Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Dual Relation Modeling for Egocentric Interaction Recognition   Egocentric interaction recognition aims to recognize the camera wearer's
interactions with the interactor who faces the camera wearer in egocentric
videos. In such a human-human interaction analysis problem, it is crucial to
explore the relations between the camera wearer and the interactor. However,
most existing works directly model the interactions as a whole and lack
modeling the relations between the two interacting persons. To exploit the
strong relations for egocentric interaction recognition, we introduce a dual
relation modeling framework which learns to model the relations between the
camera wearer and the interactor based on the individual action representations
of the two persons. Specifically, we develop a novel interactive LSTM module,
the key component of our framework, to explicitly model the relations between
the two interacting persons based on their individual action representations,
which are collaboratively learned with an interactor attention module and a
global-local motion module. Experimental results on three egocentric
interaction datasets show the effectiveness of our method and advantage over
state-of-the-arts.

25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat