163 citations · 676 across the 18 of their papers we have counts for
6 papers · 1 filter
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten +3
When building artificial intelligence systems that can reason and answer questions about visual data, we need diagnostic tests to analyze our progress and discover shortcomings. Ex…
Recurrent Attention Models for Depth-Based Person Identification
Albert Haque, Alexandre Alahi, Li Fei-Fei
We present an attention-based model that reasons on human body shape and motion dynamics to identify individuals in the absence of RGB information, hence in the dark. Our approach…
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality
Kenji Hata, Ranjay Krishna, Li Fei-Fei +1
Microtask crowdsourcing is increasingly critical to the creation of extremely large datasets. As a result, crowd workers spend weeks or months repeating the exact same tasks, makin…
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 (…
Visual Relationship Detection with Language Priors
Cewu Lu, Ranjay Krishna, Michael Bernstein +1
Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possi…
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
De-An Huang, Li Fei-Fei, Juan Carlos Niebles
We propose a weakly-supervised framework for action labeling in video, where only the order of occurring actions is required during training time. The key challenge is that the per…