23 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Hi-Light: A Path to high-fidelity, high-resolution video relighting with a Novel Evaluation Paradigm
Xiangrui Liu, Haoxiang Li, Yezhou Yang
Video relighting offers immense creative potential and commercial value but is hindered by challenges, including the absence of an adequate evaluation metric, severe light flickeri…
cs.AI2018
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
Xin Ye, Zhe Lin, Haoxiang Li +2
We study the problem of learning a navigation policy for a robot to actively search for an object of interest in an indoor environment solely from its visual inputs. While scene-dr…
cs.RO2018★ 23 cited
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
Kaichun Mo, Haoxiang Li, Zhe Lin +1
Deep reinforcement learning (DRL) demonstrates its potential in learning a model-free navigation policy for robot visual navigation. However, the data-demanding algorithm relies on…