I am a PhD student in the College of Engineering and Computer Science (CECS) at the Australian National University (ANU). I am also a research student at the Australian Centre for Robotic Vision (ACRV) and the Vision-Ask-Answer-Act Lab (V3A).

I am under the supervision of Prof. Stephen Gould (ANU), Dr. Qi Wu (UoA) and Prof. Lexing Xie (ANU).

Currently, I am doing a research internship at the Creative Intelligence Lab, Adobe Research.

Prior to that, in Nov’2018, I received my bachelor degree of engineering in mechatronic systems with a first-class honours in the College of Engineering and Computer Science at ANU. In 2018, I was also a part-time research student at the Data61, CSIRO, working on human pose and shape visualization.

I have a broad research interests in computer vision, natural language processing and robotics. Currently, my main research focus is on Embodied AI, inparticular Vision-and-Language Navigation and Visual Representation Learning. I believe, E-V&L has the great potential to merge a wide range of visiolinguistic research to create an embodied interative system which is practical to assist human in real-world.

News

2022.06.19

• Attending CVPR2022 in person!!! Finally meeting so many great researchers! I have learned so much!!! ❤️❤️❤️
• Congrats to Zun Wang, Dong An and Team JoyBoy for winning the 1st Place in the Room-Across-Room (RxR) Habitat Challenge 2022!!! 😆⚡⚡ Report Certificate

2022.06.15   Visiting Professor Eric Xin Wang and the ERIC Lab at the University of California Santa Cruz! It was amazing to learn from so many young researchers! 😄

2022.05.10   Invited talk by the NLP Lab at the Fudan University, really enjoyed chatting with everyone! 😄

2022.03.28   My VLN project has been selected to be a part of the NVIDIA Academic Hardware Grant Program! 😆 Thank you so much NVIDIA for the A100 GPU grant!!! 😭😭😭

2022.03.14   I have started a research internship at the Creative Intelligence Lab in Adobe Research in San Jose, California, US!!! 😆😆😆

2022.03.02

• Our paper Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation has been accepted to CVPR 2022! 😊 I am so happy to share lots of thoughts about VLN in this paper! See you guys in New Orleans! ❤️ PDF Code
• Paper HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation by Yanyuan Qiao, Yuankai Qi, Peng Wang, Qi Wu and myself has been accepted to CVPR 2022! Congrats Yanyuan on the first paper in her PhD! 😀 PDF Code

2021.08.17   Paper The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation by Yuankai Qi, Zizheng Pan, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu and myself has been accepted to ICCV 2021! 😀 PDF Code

2021.04.10   Paper Learning Structure-Aware Semantic Segmentation with Image-Level Supervision by Jiawei Liu, Dr. Jing Zhang, Prof. Nick Barnes and myself, has been accepted to IJCNN 2021! Congrats Jiawei on his first paper in computer vision! 😀 PDF

2021.03.16   Our Thinking-VLN repo is online! Come to enjoy our immature ideas and share your thoughts! Just for FUN thinking!

2021.03.06   Our paper A Recurrent Vision-and-Language BERT for Navigation has been accepted to CVPR 2021 as an Oral paper with 3 strong accepts! 😆😆😆 PDF Code

2020.10.05   I gave a guest lecture in the Deep Learning Course at ANU (ENGN8536) about Vision and Language Research! My first lecture at Uni! Nervous and Fun! 😀 PDF

2020.09.26   Our paper Language and Visual Entity Relationship Graph for Agent Navigation has been accepted to NeurIPS 2020! 😀 PDF Code

2020.09.15   Our paper Sub-Instruction Aware Vision-and-Language Navigation has been accepted to EMNLP 2020! My first paper! 😊 PDF FGR2R Data

Research

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Yicong Hong, Zun Wang, Qi Wu, Stephen Gould
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
PDF Code

A Recurrent Vision-and-Language BERT for Navigation
Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez-Opazo, Stephen Gould
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
PDF Code

Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong, Cristian Rodriguez-Opazo, Yuankai Qi, Qi Wu, Stephen Gould
Conference on Neural Information Processing Systems (NeurIPS), 2020
PDF Code

Sub-Instruction Aware Vision-and-Language Navigation
Yicong Hong, Cristian Rodriguez-Opazo, Qi Wu, Stephen Gould
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
PDF FGR2R Data

1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
Dong An, Zun Wang, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao
Room-Across-Room (RxR) Habitat Challenge (CVPR Embodied AI Workshop), 2022
PDF Code

HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
Yanyuan Qiao, Yuankai Qi, Yicong Hong, Zheng Yu, Peng Wang, Qi Wu
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
PDF Code

The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu
International Conference on Computer Vision Systems (ICCV), 2021
PDF Code