Seenivasan Lalithkumar

According to our database, Seenivasan Lalithkumar authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery.

Long Bai, Guankun Wang, Mobarakol Islam, Lalithkumar Seenivasan, An Wang, Hongliang Ren

Inf. Fusion, 2025

2024

SimCol3D - 3D reconstruction during colonoscopy challenge.

Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Rawen Kader, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, Laurence B. Lovat, José M. M. Montiel, Danail Stoyanov

Medical Image Anal., 2024

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution.

Corban Rivera, Grayson Byrd, William Paul, Tyler Feldman, Meghan Booker, Emma Holmes, David Handelman, Bethany Kemp, Andrew Badger, Aurora Schmidt, Krishna Murthy Jatavallabhula, Celso M. de Melo, Lalithkumar Seenivasan, Mathias Unberath, Rama Chellappa

CoRR, 2024

StraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion.

Han Zhang, Benjamin D. Killeen, Yu-Chun Ku, Lalithkumar Seenivasan, Yuxuan Zhao, Mingxu Liu, Yue Yang, Suxi Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath

CoRR, 2024

Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance.

Hongchao Shu, Mingxu Liu, Lalithkumar Seenivasan, Suxi Gu, Ping-Cheng Ku, Jonathan Knopf, Russell H. Taylor, Mathias Unberath

CoRR, 2024

Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models.

Hao Ding, Lalithkumar Seenivasan, Hongchao Shu, Grayson Byrd, Han Zhang, Pu Xiao, Juan Antonio Barragan, Russell H. Taylor, Peter Kazanzides, Mathias Unberath

CoRR, 2024

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge.

Hao Ding, Tuxun Lu, Yuqian Zhang, Ruixing Liang, Hongchao Shu, Lalithkumar Seenivasan, Yonghao Long, Qi Dou, Cong Gao, Mathias Unberath

CoRR, 2024

2023

Paced-curriculum distillation with prediction and label uncertainty for image segmentation.

Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren

Int. J. Comput. Assist. Radiol. Surg., October, 2023

PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?

Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Manoru Mitsuishi, Pierre Jannin

Comput. Methods Programs Biomed., June, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.

Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy

Medical Image Anal., May, 2023

Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding.

Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu, Chwee Ming Lim, Hongliang Ren

Int. J. Comput. Assist. Radiol. Surg., May, 2023

SimCol3D - 3D Reconstruction during Colonoscopy Challenge.

Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov

CoRR, 2023

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.

Long Bai, Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren

CoRR, 2023

SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery.

Lalithkumar Seenivasan, Mobarakol Islam, Gokul Kannan, Hongliang Ren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Surgical-VQLA:Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.

Long Bai, Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks.

Winnie Pang, Mobarakol Islam, Sai Mitheran, Lalithkumar Seenivasan, Mengya Xu, Hongliang Ren

IEEE Robotics Autom. Lett., 2022

Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding.

Seenivasan Lalithkumar, Sai Mitheran, Mobarakol Islam, Hongliang Ren

IEEE Robotics Autom. Lett., 2022

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?

Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Mamoru Mitsuishi, Pierre Jannin

CoRR, 2022

Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer.

Lalithkumar Seenivasan, Mobarakol Islam, Adithya K. Krishna, Hongliang Ren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition.

Mobarakol Islam, Seenivasan Lalithkumar, Hongliang Ren, Ben Glocker

CoRR, 2021

ScoopNet: 6DOF Pose Estimation pipeline for Origami-inspired Worm Robots.

Rohit Lal, Ruphan Swaminathan, Seenivasan Lalithkumar, Liang Qiu, Hongliang Ren

Proceedings of the IEEE International Conference on Development and Learning, 2021

2020

Stent Deployment Detection Using Radio Frequency-Based Sensor and Convolutional Neural Networks.

Mengya Xu, Seenivasan Lalithkumar, Leonard Leong Litt Yeo, Hongliang Ren

Adv. Intell. Syst., 2020

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery.

Mobarakol Islam, Seenivasan Lalithkumar, Lim Chwee Ming, Hongliang Ren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

Pilot study and design conceptualization for a slim single-port surgical manipulator with spring backbones and catheter-size channels.

Hongliang Ren, Cai Xin Chen, Catherine Jiayi Cai, Krishna Ramachandra, Seenivasan Lalithkumar

Proceedings of the IEEE International Conference on Information and Automation, 2017