1 citations · 4 across the 6 of their papers we have counts for
6 papers
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology
Dharma KC, Clayton T. Morrison
Learning to generate textures for a novel 3D mesh given a collection of 3D meshes and real-world 2D images is an important problem with applications in various domains such as 3D s…
Neural Machine Translation for Code Generation
Dharma KC, Clayton T. Morrison
Neural machine translation (NMT) methods developed for natural language processing have been shown to be highly successful in automating translation from one natural language to an…
Towards Light Weight Object Detection System
Dharma KC, Venkata Ravi Kiran Dayana, Meng-Lin Wu +2
Transformers are a popular choice for classification tasks and as backbones for object detection tasks. However, their high latency brings challenges in their adaptation to lightwe…
Texture Generation Using A Graph Generative Adversarial Network And Differentiable Rendering
Dharma KC, Clayton T. Morrison, Bradley Walls
Novel photo-realistic texture synthesis is an important task for generating novel scenes, including asset generation for 3D simulations. However, to date, these methods predominant…
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
Dharma KC, Chicheng Zhang, Chris Gniady +2
Heart disease is the number one killer, and ECGs can assist in the early diagnosis and prevention of deadly outcomes. Accurate ECG interpretation is critical in detecting heart dis…
Improving the trustworthiness of image classification models by utilizing bounding-box annotations
Dharma KC, Chicheng Zhang
We study utilizing auxiliary information in training data to improve the trustworthiness of machine learning models. Specifically, in the context of image classification, we propos…