Separating Reflection and Transmission Images in the Wild

The reflections caused by common semi-reflectors, such as glass windows,...

0 Patrick Wieschollek, et al. ∙

research

∙ 10/03/2017

Learning Affinity via Spatial Propagation Networks

In this paper, we propose spatial propagation networks for learning the ...

0 Sifei Liu, et al. ∙

research

∙ 09/14/2017

Learning to Segment Instances in Videos with Spatial Propagation Network

We propose a deep learning-based framework for instance-level object seg...

0 Jingchun Cheng, et al. ∙

research

∙ 05/19/2017

A Lightweight Approach for On-the-Fly Reflectance Estimation

Estimating surface reflectance (BRDF) is one key component for complete ...

0 Kihwan Kim, et al. ∙

research

∙ 12/03/2016

Deep Learning with Energy-efficient Binary Gradient Cameras

Power consumption is a critical factor for the deployment of embedded co...

0 Suren Jayasuriya, et al. ∙

Jinwei Gu

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