Search Results for author: Arkanath Pathak

Found 3 papers, 1 papers with code

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

no code implementations NeurIPS 2019 Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

Predicting future video frames is extremely challenging, as there are many factors of variation that make up the dynamics of how frames change through time.

Optical Flow Estimation Video Prediction

Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations

1 code implementation24 Aug 2017 Xinchen Yan, Jasmine Hsu, Mohi Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee

Our contributions are fourfold: (1) To best of our knowledge, we are presenting for the first time a method to learn a 6-DOF grasping net from RGBD input; (2) We build a grasping dataset from demonstrations in virtual reality with rich sensory and interaction annotations.

3D Geometry Prediction 3D Shape Modeling +1

A Two-Phase Approach Towards Identifying Argument Structure in Natural Language

no code implementations WS 2016 Arkanath Pathak, Pawan Goyal, Plaban Bhowmick

We also propose two baselines and observe that the proposed approach outperforms baseline systems for the final task of Structure Prediction.

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