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07/25/2023
Duet: efficient and scalable hybriD neUral rElation undersTanding
Learned cardinality estimation methods have achieved high precision comp...
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05/24/2023
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Large language models (LLMs) have been shown to perform well at a variet...
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10/05/2022
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Visual-Semantic Embedding (VSE) aims to learn an embedding space where r...
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05/11/2022
Pre-trained Language Models as Re-Annotators
Annotation noise is widespread in datasets, but manually revising a flaw...
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04/29/2022
SideRT: A Real-time Pure Transformer Architecture for Single Image Depth Estimation
Since context modeling is critical for estimating depth from a single im...
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03/08/2022
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Real-time semantic segmentation, which aims to achieve high segmentation...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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09/26/2020
The smoothed complexity of Frank-Wolfe methods via conditioning of random matrices and polytopes
Frank-Wolfe methods are popular for optimization over a polytope. One of...
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07/21/2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Photometric loss is widely used for self-supervised depth and egomotion ...
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05/11/2020
Non-iterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue
In this paper, we propose a novel non-iterative algorithm to simultaneou...
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04/02/2020
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context
We study the influence of context on sentence acceptability. First we co...
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03/05/2018
Abnormality Detection in Mammography using Deep Convolutional Neural Networks
Breast cancer is the most common cancer in women worldwide. The most com...
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01/29/2018
Hierarchical Spatial Transformer Network
Computer vision researchers have been expecting that neural networks hav...
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12/17/2013
Estimation of Human Body Shape and Posture Under Clothing
Estimating the body shape and posture of a dressed human subject in moti...
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06/19/2013
Finite Element Based Tracking of Deforming Surfaces
We present an approach to robustly track the geometry of an object that ...
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02/07/2012
Fully Automatic Expression-Invariant Face Correspondence
We consider the problem of computing accurate point-to-point corresponde...
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09/06/2011
Estimating 3D Human Shapes from Measurements
The recent advances in 3-D imaging technologies give rise to databases o...
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05/01/2008