Saurav Sharma

I am a 3rd year PhD student in the CAMMA group supervised by Prof. Nicolas Padoy. I am primarily working on surgical scene understanding for computer assisted surgery systems.

Previously, I worked as a Senior Data Scientist at Inference Labs. I also did a research internship at INRIA Sophia-Antipolis and worked on video based action understanding. Prior to internship, I was a Senior Data Analyst at Kantar. I did my masters from NIT Rourkela and bachelors from Tezpur University with specialization in Computer Science.

Research

I'm interested in holistic scene understanding that can be useful for multiple downstream tasks. My research goal is to understand and analyze how spatio-temporal scene context can help capture action dynamics. I am also curious about complex interplay of inputs coming from different modalities.

News

Lecture on foundations of surgical action triplets at Surgical Data Science Summer School at IHU Strasbourg, France in July 2025.

Lecture on current status of surgical action triplets at DKFZ Heidelberg, Germany in April 2025.

IPCAI/IJCARS'2025 paper on surgical operative difficulty assessment.

MICCAI'2023 paper on surgical triplet detection.

IPCAI/IJCARS'2023 paper on temporal approach for surgical triplet recognition.

Co-organized CholecTriplet Challenge'2022 held at MICCAI'2022, Singapore.

Started PhD in the Camma Group on surgical video understanding in 2022.

TPAMI'2022 paper on Toyota Smarthomes Untrimmed Dataset For Action Detection. (Work done as a part of research internship in INRIA)

ECCV'2020 on Learning Video-Pose Embedding for Activities of Daily Living (Work done as a part of research internship in INRIA)

Graduated in Computer Science with a specialization in Computer Vision from NIT, Rourkela, India in 2017.

Recent Publications (representative papers are highlighted)

Last updated: July 2025

Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis Saurav Sharma, Maria Vannucci, Leonardo Pestana Legori, Mario Scaglia, Giovanni Guglielmo Laracca, Didier Mutter, Sergio Alfieri, Pietro Mascagni, Nicolas Padoy. International Journal of Computer Assisted Radiology and Surgery, 2025 webpage \| paper
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy. 26^th International Conference on Medical Image Computing and Computer Assisted Intervention, 2023 webpage \| paper
Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy. International Journal of Computer Assisted Radiology and Surgery, 2023 webpage \| paper
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy. webpage \| paper
	Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection Rui Dai, Srijan Das, Saurav Sharma, Luca Minciullo, Lorenzo Garattoni, Francois Bremond, Gianpiero Francesca. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 project page
VPN: Learning Video-Pose Embedding for Activities of Daily Living Srijan Das, Saurav Sharma, Rui Dai, Francois Bremond, Monique Thonnat. 16th European Conference on Computer Vision, 2020 webpage
	DenseNet with pre-activated deconvolution for estimating depth map from single image Saurav Sharma, Ram Prasad Padhy, Suman Choudhury, Nabarun Goswami, Pankaj Sa. 5th Activity monitoring by multiple distributed sensing (AMMDS) Workshop under BMVC, London, 2017 Master's Thesis \| paper

Conferences, Workshops & Summer Schools

Teaching

Jan 2017 - Apr 2017 Teaching Assistant for CS 172 Computing Laboratory-II at NIT Rourkela.
Aug 2016 - Nov 2016 Teaching Assistant for CS 171 Computing Laboratory-I at NIT Rourkela.

Education

	University of Strasbourg Ph.D. Computer Science, 2022 - Present

	NIT Rourkela M.Tech. Computer Science and Engineering, 2015 - 2017

	Tezpur University B.Tech. Computer Science and Engineering, 2008 - 2012

Take a look at this website