Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events. - Wim Boes; Hugo Van hamme (ACM Multimedia, 2019)

On the long-term learning ability of LSTM LMs. - Wim Boes; Robbe Van Rompaey; Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (ESANN, 2020)

Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection. - Wim Boes; Hugo Van hamme (Interspeech, 2021)

Show me where the action is! - Timothy Callemein; Tom Roussel; Ali Diba; Floris De Feyter; Wim Boes; Luc Van Eycken; Luc Van Gool; Hugo Van hamme; Tinne Tuytelaars; Toon Goedemé (Multim. Tools Appl., 2021)

Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event Detection. - Wim Boes; Hugo Van hamme (DCASE, 2022)

Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Multi-Source Transformer Architectures for Audiovisual Scene Classification. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Impact of visual assistance for automated audio captioning. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Multi-encoder attention-based architectures for sound recognition with partial visual assistance. - Wim Boes; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2022)