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09/11/2023
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
Super-resolution tasks oriented to images captured in ultra-dark environ...
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05/25/2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
In light of the significant progress made in the development and applica...
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02/07/2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
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11/05/2022
Efficient Cavity Searching for Gene Network of Influenza A Virus
High order structures (cavities and cliques) of the gene network of infl...
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09/19/2022
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation
This paper presents a lightweight, efficient calibration neural network ...
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11/08/2021
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
Video deraining is an important issue for outdoor vision systems and has...
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10/01/2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
In recent years, Bi-Level Optimization (BLO) techniques have received ex...
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09/28/2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning
Meta-learning (a.k.a. learning to learn) has recently emerged as a promi...
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09/15/2019
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
In this paper, we propose a communication- and computation-efficient alg...
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09/13/2018
Computer Vision-aided Atom Tracking in STEM Imaging
To address the SMC'17 data challenge -- "Data mining atomically resolved...
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09/13/2018
Discovering Features in Sr_14Cu_24O_41 Neutron Single Crystal Diffraction Data by Cluster Analysis
To address the SMC'18 data challenge, "Discovering Features in Sr_14Cu_2...
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10/16/2017