activity
20122022
most citedPredicting Daily Activities From Egocentric Images Using Deep Learning

86 citations · 543 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 9 cited

Neural Design Network: Graphic Layout Generation with Constraints

Hsin-Ying Lee, Lu Jiang, Irfan Essa +4

Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs. Layout generation differs from pixel-level image synthesis and…

cs.CV2019

Novel evaluation of surgical activity recognition models using task-based efficiency metrics

Aneeq Zia, Liheng Guo, Linlin Zhou +2

Purpose: Surgical task-based metrics (rather than entire procedure metrics) can be used to improve surgeon training and, ultimately, patient care through focused training intervent…

cs.RO2019★ 12 cited

Estimating Mass Distribution of Articulated Objects using Non-prehensile Manipulation

K. Niranjan Kumar, Irfan Essa, Sehoon Ha +1

We explore the problem of estimating the mass distribution of an articulated object by an interactive robotic agent. Our method predicts the mass distribution of an object by using…

cs.CV2019

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction

Steven Hickson, Karthik Raveendran, Alireza Fathi +2

We propose 4 insights that help to significantly improve the performance of deep learning models that predict surface normals and semantic labels from a single RGB image. These ins…

cs.CV2019★ 14 cited

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6

To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task -- Embodied Question Answe…

cs.CV2019

Audio-Visual Scene-Aware Dialog

Huda Alamri, Vincent Cartillier, Abhishek Das +9

We introduce the task of scene-aware dialog. Our goal is to generate a complete and natural response to a question about a scene, given video and audio of the scene and the history…