Shubhra Aich

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Semantic Segmentation

Top Venues

Publications

Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. CoRR (2024)
Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study. CoRR (2023)
Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu
Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections. IV (2023)
Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study. ICCV (Workshops) (2023)
Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. CoRR (2023)
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
Data-Free Class-Incremental Hand Gesture Recognition. ICCV (2023)
Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. ICRA (2022)
Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu
HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation. CoRR (2022)
Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu
Bidirectional Attention Network for Monocular Depth Estimation. ICRA (2021)
Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. CoRR (2021)
Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi, Masaki Yamazaki
Multi-Scale Weight Sharing Network for Image Recognition. CoRR (2020)
Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu
Bidirectional Attention Network for Monocular Depth Estimation. CoRR (2020)
Shubhra Aich, Masaki Yamazaki, Yasuhiro Taniguchi, Ian Stavness
Multi-Scale Weight Sharing Network for Image Recognition. Pattern Recognit. Lett. 131 (2020)
Shubhra Aich, Ian Stavness
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images. CVPR Workshops (2019)
Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. CoRR (2019)
Shubhra Aich, William van der Kamp, Ian Stavness
Semantic Binary Segmentation Using Convolutional Networks Without Decoders. CVPR Workshops (2018)
Shubhra Aich, Ian Stavness
Object Counting with Small Datasets of Large Images. CoRR (2018)
Shubhra Aich, William van der Kamp, Ian Stavness
Semantic Binary Segmentation using Convolutional Networks without Decoders. CoRR (2018)
Shubhra Aich, Ian Stavness
Improving Object Counting with Heatmap Regulation. CoRR (2018)
Shubhra Aich, Anique Josuttes, Ilya Ovsyannikov, Keegan Strueby, Imran Ahmed, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe, Ian Stavness
DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning. WACV (2018)
Shubhra Aich, Ian Stavness
Leaf Counting with Deep Convolutional and Deconvolutional Networks. ICCV Workshops (2017)
Shubhra Aich, Imran Ahmed, Ilya Ovsyannikov, Ian Stavness, Anique Josuttes, Keegan Strueby, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe
DeepWheat: Estimating Phenotypic Traits From Images of Crops Using Deep Learning. CoRR (2017)
Shubhra Aich, Ian Stavness
Leaf Counting with Deep Convolutional and Deconvolutional Networks. CoRR (2017)
Shubhra Aich, Chil-Woo Lee
A General Vocabulary Based Approach for Fine-Grained Object Recognition. PSIVT (2015)
Shubhra Aich, Yong-Cheol Lee, Chil-Woo Lee
Probabilistic contour mapping using oriented gradient features and SVM-bagging. FCV (2015)
Shubhra Aich, Chil-Woo Lee
Flower classification: Training augmentation using manifold images. URAI (2015)