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Debasmit Das
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2020 – today
- 2024
- [c18]Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli:
Segmentation-Free Guidance for Text-to-Image Diffusion Models. CVPR Workshops 2024: 7520-7529 - [i21]Vibashan VS, Shubhankar Borse, Hyojin Park, Debasmit Das, Vishal M. Patel, Munawar Hayat, Fatih Porikli:
PosSAM: Panoptic Open-vocabulary Segment Anything. CoRR abs/2403.09620 (2024) - [i20]Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli:
Segmentation-Free Guidance for Text-to-Image Diffusion Models. CoRR abs/2407.04800 (2024) - [i19]Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli:
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. CoRR abs/2411.01179 (2024) - 2023
- [c17]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - [c16]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CVPR 2023: 10312-10322 - [c15]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CVPR 2023: 19466-19477 - [c14]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. ICASSP 2023: 1-5 - [c13]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV 2023: 16334 - [c12]Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli:
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. WACV (Workshops) 2023: 411-420 - [i18]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. CoRR abs/2302.14611 (2023) - [i17]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CoRR abs/2303.01573 (2023) - [i16]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CoRR abs/2304.00424 (2023) - [i15]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR abs/2308.06879 (2023) - 2022
- [j4]Jihoon Moon
, Debasmit Das
A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 4622-4636 (2022) - [c11]Shubhankar Borse
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CVPR 2022: 1259-1269 - [c10]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
Online Adaptive Personalization for Face Anti-Spoofing. ICIP 2022: 351-355 - [c9]Debasmit Das, Sungrack Yun, Fatih Porikli:
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR 2022 - [c8]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH 2022: 595-599 - [c7]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
A Personalized Benchmark for Face Anti-spoofing. WACV (Workshops) 2022: 338-348 - [i14]Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli:
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CoRR abs/2204.05370 (2022) - [i13]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. CoRR abs/2206.13700 (2022) - [i12]Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. CoRR abs/2207.00003 (2022) - [i11]Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
Online Adaptive Personalization for Face Anti-spoofing. CoRR abs/2207.12272 (2022) - [i10]Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli:
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. CoRR abs/2212.06242 (2022) - 2021
- [c6]Debasmit Das, C. S. George Lee:
A Constrained Generative Approach to Generalized Zero-shot Object Recognition. SMC 2021: 1849-1854 - [i9]Debasmit Das, Yash Bhalgat, Fatih Porikli:
Data-driven Weight Initialization with Sylvester Solvers. CoRR abs/2105.10335 (2021) - [i8]Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR abs/2111.12265 (2021) - 2020
- [j3]Debasmit Das
A Two-Stage Approach to Few-Shot Learning for Image Recognition. IEEE Trans. Image Process. 29: 3336-3350 (2020) - [c5]J. H. Moon, Debasmit Das, C. S. George Lee:
Multi-Step Online Unsupervised Domain Adaptation. ICASSP 2020: 41172-41576 - [c4]Debasmit Das, J. H. Moon, C. S. George Lee:
Few-Shot Image Recognition with Manifolds. ISVC (2) 2020: 3-14 - [i7]J. H. Moon, Debasmit Das, C. S. George Lee:
Multi-step Online Unsupervised Domain Adaptation. CoRR abs/2002.08930 (2020) - [i6]Debasmit Das, J. H. Moon, C. S. George Lee:
Few-shot Image Recognition with Manifolds. CoRR abs/2010.12084 (2020)
2010 – 2019
- 2019
- [c3]Debasmit Das, C. S. George Lee:
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. IJCNN 2019: 1-8 - [i5]Debasmit Das, C. S. George Lee:
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. CoRR abs/1903.11701 (2019) - [i4]Debasmit Das, C. S. George Lee:
A Two-Stage Approach to Few-Shot Learning for Image Recognition. CoRR abs/1912.04973 (2019) - 2018
- [j2]Debasmit Das, C. S. George Lee:
Sample-to-sample correspondence for unsupervised domain adaptation. Eng. Appl. Artif. Intell. 73: 80-91 (2018) - [c2]Debasmit Das, C. S. George Lee:
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation. ICANN (3) 2018: 342-352 - [c1]Debasmit Das, C. S. George Lee:
Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching. ICIP 2018: 3758-3762 - [i3]Debasmit Das, C. S. George Lee:
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation. CoRR abs/1805.00355 (2018) - [i2]Debasmit Das, C. S. George Lee:
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching. CoRR abs/1805.08874 (2018) - 2017
- [i1]Ankit Manerikar, Debasmit Das, Pranay Banerjee:
Optimal Control for Constrained Coverage Path Planning. CoRR abs/1708.03055 (2017) - 2015
- [j1]Sarita Mishra, Debasmit Das
A Power-Line Interference Canceler Based on Sliding DFT Phase Locking Scheme for ECG Signals. IEEE Trans. Instrum. Meas. 64(1): 132-142 (2015)
Coauthor Index
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