Search Results for author:
Found 21 papers, 3 papers with code
MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
Performance evaluations on two distinct domains establish that MVSA-Net recognizes the state-action pairs under occlusion more accurately compared to single-view MVSA-Net and other baselines.
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas.
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
Then, we build a pure-MLP architecture called Caterpillar by replacing the convolutional layer with the SPC module in a hybrid model of sMLPNet.
SAM for Poultry Science
This study aims to assess the zero-shot segmentation performance of SAM on representative chicken segmentation tasks, including part-based segmentation and the use of infrared thermal images, and to explore chicken-tracking tasks by using SAM as a segmentation tool.
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
In this work, we explore the promises and challenges of developing multimodal foundation models for GeoAI.
AGI for Agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education.
What's in a Decade? Transforming Faces Through Time
How can one visually characterize people in a decade?
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
The abundance and richness of Internet photos of landmarks and cities has led to significant progress in 3D vision over the past two decades, including automated 3D reconstructions of the world's landmarks from tourist photos.
Structure Of Flavor Changing Goldstone Boson Interactions
Or it may be the Majoron in models from lepton number violation in producing seesaw Majorana neutrino masses if the symmetry breaking scale is much higher than the electroweak scale.
High Energy Physics - Phenomenology
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
Predicting where people can walk in a scene is important for many tasks, including autonomous driving systems and human behavior analysis.
Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Reconstructing 3D geometry from satellite imagery is an important topic of research.
Fair Pricing of Variable Annuities with Guarantees under the Benchmark Approach
We consider two pricing approaches, the classical risk-neutral approach and the benchmark approach, and we examine the associated static and optimal behaviors of both the investor and insurer.
Siamese Networks for Semantic Pattern Similarity
Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract semantic pattern (e. g., preposition or frame).
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
We propose to train a deep Convolutional Neural Network (CNN) to regress lighting parameters from a single face image.
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
This paper introduces Mainiway AI Labs submitted system for the IJCNLP 2017 shared task on Dimensional Sentiment Analysis of Chinese Phrases (DSAP), and related experiments.
The Sentimental Value of Chinese Sub-Character Components
Sub-character components of Chinese characters carry important semantic information, and recent studies have shown that utilizing this information can improve performance on core semantic tasks.
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
We propose to train a deep Convolutional Neural Network (CNN) to regress lighting parameters from a single face image.
Semi-supervised Conditional GANs
We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework.
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
Combined with object detection results, we can perform a novel vision task: finding where objects are missing in an image.
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval
Since interactions between objects can be reduced to a limited set of atomic spatial relations in 3D, we study the possibility of inferring 3D structure from a text description rather than an image, applying physical relation models to synthesize holistic 3D abstract object layouts satisfying the spatial constraints present in a textual description.
