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09/28/2021
When in Doubt: Improving Classification Performance with Alternating Normalization
We introduce Classification with Alternating Normalization (CAN), a non-...
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04/16/2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Recent advances in using retrieval components over external knowledge so...
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04/15/2021
Exploring Visual Engagement Signals for Representation Learning
Visual engagement in social media platforms comprises interactions with ...
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11/11/2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
An image is worth a thousand words, conveying information that goes beyo...
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03/03/2020
Deep Multi-Modal Sets
Many vision-related tasks benefit from reasoning over multiple modalitie...
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11/19/2019
Action Recognition Using Volumetric Motion Representations
Traditional action recognition models are constructed around the paradig...
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07/31/2018
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Robotic surgery has been proven to offer clear advantages during surgica...
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06/28/2018
Towards automatic initialization of registration algorithms using simulated endoscopy images
Registering images from different modalities is an active area of resear...
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06/25/2018
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
We present a self-supervised approach to training convolutional neural n...
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06/08/2018
Endoscopic navigation in the absence of CT imaging
Clinical examinations that involve endoscopic exploration of the nasal c...
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11/22/2017
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition
Despite the growing discriminative capabilities of modern deep learning ...
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02/22/2017
Regularizing Face Verification Nets For Pain Intensity Regression
Limited labeled data are available for the research of estimating facial...
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11/16/2016
Temporal Convolutional Networks for Action Segmentation and Detection
The ability to identify and temporally segment fine-grained human action...
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10/25/2016
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm
Functional endoscopic sinus surgery (FESS) is a surgical procedure used ...
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08/29/2016
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
The dominant paradigm for video-based action segmentation is composed of...
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02/09/2016