Team Registration Records
Kaggle submissions closed on September 15, 2026. The registration form remains available for existing participating teams to provide organizer contact records; it does not reopen Kaggle entries or extend any deadline. For corrections or finals logistics, email cuhkx.competition@gmail.com. Your registered team name must exactly match your Kaggle team name so certificates and notifications can be matched correctly.
Existing Teams — Registration Records
Provide team contact information for certificates, finals logistics, and prize coordination. This organizer form does not create a new Kaggle competition entry.
- Team Name
- Contact Email
- Affiliation
- Country / Region
- Track(s) of interest
- Team Members (1–3)
- Faculty Advisor
Kaggle track pages (submissions closed)
Lightweight HAR
Multimodal action recognition under resource constraints. Build efficient CNN / RNN / Transformer architectures — no large pretrained backbones permitted.
View Competition →VQA · HAU & HARn
Vision-language models on depth and non-RGB modalities. Tackle 6,160 VQA questions across five reasoning types — no parameter limit.
View Competition →Original Registration Steps (Kaggle Phase Closed)
Create Kaggle Account
Sign up at kaggle.com and verify your email address.
Join Competition
Accept the competition rules on one or both Kaggle pages.
Form Your Team
Solo entry or up to 3 members. Merge teams via Kaggle's UI before deadline.
Download & Submit
Access the dataset, train your model, and submit predictions to the leaderboard.
Eligibility
- Open to students, researchers, and industry teams worldwide
- Cross-institution and cross-country teams are permitted
- Members of the AIoT Lab and direct collaborators are ineligible for prizes
- Participants must comply with Kaggle's terms of service
Team Rules
- Team size: 1–3 members (faculty advisor not counted)
- Each individual may join only one team per track
- Participation in both tracks is allowed
- Team mergers lock 7 days before the submission deadline