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Found 7 papers, 1 papers with code
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Federated learning (FL) allows collaborative machine learning training without sharing private data.
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
This poses a paradox as the necessary camera pose must be estimated from the entire dataset, even though the data arrives sequentially and future chunks are inaccessible.
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
In light of the advancements in current multi-modal large language models, we explore their effectiveness in counterfactual reasoning.
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering
Efficient photorealistic rendering of human 3D dynamics is the core of immersive meetings.
E$^3$Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation
To achieve this goal, E$^3$Pose incorporates an attention-based LSTM to predict the occlusion information of each camera view and guide camera selection before cameras are selected to process the images of a scene, and runs a camera selection algorithm based on the Lyapunov optimization framework to make long-term adaptive selection decisions.
LMBAO: A Landmark Map for Bundle Adjustment Odometry in LiDAR SLAM
LiDAR odometry is one of the essential parts of LiDAR simultaneous localization and mapping (SLAM).
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
The basic idea of this system is to partition a deep neural network (DNN) into a front-end part running on the mobile device and a back-end part running on the edge server, with the key challenge being how to locate the optimal partition point to minimize the end-to-end inference delay.
