Journal Papers

• Okorie, A., Kambhamettu, C. & Makrogiannnis, S. Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping. Machine Vision and Applications 34, 103 (2023). https://doi.org/10.1007/s00138-023-01451-w

Conference Papers

• Huining Liang and Chandra Kambhamettu. "Edge-guided Image Inpainting with Transformer", International Symposium on Visual Computing (ISVC), October 2023.
• Rohit Venkata Sai Dulam and Chandra Kambhamettu. "SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training", International Symposium on Visual Computing (ISVC), October 2023.
• Yi Liu, Su Peng, Jeffrey Caplan, and Chandra Kambhamettu, "Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network", 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). October 8-12, 2023, Vancouver.
• Seyedalireza Khoshsirat and Chandra Kambhamettu. "Sentence Attention Blocks for Answer Grounding", Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.
• Seyedalireza Khoshsirat and Chandra Kambhamettu. "Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos", 25th Irish Machine Vision and Image Processing Conference, 2023.
• Seyedalireza Khoshsirat and Chandra Kambhamettu. "Embedding Attention Blocks for the VizWiz Answer Grounding Challenge", VizWiz Grand Challenge Workshop, 2023.
• Chandra Kambhamettu, "3DSAINT Representation for 3D Point Clouds", Workshop on Computer Vision for Mixed Reality (CVPRW-CV4MR), 2023.
• Shivanand Venkanna Sheshappanavar, and Chandra Kambhamettu. "Local Neighborhood Features for 3D Classification", 22nd Scandinavian Conference In Image Analysis (SCIA), Levi (Lapland), Finland, Springer International Publishing, April 2023.
• Rohit Venkata Sai Dulam, Emily Fedders, Andrew Mahoney, and Chandra Kambhamettu. "ConvSegFormer - A convolution aided SegFormer architecture for detection of discontinuities in wrapped interferometric phase imagery of Sea Ice", 22nd Scandinavian Conference In Image Analysis (SCIA), Levi (Lapland), Finland, Springer International Publishing, April 2023.

Competitions

• Seyedalireza Khoshsirat from the VIMS Lab is First on the VizWiz-VQA-Grounding Challenge 2022 leaderboard. Link to the leaderboard.
• Shivanand Venkanna Sheshappanavar from the VIMS Lab is among the top 10 on the real-world objects benchmark ScanObjectNN dataset leaderboard. Link to the leaderboard.

Conference Papers

• Vinit Veerendraveer Singh and Chandra Kambhamettu. "Classification of Biomedical Journal Images using Retargeting-Based Data Augmentation and Visually Explainable Attention Priors" (BMVC), 2022.
• Michael Pergeorelis, Maxim Bazik, Philip Saponaro, Joong Kim, and Chandra Kambhamettu. "Synthetic Data for Semantic Segmentation in Underwater Imagery", Global Oceans 2022: Hampton Roads, October 2022.
• Seyedalireza Khoshsirat and Chandra Kambhamettu. "Semantic Segmentation using Neural Ordinary Differential Equations", International Symposium on Visual Computing (ISVC), October 2022.
• Ashuta Bhattarai, Chandra Kambhamettu, and Jing Jin. "CUNet: Towards continuous multi-class contour detection for retinal layer segmentation in OCT images", 29th IEEE International Conference on Image Processing (IEEE ICIP), October 2022.
• Rohit Venkata Sai Dulam, Kelsey Kaplan, and Chandra Kambhamettu. "Deep Learning-based Sea Ice Lead Detection from WorldView and Sentinel SAR Imagery", IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.
• Kelsey Kaplan and Chandra Kambhamettu. "A Novel Methodology for High-Resolution Sea Ice Motion Estimation", IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.
• Shivanand Venkanna Sheshappanavar, and Chandra Kambhamettu. "SimpleView++: Neighborhood Views for Point Cloud Classification", Proceedings of the IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), August 2022.
• Yi Liu, Jeffrey Caplan, Chandra Kambhamettu, "Extraction and Quantification of Actin Cytoskeleton in Microscopic Images Using a Deep Learning Based Framework and a Curve Clustering Model", 26th International Conference on Pattern Recognition (ICPR), 2022
• Singh, Vinit Veerendraveer and Chandra Kambhamettu. "AIM: an Auto-Augmenter for Images and Meshes". 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
• Jin J, Bhattarai A, Miller R, Kolb EA and Kambhamettu C. A deep learning system for sickle cell retinopathy detection using retinal OCT images from children with sickle cell disease. IOVS 2022:ARVO E-Abstract

Conference Papers

• Singh, Vinit Veerendraveer, Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "MeshNet++: A Network with a Face". Proceedings of the 29th ACM International Conference on Multimedia. 2021., 1-9 (Oral)
• Venkanna Sheshappanavar, Shivanand, Singh, Vinit Veerendraveer, and Chandra Kambhamettu. "PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification" Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 2021.
• Olson, Lauren, Chandra Kambhamettu, and Kathleen McCoy. "Towards Using Live Photos to Mitigate Image Quality Issues In VQA Photography." The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. 2021.
• Singh, Vinit Veerendraveer, Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "Dilated Mesh Convolutions." 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, 19-22 September 2021.
• Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "Dynamic Local Geometry Capture in 3D Point Cloud Classification." Proceedings of the IEEE 4th International Conference on Multimedia Information Processing and Retrieval, September 2021.
• Olson, Lauren, Chandra Kambhamettu, and Kathleen McCoy. "Live Photos: Mitigating the Impacts of Low-Quality Images in VQA." VizWiz workshop CVPR. 2021.

Journal Papers

• S Sorensen, V Veerendraveer, W Treible, AR Mahoney, C Kambhamettu. The polar sea ice topography reconstruction system. Annals of Glaciology, 1-12, 2020.
• Richard R Suminski, Gregory M Dominick, Philip Saponaro, Elizabeth M Orsega-Smith, Eric Plautz, Matthew Saponaro. High-Tech Video Capture and Analysis for Counting Park Users. Journal for the Measurement of Physical Behaviour 1 (aop), 1-10, 2020.