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06/05/2023
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
We present Video-LLaMA, a multi-modal framework that empowers Large Lang...
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06/05/2023
DAGrid: Directed Accumulator Grid
Recent research highlights that the Directed Accumulator (DA), through i...
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05/05/2023
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase
Purpose: To improve the generalization ability of convolutional neural n...
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03/29/2023
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Many natural language processing (NLP) tasks rely on labeled data to tra...
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03/20/2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators
This paper considers the sparse recovery with shuffled labels, i.e., = ...
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03/15/2023
DeDA: Deep Directed Accumulator
Chronic active multiple sclerosis lesions, also termed as rim+ lesions, ...
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01/19/2023
Spatially Covariant Lesion Segmentation
Compared to natural images, medical images usually show stronger visual ...
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12/18/2022
Curriculum Sampling for Dense Retrieval with Document Expansion
The dual-encoder has become the de facto architecture for dense retrieva...
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12/14/2022
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
Long-form numerical reasoning in financial analysis aims to generate a r...
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12/09/2022
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop
Bio-inspired learning has been gaining popularity recently given that Ba...
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11/01/2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) involves acquisition and recon...
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10/21/2022
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
Commonsense generation aims to generate a realistic sentence describing ...
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10/18/2022
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Most existing pre-trained language representation models (PLMs) are sub-...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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09/27/2022
PROD: Progressive Distillation for Dense Retrieval
Knowledge distillation is an effective way to transfer knowledge from a ...
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07/09/2022
Efficient Backward Reachability Using the Minkowski Difference of Constrained Zonotopes
Backward reachability analysis is essential to synthesizing controllers ...
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03/17/2022
Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models
It has been shown that the task of learning the structure of Bayesian ne...
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02/16/2022
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment
Few researches have studied simultaneous detection of smoke and flame ac...
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01/26/2022
CodeRetriever: Unimodal and Bimodal Contrastive Learning
In this paper, we propose the CodeRetriever model, which combines the un...
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11/19/2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Neural Architecture Search (NAS) has been widely adopted to design accur...
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11/11/2021
SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel
Fuzzing has become one of the most effective bug finding approach for so...
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10/07/2021
Adversarial Retriever-Ranker for dense text retrieval
Current dense text retrieval models face two typical challenges. First, ...
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05/10/2021
Poolingformer: Long Document Modeling with Pooling Attention
In this paper, we introduce a two-level attention schema, Poolingformer,...
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05/04/2021
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
An approach to reduce motion artifacts in Quantitative Susceptibility Ma...
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03/06/2021
NeRD: Neural Representation of Distribution for Medical Image Segmentation
We introduce Neural Representation of Distribution (NeRD) technique, a m...
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10/16/2020
Ensembling Low Precision Models for Binary Biomedical Image Segmentation
Segmentation of anatomical regions of interest such as vessels or small ...
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09/29/2020
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...
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09/22/2020
Differential Viewpoints for Ground Terrain Material Recognition
Computational surface modeling that underlies material recognition has t...
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09/13/2020
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation
Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) b...
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07/28/2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
The previously established LOUPE (Learning-based Optimization of the Und...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/28/2020
Let's be Humorous: Knowledge Enhanced Humor Generation
The generation of humor is an under-explored and challenging problem. Pr...
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04/26/2020
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks
Smart city has been consider the wave of the future and the route recomm...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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04/05/2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
In this paper, we propose FairNN a neural network that performs joint fe...
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03/13/2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
We introduce AutoGluon-Tabular, an open-source AutoML framework that req...
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02/27/2020
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation
Brain lesion volume measured on T2 weighted MRI images is a clinically i...
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09/05/2019
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
In "Unlabeled Sensing", one observes a set of linear measurements of an ...
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07/18/2019
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images
We worked with Nestle Skin Health SHIELD (Skin Health, Innovation, Educa...
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07/16/2019
2nd Place Solution to the GQA Challenge 2019
We present a simple method that achieves unexpectedly superior performan...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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04/26/2019
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
With an increasing demand for training powers for deep learning algorith...
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03/29/2019
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input
We propose a real-time DNN-based technique to segment hand and object of...
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03/04/2019
Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting
We study a difficult problem of how to schedule complex workflows with p...
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02/11/2019
Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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02/04/2019
Blaze: Simplified High Performance Cluster Computing
MapReduce and its variants have significantly simplified and accelerated...
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12/04/2018
Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
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03/29/2018
Deep Texture Manifold for Ground Terrain Recognition
We present a texture network called Deep Encoding Pooling Network (DEP) ...
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03/23/2018
Context Encoding for Semantic Segmentation
Recent work has made significant progress in improving spatial resolutio...
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06/14/2017