Probabilistic contour mapping using oriented gradient features and SVM-bagging. - Shubhra Aich; Yong-Cheol Lee; Chil-Woo Lee (FCV, 2015)

A General Vocabulary Based Approach for Fine-Grained Object Recognition. - Shubhra Aich; Chil-Woo Lee (PSIVT, 2015)

Flower classification: Training augmentation using manifold images. - Shubhra Aich; Chil-Woo Lee (URAI, 2015)

Leaf Counting with Deep Convolutional and Deconvolutional Networks. - Shubhra Aich; Ian Stavness (ICCV Workshops, 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)

Semantic Binary Segmentation Using Convolutional Networks Without Decoders. - Shubhra Aich; William van der Kamp; Ian Stavness (CVPR Workshops, 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 (WACV, 2018)

Improving Object Counting with Heatmap Regulation. - Shubhra Aich; Ian Stavness (CoRR, 2018)

Object Counting with Small Datasets of Large Images. - Shubhra Aich; Ian Stavness (CoRR, 2018)

Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images. - Shubhra Aich; Ian Stavness (CVPR Workshops, 2019)

RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. - Jean Marie Uwabeza Vianney; Shubhra Aich; Bingbing Liu (CoRR, 2019)

Multi-Scale Weight Sharing Network for Image Recognition. - Shubhra Aich; Masaki Yamazaki; Yasuhiro Taniguchi; Ian Stavness (Pattern Recognit. Lett., 2020)

Bidirectional Attention Network for Monocular Depth Estimation. - Shubhra Aich; Jean Marie Uwabeza Vianney; Md. Amirul Islam; Mannat Kaur; Bingbing Liu (ICRA, 2021)

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 (ICRA, 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)

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 (ICCV, 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 (ICCV (Workshops), 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 (IV, 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)

Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation. - Samuel Triest; Matthew Sivaprakasam; Shubhra Aich; David D. Fan; Wenshan Wang; Sebastian A. Scherer (CoRL, 2024)

FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis. - Vishnu Mani Hema; Shubhra Aich; Christian Häne; Jean-Charles Bazin; Fernando De la Torre (ECCV (82), 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)

SALON: Self-supervised Adaptive Learning for Off-road Navigation. - Matthew Sivaprakasam; Samuel Triest; Cherie Ho; Shubhra Aich; Jeric Lew; Isaiah Adu; Wenshan Wang; Sebastian A. Scherer (CoRR, 2024)