… UCF-HMDB dataset and EPIC-Kitchens-55 dataset. Our … , we propose a Cross-modal
Interactive Alignment (CIA) model … We apply adversarial domain alignment on three transferability …

… propose an adversarial learning framework that pits an adversary against the robot learning
the task. In an effort to defeat the adversary, the … To train P1 w, we again use the dataset {D1 …

… drivers’ interaction capabilities, oriented towards the interactive process … From the processed
Waymo Open Motion Dataset, we … with generative adversarial networks.” In 2020 IEEE 23rd …

… , we utilize generative adversarial imitation learning (GAIL) [26], … motion dataset with a special
focus on strategic interactions … Large scale interactive motion forecasting for autonomous …

… of adversarial interaction, … interactive intention, and do not apply to the specific group of
human and robot. Therefore, we establish the antithesis interactive intention prediction data set …

… the underlying interaction graph, … Open Motion Dataset [20] provides a joint prediction track
that focuses only on the given pair of interactive agent p(s1, s2); The INTERACTION dataset […

… , or cooperative, perception, which exploits the interaction … -agent interaction by performing
sparse global interactions and local … By studying adversarial robustness, we can enhance the …

… these interaction protocols automatically from interactions with … , among which are Generative
Adversarial Networks (GANs) [12] … a VAE on a dataset of multi-touch interaction gestures, in …

… , which are generated by interacting with the environment using … Additionally, the statistics
of the extracted datasets used in … to no-regret online learning. In Proceedings of the fourteenth …

… to capture the multimodal interactive behaviors, we use a … both the INTERACTION dataset
and the RounD/InD dataset. The … prediction via adversarial learning,” in IEEE Int. Conf. Robot. …