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Found 10 papers, 6 papers with code
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
When compared to the naive method of applying DNN-based SR on all the frames, Palantir can reduce the SR DNN inference overhead by 20 times (or 60 times) while preserving 54. 0-82. 6% (or 32. 8-64. 0%) of the quality gain.
RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
In this work, inspired by the stellar achievements of the diffusion model in CV and NLP, we adapt it to the RF domain and propose RF-Diffusion.
Effective Adapter for Face Recognition in the Wild
Traditional heuristic approaches-either training models directly on these degraded images or their enhanced counterparts using face restoration techniques-have proven ineffective, primarily due to the degradation of facial features and the discrepancy in image domains.
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.
NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation
The dataset shows that NELoRa can achieve 1. 84-2. 35 dB SNR gain over the standard LoRa decoder.
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
We propose DiffSRL, a dynamic state representation learning pipeline utilizing differentiable simulation that can embed complex dynamics models as part of the end-to-end training.
Trustworthy AI: A Computational Perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift developments, changing everyone's daily life and profoundly altering the course of human society.
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
In this study, we present a survey of the state-of-the-art deep learning methods for sensor-based human activity recognition.
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
The proposed approach is evaluated over 3 datasets (two local and one public).
Human-Computer Interaction
DeepKey: An EEG and Gait Based Dual-Authentication System
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics.
