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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...
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05/28/2023
Quasi-linear fractional-order operators in Lipschitz domains
We prove Besov boundary regularity for solutions of the homogeneous Diri...
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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...
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03/16/2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
Recent years have witnessed impressive progress in super-resolution (SR)...
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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...
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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...
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03/08/2023
Video-P2P: Video Editing with Cross-attention Control
This paper presents Video-P2P, a novel framework for real-world video ed...
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12/28/2022
Fractional Elliptic Problems on Lipschitz Domains: Regularity and Approximation
This survey hinges on the interplay between regularity and approximation...
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12/21/2022
What Makes for Good Tokenizers in Vision Transformer?
The architecture of transformers, which recently witness booming applica...
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11/25/2022
Mutual Guidance and Residual Integration for Image Enhancement
Previous studies show the necessity of global and local adjustment for i...
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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...
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07/20/2022
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
With the rapid development of mobile devices, modern widely-used mobile ...
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07/01/2022
Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer
Human intention prediction provides an augmented solution for the design...
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04/06/2022
Video Demoireing with Relation-Based Temporal Consistency
Moire patterns, appearing as color distortions, severely degrade image a...
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03/29/2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Recent studies have shown the importance of modeling long-range interact...
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03/19/2022
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
For video frame interpolation (VFI), existing deep-learning-based approa...
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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...
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11/30/2021
Revisiting Temporal Alignment for Video Restoration
Long-range temporal alignment is critical yet challenging for video rest...
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11/23/2021
Reviewing continual learning from the perspective of human-level intelligence
Humans' continual learning (CL) ability is closely related to Stability ...
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11/21/2021
Learning by Active Forgetting for Neural Networks
Remembering and forgetting mechanisms are two sides of the same coin in ...
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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...
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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...
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05/13/2021
Finite element algorithms for nonlocal minimal graphs
We discuss computational and qualitative aspects of the fractional Plate...
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04/30/2021
Unsupervised data augmentation for object detection
Data augmentation has always been an effective way to overcome overfitti...
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03/29/2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution
We consider the single image super-resolution (SISR) problem, where a hi...
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01/03/2021
Time fractional gradient flows: Theory and numerics
We develop the theory of fractional gradient flows: an evolution aimed a...
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07/23/2020
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Video super-resolution (VSR) aims to utilize multiple low-resolution fra...
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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 ...
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04/11/2020
Quantitative Stability and Error Estimates for Optimal Transport Plans
Optimal transport maps and plans between two absolutely continuous measu...
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01/27/2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
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06/10/2019
Linear and Nonlinear Fractional Diffusion
This paper surveys recent analytical and numerical research on linear pr...
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02/27/2019
Object-driven Text-to-Image Synthesis via Adversarial Training
In this paper, we propose Object-driven Attentive Generative Adversarial...
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01/01/2019
Rethinking on Multi-Stage Networks for Human Pose Estimation
Existing pose estimation approaches can be categorized into single-stage...
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11/06/2018
Evolvement Constrained Adversarial Learning for Video Style Transfer
Video style transfer is a useful component for applications such as augm...
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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...
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05/20/2018
STS Classification with Dual-stream CNN
The structured time series (STS) classification problem requires the mod...
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10/19/2016