Curriculum Design for Teaching via Demonstrations: Theory and Applications

1 code implementation • NeurIPS 2021 • Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla

In particular, we study how to design a personalized curriculum over demonstrations to speed up the learner's convergence.

Decision Making Reinforcement Learning (RL)

Future-State Predicting LSTM for Early Surgery Type Recognition

no code implementations • 28 Nov 2018 • Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

This work presents a novel approach for the early recognition of the type of a laparoscopic surgery from its video.

Vocal Bursts Type Prediction

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks

no code implementations • 22 May 2018 • Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

In this work, we propose a new self-supervised pre-training approach based on the prediction of remaining surgery duration (RSD) from laparoscopic videos.

Management Surgical phase recognition

RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

1 code implementation • 9 Feb 2018 • Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

In this paper, we propose a deep learning pipeline, referred to as RSDNet, which automatically estimates the remaining surgery duration (RSD) intraoperatively by using only visual information from laparoscopic videos.