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09/08/2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Multi-scale resolution training has seen an increased adoption across mu...
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05/31/2023
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Modern deep learning approaches usually transform inputs into a modality...
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03/15/2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
We propose Dataset Reinforcement, a strategy to improve a dataset once s...
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03/04/2023
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks
Inferring the full transportation network, including sidewalks and cycle...
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03/04/2023
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale
The inspection of the Public Right of Way (PROW) for accessibility barri...
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12/20/2022
RangeAugment: Efficient Online Augmentation with Range Learning
State-of-the-art automatic augmentation methods (e.g., AutoAugment and R...
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07/21/2022
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
Recent isotropic networks, such as ConvMixer and vision transformers, ha...
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06/06/2022
Separable Self-attention for Mobile Vision Transformers
Mobile vision transformers (MobileViT) can achieve state-of-the-art perf...
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06/04/2022
CVNets: High Performance Library for Computer Vision
We introduce CVNets, a high-performance open-source library for training...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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10/05/2021
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Light-weight convolutional neural networks (CNNs) are the de-facto for m...
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01/21/2021
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection
Semantic segmentation aims to robustly predict coherent class labels for...
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12/11/2020
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) t...
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12/03/2020
EVRNet: Efficient Video Restoration on Edge Devices
Video transmission applications (e.g., conferencing) are gaining momentu...
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10/12/2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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08/03/2020
DeLighT: Very Deep and Light-weight Transformer
We introduce a very deep and light-weight transformer, DeLighT, that del...
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07/25/2020
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
Training end-to-end networks for classifying gigapixel size histopatholo...
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11/27/2019
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling
For sequence models with large word-level vocabularies, a majority of ne...
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06/08/2019
DiCENet: Dimension-wise Convolutions for Efficient Networks
In this paper, we propose a new CNN model DiCENet, that is built using: ...
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04/07/2019
A Facial Affect Analysis System for Autism Spectrum Disorder
In this paper, we introduce an end-to-end machine learning-based system ...
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11/28/2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
We introduce a light-weight, power efficient, and general purpose convol...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/27/2018
Pyramidal Recurrent Unit for Language Modeling
LSTMs are powerful tools for modeling contextual information, as evidenc...
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06/04/2018
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
In this paper, we introduce a conceptually simple network for generating...
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03/19/2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
We introduce a fast and efficient convolutional neural network, ESPNet, ...
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11/21/2017
Identifying Most Walkable Direction for Navigation in an Outdoor Environment
We present an approach for identifying the most walkable direction for n...
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10/10/2017
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
Impact of soiling on solar panels is an important and well-studied probl...
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09/08/2017
Learning to Segment Breast Biopsy Whole Slide Images
We trained and applied an encoder-decoder model to semantically segment ...
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03/11/2016