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Found 12 papers, 2 papers with code
Test Time Training for Industrial Anomaly Segmentation
Anomaly Detection and Segmentation (AD&S) is crucial for industrial quality control.
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
The paper explores the industrial multimodal Anomaly Detection (AD) task, which exploits point clouds and RGB images to localize anomalies.
Looking at words and points with attention: a benchmark for text-to-shape coherence
The refined dataset, the new metric and a set of text-shape pairs validated by the user study comprise a novel, fine-grained benchmark that we publicly release to foster research on text-to-shape coherence of text-conditioned 3D generative models.
Semantic Image Synthesis via Class-Adaptive Cross-Attention
Thus, they tend to overlook global image statistics, ultimately leading to unconvincing local style editing and causing global inconsistencies such as color or illumination distribution shifts.
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Deep generative models have shown impressive results in generating realistic images of faces.
Multimodal Side-Tuning for Document Classification
In this paper, we propose to exploit the side-tuning framework for multimodal document classification.
Ranked #4 on
Document Image Classification
on Tobacco-3482
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
Although one of the most popular practices in photography since the end of the 19th century, an increase in scholarly interest in family photo albums dates back to the early 1980s.
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
First, a dictionary of sparse atoms is learned using patches extracted from single person images.
Context-Aware Trajectory Prediction
To this end, we propose a "context-aware" recurrent neural network LSTM model, which can learn and predict human motion in crowded spaces such as a sidewalk, a museum or a shopping mall.
Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification
In this paper we introduce a method to overcome one of the main challenges of person re-identification in multi-camera networks, namely cross-view appearance changes.
A Multi-Camera Image Processing and Visualization System for Train Safety Assessment
In this paper we present a machine vision system to efficiently monitor, analyze and present visual data acquired with a railway overhead gantry equipped with multiple cameras.
Continuous Localization and Mapping of a Pan Tilt Zoom Camera for Wide Area Tracking
Pan-tilt-zoom (PTZ) cameras are powerful to support object identification and recognition in far-field scenes.
