Dong (Carlo) An Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academic of Sciences (CASIA) Email: andong2019 AT ia.ac.cn

About Me

I'm currently a PhD candidate at Institute of Automation, Chinese Academy of Sciences (CASIA), supervised by Prof. Tieniu Tan, Prof. Liang Wang and Prof. Yan Huang. Prior to that, I received the Bachelor degree from Peking University (PKU) in 2019, and interned at SenseTime and Huawei 2012 Lab. My research interests mainly lie in the intersection of deep learning and robotics, with a focus on Embodied AI and Multimodal Learning.

Publications

• ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments

  Dong An, Hanqing Wang, Wenguan Wang, Zun Wang, Yan Huang, Keji He, Liang Wang

  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [Paper] [Code]

• BEVBert: Multimodal Map Pre-training for Language-guided Navigation

  Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao

  International Conference on Computer Vision (ICCV), 2023. [Paper] [Code]

• 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition

  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. [Paper]

• Neighbor-view Enhanced Model for Vision and Language Navigation

  Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, Tieniu Tan

  ACM International Conference on Multimedia (ACM MM), 2021. (Oral) [Paper] [Code]

• Memory-Adaptive Vision-and-Language Navigation

  Keji He, Ya Jing, Yan Huang, Zhihe Lu, Dong An, Liang Wang

  Pattern Recognition (PR), 2024. [Paper]

• Target-Grounded Graph-Aware Transformer for Aerial Vision-and-Dialog Navigation

  Yifei Su, Dong An, Yuan Xu, Kehan Chen, Yan Huang

  Aerial Vision-and-Dialog Navigation (AVDN) Challenge (ICCV CLVL Workshop), 2023. [Paper] [Code]

• Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization

  Lei Cui, Yangguang Li, Xin Lu, Dong An, Fenggang Liu

  British Machine Vision Conference (BMVC), 2022. [Paper]

• Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision

  Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, Liang Wang

  Advances in Neural Information Processing Systems (NeurIPS), 2021. [Paper] [Code]

Competitions

Aerial Vision-and-Dialogue Navigation Challenge @ ICCV 2023 . Our team susanping (Yifei Su, Dong An, Yuan Xu, Kehan Chen, Yan Huang) is the winner. See details here: Results of AVDN Challenge 2023.

RxR-Habitat Vision-and-Language Navigation Challenge @ CVPR 2022 . Our team Joyboy (Dong An*, Zun Wang*, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao) is the winner. See details here: Results of RxR-Habitat 2022.

REVERIE Challenge @ CSIG 2022. Our team TouchFish (Dong An, Yifei Su, Shuanglin Sima, Hongyuan Yu, Weichen Yu, Yan Huang) is the runner-up of both channels. See details here: Results of REVERIE Challenge 2022.

Learning and Mining with Noisy Labels Challenge @ IJCAI-ECAI 2022. Our team (Weichen Yu, Hongyuan Yu, Yan Huang, Dong An, Keji He, Zhipeng Zhang, Xiuchuan Li, Liang Wang) is the runner-up of task 1-1 and 2nd runner-up of task 1-2. See details here: Results.

Professional Activities

• Winner invited talk at Embodied AI Workshop @ CVPR 2022

• Reviewer: ACM MM'21, IJCAI'23, NeurIPS'23, AAAI'24, CVPR'24, ECCV'24

Honors and Awards

• 2023, Winner of AVDN Challenge, ICCV 2023 [AVDN Certificate]

• 2022, Winner of RxR-Habitat Challenge, CVPR 2022 [RxR-Habitat Certificate]

• 2022, Runner-up of REVERIE Challenge, CSIG 2022 [REVERIE Certificate_1] [REVERIE Certificate_2]

• 2022, Runner-up of Learning and Mining with Noisy Labels Challenge, IJCAI-ECAI 2022 [Noisy-Labels Certificate]

• 2021, Outstanding Student of CAS

Any sufficiently advanced technology is indistinguishable from magic. -- Arthur C. Clarke

Next token prediction is actually a much deeper question than it seems. -- Ilya Sutskever