120 citations · 271 across the 25 of their papers we have counts for
4 papers · 2 filters
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu, Russell Kaplan, Justin Johnson +1
Recent work has shown that deep neural networks are highly sensitive to tiny perturbations of input images, giving rise to adversarial examples. Though this property is usually con…
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, Li Fei-Fei
To truly understand the visual world our models should be able not only to recognize images but also generate them. To this end, there has been exciting recent progress on generati…
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer
Joseph Suarez, Justin Johnson, Fei-Fei Li
We present a novel Dynamic Differentiable Reasoning (DDR) framework for jointly learning branching programs and the functions composing them; this resolves a significant nondiffere…
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta, Justin Johnson, Li Fei-Fei +2
Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This…