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)

Optimal Control for Constrained Coverage Path Planning. - Ankit Manerikar; Debasmit Das; Pranay Banerjee (CoRR, 2017)

Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation. - Debasmit Das; C. S. George Lee (ICANN (3), 2018)

Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching. - Debasmit Das; C. S. George Lee (ICIP, 2018)

Sample-to-sample correspondence for unsupervised domain adaptation. - Debasmit Das; C. S. George Lee (Eng. Appl. Artif. Intell., 2018)

Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. - Debasmit Das; C. S. George Lee (IJCNN, 2019)

Multi-Step Online Unsupervised Domain Adaptation. - J. H. Moon; Debasmit Das; C. S. George Lee (ICASSP, 2020)

Few-Shot Image Recognition with Manifolds. - Debasmit Das; J. H. Moon; C. S. George Lee (ISVC (2), 2020)

A Two-Stage Approach to Few-Shot Learning for Image Recognition. - Debasmit Das; C. S. George Lee (IEEE Trans. Image Process., 2020)

A Constrained Generative Approach to Generalized Zero-shot Object Recognition. - Debasmit Das; C. S. George Lee (SMC, 2021)

Data-driven Weight Initialization with Sylvester Solvers. - Debasmit Das; Yash Bhalgat; Fatih Porikli (CoRR, 2021)

Distribution Estimation to Automate Transformation Policies for Self-Supervision. - Seunghan Yang; Debasmit Das; Simyung Chang; Sungrack Yun; Fatih Porikli (CoRR, 2021)

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. - Shubhankar Borse; Hyojin Park 004; Hong Cai; Debasmit Das; Risheek Garrepalli; Fatih Porikli (CVPR, 2022)

Online Adaptive Personalization for Face Anti-Spoofing. - Davide Belli; Debasmit Das; Bence Major; Fatih Porikli (ICIP, 2022)

ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. - Debasmit Das; Sungrack Yun; Fatih Porikli (ICLR, 2022)

Domain Agnostic Few-shot Learning for Speaker Verification. - Seunghan Yang; Debasmit Das; Janghoon Cho; Hyoungwoo Park; Sungrack Yun (INTERSPEECH, 2022)

A Personalized Benchmark for Face Anti-spoofing. - Davide Belli; Debasmit Das; Bence Major; Fatih Porikli (WACV (Workshops), 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 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)

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. - Shubhankar Borse; Debasmit Das; Hyojin Park 004; Hong Cai; Risheek Garrepalli; Fatih Porikli (CVPR, 2023)

Progressive Random Convolutions for Single Domain Generalization. - Seokeon Choi; Debasmit Das; Sungha Choi; Seunghan Yang; Hyunsin Park; Sungrack Yun (CVPR, 2023)

Neural Transformation Network to Generate Diverse Views for Contrastive Learning. - Taekyung Kim 002; Debasmit Das; Seokeon Choi; Minki Jeong; Seunghan Yang; Sungrack Yun; Changick Kim (CVPR Workshops, 2023)

Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. - Debasmit Das; Shubhankar Borse; Hyojin Park 004; Kambiz Azarian; Hong Cai; Risheek Garrepalli; Fatih Porikli (ICASSP, 2023)

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. - Jungsoo Lee; Debasmit Das; Jaegul Choo; Sungha Choi (ICCV, 2023)

Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. - Kambiz Azarian; Debasmit Das; Hyojin Park 004; Fatih Porikli (WACV (Workshops), 2023)

Segmentation-Free Guidance for Text-to-Image Diffusion Models. - Kambiz Azarian; Debasmit Das; Qiqi Hou; Fatih Porikli (CVPR Workshops, 2024)

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. - Wonguk Cho; Seokeon Choi; Debasmit Das; Matthias Reisser; Taesup Kim; Sungrack Yun; Fatih Porikli (NeurIPS, 2024)

PosSAM: Panoptic Open-vocabulary Segment Anything. - Vibashan VS; Shubhankar Borse; Hyojin Park 004; Debasmit Das; Vishal M. Patel; Munawar Hayat; Fatih Porikli (CoRR, 2024)

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. - Jungsoo Lee; Debasmit Das; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CVPR, 2025)

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. - Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli (ICLR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 2025)

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. - Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli (CoRR, 2025)

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints. - Debasmit Das; Hyoungwoo Park; Munawar Hayat; Seokeon Choi; Sungrack Yun; Fatih Porikli (CoRR, 2025)