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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
🌽🌽🌽🌽🌽🌽🌽
04.2024 Passed my Qualifier!🧐 I will transfer to UIUC in Fall 24. 🌽🌽🌽🧐🌽🌽🌽
🌽🌽🌽🌽🌽🌽🌽
02.2024 One paper accepted by CVPR '24! Check out the AV-CONV!! 🎉🤹♀️
01.2023 I'll be interning at Meta Reality Labs in summer 2023! ♾️👩💻
08.2022 One journal paper accepted by TNNLS! 🎉
07.2022 One paper accepted by ECCV '22!! 🎉✡️
04.2022 I've accepted my CS PhD offer at Georgia Tech. 🐝🐝🐝
03.2022 Our Ego4D paper has been accepted by CVPR '22 as an oral paper! 🥂
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[New!] The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
Wenqi Jia,
Miao Liu,
Hao Jiang,
Ishwarya Ananthabhotla,
James Rehg†,
Vamsi Krishna Ithapu†,
Ruohan Gao†
CVPR, 2024
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paper /
code /
dataset (under internal review) /
bibtex
(⇐ Move your cursor on the image for a short demo video!)
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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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paper /
bibtex
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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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paper /
code /
supplement /
poster /
video /
bibtex
(⇐ 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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paper /
code /
dataset /
video /
bibtex
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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 /
code /
bibtex
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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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bibtex
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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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bibtex
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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
paper /
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, '24, 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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