Our research lab, the Precognition Lab (智能感知与预测实验室), is interested in building human-level Embodied AI systems that can effectively perceive, reason and interact with the real world for the good of humans.
Here is an up-to-date research roadmap.
Our lab's computing resources include 32 RTX 3090/4090 GPUs and a cluster of 24 A6000 GPUs with a 100TB NAS. See this post.
And we have three mobile platforms with a robot arm:
Check out our lab's cool demos.
Our lab has over 10K followers on social media:
[Rong's 知乎]
[Yujin's 知乎]
[Junwei's 知乎]
[Junwei's 小红书]
[Junwei's LinkedIn]
- 04/2024 他的代码在NASA上天,在港科广落地 [by HKUST(GZ)] [INFO Hub] [AI Thrust]
- 02/2024 华人CMU校友回国创业,自研具身智能机器人,致力于开放场景的商业化落地 [by DeepTech深科技]
- 12/2023 雅可比机器人获得2023新一代人工智能(深圳)创业大赛三等奖 [by 163 news, 雅可比机器人]
- 10/2023 Patch才是时序预测的王道? [by 圆圆的算法笔记, kaggle竞赛宝典] [Paper]
- 10/2023 TFNet:利用时间线索实现快速且精确的激光雷达语义分割 [by 自动驾驶专栏] [Paper]
- 06/2023 Honorable Mention at the International Robot Manipulation Competition, Robothon (2023机器人马拉松挑战赛) [by 香港科技大学(广州)公众号] [Robothon 2023]
- 02/2024 Serve as a panelist at the VALSE Embodied AI webinar. [VALSE] [bilibili]
- 02/2024 Co-organizing the The 6th workshop on Precognition: Seeing through the Future @CVPR 2024. [Call For Papers] [知乎] [小红书]
- 12/2023 Keynote speech at the CEII2023 Workshop [Schedule]
- 10/2023 Co-organizing the Open-world Visual Perception Workshop (“开放世界下的视觉感知和增强”主题论坛) @PRCV 2023 [Schedule]
- 01/2023 Co-organizing the The 5th workshop on Precognition: Seeing through the Future @CVPR 2023. [Call For Papers] [知乎]
- Teli Ma [Github] [Google Scholar]
- Jiaming Zhou [Google Scholar]
- Dicong Qiu [Google Scholar]
- Rong Li [知乎] [Github] [Google Scholar]
- Yujin Tang [知乎] [Github]
- Ronghe Qiu [Github]
- Jinhui Ye [Github] [Google Scholar]
- Zeying Gong [Github] [Google Scholar]
- Xiaoyu Zhu (Ph.D. student @CMU, co-advising) [Github] [Twitter] [Google Scholar]
- Xinyu Sun (Now at DJI) [Github] [Google Scholar]
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An Examination of the Compositionality of Large Generative Vision-Language Models
Teli Ma, Rong Li, Junwei LiangNAACL 2024[Paper]
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PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei LiangICLR 2024 Workshop: Tackling Climate Change with Machine Learning (Spotlight paper)
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Multi-dataset Training of Transformers for Robust Action Recognition
Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua ShenNeurIPS 2022 (Spotlight paper, 3.7% acceptance rate, 384/10411)
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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander HauptmannCVPR 2020
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Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-FeiCVPR 2019 (Translated and reported by multiple Chinese media (量子位 & 机器之心, 02/13/2019), with 30k+ views in a week.)#1 Tensorflow-based code on PaperWithCode in Trajectory Prediction task.