163 citations · 273 across the 10 of their papers we have counts for
3 papers · 1 filter
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4
Two less addressed issues of deep reinforcement learning are (1) lack of generalization capability to new target goals, and (2) data inefficiency i.e., the model requires several (…
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding
Roozbeh Mottaghi, Sanja Fidler, Alan Yuille +2
Recent trends in image understanding have pushed for holistic scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape…
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu +3
Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle large deformations and…