A. J. Piergiovanni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
11
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. | Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova |
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut |
| 2024 | CVPR | Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. | A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova |
| 2024 | WACV | SLVP: Self-Supervised Language-Video Pre-Training for Referring Video Object Segmentation. | Jie Mei, A. J. Piergiovanni, Jenq-Neng Hwang, Wei Li |
| 2023 | CVPR | Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. | A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova |
| 2023 | ICLR | Compound Tokens: Channel Fusion for Vision-Language Representation Learning. | Maxwell Mbabilla Aladago, A. J. Piergiovanni |
| 2023 | ICLR | PaLI: A Jointly-Scaled Multilingual Language-Image Model. | Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo |
| 2023 | ICLR | Open-Vocabulary Object Detection upon Frozen Vision and Language Models. | Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova |
| 2022 | ECCV | FindIt: Generalized Localization with Natural Language Queries. | Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova |
| 2022 | ECCV | Video Question Answering with Iterative Video-Text Co-tokenization. | A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova |
| 2021 | BMVC | Unsupervised Discovery of Actions in Instructional Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa |
| 2021 | CVPR | Adaptive Intermediate Representations for Video Understanding. | Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova |
| 2021 | CVPR | Recognizing Actions in Videos From Unseen Viewpoints. | A. J. Piergiovanni, Michael S. Ryoo |
| 2021 | ICCV | 4D-Net for Learned Multi-Modal Alignment. | A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova |
| 2020 | AAAI | Differentiable Grammars for Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | CVPR | Evolving Losses for Unsupervised Video Representation Learning. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | ECCV | Adversarial Generative Grammars for Human Activity Prediction. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2020 | ECCV | AssembleNet++: Assembling Modality Representations via Attention Connections. | Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova |
| 2020 | ECCV | AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. | Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua |
| 2020 | ICLR | AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. | Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova |
| 2020 | WACV | Learning Multimodal Representations for Unseen Activities. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CoRL | Model-based Behavioral Cloning with Future Image Similarity Learning. | Alan Wu, A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CVPR | Representation Flow for Action Recognition. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CVPR | Early Detection of Injuries in MLB Pitchers From Video. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | ICCV | Evolving Space-Time Neural Architectures for Videos. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2019 | ICML | Temporal Gaussian Mixture Layer for Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | IROS | Learning Real-World Robot Policies by Dreaming. | A. J. Piergiovanni, Alan Wu, Michael S. Ryoo |
| 2018 | CVPR | Learning Latent Super-Events to Detect Multiple Activities in Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2018 | CVPR | Fine-Grained Activity Recognition in Baseball Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2018 | CVPR | Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. | Alan Wu, A. J. Piergiovanni, Michael S. Ryoo |
| 2017 | AAAI | Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. | A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo |
| 2015 | CogSci | Computational principles underlying people's behavior explanations. | A. J. Piergiovanni, Alan Jern |