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Found 10 papers, 1 papers with code
Teach Large Language Models to Forget Privacy
Large Language Models (LLMs) have proven powerful, but the risk of privacy leakage remains a significant concern.
Split-and-Denoise: Protect large language model inference with local differential privacy
Large Language Models (LLMs) shows powerful capability in natural language understanding by capturing hidden semantics in vector space.
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Reinforcement learning (RL) integrated as a component in the EA framework has demonstrated superior performance in recent years.
Decarbonization patterns of residential building operations in China and India
(2) Building electrification played a significant role in decarbonizing space cooling (-87. 7 in China and -130. 2 kilograms of carbon dioxide (kgCO2) per household in India) and appliances (-169. 7 in China and -43. 4 kgCO2 per household in India).
SuperGF: Unifying Local and Global Features for Visual Localization
In this study, we present a novel method called SuperGF, which effectively unifies local and global features for visual localization, leading to a higher trade-off between localization accuracy and computational efficiency.
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Large-scale Bundle Adjustment (BA) requires massive memory and computation resources which are difficult to be fulfilled by existing BA libraries.
MegLoc: A Robust and Accurate Visual Localization Pipeline
In this paper, we present a visual localization pipeline, namely MegLoc, for robust and accurate 6-DoF pose estimation under varying scenarios, including indoor and outdoor scenes, different time across a day, different seasons across a year, and even across years.
Method Towards CVPR 2021 SimLocMatch Challenge
This report describes Megvii-3D team's approach towards SimLocMatch Challenge @ CVPR 2021 Image Matching Workshop.
Method Towards CVPR 2021 Image Matching Challenge
This report describes Megvii-3D team's approach towards CVPR 2021 Image Matching Workshop.
Operation management of green ports and shipping networks: overview and research opportunities
This study highlights the importance and necessity of investigating emergent research problems in the operation management of green ports and maritime shipping networks.
