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Debasmit Das
Debasmit Das
AI Researcher, Qualcomm
Zweryfikowany adres z qti.qualcomm.com
Tytuł
Cytowane przez
Cytowane przez
Rok
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
D Das, CSG Lee
International Conference on Artificial Neural Networks (ICANN) 2018, 2018
176*2018
A Two-Stage Approach to Few-Shot Learning for Image Recognition
D Das, CSG Lee
IEEE Transactions on Image Processing (TIP), 2019
1522019
Economic impact of COVID-19 pandemic
S Roy, D Das
Technical Report, 1-29, 2020
1302020
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation
D Das, CSG Lee
Engineering Applications of Artificial Intelligence (EAAI) (73) 80-91, 2018
732018
Unsupervised Domain Adaptation using Regularized Hyper-graph matching
D Das, CSG Lee
IEEE International Conference on Image Processing (ICIP) 2018, 2018
712018
A power-line interference canceler based on sliding DFT phase locking scheme for ECG signals
S Mishra, D Das, R Kumar, P Sumathi
IEEE transactions on Instrumentation and measurement 64 (1), 132-142, 2014
662014
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
D Das, S Yun, F Porikli
International Conference on Learning Representations (ICLR), 2022
532022
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration
D Das, CSG Lee
International Joint Conference on Neural Networks (IJCNN), 2019
402019
Progressive Random Convolutions for Single Domain Generalization
S Choi, D Das, S Choi, S Yang, H Park, S Yun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
322023
Multi-step Online Unsupervised Domain Adaptation
JH Moon, D Das, CSG Lee
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020
25*2020
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
S Borse, H Park, H Cai, D Das, R Garrepalli, F Porikli
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
17*2022
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
J Lee, D Das, J Choo, S Choi
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
162023
Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration
D Das, CSG Lee
Technical Report, 2018
142018
Few-shot Image Recognition with Manifolds
D Das, JH Moon, CSG Lee
International Symposium on Visual Computing (ISVC), 2020
132020
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation
JH Moon, D Das, CSG Lee
IEEE Transactions on Image Processing (TIP), 2022
102022
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
S Borse, D Das, H Park, H Cai, R Garrepalli, F Porikli
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
92023
Domain Agnostic Few-shot Learning for Speaker Verification
S Yang, D Das, J Cho, H Park, S Yun
ISCA Conference of the International Speech Communication Association …, 2022
92022
Algorithm for a PSO tuned fuzzy controller of a DC motor
D Das, A Ghosh
International Journal of Computer Applications (IJCA) 73 (4), 2013
92013
A Personalized Benchmark for Face Anti-spoofing
D Belli, D Das, B Major, F Porikli
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2022
62022
Distribution estimation to automate transformation policies for self-supervision
S Yang, D Das, S Chang, S Yun, F Porikli
arXiv preprint arXiv:2111.12265, 2021
6*2021
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