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Research
My research interests lie in Computer Vision and Machine Learning. I’m particularly interested in hand-object interaction under the First-Person perspective and aim to leverage Egocentric Vision to model daily activities and social behaviors to help understand the interaction between humans and their surrounding world.
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News
01.2023 I'll be interning at Meta Reality Labs in summer 2023! ♾️👩💻
10.2022 I attended ECCV 22 in person @ Tel-Aviv, Israel. Had so much fun in the Dead Sea! 🌊
10.2022 I give a poster presentation at HBHA@ECCV22 workshop, thanks for having me! 😊
10.2022 I give a poster presentation at HANDS@ECCV22 workshop, thanks for having me! 🤓
09.2022 I give a poster presentation at 2nd International Ego4D Workshop@ECCV 2022, thanks for having me! 🫡
08.2022 One journal paper accepted by TNNLS! 🎉
07.2022 One paper accepted by ECCV '22 Hi Israel!! 🎉✡️
06.2022 I attended CVPR 22 in person and got covid 😕
04.2022 I've accepted my CS PhD offer at Georgia Tech! 🐝🐝🐝
04.2022 Our Ego4D challenges are alive now! Come join us on the leaderboard! 🏆🚩
03.2022 Our Ego4D paper has been accepted by CVPR '22 and selected for an oral presentation! 🥂
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Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games
Bolin Lai,
Hongxin Zhang,
Miao Liu,
Aryan Pariani,
Fiona Ryan,
Wenqi Jia,
James Rehg†,
Diyi Yang†
ACL Findings, 2023
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Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
Wenqi Jia,
Miao Liu,
James Rehg†
ECCV, 2022
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(⇐ Move your cursor on the image for a short demo video!)
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Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, et al.
CVPR, 2022 (Oral)
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Paying More Attention to Motion:
Attention Distillation for Learning Video Representations
Miao Liu,
Wenqi Jia,
Xin Chen,
Yun Zhang,
Yin Li,
James Rehg†
IJCV, 2021 (Special Issue) (under review)
arXiv /
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Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent
First-Person and Third-Person Activity Recognition
Tianshan Liu,
Wenqi Jia,
Rui Zhao,
Kin-Man Lam†,
Jun Kong
TNNLS, 2022
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Feature Redundancy Mining: Deep Light-Weight Image Super-Resolution Model
Jun Xiao,
Wenqi Jia,
Kin-Man Lam†
ICASSP, 2021
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Deep progressive convolutional neural network for blind super-resolution with multiple degradations
Jun Xiao,
Rui Zhao,
Shun-Cheung Lai,
Wenqi Jia,
Kin-Man Lam†
ICIP, 2019
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bibtex
View extrapolation with multiplane images works better if you reason about disocclusions and disparity sampling frequencies.
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Academic Service and Honor
- Reviewer 🔎, CVPR '22, '23, ECCV '22
- First Runner Up 🥈, IEEE Video and Image Processing Cup (VIP Cup) 2017
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Volunteer Work
- Certified First Responder 🚑, Hong Kong Red Cross, Jun 2015 - Jun 2019
- General Secretary 🤹♀️, Exploring Hong Kong Community (EHKC), Jan 2017 - Jan 2018
- International Volunteer 🤝, Service Learning Project in Cambodia, Jun 2016
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