Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene-Aware Separation" (AVSA-Sep) framework. It includes a semantic parser for visible and invisible sounds and a separator for scene-informed separation. AVSA-Sep successfully separates both sound types, with joint training and cross-modal alignment enhancing effectiveness.Comment: Accepted at ICCV 2023 - AV4D, 4 figures, 3 table

Enhanced Acetone-Sensing Properties of PEI Thin Film by GO-NH2 Functional Groups Modification at Room Temperature

The functional groups of organic gas-sensing materials play a crucial role in adsorbing specific gas molecules, which is significant to the sensing performances of gas sensor. In this work, amido-graphene oxide (GO-NH2) loaded poly(ethyleneimine) (PEI) composite thin film (PEI/GO-NH2) with abundant amino functional groups -NH2 was successfully prepared on quartz crystal microbalance (QCM) by a combined spraying and drop coating method for acetone detection at room temperature (25°C). The morphological, spectrographic and acetone-sensing properties of composite film were investigated. The results demonstrated that a wrinkled surface morphology was formed and the ratio of nucleophilic -NH2 was increased for PEI/GO-NH2 composite film. Meanwhile, the composite film sensor possessed excellent acetone-sensing performances, and its sensitivity was about 4.2 times higher than that of pure PEI one owing to the increased -NH2 groups. This study reveals the important role of absorbing favorable functional groups and provides a novel method for the rational design and construction of acetone-sensing materials

Bandgap engineering of polymetric carbon nitride copolymerized by 2,5,8-triamino-tri-s-triazine (melem) and barbituric acid for efficient nonsacrificial photocatalytic H2O2 production

Photocatalytic production of H2O2 from water and oxygen utilizing polymetric carbon nitride (PCN) is a promising alternative to the energy-consuming anthraquinone method. However, insufficient oxidation potential and limited light-absorption have restricted its further improvement. Herein, PCN with sufficient oxidation potential and improved visible-light usage (up to 550 nm) was prepared by co-polymerization of 2,5,8-triamino-tri-s-triazine (melem) and barbituric acid (BA). With the loading of Na2CoP2O7 as a water-oxidation co-catalyst, this novel PCN system showed a record-high apparent quantum efficiency (420 nm) of 8.0 % and a solar-to-chemical conversion efficiency of 0.30 % for H2O2 production. This improvement is attributed to the introduced O 2p states by CO groups remained in the PCN matrix, leading to a positive valence band maximum of 1.85 eV (vs. SHE). The co-polymerization of BA and melem combined with Na2CoP2O7 loading also suppressed the charge recombination, resulting in a rapid stepwise one-electron to one-electron reaction for efficient H2O2 production