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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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05/23/2023
Text-guided 3D Human Generation from 2D Collections
3D human modeling has been widely used for engaging interaction in gamin...
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04/15/2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training
Federated learning (FL) enables the training of a model leveraging decen...
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03/07/2023
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Indoor scene synthesis involves automatically picking and placing furnit...
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09/15/2022
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period
Deep learning algorithms for predicting neuroimaging data have shown con...
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10/14/2021
Coarse to Fine: Video Retrieval before Moment Localization
The current state-of-the-art methods for video corpus moment retrieval (...
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10/11/2021
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Recent deep face hallucination methods show stunning performance in supe...
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04/21/2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Instance level detection and segmentation of thoracic diseases or abnorm...
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10/19/2020
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
The detection of thoracic abnormalities challenge is organized by the De...
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06/17/2020
ChestX-det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities
Instance level detection of thoracic diseases or abnormalities are cruci...
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01/06/2020
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia
Objective: Multimodal measurements of the same phenomena provide complem...
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02/12/2019
