Computational principles underlying people's behavior explanations. - A. J. Piergiovanni; Alan Jern (CogSci, 2015)

Temporal attention filters for human activity recognition in videos. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (CoRR, 2016)

Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (AAAI, 2017)

Learning Latent Super-Events to Detect Multiple Activities in Videos. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2018)

Fine-Grained Activity Recognition in Baseball Videos. - A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2018)

Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2018)

Activity Detection with Latent Sub-event Hierarchy Learning. - A. J. Piergiovanni; Michael S. Ryoo (CoRR, 2018)

Learning Shared Multimodal Embeddings with Unpaired Data. - A. J. Piergiovanni; Michael S. Ryoo (CoRR, 2018)

Model-based Behavioral Cloning with Future Image Similarity Learning. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (CoRL, 2019)

Representation Flow for Action Recognition. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2019)

Early Detection of Injuries in MLB Pitchers From Video. - A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2019)

Evolving Space-Time Neural Architectures for Videos. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ICCV, 2019)

Temporal Gaussian Mixture Layer for Videos. - A. J. Piergiovanni; Michael S. Ryoo (ICML, 2019)

Learning Real-World Robot Policies by Dreaming. - A. J. Piergiovanni; Alan Wu; Michael S. Ryoo (IROS, 2019)

Learning Differentiable Grammars for Continuous Data. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Evolving Losses for Unlabeled Video Representation Learning. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Tiny Video Networks. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Differentiable Grammars for Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (AAAI, 2020)

Evolving Losses for Unsupervised Video Representation Learning. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CVPR, 2020)

Adversarial Generative Grammars for Human Activity Prediction. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ECCV (2), 2020)

AssembleNet++: Assembling Modality Representations via Attention Connections. - Michael S. Ryoo; A. J. Piergiovanni; Juhana Kangaspunta; Anelia Angelova (ECCV (20), 2020)

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 (ECCV (8), 2020)

AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. - Michael S. Ryoo; A. J. Piergiovanni; Mingxing Tan; Anelia Angelova (ICLR, 2020)

AViD Dataset: Anonymized Videos from Diverse Countries. - A. J. Piergiovanni; Michael S. Ryoo (NeurIPS, 2020)

Learning Multimodal Representations for Unseen Activities. - A. J. Piergiovanni; Michael S. Ryoo (WACV, 2020)

Model-Based Robot Imitation with Future Image Similarity. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (Int. J. Comput. Vis., 2020)

Correction to: Model-Based Robot Imitation with Future Image Similarity. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (Int. J. Comput. Vis., 2020)

Unsupervised Discovery of Actions in Instructional Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo; Irfan Essa (BMVC, 2021)

Adaptive Intermediate Representations for Video Understanding. - Juhana Kangaspunta; A. J. Piergiovanni; Rico Jonschkowski; Michael S. Ryoo; Anelia Angelova (CVPR Workshops, 2021)

Recognizing Actions in Videos From Unseen Viewpoints. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2021)

4D-Net for Learned Multi-Modal Alignment. - A. J. Piergiovanni; Vincent Casser; Michael S. Ryoo; Anelia Angelova (ICCV, 2021)

TokenLearner: Adaptive Space-Time Tokenization for Videos. - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (NeurIPS, 2021)

Unsupervised Action Segmentation for Instructional Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo; Irfan A. Essa (CoRR, 2021)

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (CoRR, 2021)

FindIt: Generalized Localization with Natural Language Queries. - Weicheng Kuo; Fred Bertsch; Wei Li 133; A. J. Piergiovanni; Mohammad Saffar; Anelia Angelova (ECCV (36), 2022)

Video Question Answering with Iterative Video-Text Co-tokenization. - A. J. Piergiovanni; Kairo Morton; Weicheng Kuo; Michael S. Ryoo; Anelia Angelova (ECCV (36), 2022)

Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. - A. J. Piergiovanni; Wei Li 133; Weicheng Kuo; Mohammad Saffar; Fred Bertsch; Anelia Angelova (CoRR, 2022)

Pre-training image-language transformers for open-vocabulary tasks. - A. J. Piergiovanni; Weicheng Kuo; Anelia Angelova (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 2022)

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. - Weicheng Kuo; Yin Cui; Xiuye Gu; A. J. Piergiovanni; Anelia Angelova (CoRR, 2022)

Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. - A. J. Piergiovanni; Weicheng Kuo; Anelia Angelova (CVPR, 2023)

Compound Tokens: Channel Fusion for Vision-Language Representation Learning. - Maxwell Mbabilla Aladago; A. J. Piergiovanni (Tiny Papers @ ICLR, 2023)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (ICLR, 2023)

Open-Vocabulary Object Detection upon Frozen Vision and Language Models. - Weicheng Kuo; Yin Cui; Xiuye Gu; A. J. Piergiovanni; Anelia Angelova (ICLR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

Joint Adaptive Representations for Image-Language Learning. - A. J. Piergiovanni; Anelia Angelova (CoRR, 2023)

Diversifying Joint Vision-Language Tokenization Learning. - Vardaan Pahuja; A. J. Piergiovanni; Anelia Angelova (CoRR, 2023)

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. - Weicheng Kuo; A. J. Piergiovanni; Dahun Kim; Xiyang Luo; Benjamin Caine; Wei Li 133; Abhijit S. Ogale; Luowei Zhou; Andrew M. Dai; Zhifeng Chen; Claire Cui; Anelia Angelova (Trans. Mach. Learn. Res., 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

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 (CVPR, 2024)

SLVP: Self-Supervised Language-Video Pre-Training for Referring Video Object Segmentation. - Jie Mei 003; A. J. Piergiovanni; Jenq-Neng Hwang; Wei Li 133 (WACV (Workshops), 2024)

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. - A. J. Piergiovanni; Dahun Kim; Michael S. Ryoo; Isaac Noble; Anelia Angelova (CoRR, 2024)

VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. - Dahun Kim; A. J. Piergiovanni; Ganesh Mallya; Anelia Angelova (CVPR, 2025)