Gregory D. Hager

research

∙ 10/15/2021

Learn Proportional Derivative Controllable Latent Space from Pixels

Recent advances in latent space dynamics model from pixels show promisin...

Weiyao Wang, et al. ∙

research

∙ 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...

Will Pryor, et al. ∙

research

∙ 05/18/2021

Single View Geocentric Pose in the Wild

Current methods for Earth observation tasks such as semantic mapping, ma...

Gordon Christie, et al. ∙

research

∙ 04/06/2021

Out-of-Distribution Robustness with Deep Recursive Filters

Accurate state and uncertainty estimation is imperative for mobile robot...

Kapil D. Katyal, et al. ∙

research

∙ 04/01/2021

Motion Guided Attention Fusion to Recognize Interactions from Videos

We present a dual-pathway approach for recognizing fine-grained interact...

Tae Soo Kim, et al. ∙

research

∙ 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...

Daniel Neimark, et al. ∙

research

∙ 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...

Alaa Eldin Abdelaal, et al. ∙

research

∙ 12/03/2020

SAFCAR: Structured Attention Fusion for Compositional Action Recognition

We present a general framework for compositional action recognition – i....

Tae Soo Kim, et al. ∙

research

∙ 12/02/2020

Fine-grained activity recognition for assembly videos

In this paper we address the task of recognizing assembly actions as a s...

Jonathan D. Jones, et al. ∙

research

∙ 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...

Qihao Liu, et al. ∙

research

∙ 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...

Ji Woong Kim, et al. ∙

research

∙ 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...

Haomin Chen, et al. ∙

research

∙ 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...

David Z. Li, et al. ∙

research

∙ 07/31/2020

Opportunities and Challenges for Next Generation Computing

Computing has dramatically changed nearly every aspect of our lives, fro...

Gregory D. Hager, et al. ∙

research

∙ 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...

Haomin Chen, et al. ∙

research

∙ 07/01/2020

Learning Geocentric Object Pose in Oblique Monocular Images

An object's geocentric pose, defined as the height above ground and orie...

Gordon Christie, et al. ∙

research

∙ 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...

Mathias Unberath, et al. ∙

research

∙ 04/07/2020

Semantic Image Manipulation Using Scene Graphs

Image manipulation can be considered a special case of image generation ...

Helisa Dhamo, et al. ∙

research

∙ 03/02/2020

Extremely Dense Point Correspondences using a Learned Feature Descriptor

High-quality 3D reconstructions from endoscopy video play an important r...

Xingtong Liu, et al. ∙

research

∙ 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...

Pengfei Li, et al. ∙

research

∙ 12/08/2019

Zero-shot Recognition of Complex Action Sequences

Zero-shot video classification for fine-grained activity recognition has...

Jonathan D. Jones, et al. ∙

research

∙ 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...

Yi Zhang, et al. ∙

research

∙ 11/19/2019

Action Recognition Using Volumetric Motion Representations

Traditional action recognition models are constructed around the paradig...

Michael Peven, et al. ∙

research

∙ 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...

Andrew Hundt, et al. ∙

research

∙ 09/06/2019

Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video

We present a self-supervised learning-based pipeline for dense 3D recons...

Xingtong Liu, et al. ∙

research

∙ 07/20/2019

Automated Surgical Activity Recognition with One Labeled Sequence

Prior work has demonstrated the feasibility of automated activity recogn...

Robert DiPietro, et al. ∙

research

∙ 03/23/2019

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Neural Architecture Search (NAS) has been a source of dramatic improveme...

Andrew Hundt, et al. ∙

research

∙ 01/16/2019

Artificial Intelligence for Social Good

The Computing Community Consortium (CCC), along with the White House Off...

Gregory D. Hager, et al. ∙

research

∙ 11/21/2018

Semantic Stereo for Incidental Satellite Images

The increasingly common use of incidental satellite images for stereo re...

Marc Bosch, et al. ∙

research

∙ 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...

Chris Paxton, et al. ∙

research

∙ 10/27/2018

Training Frankenstein's Creature to Stack: HyperTree Architecture Search

We propose HyperTrees for the low cost automatic design of multiple-inpu...

Andrew Hundt, et al. ∙

research

∙ 06/28/2018

Towards automatic initialization of registration algorithms using simulated endoscopy images

Registering images from different modalities is an active area of resear...

Ayushi Sinha, et al. ∙

research

∙ 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...

Robert DiPietro, et al. ∙

research

∙ 06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

Lena Maier-Hein, et al. ∙

research

∙ 06/08/2018

Endoscopic navigation in the absence of CT imaging

Clinical examinations that involve endoscopic exploration of the nasal c...

Ayushi Sinha, et al. ∙

research

∙ 03/30/2018

Visual Robot Task Planning

Prospection, the act of predicting the consequences of many possible fut...

Chris Paxton, et al. ∙

research

∙ 03/30/2018

Guide Me: Interacting with Deep Networks

Interaction and collaboration between humans and intelligent machines ha...

Christian Rupprecht, et al. ∙

research

∙ 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...

Chi Li, et al. ∙

research

∙ 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...

Kapil Katyal, et al. ∙

research

∙ 01/08/2018

Deep Supervision with Intermediate Concepts

Recent data-driven approaches to scene interpretation predominantly pose...

Chi Li, et al. ∙

research

∙ 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...

Chris Paxton, et al. ∙

research

∙ 10/24/2017

Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Mass segmentation provides effective morphological features which are im...

Wentao Zhu, et al. ∙

research

∙ 10/11/2017

Temporal and Physical Reasoning for Perception-Based Robotic Manipulation

Accurate knowledge of object poses is crucial to successful robotic mani...

Felix Jonathan, et al. ∙

research

∙ 07/13/2017

Advances in Artificial Intelligence Require Progress Across all of Computer Science

Advances in Artificial Intelligence require progress across all of compu...

Gregory D. Hager, et al. ∙

research

∙ 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...

Robert DiPietro, et al. ∙

research

∙ 02/22/2017

Regularizing Face Verification Nets For Pain Intensity Regression

Limited labeled data are available for the research of estimating facial...

Feng Wang, et al. ∙

research

∙ 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...

Chi Li, et al. ∙

research

∙ 12/01/2016

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Many prediction tasks contain uncertainty. In some cases, uncertainty is...

Christian Rupprecht, et al. ∙

research

∙ 11/16/2016

Temporal Convolutional Networks for Action Segmentation and Detection

The ability to identify and temporally segment fine-grained human action...

Colin Lea, et al. ∙

research

∙ 10/25/2016

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

Functional endoscopic sinus surgery (FESS) is a surgical procedure used ...

Seth D. Billings, et al. ∙

Gregory D. Hager

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