activity
20192024
most citedDD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

36 citations · 230 across the 39 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.CV2021★ 4 cited

BLT: Bidirectional Layout Transformer for Controllable Layout Generation

Xiang Kong, Lu Jiang, Huiwen Chang +4

Creating visual layouts is a critical step in graphic design. Automatic generation of such layouts is essential for scalable and diverse visual designs. To advance conditional layo…

cs.CV2021

VideoPose: Estimating 6D object pose from videos

Apoorva Beedu, Zhile Ren, Varun Agrawal +1

We introduce a simple yet effective algorithm that uses convolutional neural networks to directly estimate object poses from videos. Our approach leverages the temporal information…

cs.CV2021★ 10 cited

Discrete Representations Strengthen Vision Transformer Robustness

Chengzhi Mao, Lu Jiang, Mostafa Dehghani +3

Vision Transformer (ViT) is emerging as the state-of-the-art architecture for image recognition. While recent studies suggest that ViTs are more robust than their convolutional cou…

cs.RO2021

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

K. Niranjan Kumar, Irfan Essa, Sehoon Ha

We introduce a novel method to teach a robotic agent to interactively explore cluttered yet structured scenes, such as kitchen pantries and grocery shelves, by leveraging the physi…

cs.CV2021★ 3 cited

Unsupervised Discovery of Actions in Instructional Videos

AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo +1

In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos. Instructional videos contain complex activities a…

cs.CV2021★ 4 cited

Unsupervised Action Segmentation for Instructional Videos

AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo +1

In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos, which are rarely annotated with atomic actions. W…

cs.CV2021

Automatic Non-Linear Video Editing Transfer

Nathan Frey, Peggy Chi, Weilong Yang +1

We propose an automatic approach that extracts editing styles in a source video and applies the edits to matched footage for video creation. Our Computer Vision based techniques co…

cs.LG2021

PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction

Dan Scarafoni, Irfan Essa, Thomas Ploetz

Action prediction focuses on anticipating actions before they happen. Recent works leverage probabilistic approaches to describe future uncertainties and sample future actions. How…