Abstract: A method of image processing includes: determining a first feature, wherein the first feature has a dimensionality D1; determining a second feature, wherein the second feature has a dimensionality D2 and is based on an output of a feature extraction network; generating a third feature by processing the first feature, the third feature having a dimensionality D3; generating a guidance by processing the second feature, the guidance having the dimensionality D3; generating a filter output by applying a deep guided filter (DGF) to the third feature using the guidance; generating a map based on the filter output; and outputting a processed image based on the map.

Abstract: A method of image processing includes: determining a first feature, wherein the first feature has a dimensionality D1; determining a second feature, wherein the second feature has a dimensionality D2 and is based on an output of a feature extraction network; generating a third feature by processing the first feature, the third feature having a dimensionality D3; generating a guidance by processing the second feature, the guidance having the dimensionality D3; generating a filter output by applying a deep guided filter (DGF) to the third feature using the guidance; generating a map based on the filter output; and outputting a processed image based on the map.

Abstract: Disclosed is a method including receiving, in a semantic segmentation network, input data from a plurality of frames, computing a ground truth label on the plurality of frames, generating a ground truth temporal semantic boundary map from the ground truth label on the plurality of frames, generating a predicted temporal semantic boundary map based on an output of the input data, and determining a loss based on the ground truth temporal semantic boundary map and the predicted temporal semantic boundary map.

Abstract: The present invention discloses an LED packaging structure and a process, including a support, a chip, positive and negative electrodes, a wire, a fluorescent glue, and a quartz plate with a flat surface, where the support is provided with a bowl cup, the chip is arranged in the bowl cup, the positive and negative electrodes are arranged at the bottom of the bowl cup, the wire correspondingly connects a positive electrode and a negative electrode of the chip to the positive and negative electrodes, the fluorescent glue is potted in the bowl cup to cover the chip and the wire, the quartz plate is connected to the top of the support to seal the bowl cup, and an air separation layer is formed between the quartz plate and a surface of the fluorescent glue.

Abstract: A method and device are provided in which a video stream is captured by a user equipment (UE). A semantic segmentation network in a processor of the UE generates a first feature map based on a first frame the video stream. The first feature map includes first information for generating a first segmentation and confidence map for the first frame. The processor generates a second feature map for a second frame of the video stream based on the first feature map. The second feature map includes second information for generating a second segmentation and confidence map for the second frame. The processor generates the second segmentation and confidence map based on the second information.

Abstract: Methods and systems for performing video prediction, including obtaining an input frame from among a plurality of frames included in an input video; extracting a first feature map by providing the input frame to a first plurality of feature extraction layers and a first strided convolutional layer included in an encoder; providing the first feature map and at least one neighboring first feature map corresponding to at least one neighboring frame to a first fusion module included in the encoder; fusing the first feature map with the at least one neighboring first feature map to generate a fused first feature map using the first fusion module; generating a prediction corresponding to the input frame based on the fused first feature map using a decoder; and performing a video prediction task using the prediction.

Abstract: Disclosed is a method including receiving, in a semantic segmentation network, input data from a plurality of frames, computing a ground truth label on the plurality of frames, generating a ground truth temporal semantic boundary map from the ground truth label on the plurality of frames, generating a predicted temporal semantic boundary map based on an output of the input data, and determining a loss based on the ground truth temporal semantic boundary map and the predicted temporal semantic boundary map.

Abstract: A method of image processing includes: determining a first feature, wherein the first feature has a dimensionality D1; determining a second feature, wherein the second feature has a dimensionality D2 and is based on an output of a feature extraction network; generating a third feature by processing the first feature, the third feature having a dimensionality D3; generating a guidance by processing the second feature, the guidance having the dimensionality D3; generating a filter output by applying a deep guided filter (DGF) to the third feature using the guidance; generating a map based on the filter output; and outputting a processed image based on the map.

Abstract: Disclosed herein is an isolated Muscodor albus strain producing volatile organic compounds such as aristolene, 3-octanone and/or acetic acid ester, as well as cultures of said strain and compositions, metabolites and volatiles derived from said strain or culture as well as methods of obtaining said compositions, metabolites and volatiles and their methods of use for controlling pests. Also disclosed are artificial compositions having the same components and uses as the volatiles derived from the strain. A method for capturing and sampling the volatiles is also disclosed.

Abstract: Provided is a method for modulating soybean cyst nematode infestation of a plant comprising applying to the plant an effective amount of a composition comprising a Chromobacterium, Burkholderia, and/or Flavobacterium strain to modulate the soybean cyst nematode infestation. The composition may be applied directly to the seed or in a substrate for growing the plant, such as in the soil.

Abstract: Compositions for modulating plant growth, seed germination and soil borne diseases comprising anthraquinone derivatives are disclosed.

Abstract: Disclosed herein is a Bacillus strain, Bacillus sp. isolate F727, that produces metabolites with pesticidal activities. Also provided are bioactive compositions and metabolites derived from cultures of Bacillus sp. isolate F727 capable of controlling pests; as well as methods of use of the strain and its metabolites for controlling pests.

Abstract: Provided is a method for modulating soybean cyst nematode infestation of a plant comprising applying to the plant an effective amount of a composition comprising a Chromobacterium, Burkholderia, and/or Flavobacterium strain to modulate the soybean cyst nematode infestation. The composition may be applied directly to the seed or in a substrate for growing the plant, such as in the soil.

Abstract: Provided is a method for modulating soybean cyst nematode infestation of a plant comprising applying to the plant an effective amount of a composition comprising a Chromobacterium, Burkholderia, and/or Flavobacterium strain to modulate the soybean cyst nematode infestation. The composition may be applied directly to the seed or in a substrate for growing the plant, such as in the soil.

Abstract: Disclosed herein is a Bacillus strain, Bacillus sp. isolate F727, that produces metabolites with pesticidal activities. Also provided are bioactive compositions and metabolites derived from cultures of Bacillus sp. isolate F727 capable of controlling pests; as well as methods of use of the strain and its metabolites for controlling pests.

Abstract: Disclosed herein is an isolated Muscodor albus strain producing volatile organic compounds such as aristolene, 3-octanone and/or acetic acid ester, as well as cultures of said strain and compositions, metabolites and volatiles derived from said strain or culture as well as methods of obtaining said compositions, metabolites and volatiles and their methods of use for controlling pests. Also disclosed are artificial compositions having the same components and uses as the volatiles derived from the strain. A method for capturing and sampling the volatiles is also disclosed.

Abstract: Disclosed herein is a Bacillus strain, Bacillus sp. isolate F727, that produces metabolites with pesticidal activities. Also provided are bioactive compositions and metabolites derived from cultures of Bacillus sp. isolate F727 capable of controlling pests; as well as methods of use of the strain and its metabolites for controlling pests.

Abstract: Provided is a method for modulating soybean cyst nematode infestation of a plant comprising applying to the plant an effective amount of a composition comprising a Chromobacterium, Burkholderia, and/or Flavobacterium strain to modulate the soybean cyst nematode infestation. The composition may be applied directly to the seed or in a substrate for growing the plant, such as in the soil.

Abstract: Provided is a method for modulating soybean cyst nematode infestation of a plant comprising applying to the plant an effective amount of a composition comprising a Chromobacterium, Burkholderia, and/or Flavobacterium strain to modulate the soybean cyst nematode infestation. The composition may be applied directly to the seed or in a substrate for growing the plant, such as in the soil.

Abstract: Combinations, compositions and methods of use for modulating plant pathogen infection using plant extracts containing anthraquinone derivatives which induce resistance to plant phytopathogens and an antimicrobial agent, a biological control agent and/or a surfactant having fungicidal activity.