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Chen Chen

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OPPO Research Institute

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Shanghai, CN

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Predict viewer reactions from a large-scale video dataset!

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Detect Multi-Animal Behaviors from a large, hand-labeled dataset.

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Multi-Agent Behavior: Representation, Model-17508f

Status Error for Task2/3 submission

Almost 3 years ago

Hi Jyotish,

It’s ok now. Thanks for your help!

Visual Analysis of Humans

Status Error for Task2/3 submission

Almost 3 years ago

Hi Organizer,

Our last 3 submissions in Task2/3 are still β€œevaluating”. Could you help to rerun the result on your side. It’s the last 3 submissions for our team which are very important.

Thanks,
Visual Analysis of Humans

Visual Analysis of Humans Team (OPPO Research Institute) @CVPR21 workshop ---- MABE task1-3 (2nd, 3rd, 1st): https://www.aicrowd.com/challenges/multi-agent-behavior-representation-modeling-measurement-and-applications/leaderboards ---------------- EEV (4th) https://www.aicrowd.com/challenges/evoked-expressions-from-videos-challenge-cvpr-2021/leaderboards ----------------------------------------------------- AVA-Kinetics (3rd) http://activity-net.org/challenges/2021/evaluation.html ------------- SoccerNet-V2 Action Spotting (2nd) https://eval.ai/web/challenges/challenge-page/761/leaderboard/2074 ------------------------------------------------------------ SoccerNet-V2 Replay Grounding (2nd) https://eval.ai/web/challenges/challenge-page/761/leaderboard/2075 ------------------------------------------------------------ LOVEU task1.1 (3rd): https://competitions.codalab.org/competitions/30309#results LOVEU task1.2 (3rd): https://competitions.codalab.org/competitions/30452#results MMact T1 (2nd) https://competitions.codalab.org/competitions/31438 ----------------- MMact T2 (2nd) https://competitions.codalab.org/competitions/31385#results aicitychallenge City-Scale Multi-Camera Vehicle Re-Identification (3rd intern's work @sjtu) https://www.aicitychallenge.org/2021-challenge-tracks/ -------------------------- aicitychallenge City-Scale Multi-Camera Vehicle Tracking (3rd intern's work @sjtu) https://www.aicitychallenge.org/2021-challenge-tracks/