Search Results - "Aich, Shubhra"

Multi-Scale Weight Sharing Network for Image Recognition by Aich, Shubhra, Yamazaki, Masaki, Taniguchi, Yasuhiro, Stavness, Ian

“…•We explore the idea of weight sharing over multiple scales in convolutional networks.•We evaluate on two of the largest image recognition datasets (ImageNet…”
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Leaf Counting with Deep Convolutional and Deconvolutional Networks by Aich, Shubhra, Stavness, Ian

“…In this paper, we investigate the problem of counting rosette leaves from an RGB image, an important task in plant phenotyping. We propose a data-driven…”
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Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections by Corral-Soto, Eduardo R., Rochan, Mrigank, He, Yannis Y., Chen, Xingxin, Aich, Shubhra, Bingbing, Liu

“…In this paper we address the challenging problem of domain adaptation in LiDAR semantic segmentation. We consider the setting where we have a fully-labeled…”
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Probabilistic contour mapping using oriented gradient features and SVM-bagging by Shubhra Aich, Yong-Cheol Lee, Chil-Woo Lee

“…In this paper, we propose a supervised approach to find out the probabilistic mapping of semantic contours in color images. We prepare a new color image…”
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Semantic Binary Segmentation Using Convolutional Networks without Decoders by Aich, Shubhra, van der Kamp, William, Stavness, Ian

“…In this paper, we propose an efficient architecture for semantic image segmentation using the depth-to-space (D2S) operation. Our D2S model is comprised of a…”
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Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images by Aich, Shubhra, Stavness, Ian

“…In this paper, we explore the problem of training one-look regression models for counting objects in datasets comprising a small number of high-resolution,…”
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Improving Object Counting with Heatmap Regulation by Aich, Shubhra, Stavness, Ian

“…In this paper, we propose a simple and effective way to improve one-look regression models for object counting from images. We use class activation map…”
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Leaf Counting with Deep Convolutional and Deconvolutional Networks by Aich, Shubhra, Stavness, Ian

“…In this paper, we investigate the problem of counting rosette leaves from an RGB image, an important task in plant phenotyping. We propose a data-driven…”
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Bidirectional Attention Network for Monocular Depth Estimation by Aich, Shubhra, Uwabeza Vianney, Jean Marie, Amirul Islam, Md, Bingbing Liu, Mannat Kaur

“…In this paper, we propose a Bidirectional Attention Network (BANet), an end-to-end framework for monocular depth estimation (MDE) that addresses the limitation…”
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FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis by Hema, Vishnu Mani, Aich, Shubhra, Haene, Christian, Bazin, Jean-Charles, de la Torre, Fernando

“…The advancement in deep implicit modeling and articulated models has significantly enhanced the process of digitizing human figures in 3D from just a single…”
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Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping by Aich, Shubhra, Wang, Wenshan, Maheshwari, Parv, Sivaprakasam, Matthew, Triest, Samuel, Ho, Cherie, Gregory, Jason M, RogersIII, John G, Scherer, Sebastian

“…High-speed off-road navigation requires long-range, high-resolution maps to enable robots to safely navigate over different surfaces while avoiding dangerous…”
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Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters by Rochan, Mrigank, Aich, Shubhra, Corral-Soto, Eduardo R., Nabatchian, Amir, Liu, Bingbing

“…In this paper, we focus on a less explored, but more realistic and complex problem of domain adaptation in LiDAR semantic segmentation. There is a significant…”
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Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study by Rajapaksa, Sajith, Vianney, Jean Marie Uwabeza, Castro, Renell, Khalvati, Farzad, Aich, Shubhra

“…This paper investigates the potential usage of large text-to-image (LTI) models for the automated diagnosis of a few skin conditions with rarity or a serious…”
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PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation by Maheshwari, Parv, Wang, Wenshan, Triest, Samuel, Sivaprakasam, Matthew, Aich, Shubhra, RogersIII, John G, Gregory, Jason M, Scherer, Sebastian

“…Modeling the precise dynamics of off-road vehicles is a complex yet essential task due to the challenging terrain they encounter and the need for optimal…”
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Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study by Rajapaksa, Sajith, Uwabeza Vianney, Jean Marie, Castro, Renell, Khalvati, Farzad, Aich, Shubhra

“…This paper investigates the potential usage of large text-to-image (LTI) models for the automated diagnosis of a few skin conditions with rarity or a severe…”
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DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning by Aich, Shubhra, Josuttes, Anique, Ovsyannikov, Ilya, Strueby, Keegan, Ahmed, Imran, Duddu, Hema Sudhakar, Pozniak, Curtis, Shirtliffe, Steve, Stavness, Ian

“…In this paper, we investigate estimating emergence and biomass traits from color images and elevation maps of wheat field plots. We employ a state-of-the-art…”
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Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning by Corral-Soto, Eduardo R, Rochan, Mrigank, He, Yannis Y, Aich, Shubhra, Liu, Yang, Bingbing, Liu

“…In this paper we address the challenging problem of domain adaptation in LiDAR semantic segmentation. We consider the setting where we have a fully-labeled…”
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Multi-Scale Weight Sharing Network for Image Recognition by Aich, Shubhra, Stavness, Ian, Taniguchi, Yasuhiro, Yamazaki, Masaki

“…In this paper, we explore the idea of weight sharing over multiple scales in convolutional networks. Inspired by traditional computer vision approaches, we…”
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RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving by Vianney, Jean Marie Uwabeza, Aich, Shubhra, Liu, Bingbing

“…In this paper, we strive for solving the ambiguities arisen by the astoundingly high density of raw PseudoLiDAR for monocular 3D object detection for…”
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Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters by Rochan, Mrigank, Aich, Shubhra, Corral-Soto, Eduardo R, Nabatchian, Amir, Liu, Bingbing

“…In this paper, we focus on a less explored, but more realistic and complex problem of domain adaptation in LiDAR semantic segmentation. There is a significant…”
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