Search Results for author:
Found 11 papers, 4 papers with code
WatClaimCheck: A new Dataset for Claim Entailment and Inference
We contribute a new dataset for the task of automated fact checking and an evaluation of state of the art algorithms.
FP8-LM: Training FP8 Large Language Models
In this paper, we explore FP8 low-bit data formats for efficient training of large language models (LLMs).
Robust Embeddings Via Distributions
Despite recent monumental advances in the field, many Natural Language Processing (NLP) models still struggle to perform adequately on noisy domains.
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
In this paper, we study adversarial attacks on KF as part of the more complex machine-human hybrid system of Forward Collision Warning.
Data Privacy in Trigger-Action Systems
Trigger-action platforms (TAPs) allow users to connect independent web-based or IoT services to achieve useful automation.
Cryptography and Security
Face Beautification: Beyond Makeup Transfer
Inspired by the latest advances in style-based synthesis and face beauty prediction, we propose a novel framework of face beautification.
Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image
We present an approach to generate high fidelity 3D face avatar with a high-resolution UV texture map from a single image.
Understanding Beauty via Deep Facial Features
The concept of beauty has been debated by philosophers and psychologists for centuries, but most definitions are subjective and metaphysical, and deficit in accuracy, generality, and scalability.
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention
It has been applied to numerous domains, such as data augmentation, domain adaptation, and unsupervised training.
Capturing Dynamic Textured Surfaces of Moving Targets
We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld sensors.
3D Modeling from Wide Baseline Range Scans using Contour Coherence
We propose here a novel approach which leverages contour coherence and allows us to align two wide baseline range scans with limited overlap from a poor initialization.
