b'Wenbo Li'

research

∙ 06/10/2023

From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm

Neural radiance fields (NeRF) have shown great success in novel view syn...

0 Kun Zhou, et al. ∙

research

∙ 05/28/2023

Quasi-linear fractional-order operators in Lipschitz domains

We prove Besov boundary regularity for solutions of the homogeneous Diri...

0 Juan Pablo Borthagaray, et al. ∙

research

∙ 04/12/2023

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Recently, Meta AI Research approaches a general, promptable Segment Anyt...

0 Wei Ji, et al. ∙

research

∙ 03/16/2023

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU

Recent years have witnessed impressive progress in super-resolution (SR)...

0 Wenqian Zhao, et al. ∙

research

∙ 03/14/2023

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions

ChatGPT is a powerful large language model (LLM) that has made remarkabl...

0 Yiming Tan, et al. ∙

research

∙ 03/13/2023

NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

Neural radiance fields (NeRF) show great success in novel view synthesis...

1 Kun Zhou, et al. ∙

research

∙ 03/08/2023

Video-P2P: Video Editing with Cross-attention Control

This paper presents Video-P2P, a novel framework for real-world video ed...

0 Shaoteng Liu, et al. ∙

research

∙ 12/28/2022

Fractional Elliptic Problems on Lipschitz Domains: Regularity and Approximation

This survey hinges on the interplay between regularity and approximation...

0 Juan Pablo Borthagaray, et al. ∙

research

∙ 12/21/2022

What Makes for Good Tokenizers in Vision Transformer?

The architecture of transformers, which recently witness booming applica...

9 Shengju Qian, et al. ∙

research

∙ 11/25/2022

Mutual Guidance and Residual Integration for Image Enhancement

Previous studies show the necessity of global and local adjustment for i...

0 Kun Zhou, et al. ∙

research

∙ 09/13/2022

Convergent, with rates, methods for normalized infinity Laplace, and related, equations

We propose a monotone, and consistent numerical scheme for the approxima...

0 Wenbo Li, et al. ∙

research

∙ 07/20/2022

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

With the rapid development of mobile devices, modern widely-used mobile ...

8 Xin Yu, et al. ∙

research

∙ 07/01/2022

Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer

Human intention prediction provides an augmented solution for the design...

0 Yang Xing, et al. ∙

research

∙ 04/06/2022

Video Demoireing with Relation-Based Temporal Consistency

Moire patterns, appearing as color distortions, severely degrade image a...

0 Xin Yu, et al. ∙

research

∙ 03/29/2022

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

Recent studies have shown the importance of modeling long-range interact...

8 Wenbo Li, et al. ∙

research

∙ 03/19/2022

Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation

For video frame interpolation (VFI), existing deep-learning-based approa...

0 Kun Zhou, et al. ∙

research

∙ 12/19/2021

On Efficient Transformer and Image Pre-training for Low-level Vision

Pre-training has marked numerous state of the arts in high-level compute...

7 Wenbo Li, et al. ∙

research

∙ 11/30/2021

Revisiting Temporal Alignment for Video Restoration

Long-range temporal alignment is critical yet challenging for video rest...

4 Kun Zhou, et al. ∙

research

∙ 11/23/2021

Reviewing continual learning from the perspective of human-level intelligence

Humans' continual learning (CL) ability is closely related to Stability ...

2 Yifan Chang, et al. ∙

research

∙ 11/21/2021

Learning by Active Forgetting for Neural Networks

Remembering and forgetting mechanisms are two sides of the same coin in ...

7 Jian Peng, et al. ∙

research

∙ 06/04/2021

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

Reference-based image super-resolution (RefSR) has shown promising succe...

0 Liying Lu, et al. ∙

research

∙ 05/21/2021

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

Single image super-resolution (SISR) deals with a fundamental problem of...

10 Wenbo Li, et al. ∙

research

∙ 05/13/2021

Finite element algorithms for nonlocal minimal graphs

We discuss computational and qualitative aspects of the fractional Plate...

0 Juan Pablo Borthagaray, et al. ∙

research

∙ 04/30/2021

Unsupervised data augmentation for object detection

Data augmentation has always been an effective way to overcome overfitti...

0 Yichen Zhang, et al. ∙

research

∙ 03/29/2021

Best-Buddy GANs for Highly Detailed Image Super-Resolution

We consider the single image super-resolution (SISR) problem, where a hi...

0 Wenbo Li, et al. ∙

research

∙ 01/03/2021

Time fractional gradient flows: Theory and numerics

We develop the theory of fractional gradient flows: an evolution aimed a...

0 Wenbo Li, et al. ∙

research

∙ 07/23/2020

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Video super-resolution (VSR) aims to utilize multiple low-resolution fra...

0 Wenbo Li, et al. ∙

research

∙ 07/16/2020

Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment

As a typical vehicle-cyber-physical-system (V-CPS), connected automated ...

0 Teng Liu, et al. ∙

research

∙ 04/11/2020

Quantitative Stability and Error Estimates for Optimal Transport Plans

Optimal transport maps and plans between two absolutely continuous measu...

0 Wenbo Li, et al. ∙

research

∙ 01/27/2020

Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...

7 Jie Chen, et al. ∙

research

∙ 06/10/2019

Linear and Nonlinear Fractional Diffusion

This paper surveys recent analytical and numerical research on linear pr...

0 Juan Pablo Borthagaray, et al. ∙

research

∙ 02/27/2019

Object-driven Text-to-Image Synthesis via Adversarial Training

In this paper, we propose Object-driven Attentive Generative Adversarial...

6 Wenbo Li, et al. ∙

research

∙ 01/01/2019

Rethinking on Multi-Stage Networks for Human Pose Estimation

Existing pose estimation approaches can be categorized into single-stage...

20 Wenbo Li, et al. ∙

research

∙ 11/06/2018

Evolvement Constrained Adversarial Learning for Video Style Transfer

Video style transfer is a useful component for applications such as augm...

0 Wenbo Li, et al. ∙

research

∙ 07/03/2018

Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition

We present a bootstrapping framework to simultaneously improve multi-per...

2 Wenbo Li, et al. ∙

research

∙ 05/20/2018

STS Classification with Dual-stream CNN

The structured time series (STS) classification problem requires the mod...

0 Shuchen Weng, et al. ∙

research

∙ 10/19/2016

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

Detection and learning based appearance feature play the central role in...

0 Fengwei Yu, et al. ∙

Wenbo Li

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