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Found 16 papers, 5 papers with code
Weather-Magician: Reconstruction and Rendering Framework for 4D Weather Synthesis In Real Time
For tasks such as urban digital twins, VR/AR/game scene design, or creating synthetic films, the traditional industrial approach often involves manually modeling scenes and using various rendering engines to complete the rendering process.
Material Identification Via RFID For Smart Shopping
Cashierless stores rely on computer vision and RFID tags to associate shoppers with items, but concealed items placed in backpacks, pockets, or bags create challenges for theft prevention.
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction
The rapid accumulation of Electronic Health Records (EHRs) has transformed healthcare by providing valuable data that enhance clinical predictions and diagnoses.
AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents
As AI technology advances, it is driving innovation across industries, increasing the demand for scalable AI project deployment.
Leveraging Audio Representations for Vibration-Based Crowd Monitoring in Stadiums
In this paper, we present ViLA (Vibration Leverage Audio), a vibration-based method that reduces the dependency on labeled data by pre-training with unlabeled cross-modality data.
A Survey of Challenges and Sensing Technologies in Autonomous Retail Systems
Autonomous stores leverage advanced sensing technologies to enable cashier-less shopping, real-time inventory tracking, and seamless customer interactions.
WeVibe: Weight Change Estimation Through Audio-Induced Shelf Vibrations In Autonomous Stores
In response to these limitations, we made the following contributions: (1) We propose WeVibe, a first item weight change estimation system through active shelf vibration sensing.
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data
By adopting the graph attention transfer method, GRAPHNAD can effectively align the intermediate-layer attention representations of the backdoored model with that of the teacher model, forcing the backdoor neurons to transform into benign ones.
SpatialMe: Stereo Video Conversion Using Depth-Warping and Blend-Inpainting
Stereo video conversion aims to transform monocular videos into immersive stereo format.
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Recent studies have revealed that GNNs are highly susceptible to multiple adversarial attacks.
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
To achieve this objective, we ask: How to recover universal and hard backdoor triggers in GNNs?
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
The remarkable achievements of Artificial Intelligence (AI) algorithms, particularly in Machine Learning (ML) and Deep Learning (DL), have fueled their extensive deployment across multiple sectors, including Software Engineering (SE).
Progressive Frequency-Aware Network for Laparoscopic Image Desmoking
Laparoscopic surgery offers minimally invasive procedures with better patient outcomes, but smoke presence challenges visibility and safety.
Xformer: Hybrid X-Shaped Transformer for Image Denoising
The channel-wise Transformer block performs direct global context interactions across tokens defined by channel dimension.
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Observing that similar composition patterns tend to be shared by the cropping boundaries annotated nearly, we argue to find the beauty of composition from the rare samples by clustering the samples with similar cropping boundary annotations, ie, similar composition patterns.
Accurate Image Restoration with Attention Retractable Transformer
This is considered as a dense attention strategy since the interactions of tokens are restrained in dense regions.
