Gregory D. Hager

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Professor of Computer Science at Johns Hopkins University, Founding Director, Malone Center for Engineering in Healthcare

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...
05/20/2021 ∙ by Will Pryor, et al. ∙ 0 ∙ share

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Single View Geocentric Pose in the Wild

Current methods for Earth observation tasks such as semantic mapping, ma...
05/18/2021 ∙ by Gordon Christie, et al. ∙ 0 ∙ share

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Out-of-Distribution Robustness with Deep Recursive Filters

Accurate state and uncertainty estimation is imperative for mobile robot...
04/06/2021 ∙ by Kapil D. Katyal, et al. ∙ 0 ∙ share

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Motion Guided Attention Fusion to Recognize Interactions from Videos

We present a dual-pathway approach for recognizing fine-grained interact...
04/01/2021 ∙ by Tae Soo Kim, et al. ∙ 0 ∙ share

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"Train one, Classify one, Teach one" – Cross-surgery transfer learning for surgical step recognition

Prior work demonstrated the ability of machine learning to automatically...
02/24/2021 ∙ by Daniel Neimark, et al. ∙ 0 ∙ share

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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...
12/04/2020 ∙ by Alaa Eldin Abdelaal, et al. ∙ 0 ∙ share

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SAFCAR: Structured Attention Fusion for Compositional Action Recognition

We present a general framework for compositional action recognition – i....
12/03/2020 ∙ by Tae Soo Kim, et al. ∙ 0 ∙ share

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Fine-grained activity recognition for assembly videos

In this paper we address the task of recognizing assembly actions as a s...
12/02/2020 ∙ by Jonathan D. Jones, et al. ∙ 0 ∙ share

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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...
11/30/2020 ∙ by Qihao Liu, et al. ∙ 0 ∙ share

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Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

A fundamental challenge in retinal surgery is safely navigating a surgic...
11/16/2020 ∙ by Ji Woong Kim, et al. ∙ 6 ∙ share

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Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies

CXRs are a crucial and extraordinarily common diagnostic tool, leading t...
09/11/2020 ∙ by Haomin Chen, et al. ∙ 0 ∙ share

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Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision

In this work, we explore whether it is possible to learn representations...
08/27/2020 ∙ by David Z. Li, et al. ∙ 0 ∙ share

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Opportunities and Challenges for Next Generation Computing

Computing has dramatically changed nearly every aspect of our lives, fro...
07/31/2020 ∙ by Gregory D. Hager, et al. ∙ 0 ∙ share

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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...
07/03/2020 ∙ by Haomin Chen, et al. ∙ 0 ∙ share

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Learning Geocentric Object Pose in Oblique Monocular Images

An object's geocentric pose, defined as the height above ground and orie...
07/01/2020 ∙ by Gordon Christie, et al. ∙ 0 ∙ share

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Artificial Intelligence-based Clinical Decision Support for COVID-19 – Where Art Thou?

The COVID-19 crisis has brought about new clinical questions, new workfl...
06/05/2020 ∙ by Mathias Unberath, et al. ∙ 16 ∙ share

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Semantic Image Manipulation Using Scene Graphs

Image manipulation can be considered a special case of image generation ...
04/07/2020 ∙ by Helisa Dhamo, et al. ∙ 0 ∙ share

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Extremely Dense Point Correspondences using a Learned Feature Descriptor

High-quality 3D reconstructions from endoscopy video play an important r...
03/02/2020 ∙ by Xingtong Liu, et al. ∙ 18 ∙ share

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Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints

Scene context is a powerful constraint on the geometry of objects within...
12/09/2019 ∙ by Pengfei Li, et al. ∙ 23 ∙ share

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Zero-shot Recognition of Complex Action Sequences

Zero-shot video classification for fine-grained activity recognition has...
12/08/2019 ∙ by Jonathan D. Jones, et al. ∙ 0 ∙ share

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RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition

Despite the rapid growth in datasets for video activity, stable robust a...
12/03/2019 ∙ by Yi Zhang, et al. ∙ 8 ∙ share

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Action Recognition Using Volumetric Motion Representations

Traditional action recognition models are constructed around the paradig...
11/19/2019 ∙ by Michael Peven, et al. ∙ 0 ∙ share

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"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...
09/25/2019 ∙ by Andrew Hundt, et al. ∙ 34 ∙ share

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Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video

We present a self-supervised learning-based pipeline for dense 3D recons...
09/06/2019 ∙ by Xingtong Liu, et al. ∙ 0 ∙ share

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Automated Surgical Activity Recognition with One Labeled Sequence

Prior work has demonstrated the feasibility of automated activity recogn...
07/20/2019 ∙ by Robert DiPietro, et al. ∙ 0 ∙ share

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sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Neural Architecture Search (NAS) has been a source of dramatic improveme...
03/23/2019 ∙ by Andrew Hundt, et al. ∙ 0 ∙ share

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Artificial Intelligence for Social Good

The Computing Community Consortium (CCC), along with the White House Off...
01/16/2019 ∙ by Gregory D. Hager, et al. ∙ 0 ∙ share

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Semantic Stereo for Incidental Satellite Images

The increasingly common use of incidental satellite images for stereo re...
11/21/2018 ∙ by Marc Bosch, et al. ∙ 10 ∙ share

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Evaluating Methods for End-User Creation of Robot Task Plans

How can we enable users to create effective, perception-driven task plan...
11/06/2018 ∙ by Chris Paxton, et al. ∙ 0 ∙ share

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Training Frankenstein's Creature to Stack: HyperTree Architecture Search

We propose HyperTrees for the low cost automatic design of multiple-inpu...
10/27/2018 ∙ by Andrew Hundt, et al. ∙ 0 ∙ share

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Towards automatic initialization of registration algorithms using simulated endoscopy images

Registering images from different modalities is an active area of resear...
06/28/2018 ∙ by Ayushi Sinha, et al. ∙ 0 ∙ share

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Unsupervised Learning for Surgical Motion by Learning to Predict the Future

We show that it is possible to learn meaningful representations of surgi...
06/08/2018 ∙ by Robert DiPietro, et al. ∙ 0 ∙ share

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Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...
06/08/2018 ∙ by Lena Maier-Hein, et al. ∙ 0 ∙ share

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Endoscopic navigation in the absence of CT imaging

Clinical examinations that involve endoscopic exploration of the nasal c...
06/08/2018 ∙ by Ayushi Sinha, et al. ∙ 0 ∙ share

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Visual Robot Task Planning

Prospection, the act of predicting the consequences of many possible fut...
03/30/2018 ∙ by Chris Paxton, et al. ∙ 0 ∙ share

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Guide Me: Interacting with Deep Networks

Interaction and collaboration between humans and intelligent machines ha...
03/30/2018 ∙ by Christian Rupprecht, et al. ∙ 2 ∙ share

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A Unified Framework for Multi-View Multi-Class Object Pose Estimation

One core challenge in object pose estimation is to ensure accurate and r...
03/21/2018 ∙ by Chi Li, et al. ∙ 0 ∙ share

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Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation

Fast, collision-free motion through unknown environments remains a chall...
03/06/2018 ∙ by Kapil Katyal, et al. ∙ 0 ∙ share

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Deep Supervision with Intermediate Concepts

Recent data-driven approaches to scene interpretation predominantly pose...
01/08/2018 ∙ by Chi Li, et al. ∙ 0 ∙ share

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Learning to Imagine Manipulation Goals for Robot Task Planning

Prospection is an important part of how humans come up with new task pla...
11/08/2017 ∙ by Chris Paxton, et al. ∙ 0 ∙ share

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Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Mass segmentation provides effective morphological features which are im...
10/24/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

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Temporal and Physical Reasoning for Perception-Based Robotic Manipulation

Accurate knowledge of object poses is crucial to successful robotic mani...
10/11/2017 ∙ by Felix Jonathan, et al. ∙ 0 ∙ share

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Advances in Artificial Intelligence Require Progress Across all of Computer Science

Advances in Artificial Intelligence require progress across all of compu...
07/13/2017 ∙ by Gregory D. Hager, et al. ∙ 0 ∙ share

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Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies

Recurrent neural networks (RNNs) have achieved state-of-the-art performa...
02/24/2017 ∙ by Robert DiPietro, et al. ∙ 0 ∙ share

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Regularizing Face Verification Nets For Pain Intensity Regression

Limited labeled data are available for the research of estimating facial...
02/22/2017 ∙ by Feng Wang, et al. ∙ 0 ∙ share

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Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing

Monocular 3D object parsing is highly desirable in various scenarios inc...
12/08/2016 ∙ by Chi Li, et al. ∙ 0 ∙ share

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Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Many prediction tasks contain uncertainty. In some cases, uncertainty is...
12/01/2016 ∙ by Christian Rupprecht, et al. ∙ 0 ∙ share

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Temporal Convolutional Networks for Action Segmentation and Detection

The ability to identify and temporally segment fine-grained human action...
11/16/2016 ∙ by Colin Lea, et al. ∙ 0 ∙ share

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Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm

Functional endoscopic sinus surgery (FESS) is a surgical procedure used ...
10/25/2016 ∙ by Seth D. Billings, et al. ∙ 0 ∙ share

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Temporal Convolutional Networks: A Unified Approach to Action Segmentation

The dominant paradigm for video-based action segmentation is composed of...
08/29/2016 ∙ by Colin Lea, et al. ∙ 0 ∙ share

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Gregory D. Hager

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