no code implementations • ECCV 2018 • Haoshuo Huang, Qi-Xing Huang, Philipp Krahenbuhl
We introduce a layer-wise unsupervised domain adaptation approach for the task of semantic segmentation.
no code implementations • WS 2019 • Haoshuo Huang, Vihan Jain, Harsh Mehta, Jason Baldridge, Eugene Ie
Vision-and-Language Navigation (VLN) is a natural language grounding task where agents have to interpret natural language instructions in the context of visual scenes in a dynamic environment to achieve prescribed navigation goals.
no code implementations • ICCV 2019 • Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie
Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) require machine agents to interpret natural language instructions and learn to act in visually realistic environments to achieve navigation goals.
Ranked #115 on Vision and Language Navigation on VLN Challenge
1 code implementation • 6 Dec 2019 • Larry Lansing, Vihan Jain, Harsh Mehta, Haoshuo Huang, Eugene Ie
VALAN is a lightweight and scalable software framework for deep reinforcement learning based on the SEED RL architecture.