Deepak Gopinath

Deepak is a research engineer working broadly on Creative AI at FAIR Pittsburgh, focusing on human motion modeling. In the past, he has worked on language technology, specifically machine translation and speech translation. Prior to Facebook, he worked full time at LinkedIn and interned at Microsoft Research and Amazon. He holds a master's degree from Language Technologies Institute at Carnegie Mellon University.

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Deepak's Work

Deepak's Publications



A Scalable Approach to Control Diverse Behaviors for Physically Simulated Character

Human characters with a broad range of natural looking and physically realistic behaviors will enable the construction of compelling interactive experiences. In this paper, we develop a technique for learning controllers for a large set of heterogeneous behaviors. By dividing a reference library of motion into clusters of like motions, we are able to construct experts, learned controllers that can reproduce a simulated version of the motions in that cluster.…

Jungdam Won, Deepak Gopinath, Jessica Hodgins