Debasmit Das

According to our database, Debasmit Das authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PosSAM: Panoptic Open-vocabulary Segment Anything.

Vibashan VS, Shubhankar Borse, Hyojin Park, Debasmit Das, Vishal M. Patel, Munawar Hayat, Fatih Porikli

CoRR, 2024

Segmentation-Free Guidance for Text-to-Image Diffusion Models.

Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation.

Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.

Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation.

Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Transformation Network to Generate Diverse Views for Contrastive Learning.

Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Progressive Random Convolutions for Single Domain Generalization.

Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction.

Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation.

Jihoon Moon, Debasmit Das, C. S. George Lee

IEEE Trans. Image Process., 2022

A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation.

Jihoon Moon, Debasmit Das, C. S. George Lee

CoRR, 2022

A Personalized Benchmark for Face Anti-spoofing.

Davide Belli, Debasmit Das, Bence Major, Fatih Porikli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Domain Agnostic Few-shot Learning for Speaker Verification.

Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning.

Debasmit Das, Sungrack Yun, Fatih Porikli

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Adaptive Personalization for Face Anti-Spoofing.

Davide Belli, Debasmit Das, Bence Major, Fatih Porikli

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation.

Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Distribution Estimation to Automate Transformation Policies for Self-Supervision.

Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli

CoRR, 2021

Data-driven Weight Initialization with Sylvester Solvers.

Debasmit Das, Yash Bhalgat, Fatih Porikli

CoRR, 2021

A Constrained Generative Approach to Generalized Zero-shot Object Recognition.

Debasmit Das, C. S. George Lee

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

A Two-Stage Approach to Few-Shot Learning for Image Recognition.

Debasmit Das, C. S. George Lee

IEEE Trans. Image Process., 2020

Few-Shot Image Recognition with Manifolds.

Debasmit Das, J. H. Moon, C. S. George Lee

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Multi-Step Online Unsupervised Domain Adaptation.

J. H. Moon, Debasmit Das, C. S. George Lee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration.

Debasmit Das, C. S. George Lee

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Sample-to-sample correspondence for unsupervised domain adaptation.

Debasmit Das, C. S. George Lee

Eng. Appl. Artif. Intell., 2018

Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching.

Debasmit Das, C. S. George Lee

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation.

Debasmit Das, C. S. George Lee

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Optimal Control for Constrained Coverage Path Planning.

Ankit Manerikar, Debasmit Das, Pranay Banerjee

CoRR, 2017

2015

A Power-Line Interference Canceler Based on Sliding DFT Phase Locking Scheme for ECG Signals.

Sarita Mishra, Debasmit Das, Roshan Kumar, Parasuraman Sumathi

IEEE Trans. Instrum. Meas., 2015