research
∙
07/01/2020
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
The availability of a large labeled dataset is a key requirement for app...
share
research
∙
12/18/2019
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
In practice, conditional variational autoencoders (CVAEs) perform condit...
research
∙
08/20/2019
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
This paper studies the problem of temporal moment localization in a long...
research
∙
08/02/2019
Learning Variations in Human Motion via Mix-and-Match Perturbation
Human motion prediction is a stochastic process: Given an observed seque...
research
∙
10/22/2018
VIENA2: A Driving Anticipation Dataset
Action anticipation is critical in scenarios where one needs to react be...
research
∙
07/16/2018
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
Training a deep network to perform semantic segmentation requires large ...
research
∙
08/15/2017
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation
Pixel-level annotations are expensive and time-consuming to obtain. Henc...
research
∙
06/06/2017
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation
Pixel-level annotations are expensive and time consuming to obtain. Henc...
research
∙
03/21/2017