Shivanand Venkanna Sheshappanavar

Dr. Shivanand Sheshappanavar is a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Wyoming. Dr. Sheshappanavar earned a Ph.D. in Computer and Information Sciences from the University of Delaware, where the doctoral research was conducted in the VIMS Laboratory under the supervision of Dr. Chandra Kambhamettu. In 2018, Dr. Sheshappanavar completed a Master’s degree in Computer Science at Syracuse University, New York. Prior to that, from 2012 to 2016, Dr. Sheshappanavar worked as an IT Consultant at Oracle India Private Limited. Additionally, Dr. Sheshappanavar holds a Master’s degree in Computer Science and Engineering from RVCE (2012) and a Bachelor’s degree in Computer Science and Engineering from MSRIT (2009) from Bengaluru, Karnataka, India.

Dr. Sheshappanavar’s primary research interests lie in 3D computer vision and large (vision/multimodal) language models, with applications spanning grocery recognition for the visually impaired, controlled-environment agriculture, and digital humanities.

Recent News:

May 2026 Congratulations to Nabaraj Subedi for paper acceptance at 3D-LLM/VLA Workshop, CVPR 2026
May 2026 Congratulations to Joana Owusu for defending her MS Thesis successfully!
April 2026 Congratulations to Joana Owusu for CVPR26 Broadening Participation Scholarship Award!
March 2026 Congratulations to Aashish Pokhrel, Bipin Ghimire, and Prashanna Mani Paudel for paper acceptance at ICPR 2026
March 2026 Congratulations to Michael Elgin for paper acceptance at ICPR 2026
March 2026 Congratulations to Shreyas Muragodmath and Michael Elgin for paper acceptance at CVPR 2026 3rd MetaFood workshop
March 2026 Congratulations to Joana Owusu for paper acceptance at CVPR 2026 Women in Computer Vision workshop
March 2026 Congratulations to Aashish Pokhrel for paper acceptance at CVPR 2026 Workshop Grounded Retrieval and Agentic Intelligence for Vision-Language
January 2026 Congratulations to Jasmine Vu for paper acceptance at WACV 2026 Workshop Pixels to Patients

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Assistant Professor University of Wyoming 2023 - present	PhD, CS University of Delaware 2018 - 2023	MS, CS Syracuse University 2016 - 2018	IT Consultant Oracle 2012 - 2016	Research Intern Infineon 2011 - 2012

Post-doc

Xiao Yang (Oct 2025 - present)

Students

Michael Elgin (PhD in CS, May 2024 - present)
Joana Konadu Owusu (PhD in CS, May 2026 - present)
Aashish Pokhrel (MS in CS, Aug 2025 - present)
Bipin Ghimire (MS in CS, Aug 2025 - present)
Prashanna Mani Paudel (MS in AI, Aug 2025 - present)
Toyio Udoete (MS in AI, Nov 2025 - present)
Nabaraj Subedi (MS in CS, Dec 2025 - present)

Graduates

Joana Konadu Owusu (MS in CS, Aug 2024 - May 2026)

Resources

In cluster
Five nodes of 8xH100 GPUs (total 40 H100 GPUs).
Six nodes of 8xL40 GPUs (total 48 L40 GPUs).
Eight nodes of 8xA30 GPUs (total 64 A30 GPUs).
Lab owned
One node of 4xL40 GPUs
One node of 4xA6000 GPUs
One Workstation of 2xA6000 GPUs
One Workstation of 4xADA A6000 GPUs.

Research

My research interests include developing deep learning algorithms for 3D computer vision problems and creating end-to-end solution pipelines. My long-term goal is to develop a wearable assistant for the visually impaired, helping them navigate the real world.

Unsolvable Problem Detection and Trustworthy Reasoning in 3D-LLMs
Michael Elgin, Shivanand Venkanna Sheshappanavar
International Conference on Pattern Recognition, Lyon, France, 2026
[Paper] [Code]

Negation in Vision-Language Models: A Survey
Aashish Pokhrel, Bipin Ghimire, Prashanna Mani Paudel, Shivanand Venkanna Sheshappanavar
International Conference on Pattern Recognition, Lyon, France, 2026
[Paper] [Code]

SAM3Count for Zero-Shot Open Vocabulary Counting in Images and Videos
Joana Owusu, Shivanand Venkanna Sheshappanavar
Women in Computer Vision Workshop, CVPR 2026, Denver, CO, USA
[Paper] [Code]

Negation Matters: Training-Free Negation-Aware Image Retrieval
Aashish Pokhrel, Shivanand Venkanna Sheshappanavar
GRAIL-V Workshop, CVPR 2026, Denver, CO, USA
[Paper coming soon] [Code]

	Improving Negation Understanding in Medical Vision–Language Models via Contrastive Fine-Tuning Jasmine Vu, Shivanand Venkanna Sheshappanavar Workshop Pixels to Patients in Computer Vision, WACV 2026, Tucson, AZ, USA [Paper] [Code coming soon]
	Grocery in the Wild: A Benchmark Dataset for NeRF and 3D Gaussian Splatting Shreyas Murugodmath, Michael Elgin, Shivanand Venkanna Sheshappanavar 3rd Workshop on MetaFood Workshop in CVPR 2026, Denver, CO, USA [paper coming soon] [project page]
	Can 3D-LLMs Say “There is no correct answer”? Benchmarking for Unsolvable Problem Detection Michael Elgin,Shivanand Venkanna Sheshappanavar [paper coming soon] [code coming soon]
	Learning Adaptive Lab Evolved Mutational Landscapes: Leveraging LoRA on a Protein Language Model Silba Dowell,Shivanand Venkanna Sheshappanavar Extended Abstract at Women in Computer Vision Workshop, CVPR 2025, Nashville, TN, USA [poster]
	Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations Tejas Anvekar,Shivanand Venkanna Sheshappanavar 4th Workshop on Image/Video/Audio Quality in Computer Vision and Generative AI, WACV 2025, Tucson, AZ, USA [paper] [code]
	EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation Nischal Khanal,Shivanand Venkanna Sheshappanavar 2024 23rd International Conference on Machine Learning and Applications (IEEE, 2024), December 2024, Miami, Florida, USA [paper] [code]
	3DGrocery100: A Benchmark Grocery Dataset of Realworld Point Clouds From Single View Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand_Kundargi, Yufan Wang, Chandra Kambhamettu. 2024 International Conference on 3D Vision (3DV) (IEEE, 2024), March 2024, Davos, Switzerland. [paper] [project page]
	Local Neighborhood Features for 3D Classification Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu 22nd Scandinavian Conference In Image Analysis (SCIA), April 2023, Levi Ski Resort (Lapland), Finland. [paper] [code]
	SimpleView++: Neighborhood Views for Point Cloud Classification Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2022 [paper] [code] [video]
	PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification Shivanand Venkanna Sheshappanavar, Vinit Veerendraveer Singh, Chandra Kambhamettu IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021 [paper] [code] [video]
	Dynamic local geometry capture in 3d point cloud classification Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2021 [paper] [code] [video]
	Mesh Classification with Dilated Mesh Convolutions Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu IEEE International Conference on Image Processing (ICIP) 2021 [paper] [code] [video]
	MeshNet++: A Network with a Face Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu 29th ACM International Conference on Multimedia (ACM MM Oral) 2021 [paper] [code] [video]
	A novel local geometry capture in pointnet++ for 3d classification Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020 [paper] [code] [video]
	LSTM based Soil Moisture Prediction Shivanand Venkanna Sheshappanavar, Chilukuri K. Mohan, David G. Chandler 1st Northeast Regional Conference on Complex Systems (NERCCS) 2018 [paper] [code]

Teaching

I have been the Instructor for the following courses at the University of Wyoming:

COSC 4010/5010: Introduction to Large Language Models [Fall 2025]
COSC 4010/5010: Introduction to Deep Learning [Spring 2025]
EE 5885/COSC 5010: Advances in Deep Learning [Spring 2025]
EE 5885/COSC 5010: Advances in 3D Computer Vision [Spring 2024]
EE/COSC 2150: Computer Organization [Fall 2024, Fall 2023]

I have been the Instructor for the course below at the University of Delaware:

CISC210: Introduction to Systems Programming [Summer 2020]

I have been the Lead Teaching Assistant for the following course:

CISC210: Introduction to Systems Programming at the University of Delaware[Fall 2022, Spring 2022, Spring 2021, Fall 2020, Spring 2020, Fall 2019, Spring 2019]

I have been the Teaching Assistant for the following courses:

CISC220: Data Structures at the University of Delaware [Fall 2021]
CISC101: Principles of Computing at the University of Delaware [Winter 2021]
CISC662: Advanced Computer Architecture at the University of Delaware [Fall 2018]

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