Taein Kwon
@taeinkwon1
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Postdoc fellow at VGG, Oxford. Working on Video Understanding, Augmented Reality and Hand Object Interaction
Oxford, England
Joined November 2021
RT @ChuanxiaZ: After two amazing years with @Oxford_VGG, I will be joining @NTUsg as a Nanyang Assistant Professor in Fall 2025! . I’ll be….
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RT @paulstreli: EgoPressure at @CVPR 2025 (Highlight)!. w/ @_yimzhao_ , @taeinkwon1 , @mapo1 , @cholz . 🌍 Project page: .
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RT @jianyuan_wang: Thrilled and honored to receive the Best Paper Award at #CVPR2025! Huge thanks to my fantastic collaborators @MinghaoChe….
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RT @Oxford_VGG: Many Congratulations to @jianyuan_wang, @MinghaoChen23, @n_karaev, Andrea Vedaldi, Christian Rupprecht and @davnov134 for w….
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RT @Oxford_VGG: Congratulations to @taeinkwon1 and the Team for presenting their work "A Dataset for Hand Pressure and Pose Estimation in E….
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RT @famesener: Join our @CVPR panel discussion on Vision-based Assistants with Mike Shou, Kate Saenko, Angela Yao and Marc Pollefeys modera….
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RT @SindhuBHegde: Introducing JEGAL👐.JEGAL can match hand gestures with words & phrases in speech/text. By only looking at hand gestures, J….
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RT @Tara_Boroushaki: Excited to announce that I'm joining Yale as an Assistant Prof in ECE! I’m building a research group and hiring passio….
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Thank you so much for our team's contributions:.@xinw_ai, Mahdi Rad, Bowen Pan, Ishani Chakraborty,.@seanandrist, @danbohus,.@AshleyFeniello, Bugra Tekin, Felipe Vieira Frujeri,.@neelsj, and @mapo1 !.
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I am deeply honored and grateful for this recognition from the community. We remain dedicated to advancing assistive AI. Stay tuned for more exciting developments and research in egocentric computer vision from us!.
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🏆 I am very excited to announce that our paper, HoloAssist (, has been selected for the EgoVis 2022/2023 Distinguished Paper Award @ CVPR'24.
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Thank our amazing co-authors and challenge organizers, @xinw_ai, Mahdi Rad, Bowen Pan, Ishani Chakraborty, @seanandrist, @danbohus, @AshleyFeniello, Bugra Tekin, Felipe Vieira Frujeri,.@neelsj, and @mapo1 !.
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The dataset and associated challenges will be an excellent starting point for anyone interested in assistive AI, action recognition, procedural videos, and AR/VR/MR applications!.
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For detailed information about challenges, please visit the Egovis workshop site ( and explore the HoloAssist page (.
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In the workshop, our HoloAssist dataset will host three challenges, witha deadline of June 5th, 2024: .- Action Recognition.- Mistake Detection.- Intervention Type Prediction.The results of these challenges will be presented at the EgoVis workshop during CVPR2024.
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Our dataset covers:.- 166 hours of data.- 2,221 sessions.- 350 unique instructor-performer pairs.- 16 objects with different shapes and functions.- 20 object-centric manipulation tasks.- 8 modalities (RGB, hand pose, depth, head pose, eye gaze, audio, IMU, summary/action labels).
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Through the challenges, we gain key insights into how human assistants correct mistakes, intervene in task completion procedures, and ground their instructions in the environment.
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