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09/06/2023
The Quiet Eye Phenomenon in Minimally Invasive Surgery
In this paper, we report our discovery of a gaze behavior called Quiet E...
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10/15/2021
Learn Proportional Derivative Controllable Latent Space from Pixels
Recent advances in latent space dynamics model from pixels show promisin...
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05/20/2021
Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
Real-time visual localization of needles is necessary for various surgic...
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05/18/2021
Single View Geocentric Pose in the Wild
Current methods for Earth observation tasks such as semantic mapping, ma...
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04/06/2021
Out-of-Distribution Robustness with Deep Recursive Filters
Accurate state and uncertainty estimation is imperative for mobile robot...
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04/01/2021
Motion Guided Attention Fusion to Recognize Interactions from Videos
We present a dual-pathway approach for recognizing fine-grained interact...
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02/24/2021
"Train one, Classify one, Teach one" – Cross-surgery transfer learning for surgical step recognition
Prior work demonstrated the ability of machine learning to automatically...
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12/04/2020
Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery
We propose a new method for six-degree-of-freedom (6-DoF) autonomous cam...
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12/03/2020
SAFCAR: Structured Attention Fusion for Compositional Action Recognition
We present a general framework for compositional action recognition – i....
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12/02/2020
Fine-grained activity recognition for assembly videos
In this paper we address the task of recognizing assembly actions as a s...
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11/30/2020
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
We propose an unsupervised vision-based system to estimate the joint con...
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11/16/2020
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
A fundamental challenge in retinal surgery is safely navigating a surgic...
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09/11/2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
CXRs are a crucial and extraordinarily common diagnostic tool, leading t...
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08/27/2020
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision
In this work, we explore whether it is possible to learn representations...
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07/31/2020
Opportunities and Challenges for Next Generation Computing
Computing has dramatically changed nearly every aspect of our lives, fro...
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07/03/2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
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07/01/2020
Learning Geocentric Object Pose in Oblique Monocular Images
An object's geocentric pose, defined as the height above ground and orie...
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06/05/2020
Artificial Intelligence-based Clinical Decision Support for COVID-19 – Where Art Thou?
The COVID-19 crisis has brought about new clinical questions, new workfl...
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04/07/2020
Semantic Image Manipulation Using Scene Graphs
Image manipulation can be considered a special case of image generation ...
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03/02/2020
Extremely Dense Point Correspondences using a Learned Feature Descriptor
High-quality 3D reconstructions from endoscopy video play an important r...
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12/09/2019
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Scene context is a powerful constraint on the geometry of objects within...
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12/08/2019
Zero-shot Recognition of Complex Action Sequences
Zero-shot video classification for fine-grained activity recognition has...
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12/03/2019
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
Despite the rapid growth in datasets for video activity, stable robust a...
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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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09/25/2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping
In order to learn effectively, robots must be able to extract the intang...
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09/06/2019
Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video
We present a self-supervised learning-based pipeline for dense 3D recons...
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07/20/2019
Automated Surgical Activity Recognition with One Labeled Sequence
Prior work has demonstrated the feasibility of automated activity recogn...
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03/23/2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Neural Architecture Search (NAS) has been a source of dramatic improveme...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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11/21/2018
Semantic Stereo for Incidental Satellite Images
The increasingly common use of incidental satellite images for stereo re...
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11/06/2018
Evaluating Methods for End-User Creation of Robot Task Plans
How can we enable users to create effective, perception-driven task plan...
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10/27/2018
Training Frankenstein's Creature to Stack: HyperTree Architecture Search
We propose HyperTrees for the low cost automatic design of multiple-inpu...
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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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06/08/2018
Unsupervised Learning for Surgical Motion by Learning to Predict the Future
We show that it is possible to learn meaningful representations of surgi...
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06/08/2018
Surgical Data Science: A Consensus Perspective
Surgical data science is a scientific discipline with the objective of i...
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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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03/30/2018
Visual Robot Task Planning
Prospection, the act of predicting the consequences of many possible fut...
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03/30/2018
Guide Me: Interacting with Deep Networks
Interaction and collaboration between humans and intelligent machines ha...
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03/21/2018
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
One core challenge in object pose estimation is to ensure accurate and r...
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03/06/2018
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
Fast, collision-free motion through unknown environments remains a chall...
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01/08/2018
Deep Supervision with Intermediate Concepts
Recent data-driven approaches to scene interpretation predominantly pose...
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11/08/2017
Learning to Imagine Manipulation Goals for Robot Task Planning
Prospection is an important part of how humans come up with new task pla...
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10/24/2017
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Mass segmentation provides effective morphological features which are im...
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10/11/2017
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation
Accurate knowledge of object poses is crucial to successful robotic mani...
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07/13/2017
Advances in Artificial Intelligence Require Progress Across all of Computer Science
Advances in Artificial Intelligence require progress across all of compu...
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02/24/2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
Recurrent neural networks (RNNs) have achieved state-of-the-art performa...
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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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12/08/2016
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Monocular 3D object parsing is highly desirable in various scenarios inc...
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12/01/2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Many prediction tasks contain uncertainty. In some cases, uncertainty is...
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11/16/2016