Abstract: Techniques are disclosed that enable processing a video capturing a periodic activity using a repetition network to generate periodic output (e.g., a period length of the periodic activity captured in the video and/or a frame wise periodicity indication of the video capturing the periodic activity). Various implementations include a class agnostic repetition network which can be used to generate periodic output for a wide variety of periodic activities. Additional or alternative implementations include generating synthetic repetition videos which can be utilized to train the repetition network.

Abstract: An encoder neural network is described which can encode a data item, such as a frame of a video, to form a respective encoded data item. Data items of a first data sequence are associated with respective data items of a second sequence, by determining which of the encoded data items of the second sequence is closest to the encoded data item produced from each data item of the first sequence. Thus, the two data sequences are aligned. The encoder neural network is trained automatically using a training set of data sequences, by an iterative process of successively increasing cycle consistency between pairs of the data sequences.

Abstract: Systems and methods for context-sensitive hand interaction with an immersive environment are provided. An example method includes determining a contextual factor for a user and selecting an interaction mode based on the contextual factor. The example method may also include monitoring a hand of the user to determine a hand property and determining an interaction with an immersive environment based on the interaction mode and the hand property.

Abstract: Systems and methods for context-sensitive hand interaction with an immersive environment are provided. An example method includes determining a contextual factor for a user and selecting an interaction mode based on the contextual factor. The example method may also include monitoring a hand of the user to determine a hand property and determining an interaction with an immersive environment based on the interaction mode and the hand property.

Abstract: Systems and methods for context-sensitive hand interaction with an immersive environment are provided. An example method includes determining a contextual factor for a user and selecting an interaction mode based on the contextual factor. The example method may also include monitoring a hand of the user to determine a hand property and determining an interaction with an immersive environment based on the interaction mode and the hand property.

Abstract: In one aspect, a method and system are described for receiving input for a virtual user in a virtual environment. The input may be based on a plurality of movements performed by a user accessing the virtual environment. Based on the plurality of movements, the method and system can include detecting that at least one portion of the virtual user is within a threshold distance of a collision zone, the collision zone being associated with at least one virtual object. The method and system can also include selecting a collision mode for the virtual user based on the at least one portion and the at least one virtual object and dynamically modifying the virtual user based on the selected collision mode.

Abstract: In one aspect, a method and system are described for receiving input for a virtual user in a virtual environment. The input may be based on a plurality of movements performed by a user accessing the virtual environment. Based on the plurality of movements, the method and system can include detecting that at least one portion of the virtual user is within a threshold distance of a collision zone, the collision zone being associated with at least one virtual object. The method and system can also include selecting a collision mode for the virtual user based on the at least one portion and the at least one virtual object and dynamically modifying the virtual user based on the selected collision mode.

Abstract: Systems and methods for context-sensitive hand interaction with an immersive environment are provided. An example method includes determining a contextual factor for a user and selecting an interaction mode based on the contextual factor. The example method may also include monitoring a hand of the user to determine a hand property and determining an interaction with an immersive environment based on the interaction mode and the hand property.

Abstract: In one aspect, a method and system are described for receiving input for a virtual user in a virtual environment. The input may be based on a plurality of movements performed by a user accessing the virtual environment. Based on the plurality of movements, the method and system can include detecting that at least one portion of the virtual user is within a threshold distance of a collision zone, the collision zone being associated with at least one virtual object. The method and system can also include selecting a collision mode for the virtual user based on the at least one portion and the at least one virtual object and dynamically modifying the virtual user based on the selected collision mode.