  In this report, we present our champion solutions to five tracks at Ego4D
challenge. We leverage our developed InternVideo, a video foundation model, for
five Ego4D tasks, including Moment Queries, Natural Language Queries, Future
Hand Prediction, State Change Object Detection, and Short-term Object
Interaction Anticipation. InternVideo-Ego4D is an effective paradigm to adapt
the strong foundation model to the downstream ego-centric video understanding
tasks with simple head designs. In these five tasks, the performance of
InternVideo-Ego4D comprehensively surpasses the baseline methods and the
champions of CVPR2022, demonstrating the powerful representation ability of
InternVideo as a video foundation model. Our code will be released at
https://github.com/OpenGVLab/ego4d-eccv2022-solutions
