Shubhra Aich

According to our database, Shubhra Aich authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping.

Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer

CoRR, 2024

2023

PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation.

Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer

CoRR, 2023

Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections.

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study.

Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data-Free Class-Incremental Hand Gesture Recognition.

Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation.

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu

CoRR, 2022

Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters.

Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Bidirectional Attention Network for Monocular Depth Estimation.

Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Multi-Scale Weight Sharing Network for Image Recognition.

Shubhra Aich, Masaki Yamazaki, Yasuhiro Taniguchi, Ian Stavness

Pattern Recognit. Lett., 2020

2019

RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving.

Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu

CoRR, 2019

Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images.

Shubhra Aich, Ian Stavness

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Object Counting with Small Datasets of Large Images.

Shubhra Aich, Ian Stavness

CoRR, 2018

Improving Object Counting with Heatmap Regulation.

Shubhra Aich, Ian Stavness

CoRR, 2018

DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning.

Shubhra Aich, Anique Josuttes, Ilya Ovsyannikov, Keegan Strueby, Imran Ahmed, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe, Ian Stavness

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Semantic Binary Segmentation Using Convolutional Networks Without Decoders.

Shubhra Aich, William van der Kamp, Ian Stavness

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

DeepWheat: Estimating Phenotypic Traits From Images of Crops Using Deep Learning.

Shubhra Aich, Imran Ahmed, Ilya Ovsyannikov, Ian Stavness, Anique Josuttes, Keegan Strueby, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe

CoRR, 2017

Leaf Counting with Deep Convolutional and Deconvolutional Networks.

Shubhra Aich, Ian Stavness

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Flower classification: Training augmentation using manifold images.

Shubhra Aich, Chil-Woo Lee

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

A General Vocabulary Based Approach for Fine-Grained Object Recognition.

Shubhra Aich, Chil-Woo Lee

Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Probabilistic contour mapping using oriented gradient features and SVM-bagging.

Shubhra Aich, Yong-Cheol Lee, Chil-Woo Lee

Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015