Search Results for author:
Found 12 papers, 4 papers with code
M-LLM Based Video Frame Selection for Efficient Video Understanding
Empirical results show that the proposed M-LLM video frame selector improves the performances various downstream video Large Language Model (video-LLM) across medium (ActivityNet, NExT-QA) and long (EgoSchema, LongVideoBench) context video question answering benchmarks.
SitPose: Real-Time Detection of Sitting Posture and Sedentary Behavior Using Ensemble Learning With Depth Sensor
Finally, we deployed the SitPose system based on this ensemble model to encourage better sitting posture and to reduce sedentary habits.
Real-Time Fall Detection Using Smartphone Accelerometers and WiFi Channel State Information
In recent years, as the population ages, falls have increasingly posed a significant threat to the health of the elderly.
Freqformer: Frequency-Domain Transformer for 3-D Visualization and Quantification of Human Retinal Circulation
We introduce Freqformer, a novel Transformer-based architecture designed for 3-D, high-definition visualization of human retinal circulation from a single scan in commercial optical coherence tomography angiography (OCTA).
Multimodal Instruction Tuning with Hybrid State Space Models
Remarkably, our model enhances inference efficiency for high-resolution images and high-frame-rate videos by about 4 times compared to current models, with efficiency gains increasing as image resolution or video frames rise.
BreakNet: Discontinuity-Resilient Multi-Scale Transformer Segmentation of Retinal Layers
Visible light optical coherence tomography (vis-OCT) is gaining traction for retinal imaging due to its high resolution and functional capabilities.
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
This kind of category descriptions contain the characteristics of the aspect categories, guiding the construction of discriminative category prototypes.
Gaussian Time Machine: A Real-Time Rendering Methodology for Time-Variant Appearances
In this paper, we present Gaussian Time Machine (GTM) which models the time-dependent attributes of Gaussian primitives with discrete time embedding vectors decoded by a lightweight Multi-Layer-Perceptron(MLP).
Fully Automated OCT-based Tissue Screening System
This study introduces a groundbreaking optical coherence tomography (OCT) imaging system dedicated for high-throughput screening applications using ex vivo tissue culture.
Sub2Full: split spectrum to boost OCT despeckling without clean data
Optical coherence tomography (OCT) suffers from speckle noise, causing the deterioration of image quality, especially in high-resolution modalities like visible light OCT (vis-OCT).
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge
When delineating lesions from medical images, a human expert can always keep in mind the anatomical structure behind the voxels.
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
Time series data compression is emerging as an important problem with the growth in IoT devices and sensors.
