Home /
Research
Showing 139 - 144 / 897
Counting People by Estimating People Flows
WeizheLiu, MathieuSalzmann, PascalFua....
Published date-12/01/2020
ActiveLearning, CrowdCounting, OpticalFlowEstimation
Modern methods for counting people in crowded scenes rely on deep networks to estimate people densities in individual images. As such, only very few take advantage of temporal consistency in …
Fully Convolutional Networks for Panoptic Segmentation
YanweiLi, HengshuangZhao, XiaojuanQi....
Published date-12/01/2020
PanopticSegmentation
In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground things and background stuff …
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
MichaelDennis, NatashaJaques, EugeneVinitsky....
Published date-12/01/2020
TransferLearning
A wide range of reinforcement learning (RL) problems --- including robustness, transfer learning, unsupervised RL, and emergent complexity --- require specifying a distribution of tasks or environments in which a …
Fair Multiple Decision Making Through Soft Interventions
YaoweiHu, YongkaiWu, LuZhang....
Published date-12/01/2020
DecisionMaking, fairness
Previous research in fair classification mostly focuses on a single decision model. In reality, there usually exist multiple decision models within a system and all of which may contain a …
Model Class Reliance for Random Forests
GavinSmith, RobertoMansilla, JamesGoulding....
Published date-12/01/2020
Variable Importance (VI) has traditionally been cast as the process of estimating each variables contribution to a predictive model's overall performance. Analysis of a single model instance, however, guarantees no …
Learning Disentangled Representations and Group Structure of Dynamical Environments
RobinQuessard, ThomasBarrett, WilliamClements....
Published date-12/01/2020
Learning disentangled representations is a key step towards effectively discovering and modelling the underlying structure of environments. In the natural sciences, physics has found great success by describing the universe …