Search Results for author:
Found 22 papers, 6 papers with code
Efficient Test-Time Adaptation of Vision-Language Models
TDA works with a lightweight key-value cache that maintains a dynamic queue with few-shot pseudo labels as values and the corresponding test-sample features as keys.
EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation
As virtual environments continue to advance, the demand for immersive and emotionally engaging experiences has grown.
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
This research offers a promising solution to the data scarcity challenge in rail defect detection, showcasing the potential for robust ICS development in this domain.
Human-Centric Resource Allocation for the Metaverse With Multiaccess Edge Computing
Each agent learns the interplay between agents by graph convolutional networks with self-attention mechanism to further determine the resource usage for one user in the metaverse.
Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic
The experimental results have illustrated the capability of our proposed solution in exploiting the resources between high and low resource languages and dialects.
Efficient Decoder for End-to-End Oriented Object Detection in Remote Sensing Images
To address these limitations, we propose an end-to-end oriented detector equipped with an efficient decoder, which incorporates two technologies, Rotated RoI attention (RRoI attention) and Selective Distinct Queries (SDQ).
Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf
In this paper, we utilize content-localization based neural machine translation to develop sentiment and hate classifiers for two low-resourced Arabic dialects: Levantine and Gulf.
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN
By combining ensemble learning with transfer learning models (VGG-19, MobileNetV3, and ResNet-50), we improved the classification accuracy and achieved consistent performance at a certain phase of training.
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media
We validated the authenticity of our proposed dataset by developing neural MT models for four Arabic dialects.
Weakly Supervised 3D Open-vocabulary Segmentation
Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research.
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training
This distribution shift can negatively impact the performance of deep learning models on unseen samples, presenting a significant challenge for developing new computational pathology applications.
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
In addition, we design a domain randomization technique that alternatively randomizes the geometry styles of point clouds and aggregates their embeddings, ultimately leading to a generalizable model that can improve 3DSS under various adverse weather effectively.
StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
In addition, it transforms the grid features according to the reference style which directly leads to high-quality zero-shot style transfer.
EVM-CNN: Real-Time Contactless Heart Rate Estimation from Facial Video
Recently, it was shown that HR information can be extracted from facial videos by spatial decomposition and temporal filtering.
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion
We propose a 6D RGB-D odometry approach that finds the relative camera pose between consecutive RGB-D frames by keypoint extraction and feature matching both on the RGB and depth image planes.
Sitting Posture Recognition Using a Spiking Neural Network
To increase the quality of citizens' lives, we designed a personalized smart chair system to recognize sitting behaviors.
Learning to Estimate 3D Human Pose from Point Cloud
In this paper, we study the task of 3D human pose estimation from depth images.
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
In this article, we discuss some of the key issues required in order to attain realization of metaverse services.
SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence
In this work, we introduce the \emph{Smart-City CCTV Violence Detection (SCVD)} dataset, specifically designed to facilitate the learning of weapon distribution in surveillance videos.
Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
Experiments show that our approach achieves a new state-of-the-art performance on VG and GQA datasets and makes a trade-off between the performance of tail predicates and head ones.
Stable and Effective One-Step Method for Person Search
In order to process divergence between detection and re-identification, we introduce switchable normalization and gradient centralization to improve the stability of the model.
sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
While viewing on a mobile device, a user can manually zoom into this high resolution video to get more detailed view of objects and activities.
