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ORCIDShubhra Aich
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2020 – today
- 2024
[c13]Vishnu Mani Hema
, Shubhra Aich, Christian Häne, Jean-Charles Bazin, Fernando De la Torre:
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis. ECCV (82) 2024: 57-73- [i15]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 abs/2403.11876 (2024) - [i14]Vishnu Mani Hema, Shubhra Aich, Christian Häne, Jean-Charles Bazin, Fernando De la Torre:
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis. CoRR abs/2410.09690 (2024) - [i13]Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer:
SALON: Self-supervised Adaptive Learning for Off-road Navigation. CoRR abs/2412.07826 (2024) - 2023
- [c12]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: 20901-20910 - [c11]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: 2686-2693 - [c10]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: 1-7 - [i12]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 abs/2301.07178 (2023) - [i11]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 abs/2311.00815 (2023) - 2022
- [c9]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: 2649-2655 - [i10]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 abs/2201.05585 (2022) - 2021
- [c8]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. ICRA 2021: 11746-11752 - [i9]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 abs/2107.09783 (2021) - 2020
- [j1]Shubhra Aich, Masaki Yamazaki, Yasuhiro Taniguchi, Ian Stavness:
Multi-Scale Weight Sharing Network for Image Recognition. Pattern Recognit. Lett. 131: 348-354 (2020) - [i8]Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi, Masaki Yamazaki:
Multi-Scale Weight Sharing Network for Image Recognition. CoRR abs/2001.02816 (2020) - [i7]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. CoRR abs/2009.00743 (2020)
2010 – 2019
- 2019
- [c7]Shubhra Aich, Ian Stavness:
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images. CVPR Workshops 2019: 73-82 - [i6]Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu:
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. CoRR abs/1911.09712 (2019) - 2018
- [c6]Shubhra Aich, William van der Kamp, Ian Stavness:
Semantic Binary Segmentation Using Convolutional Networks Without Decoders. CVPR Workshops 2018: 197-201 - [c5]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: 323-332 - [i5]Shubhra Aich, Ian Stavness:
Improving Object Counting with Heatmap Regulation. CoRR abs/1803.05494 (2018) - [i4]Shubhra Aich, William van der Kamp, Ian Stavness:
Semantic Binary Segmentation using Convolutional Networks without Decoders. CoRR abs/1805.00138 (2018) - [i3]Shubhra Aich, Ian Stavness:
Object Counting with Small Datasets of Large Images. CoRR abs/1805.11123 (2018) - 2017
- [c4]Shubhra Aich, Ian Stavness:
Leaf Counting with Deep Convolutional and Deconvolutional Networks. ICCV Workshops 2017: 2080-2089 - [i2]Shubhra Aich, Ian Stavness:
Leaf Counting with Deep Convolutional and Deconvolutional Networks. CoRR abs/1708.07570 (2017) - [i1]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 abs/1710.00241 (2017) - 2015
- [c3]Shubhra Aich, Yong-Cheol Lee, Chil-Woo Lee:
Probabilistic contour mapping using oriented gradient features and SVM-bagging. FCV 2015: 1-5 - [c2]Shubhra Aich, Chil-Woo Lee:
A General Vocabulary Based Approach for Fine-Grained Object Recognition. PSIVT 2015: 572-581 - [c1]Shubhra Aich, Chil-Woo Lee:
Flower classification: Training augmentation using manifold images. URAI 2015: 204-205
Coauthor Index
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