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Found 19 papers, 8 papers with code
Understanding Multimodal Deep Neural Networks: A Concept Selection View
The multimodal deep neural networks, represented by CLIP, have generated rich downstream applications owing to their excellent performance, thus making understanding the decision-making process of CLIP an essential research topic.
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
Next, we discuss several key challenges to achieve intelligent, efficient and secure Personal LLM Agents, followed by a comprehensive survey of representative solutions to address these challenges.
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
Generating multiview images from a single view facilitates the rapid generation of a 3D mesh conditioned on a single image.
Search Strategies for Self-driving Laboratories with Pending Experiments
To minimize station downtime and maximize experimental throughput, it is practical to run experiments in asynchronous parallel, in which multiple experiments are being performed at once in different stages.
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints
Unlike cloud-based deep learning models that are often large and uniform, edge-deployed models usually demand customization for domain-specific tasks and resource-limited environments.
AutoDroid: LLM-powered Task Automation in Android
Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones.
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
In this paper, we propose a Masked Spatio-Temporal Structure Prediction (MaST-Pre) method to capture the structure of point cloud videos without human annotations.
A Novel Ehanced Move Recognition Algorithm Based on Pre-trained Models with Positional Embeddings
The recognition of abstracts is crucial for effectively locating the content and clarifying the article.
The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction
We believe that the proposed MI-Motion benchmark dataset and baseline will facilitate future research in this area, ultimately leading to better understanding and modeling of multi-person interactions.
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
To overcome this, we propose HyperVD, a novel framework that learns snippet embeddings in hyperbolic space to improve model discrimination.
DroidBot-GPT: GPT-powered UI Automation for Android
Given a natural language description of a desired task, DroidBot-GPT can automatically generate and execute actions that navigate the app to complete the task.
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
Model elastification generates a high-quality search space of model architectures with the guidance of a developer-specified oracle model.
Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram
Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of heart murmur detection and related abnormal cardiac function identification from phonocardiograms (PCGs).
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image
However, existing methods cannot deal with large scenes containing hundreds of people, which encounter the challenges of large number of people, large variations in human scale, and complex spatial distribution.
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Then in the visual flow, visual prototypes are computed by a Temporal-Relational CrossTransformer (TRX) module for example.
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
This paper proposes a 4D backbone for long-term point cloud video understanding.
Differentiable Particle Filters through Conditional Normalizing Flow
Differentiable particle filters provide a flexible mechanism to adaptively train dynamic and measurement models by learning from observed data.
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Recent advances in incorporating neural networks into particle filters provide the desired flexibility to apply particle filters in large-scale real-world applications.
A fuzzy control scheme for deployment of space tethered system with tension constraint
In the meantime, the asymmetric constraint on tether tension is handled in controller design and stability analysis such that tether tension can be kept within a prescribed positive range during the deployment.
