Vishal Bhutani — accepted AI-conference papers

2022

Attentive One-Shot Meta-Imitation Learning From Visual Demonstration

Vishal Bhutani, Anima Majumder, Madhu Vankadari, Samrat Dutta, Aaditya Asati, Swagat Kumar

ICRA 2022poster

The ability to apply a previously-learned skill (e.g., pushing) to a new task (context or object) is an important requirement for new-age robots. An attempt is made to solve this problem in this paper by proposing a deep meta-imitation learning framework comprising of an attentive-embedding net-work…

Cited by 3 Source ↗Scholar ↗

2020

Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference

Vishal Bhutani, Madhu Vankadari, Omprakash Jha, Anima Majumder, Swagat Kumar, Samrat Dutta

IROS 2020poster

In this paper, we propose an unsupervised deep learning framework with Bayesian inference for improving the accuracy of per-pixel depth prediction from monocular RGB images. The proposed framework predicts confidence map along with depth and pose information for a given input image. The depth hypoth…

Cited by 7 Source ↗Scholar ↗