[44] Yan-Bo Lin and Yu-Chiang Frank Wang. Audiovisual transformer with instance attention for audio-visual event localization. In ACCV, 2020. 5, 9
[45] Yan-Bo Lin and Yu-Chiang Frank Wang. Exploiting audio-visual consistency with partial supervision for spatial audio generation. In AAAI, 2021. 5
[46] Yan-Bo Lin, Yu-Jhe Li, and Yu-Chiang Frank Wang. Dual-modality seq2seq network for audio-visual event localization. In ICASSP, 2019. 5, 6, 9
[47] Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, and Ming-Hsuan Yang. Exploring cross-video and cross-modality signals for weakly-supervised audio-visual video parsing. In NeurIPS, 2021. 6
[48] Sagnik Majumder, Ziad Al-Halah, and Kristen Grauman. Move2hear: Active audio-visual source separation. In ICCV, 2021. 5
[49] Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D Plumbley, and Wenwu Wang. On metric learning for audio-text cross-modal retrieval. In INTERSPEECH, 2022. 4
[50] Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, and Jesper Jensen. On training targets and objective functions for deep-learning-based audio-visual speech enhancement. In ICASSP, 2019. 5
[51] Shentong Mo and Yapeng Tian. Multi-modal grouping network for weakly-supervised audio-visual video parsing. In NeurIPS, 2022. 5, 6
[52] Andrew Owens and Alexei A Efros. Audio-visual scene analysis with self-supervised multisensory features. In ECCV, 2018. 5
[53] Rameswar Panda, Chun-Fu Richard Chen, Quanfu Fan, Xineng Sun, Kate Saenko, Aude Oliva, and Rogerio Feris. Adamml: Adaptive multi-modal learning for efficient video recognition. In ICCV, 2021. 1, 5
[54] Kranti Kumar Parida, Siddharth Srivastava, and Gaurav Sharma. Beyond mono to binaural: Generating binaural audio from mono audio with depth and cross modal attention. In WACV, 2022. 5
[55] Yanmin Qian, Zhengyang Chen, and Shuai Wang. Audio-visual deep neural network for robust person verification. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:1079-1092, 2021. 5
[56] Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. Learning transferable visual models from natural language supervision. In ICML, 2021. 2, 3, 4
[57] Janani Ramaswamy. What makes the sound?: A dual-modality interacting network for audio-visual event localization. In ICASSP, 2020. 9
[58] Janani Ramaswamy and Sukhendu Das. See the sound, hear the pixels. In WACV, 2020. 9
[59] Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh McDermott, and Antonio Torralba. Self-supervised audio-visual co-segmentation. In ICASSP, 2019. 5
[60] Mostafa Sadeghi and Xavier Alameda-Pineda. Robust unsupervised audio-visual speech enhancement using a mixture of variational autoencoders. In ICASSP, 2020. 5
[61] Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, and Yatharth Saraf. A multi-view approach to audio-visual speaker verification. In ICASSP, 2021. 5
[62] Idan Schwartz, Alexander G Schwing, and Tamir Hazan. A simple baseline for audio-visual scene-aware dialog. In CVPR, 2019. 5
[63] Gregory Sell, Kevin Duh, David Snyder, Dave Etter, and Daniel Garcia-Romero. Audio-visual person recognition in multimedia data from the iarpa janus program. In ICASSP, 2018. 5
[64] Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, and In So Kweon. Learning to localize sound sources in visual scenes: Analysis and applications. IEEE TPAMI, 43(5):1605-1619, 2019. 5
[65] Ankit Shah, Shijie Geng, Peng Gao, Anoop Cherian, Takaaki Hori, Tim K Marks, Jonathan Le Roux, and Chiori Hori. Audio-visual scene-aware dialog and reasoning using audio-visual transformers with joint student-teacher learning. In ICASSP, 2022. 5
[66] Bowen Shi, Wei-Ning Hsu, and Abdelrahman Mohamed. Robust self-supervised audio-visual speech recognition. In INTERSPEECH, 2022. 1, 5