A curated list of papers and datsets for various audio-visual tasks, inspired by awesome-computer-vision.

• Audio-Visual Localization
• Audio-Visual Separation
• Audio-Visual Representation/Classification/Retrieval
• Audio-Visual Action Recognition
• Audio-Visual Spatial/Depth
• Audio-Visual Navigation/RL
• Audio-Visual Faces/Speech
• Audio-Visual Question Answering
• Audio-Visual Stylization/Generation
• Cross-modal Generation (Audio-Video / Video-Audio)
• Multi-modal Architectures
• Uncategorized Papers

• Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline - Geng, T., Wang, T., Duan, J., Cong, R., & Zheng, F. (CVPR 2023)
• Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning - Sun, W., Zhang, J., Wang, J., Liu, Z., Zhong, Y., Feng, T., ... & Barnes, N. (CVPR 2023) [code]
• Dual Perspective Network for Audio Visual Event Localization - Rao, V., Khalil, M. I., Li, H., Dai, P., & Lu, J. (ECCV 2022)
• A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos - Xuan, H., Wu, Z., Yang, J., Yan, Y., & Alameda-Pineda, X. (CVPR 2022)
• Mix and Localize: Localizing Sound Sources in Mixtures - Hu, X., Chen, Z., & Owens, A. (CVPR 2022) [project page] [code]
• Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks - Pan, W., Shi, H., Zhao, Z., Zhu, J., He, X., Pan, Z., ... & Tian, Q. (CVPR 2022) [code]
• Cross-Modal Background Suppression for Audio-Visual Event Localization - Xia, Y., & Zhao, Z. (CVPR 2022) [code]
• Audio-Visual Grouping Network for Sound Localization from Mixtures - Mo S., Tian Y. (CVPR 2023) [code]
• Egocentric Audio-Visual Object Localization - C. Huang, Y. Tian, A. Kumar, C. Xu (CVPR 2023) [code]
• A Closer Look at Weakly-Supervised Audio-Visual Source Localization - Mo, S., & Morgado, P. (NeurIPS 2022) [code]
• Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing - Mo S., Tian Y. (NeurIPS 2022) [code]
• Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing - Lin, Y. B., Tseng, H. Y., Lee, H. Y., Lin, Y. Y., & Yang, M. H. (NeurIPS 2021)
• Localizing Visual Sounds the Hard Way - Chen, H., Xie, W., Afouras, T., Nagrani, A., Vedaldi, A., & Zisserman, A. (CVPR 2021) [code] [project page]
• Positive Sample Propagation along the Audio-Visual Event Line - Zhou, J., Zheng, L., Zhong, Y., Hao, S., & Wang, M. (CVPR 2021) [code]
• Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing - Wu Y., Yang Y. (CVPR 2021) [code]
• Audio-Visual Localization by Synthetic Acoustic Image Generation - Sanguineti V., Morerio P., Del Bue A., Murino V.(AAAI 2021)
• Binaural Audio-Visual Localization - Wu, X., Wu, Z., Ju L., Wang S. (AAAI 2021) [dataset]
• Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching - Hu, D., Qian, R., Jiang, M., Tan, X., Wen, S., Ding, E., Lin, W., Dou, D. (NeurIPS 2020) [code] [dataset] [demo]
• Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision - Wu, P., Liu, J., Shi, Y., Sun, Y., Shao, F., Wu, Z., & Yang, Z. (ECCV 2020)[project page/dataset]
• Do We Need Sound for Sound Source Localization? - Oya, T., Iwase, S., Natsume, R., Itazuri, T., Yamaguchi, S., & Morishima, S. (arXiv 2020)
• Multiple Sound Sources Localization from Coarse to Fine - Qian, R., Hu, D., Dinkel, H., Wu, M., Xu, N., & Lin, W. (ECCV 2020) [code]
• Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization - Pu, J., Panagakis, Y., & Pantic, M. (ICASSP 2020)
• What Makes the Sound?: A Dual-Modality Interacting Network for Audio-Visual Event Localization - Ramaswamy, J. (ICASSP 2020)
• Self-supervised learning for audio-visual speaker diarization - Ding, Y., Xu, Y., Zhang, S. X., Cong, Y., & Wang, L. (ICASSP 2020)
• See the Sound, Hear the Pixels - Ramaswamy, J., & Das, S. (WACV 2020)
• Dual Attention Matching for Audio-Visual Event Localization - Wu, Y., Zhu, L., Yan, Y., & Yang, Y. (ICCV 2019)
• Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events - Parekh, S., Essid, S., Ozerov, A., Duong, N. Q., Pérez, P., & Richard, G. (arxiv, 2018) CPVRW2018
• Learning to Localize Sound Source in Visual Scenes - Senocak, A., Oh, T. H., Kim, J., Yang, M. H., & Kweon, I. S. (CVPR 2018)
• Objects that Sound - Arandjelovic, R., & Zisserman, A. (ECCV 2018)
• Audio-Visual Event Localization in Unconstrained Videos - Tian, Y., Shi, J., Li, B., Duan, Z., & Xu, C. (ECCV 2018) [project page] [code]
• Audio-visual object localization and separation using low-rank and sparsity - Pu, J., Panagakis, Y., Petridis, S., & Pantic, M. (ICASSP 2017)

• iQuery: Instruments As Queries for Audio-Visual Sound Separation - Chen, J., Zhang, R., Lian, D., Yang, J., Zeng, Z., & Shi, J. (CVPR 2023) [code]
• Language-Guided Audio-Visual Source Separation via Trimodal Consistency - Tan, R., Ray, A., Burns, A., Plummer, B. A., Salamon, J., Nieto, O., ... & Saenko, K. (CVPR 2023) [code]
• Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation - Cheng, H., Liu, Z., Wu, W., & Wang, L. (ICLR 2023)
• AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation - Tzinis, E., Wisdom, S., Remez, T., & Hershey, J. R. (ECCV 2022)
• VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer - Montesinos, J. F., Kadandale, V. S., & Haro, G. (ECCV 2022) [project page] [code]
• Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation - Chatterjee, M., Ahuja, N., & Cherian, A. (NeurIPS 2022)
• Active Audio-Visual Separation of Dynamic Sound Sources - Majumder, S. & Grauman, K. (ECCV 2022) [code] [project page] [code]
• TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation - Rahman, T., Yang, M., & Sigal, L. (NeurIPS 2021) [code]
• Move2Hear: Active Audio-Visual Source Separation - Majumder, S., Al-Halah, Z., & Grauman, K. (ICCV 2021) [code] [project page]
• Visual Scene Graphs for Audio Source Separation - Chatterjee, M., Le Roux, J., Ahuja, N., & Cherian, A. (ICCV 2021) [code] [project page]
• VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency - Gao, R., & Grauman, K. (CVPR 2021) [code] [project page]
• Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation - Tian, Y., Hu, D., & Xu, C. (CVPR 2021) [code]
• Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation Lee, J., Chung, S. W., Kim, S., Kang, H. G., & Sohn, K. (CVPR 2021) [project page]
• Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds - zinis, E., Wisdom, S., Jansen, A., Hershey, S., Remez, T., Ellis, D.P. and Hershey, J.R. (ICLR 2021) [project page]
• Sep-stereo: Visually guided stereophonic audio generation by associating source separation - Zhou, H., Xu, X., Lin, D., Wang, X., & Liu, Z. (ECCV 2020) [project page] [code]
• Visually Guided Sound Source Separation using Cascaded Opponent Filter Network. arXiv - Zhu, L., & Rahtu, E. (arXiv 2020) [project page]
• Music Gesture for Visual Sound Separation - Gan, C., Huang, D., Zhao, H., Tenenbaum, J. B., & Torralba, A. (CVPR 2020) [project page] [code]
• Recursive Visual Sound Separation Using Minus-Plus Net - Xudong Xu, Bo Dai, Dahua Lin (ICCV 2019)
• Co-Separating Sounds of Visual Objects - Gao, R. & Grauman, K. (ICCV 2019) [project page]
• The sound of Motions - Zhao, H., Gan, C., Ma, W. & Torralba, A. (ICCV 2019)
• Learning to Separate Object Sounds by Watching Unlabeled Video - Gao, R., Feris, R., & Grauman, K. (ECCV 2018 (Oral)) [project page] [code] [dataset]
• The Sound of Pixels - Zhao, H., Gan, C., Rouditchenko, A., Vondrick, C., McDermott, J., & Torralba, A. (ECCV 2018) [project page] [code] [dataset]

• Vision Transformers Are Parameter-Efficient Audio-Visual Learners - Lin, Y. B., Sung, Y. L., Lei, J., Bansal, M., & Bertasius, G. (CVPR 2023) [code]
• Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception - Gao, J., Chen, M., & Xu, C. (CVPR 2023) [code]
• Contrastive Audio-Visual Masked Autoencoder - Gong, Y., Rouditchenko, A., Liu, A. H., Harwath, D., Karlinsky, L., Kuehne, H., & Glass, J. R. (ICLR 2023) [code]
• Audio-Visual Segmentation - Zhou, J., Wang, J., Zhang, J., Sun, W., Zhang, J., Birchfield, S., ... & Zhong, Y. (ECCV 2022) [code]
• Temporal and cross-modal attention for audio-visual zero-shot learning - Mercea, O. B., Hummel, T., Koepke, A. S., & Akata, Z. (ECCV 2022) [code]
• Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment - Lee, S., Park, S., & Ro, Y. M. (ECCV 2022)
• Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing - Cheng, H., Liu, Z., Zhou, H., Qian, C., Wu, W., & Wang, L. (ECCV 2022) [code]
• MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound - Zellers, R., Lu, J., Lu, X., Yu, Y., Zhao, Y., Salehi, M., ... & Choi, Y. (CVPR 2022) [project page] [code]
• Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory - Lee, S., Kim, H. I., & Ro, Y. M. (CVPR 2022)
• Sound and Visual Representation Learning With Multiple Pretraining Tasks - Vasudevan, A. B., Dai, D., & Van Gool, L. (CVPR 2022)
• Self-Supervised Object Detection From Audio-Visual Correspondence - Afouras, T., Asano, Y. M., Fagan, F., Vedaldi, A., & Metze, F. (CVPR 2022)
• Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language [project page] [code]
• Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing - Mo, S., & Tian, Y. (NeurIPS 2022) [code]
• Self-Supervised Object Detection From Audio-Visual Correspondence - Afouras, T., Asano, Y. M., Fagan, F., Vedaldi, A., & Metze, F. (CVPR 2022)
• Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language - [code]
• Learning State-Aware Visual Representations from Audible Interactions - Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta. (NeurIPS 2022) [code]
• ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning - Lee, S., Chung, J., Yu, Y., Kim, G., Breuel, T., Chechik, G., & Song, Y. (ICCV 2021) [code] [project page]
• Spoken moments: Learning joint audio-visual representations from video descriptions - Monfort, M., Jin, S., Liu, A., Harwath, D., Feris, R., Glass, J., & Oliva, A. (CVPR 2021) [project page/dataset]
• Robust Audio-Visual Instance Discrimination - Morgado, P., Misra, I., & Vasconcelos, N. (CVPR 2021)
• Distilling Audio-Visual Knowledge by Compositional Contrastive Learning - Chen, Y., Xian, Y., Koepke, A., Shan, Y., & Akata, Z. (CVPR 2021) [code]
• Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning - Zhang, J., Xu, X., Shen, F., Lu, H., Liu, X., & Shen, H. T. (AAAI 2021)
• Active Contrastive Learning of Ausio-Visual Video Representations - Ma, S., Zeng, Z., McDuff, D., & Song, Y. (ICLR 2021) [code]
• Labelling unlabelled videos from scratch with multi-modal self-supervision - Asano, Y., Patrick, M., Rupprecht, C., & Vedaldi, A. (NeruIPS 2020) [project page]
• Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation learning - Cheng, Y., Wang, R., Pan, Z., Feng, R., & Zhang, Y. (ACM MM 202)
• Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition - Di Hu, X. L., Mou, L., Jin, P., Chen, D., Jing, L., Zhu, X., & Dou, D. (ECCV 2020) [code]
• Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning - Sanguineti, V., Morerio, P., Pozzetti, N., Greco, D., Cristani, M., & Murino, V. (ECCV 2020) [code]
• Self-Supervised Learning of Audio-Visual Objects from Video - Afouras, T., Owens, A., Chung, J. S., & Zisserman, A. (ECCV 2020) [project page]
• Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing - Tian, Y., Li, D., & Xu, C. (ECCV 2020)
• Audio-Visual Instance Discrimination with Cross-Modal Agreement - Morgado, P., Vasconcelos, N., & Misra, I. (CVPR 2021)
• Vggsound: A Large-Scale Audio-Visual Dataset - Chen, H., Xie, W., Vedaldi, A., & Zisserman, A. (ICASSP 2020) [project page/dataset] [code]
• Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data - Fayek, H. M., & Kumar, A. (IJCAI 2020)
• Multi-modal Self-Supervision from Generalized Data Transformations - Patrick, M., Asano, Y. M., Fong, R., Henriques, J. F., Zweig, G., & Vedaldi, A. (arXiv 2020)
• Curriculum Audiovisual Learning - Hu, D., Wang, Z., Xiong, H., Wang, D., Nie, F., & Dou, D. (arXiv 2020)
• Audio-visual model distillation using acoustic images - Perez, A., Sanguineti, V., Morerio, P., & Murino, V. (WACV 2020) [code] [dataset]
• Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zero-shot Classification and Retrieval of Videos - Parida, K., Matiyali, N., Guha, T., & Sharma, G. (WACV 2020) [project page][Dataset]
• Self-Supervised Learning by Cross-Modal Audio-Video Clustering - Alwassel, H., Mahajan, D., Torresani, L., Ghanem, B., & Tran, D. (NeurIPS 2020)
• Look, listen, and learn more: Design choices for deep audio embeddings - Cramer, J., Wu, H. H., Salamon, J., & Bello, J. P. (ICASSP 2019) [code] [L3-embedding]
• Self-supervised audio-visual co-segmentation - Rouditchenko, A., Zhao, H., Gan, C., McDermott, J., & Torralba, A. (ICASSP 2019)
• Deep Multimodal Clustering for Unsupervised Audiovisual Learning - (Hu, D., Nie, F., & Li, X. (CVPR 2019))
• Cooperative learning of audio and video models from self-supervised synchronization - (Korbar, B., Tran, D., & Torresani, L. (NeurIPS 2108)) [project page][trained model 1][trained model 2]
• Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description - Hori, C., Hori, T., Wichern, G., Wang, J., Lee, T. Y., Cherian, A., & Marks, T. K. (CVPRW 2018)
• Audio-Visual Scene Analysis with Self-Supervised Multisensory Features - Owens, A., & Efros, A. A. (ECCV 2018 (Oral)) [project page] [code]
• Look, listen and learn - Arandjelovic, R., & Zisserman, A. (ICCV 2017) [Keras-code]
• Ambient Sound Provides Supervision for Visual Learning - Owens, A., Wu, J., McDermott, J. H., Freeman, W. T., & Torralba, A. (ECCV 2016(Oral)) [journal version] [project page]
• Soundnet: Learning sound representations from unlabeled video - Aytar, Y., Vondrick, C., & Torralba, A. (NIPS 2016) [project page] [code]
• See, hear, and read: Deep aligned representations - Aytar, Y., Vondrick, C., & Torralba, A. (arXiv 2017) [project page]
• Cross-Modal Embeddings for Video and Audio Retrieval -Surís, D., Duarte, A., Salvador, A., Torres, J., & Giró-i-Nieto, X. (ECCVW, 2018)

• Audio-Adaptive Activity Recognition Across Video Domains - Zhang, Y., Doughty, H., Shao, L., & Snoek, C. G. (CVPR 2022) [project page] [code]
• Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization - Lee, J., Jain, M., Park, H., & Yun, S. (ICLR 2021)
• Speech2Action: Cross-modal Supervision for Action Recognition - Nagrani, A., Sun, C., Ross, D., Sukthankar, R., Schmid, C., & Zisserman, A. (CVPR 2020) project page, dataset
• Listen to Look: Action Recognition by Previewing Audio - Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani (CVPR 2020) [project page]
• EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition - Kazakos, E., Nagrani, A., Zisserman, A., & Damen, D. (ICCV 2019) [project page] [code]
• Uncertainty-aware Audiovisual Activity Recognition using Deep Bayesian Variational Inference - Subedar, M., Krishnan, R., Meyer, P. L., Tickoo, O., & Huang, J. (ICCV 2019)
• Seeing and Hearing Egocentric Actions: How Much Can We Learn? - Cartas, A., Luque, J., Radeva, P., Segura, C., & Dimiccoli, M. (ICCVW 2019)
• How Much Does Audio Matter to Recognize Egocentric Object Interactions? - Cartas, A., Luque, J., Radeva, P., Segura, C., & Dimiccoli, M. (EPIC CVPRW 2019)

• Camera Pose Estimation and Localization with Active Audio Sensing - Yang, K., Firman, M., Brachmann, E., & Godard, C. (ECCV 2022)
• Few-Shot Audio-Visual Learning of Environment Acoustics - Majumder, S., Chen, C., Al-Halah, Z., & Grauman, K. NeurIPS (2022) [code]
• Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization - Rachavarapu, K. K., Sundaresha, V., & Rajagopalan, A. N. (ICCV 2021)
• Visually Informed Binaural Audio Generation without Binaural Audios - Xu, X., Zhou, H., Liu, Z., Dai, B., Wang, X., & Lin, D. (CVPR 2021) [code]
• Beyond image to depth: Improving depth prediction using echoes - Parida, K. K., Srivastava, S., & Sharma, G. (CVPR 2021) [code] [project page]
• Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation - Lin, Yan-Bo and Wang, Yu-Chiang Frank, (AAAI 2021)
• Learning Representations from Audio-Visual Spatial Alignment - Morgado, P., Li, Y., & Nvasconcelos, N. (NeurIPS 2020) [code]
• VisualEchoes: Spatial Image Representation Learning through Echolocation - Gao, R., Chen, C., Al-Halah, Z., Schissler, C., & Grauman, K. (ECCV 2020)
• BatVision with GCC-PHAT Features for Better Sound to Vision Predictions - Christensen, J. H., Hornauer, S., & Yu, S. (CVPRW 2020)
• BatVision: Learning to See 3D Spatial Layout with Two Ears - Christensen, J. H., Hornauer, S., & Yu, S. (ICRA 2020) [dataset/code]
• Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds - Vasudevan, A. B., Dai, D., & Van Gool, L. (arXiv 2020) [project page]
• Audio-Visual SfM towards 4D reconstruction under dynamic scenes - Konno, A., Nishida K., Itoyama K., Nakadai K. (CVPRW 2020)
• Telling Left From Right: Learning Spatial Correspondence of Sight and Sound - Yang, K., Russell, B., & Salamon, J. (CVPR 2020) [project page / dataset]
• 2.5D Visual Sound - Gao, R., & Grauman, K. (CVPR 2019) [project page] [dataset] [code]
• Self-supervised generation of spatial audio for 360 video - Morgado, P., Nvasconcelos, N., Langlois, T., & Wang, O. (NeurIPS 2018) [project page] [code/dataset]
• Self-supervised audio spatialization with correspondence classifier - Lu, Y. D., Lee, H. Y., Tseng, H. Y., & Yang, M. H. (ICIP 2019)

• Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion - Ye, Q., Shen, X., Gao, Y., Wang, Z., Bi, Q., Li, P., & Yang, G. (ICCV 2021)
• Joint Visual and Audio Learning for Video Highlight Detection - Badamdorj, T., Rochan, M., Wang, Y., & Cheng, L. (ICCV 2021)

• Joint Audio-Visual Deepfake Detection - Zhou, Y., & Lim, S. N. (ICCV 2021)

• Sound Adversarial Audio-Visual Navigation - Yu, Y., Huang, W., Sun, F., Chen, C., Wang, Y., & Liu, X. (ICLR 2022) [project page] [code]
• AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments - Paul, S., Roy-Chowdhury, A., & Cherian, A. (NeurIPS 2022)
• Semantic Audio-Visual Navigation - Chen, C., Al-Halah, Z., & Grauman, K. (CVPR 2021) [project page] [code]
• Learning to set waypoints for audio-visual navigation - Chen, C., Majumder, S., Al-Halah, Z., Gao, R., Ramakrishnan, S. K., & Grauman, K. (ICLR 2021) [project page] [code]
• See, hear, explore: Curiosity via audio-visual association - Dean, V., Tulsiani, S., & Gupta, A. (arXiv 2020) [project page] [code]
• Audio-Visual Embodied Navigation - Chen, C., Jain, U., Schissler, C., Gari, S. V. A., Al-Halah, Z., Ithapu, V. K., Robinson P., Grauman, K. (ECCV 2020) [project page]
• Look, listen, and act: Towards audio-visual embodied navigation - Gan, C., Zhang, Y., Wu, J., Gong, B., & Tenenbaum, J. B. (ICRA 2020) [project page/dataset]

• DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation - Shen, S., Zhao, W., Meng, Z., Li, W., Zhu, Z., Zhou, J., & Lu, J. (CVPR 2023) [code]
• SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation - Zhang, W., Cun, X., Wang, X., Zhang, Y., Shen, X., Guo, Y., ... & Wang, F. (CVPR 2023) [project page] [code]
• Parametric Implicit Face Representation for Audio-Driven Facial Reenactment - Huang, R., Lai, P., Qin, Y., & Li, G. (CVPR 2023)
• Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation - Zhu, L., Liu, X., Liu, X., Qian, R., Liu, Z., & Yu, L. (CVPR 2023) [code]
• Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring - Hong, J., Kim, M., Choi, J., & Ro, Y. M. (CVPR 2023) [code]
• AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction - Chatziagapi, A., & Samaras, D. (CVPR 2023)
• GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis - Ye, Z., Jiang, Z., Ren, Y., Liu, J., He, J., & Zhao, Z. (ICLR 2023) [code]
• Jointly Learning Visual and Auditory Speech Representations from Raw Data - Haliassos, A., Ma, P., Mira, R., Petridis, S., & Pantic, M. (ICLR 2023) [code]
• Audio-Driven Stylized Gesture Generation with Flow-Based Model - Ye, S., Wen, Y. H., Sun, Y., He, Y., Zhang, Z., Wang, Y., ... & Liu, Y. J. (ECCV 2022) [code]
• Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation - Liu, X., Xu, Y., Wu, Q., Zhou, H., Wu, W., & Zhou, B. (ECCV 2022) [project page] [code]
• Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction - Shi, B., Hsu, W. N., Lakhotia, K., & Mohamed, A. (ICLR 2022) [code]
• PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound - Yang, Z., Fan, X., Isler, V., & Park, H. S. (CVPR 2022)
• Audio-Driven Neural Gesture Reenactment With Video Motion Graphs - Zhou, Y., Yang, J., Li, D., Saito, J., Aneja, D., & Kalogerakis, E. (CVPR 2022) [code]
• Expressive Talking Head Generation With Granular Audio-Visual Control - Liang, B., Pan, Y., Guo, Z., Zhou, H., Hong, Z., Han, X., ... & Wang, J. (CVPR 2022)
• Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization - Jiang, H., Murdock, C., & Ithapu, V. K. (CVPR 2022)
• Audio-Driven Co-Speech Gesture Video Generation - Liu, X., Wu, Q., Zhou, H., Du, Y., Wu, W., Lin, D., & Liu, Z. (NeurIPS 2022) [project page] [code]
• Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis - Yang, K., Marković, D., Krenn, S., Agrawal, V., & Richard, A. (CVPR 2022) [video]
• Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders - Li, J., Kang, D., Pei, W., Zhe, X., Zhang, Y., He, Z., & Bao, L. (ICCV 2021) [code] [project page]
• Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association - Wen, P., Xu, Q., Jiang, Y., Yang, Z., He, Y., & Huang, Q. (CVPR 2021) [code]
• Audio-Driven Emotional Video Portraits - Ji, X., Zhou, H., Wang, K., Wu, W., Loy, C. C., Cao, X., & Xu, F. (CVPR 2021) [project page] [code]
• Pose-controllable talking face generation by implicitly modularized audio-visual representation - Zhou, H., Sun, Y., Wu, W., Loy, C. C., Wang, X., & Liu, Z. (CVPR 2021) [project page] [code]
• One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing - Wang, T. C., Mallya, A., & Liu, M. Y. (CVPR 2021) [project page]
• Unsupervised audiovisual synthesis via exemplar autoencoders - Deng, K., Bansal, A., & Ramanan, D. [project page] [project page]
• Mead: A large-scale audio-visual dataset for emotional talking-face generation - Wang, K., Wu, Q., Song, L., Yang, Z., Wu, W., Qian, C., He, R., Qiao Y., Loy, C. C. (ECCV 2020) [project page/dataset]
• Discriminative Multi-modality Speech Recognition - Xu, B., Lu, C., Guo, Y., & Wang, J. (CVPR 2020)
• Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis - Prajwal, K. R., Mukhopadhyay, R., Namboodiri, V. P., & Jawahar, C. V. (CVPR 2020) [project page/dataset] [code]
• DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads - Zhang, X., Wu, X., Zhai, X., Ben, X., & Tu, C. (CVPR 2020)
• Learning to Have an Ear for Face Super-Resolution - Meishvili, G., Jenni, S., & Favaro, P. (CVPR 2020) [project page] [code]
• ASR is all you need: Cross-modal distillation for lip reading - Afouras, T., Chung, J. S., & Zisserman, A. (ICASSP 2020)
• Visually guided self supervised learning of speech representations - Shukla, A., Vougioukas, K., Ma, P., Petridis, S., & Pantic, M. (ICASSP 2020)
• Disentangled Speech Embeddings using Cross-modal Self-supervision - Nagrani, A., Chung, J. S., Albanie, S., & Zisserman, A. (ICASSP 2020)
• Animating Face using Disentangled Audio Representations - Mittal, G., & Wang, B. (WACV 2020)
• Deep Audio-Visual Speech Recognition - T. Afouras, J.S. Chung*, A. Senior, O. Vinyals, A. Zisserman (TPAMI 2019)
• Reconstructing faces from voices - Yandong Wen, Rita Singh, Bhiksha Raj (NIPS 2019)[project page]
• Learning Individual Styles of Conversational Gesture - Ginosar, S., Bar, A., Kohavi, G., Chan, C., Owens, A., & Malik, J. (CVPR 2019) [project page] [dataset]
• Hierarchical Cross-Modal Talking Face Generation with Dynamic Pixel-Wise Loss - Chen, L., Maddox, R. K., Duan, Z., & Xu, C. (CVPR 2019)[project page]
• Speech2Face: Learning the Face Behind a Voice - Oh, T. H., Dekel, T., Kim, C., Mosseri, I., Freeman, W. T., Rubinstein, M., & Matusik, W. (CVPR 2019)[project page]
• My lips are concealed: Audio-visual speech enhancement through obstructions - Afouras, T., Chung, J. S., & Zisserman, A. (INTERSPEECH 2019) [project page]
• Talking Face Generation by Adversarially Disentangled Audio-Visual Representation - Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang (AAAI 2019) [project page] [code]
• Disjoint mapping network for cross-modal matching of voices and faces - Wen, Y., Ismail, M. A., Liu, W., Raj, B., & Singh, R. (ICLR 2019)[project page]
• X2Face: A network for controlling face generation using images, audio, and pose codes - Wiles, O., Sophia Koepke, A., & Zisserman, A. (ECCV 2018)[project page][code]
• Learnable PINs: Cross-Modal Embeddings for Person Identity - Nagrani, A., Albanie, S., & Zisserman, A. (ECCV 2018)[project page]
• Seeing voices and hearing faces: Cross-modal biometric matching - Nagrani, A., Albanie, S., & Zisserman, A. (CVPR 2018) [project page][code](trained moodel only)
• Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation - Ephrat, A., Mosseri, I., Lang, O., Dekel, T., Wilson, K., Hassidim, A., Freeman, W.T. and Rubinstein, M., (SIGGRAPH 2018) [project page]
• The Conversation: Deep Audio-Visual Speech Enhancement - Afouras, T., Chung, J. S., & Zisserman, A. (INTERSPEECH 2018) [project page]
• VoxCeleb2: Deep Speaker Recognition - Nagrani, A., Chung, J. S., & Zisserman, A. (INTERSPEECH 2018) [dataset]
• You said that? - Son Chung, J., Jamaludin, A., & Zisserman, A. (BMVC 2017) [project page] [code](trained model, evaluation code)
• VoxCeleb: a large-scale speaker identification dataset - Nagrani, A., Chung, J. S., & Zisserman, A. (INTERSPEECH 2017) [project page][code] [dataset]
• Out of time: automated lip sync in the wild - J.S. Chung & A. Zisserman (ACCVW 2016)

• INRAS: Implicit Neural Representations of Audio Scenes - Su, K.*, Chen, M.*, Shilzerman, E. (NeurIPS 2022)
• Learning Neural Acoustic Fields - Luo, A., Du, Y., Tarr, M., Tenenbaum, J., Torralba, A., & Gan, C. (NeurIPS 2022) [code] [project page]

• PACS: A Dataset for Physical Audiovisual CommonSense Reasoning - Yu, S., Wu, P., Liang, P. P., Salakhutdinov, R., & Morency, L. P. (ECCV 2022) [code]
• Learning To Answer Questions in Dynamic Audio-Visual Scenarios - Li, G., Wei, Y., Tian, Y., Xu, C., Wen, J. R., & Hu, D. (CVPR 2022) [project page] [code]

• Conditional Generation of Audio From Video via Foley Analogies - Du, Y., Chen, Z., Salamon, J., Russell, B., & Owens, A. (CVPR 2023) [project page]
• Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment - Sung-Bin, K., Senocak, A., Ha, H., Owens, A., & Oh, T. H. (CVPR 2023) [project page]
• How Does it Sound? Generation of Rhythmic Soundtracks for Human Movement Videos - Su, K., Liu, X., & Shlizerman, E. (NeurIPS 2021)
• AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ - Li, R., Yang, S., Ross, D. A., & Kanazawa, A. (ICCV 2021) [code] [project page] [dataset]
• Sound2Sight: Generating Visual Dynamics from Sound and Context - Cherian, A., Chatterjee, M., & Ahuja, N. (ECCV 2020)
• Generating Visually Aligned Sound from Videos - Chen, P., Zhang, Y., Tan, M., Xiao, H., Huang, D., & Gan, C. (IEEE Transactions on Image Processing 2020)
• Audeo: Audio Generation for a Silent Performance Video - Su, K., Liu, X., & Shlizerman, E. (NeurIPS 2020)
• Foley Music: Learning to Generate Music from Videos - Gan, C., Huang, D., Chen, P., Tenenbaum, J. B., & Torralba, A. (ECCV 2020) [project page]
• Spectrogram Analysis Via Self-Attention for Realizing Cross-Model Visual-Audio Generation - Tan, H., Wu, G., Zhao, P., & Chen, Y. (ICASSP 2020)
• Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck - (Shuang Ma, Daniel McDuff, Yale Song (ICCV 2019)) [code]
• Listen to the Image - (Hu, D., Wang, D., Li, X., Nie, F., & Wang, Q. (CVPR 2019))
• Cascade attention guided residue learning GAN for cross-modal translation - Duan, B., Wang, W., Tang, H., Latapie, H., & Yan, Y. (arXiv 2019) [code]
• Visual to Sound: Generating Natural Sound for Videos in the Wild - (Zhou, Y., Wang, Z., Fang, C., Bui, T., & Berg, T. L. (CVPR 2018))[project page]
• Image generation associated with music data - Qiu, Y., & Kataoka, H. (CVPRW 2018)
• CMCGAN: A uniform framework for cross-modal visual-audio mutual generation - Hao, W., Zhang, Z., & Guan, H. (AAAI 2018)

• MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation - Ruan, L., Ma, Y., Yang, H., He, H., Liu, B., Fu, J., ... & Guo, B. (CVPR 2023) [code]
• MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration - Hayes, T., Zhang, S., Yin, X., Pang, G., Sheng, S., Yang, H., ... & Parikh, D. (ECCV 2022) [project page] [code]
• Learning visual styles from audio-visual associations - Li, T., Liu, Y., Owens, A., & Zhao, H. (ECCV 2022) [project page] [code]
• Sound-Guided Semantic Image Manipulation - Lee, S. H., Roh, W., Byeon, W., Yoon, S. H., Kim, C., Kim, J., & Kim, S. (CVPR 2022) [project page] [code]

• What Makes Training Multi-Modal Networks Hard? - Wang, W., Tran, D., & Feiszli, M. (arXiv 2019)
• MFAS: Multimodal Fusion Architecture Search - Pérez-Rúa, J. M., Vielzeuf, V., Pateux, S., Baccouche, M., & Jurie, F. (CVPR 2019)

• CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective - Xiong, J., Wang, G., Zhang, P., Huang, W., Zha, Y., & Zhai, G. (CVPR 2023)
• Self-Supervised Video Forensics by Audio-Visual Anomaly Detection - Feng, C., Chen, Z., & Owens, A. (CVPR 2023) [code]
• Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset - Van Horn, G., Qian, R., Wilber, K., Adam, H., Mac Aodha, O., & Belongie, S. (ECCV 2022) [code]
• Learning Audio-Video Modalities from Image Captions - Nagrani, A., Seo, P. H., Seybold, B., Hauth, A., Manen, S., Sun, C., & Schmid, C. (ECCV 2022) [project page] [dataset]
• MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions - Soldan, M., Pardo, A., Alcázar, J. L., Caba, F., Zhao, C., Giancola, S., & Ghanem, B. (CVPR 2022) [code]
• Finding Fallen Objects via Asynchronous Audio-Visual Integration - Gan, C., Gu, Y., Zhou, S., Schwartz, J., Alter, S., Traer, J., ... & Torralba, A. (CVPR 2022) [code]
• Audio-Visual Floorplan Reconstruction - S. Purushwalkam, S. V. A. Gari, V. K. Ithapu, C. Schissler, P. Robinson, A. Gupta, K. Grauman (ICCV 2021) [code] [project page]
• GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition - (CVPR 2021)
• There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge - Valverde, F. R., Hurtado, J. V., & Valada, A. (CVPR 2021) [code] [project page/dataset]
• Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? - Tian, Y., & Xu, C. (CVPR 2021) [code]
• Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection? - Xuanjun Chen,et al. (SLT 2022) [Demos]
• Sight to sound: An end-to-end approach for visual piano transcription - Koepke, A. S., Wiles, O., Moses, Y., & Zisserman, A. (ICASSP 2020) [project page/dataset]
• Solos: A Dataset for Audio-Visual Music Analysis - Montesinos, J. F., Slizovskaia, O., & Haro, G. (arXiv 2020) [project page] [dataset]
• Cross-Task Transfer for Multimodal Aerial Scene Recognition - Hu, D., Li, X., Mou, L., Jin, P., Chen, D., Jing, L., ... & Dou, D. (arXiv 2020) [code] [dataset]
• STAViS: Spatio-Temporal AudioVisual Saliency Network - Tsiami, A., Koutras, P., & Maragos, P. (CVPR 2020) [code]
• AlignNet: A Unifying Approach to Audio-Visual Alignment - Wang, J., Fang, Z., & Zhao, H. (WACV 2020) [project page] [code]
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• Shape and material from sound - Zhang, Z., Li, Q., Huang, Z., Wu, J., Tenenbaum, J., & Freeman, B. (NeurIPS 2017)

• AudioSet - Audio-Visual Classification
• MUSIC - Audio-Visual Source Separation
• AudioSetZSL - Audio-Visual Zero-shot Learning
• Visually Engaged and Grounded AudioSet (VEGAS) - Sound generation from video
• SoundNet-Flickr - Image-Audio pair for cross-modal learning
• Audio-Visual Event (AVE) - Audio-Visual Event Localization
• AudioSet Single Source - Subset of AudioSet videos containing only a single souding object
• Kinetics-Sounds - Subset of Kinetics dataset
• EPIC-Kitchens - Egocentric Audio-Visual Action Recogniton
• Audio-Visually Indicated Actions Dataset - Multimodal dataset (RGB, acoustic data as raw audio) acquired using the acoustic-optical camera
• IMSDb dataset - Movie scripts downloaded from The Internet Script Movie Database
• YOUTUBE-ASMR-300K dataset - ASMR videos collected from YouTube that contains stereo audio
• FAIR-Play - 1,871 video clips and their corresponding binaural audio clips recorded in a music room
• VGG-Sound - audio-visual correspondent dataset consisting of short clips of audio sounds, extracted from videos uploaded to YouTube
• XD-Violence - weakly annotated dataset for audio-visual violence detection
• AuDio Visual Aerial sceNe reCognition datasEt (ADVANCE) - Geotagged aerial images and sounds, classified into 13 scene classes
• auDIoviSual Crowd cOunting dataset (DISCO) - 1,935 Images and audios from various typical scenes, a total of 170, 270 instances annotated with the head locations.
• MUSIC-Synthetic dataset- Category-balanced multi-source videos by artificially synthesizing solo videos from the MUSIC dataset, to facilitate the learning and evaluation of multiple-soundings-sources localization in the cocktail-party scenario.
• ACAV100M - 140 million full-length videos (total duration 1,030 years) and produce a dataset of 100 million 10-second clips (31 years) with high audio-visual correspondence.
• AIST++ - A large-scale 3D human dance motion dataset, which contains a wide variety of 3D motion paired with music It is built upon the AIST Dance Database, which is an uncalibrated multi-view collection of dance videos.
• VideoCC - A dataset containing (video-URL, caption) pairs for training video-text machine learning models. It is created using an automatic pipeline starting from the Conceptual Captions Image-Captioning Dataset.
• ssw60 - A dataset for research on adiovisual fine-grained categorization. The dataset covers 60 species of birds that all occur in a specific geographic location: Sapsucker Woods, Ithaca, NY. It is comprised of images from existing datasets, and brand new, expert curated audio and video data.
• PACS - A dataset designed to help create and evaluate a new generation of AI algorithms able to reason about physical commonsense using both audio and visual modalities.
• AVSBench - A dataset for audio-visual pixel-wise segmentation task.
• UnAV-100 - The dataset consists of more than 10K untrimmed videos with over 30K audio-visual events covering 100 different event categories. There are often multiple audio-visual events that might be very short or long, and occur concurrently in each video as in real-life audio-visual scenes.

• VoxCeleb - Audio-Visual Speaker Identification, contains two versions
• EmoVoxCeleb
• Speech2Gesture - Gesture prediction from speech
• AVSpeech
• LRW Dataset
• LRS2, LRS3, LRS3 Language - Lip Reading Datasets

License

To the extent possible under law, Kranti Kumar Parida has waived all copyright and related or neighboring rights to this work.

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