Debasmit Das - RankMe

53 papers A* 9A 1B 4Misc 2Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping. CoRR Sunghyun Park, Jeongho Kim, Hyoungwoo Park, Debasmit Das, Sungrack Yun, Munawar Hayat, Jaegul Choo, Fatih Porikli, Seokeon Choi
2025	J	`jnl`	ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints. CoRR Debasmit Das, Hyoungwoo Park, Munawar Hayat, Seokeon Choi, Sungrack Yun, Fatih Porikli
2025	A*	`conf`	CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. CVPR Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli
2025	J	`jnl`	CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. CoRR Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli
2025	J	`jnl`	DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. CoRR Aniket Roy, Shubhankar Borse, Shreya Kadambi, Debasmit Das, Shweta Mahajan, Risheek Garrepalli, Hyojin Park, Ankita Nayak, Rama Chellappa, Munawar Hayat, Fatih Porikli
2025	A*	`conf`	LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. ICLR Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli
2025	J	`jnl`	LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. CoRR Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli
2025	A*	`conf`	Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. ICML Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli
2025	J	`jnl`	Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. CoRR Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli
2024	A*	`conf`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. NeurIPS Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2024	J	`jnl`	Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. CoRR Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
2024	J	`jnl`	PosSAM: Panoptic Open-vocabulary Segment Anything. CoRR Vibashan VS, Shubhankar Borse, Hyojin Park, Debasmit Das, Vishal M. Patel, Munawar Hayat, Fatih Porikli
2024	—	`conf`	Segmentation-Free Guidance for Text-to-Image Diffusion Models. CVPR Workshops Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli
2024	J	`jnl`	Segmentation-Free Guidance for Text-to-Image Diffusion Models. CoRR Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli
2023	A*	`conf`	DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CVPR Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli
2023	J	`jnl`	DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CoRR Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli
2023	—	`conf`	Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim
2023	A*	`conf`	Progressive Random Convolutions for Single Domain Generalization. CVPR Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2023	J	`jnl`	Progressive Random Convolutions for Single Domain Generalization. CoRR Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
2023	—	`conf`	Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. WACV (Workshops) Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli
2023	A*	`conf`	Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2023	J	`jnl`	Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2023	J	`jnl`	TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. CoRR Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli
2023	Misc	`conf`	Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. ICASSP Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli
2022	J	`jnl`	A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. CoRR Jihoon Moon, Debasmit Das, C. S. George Lee
2022	J	`jnl`	A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. IEEE Trans. Image Process. Jihoon Moon, Debasmit Das, C. S. George Lee
2022	—	`conf`	A Personalized Benchmark for Face Anti-spoofing. WACV (Workshops) Davide Belli, Debasmit Das, Bence Major, Fatih Porikli
2022	A*	`conf`	ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR Debasmit Das, Sungrack Yun, Fatih Porikli
2022	A	`conf`	Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun
2022	J	`jnl`	Domain Agnostic Few-shot Learning for Speaker Verification. CoRR Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun
2022	B	`conf`	Online Adaptive Personalization for Face Anti-Spoofing. ICIP Davide Belli, Debasmit Das, Bence Major, Fatih Porikli
2022	J	`jnl`	Online Adaptive Personalization for Face Anti-spoofing. CoRR Davide Belli, Debasmit Das, Bence Major, Fatih Porikli
2022	A*	`conf`	Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CVPR Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli
2022	J	`jnl`	Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CoRR Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli
2022	J	`jnl`	Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. CoRR Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli
2021	B	`conf`	A Constrained Generative Approach to Generalized Zero-shot Object Recognition. SMC Debasmit Das, C. S. George Lee
2021	J	`jnl`	Data-driven Weight Initialization with Sylvester Solvers. CoRR Debasmit Das, Yash Bhalgat, Fatih Porikli
2021	J	`jnl`	Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli
2020	J	`jnl`	A Two-Stage Approach to Few-Shot Learning for Image Recognition. IEEE Trans. Image Process. Debasmit Das, C. S. George Lee
2020	—	`conf`	Few-Shot Image Recognition with Manifolds. ISVC (2) Debasmit Das, J. H. Moon, C. S. George Lee
2020	J	`jnl`	Few-shot Image Recognition with Manifolds. CoRR Debasmit Das, J. H. Moon, C. S. George Lee
2020	Misc	`conf`	Multi-Step Online Unsupervised Domain Adaptation. ICASSP J. H. Moon, Debasmit Das, C. S. George Lee
2020	J	`jnl`	Multi-step Online Unsupervised Domain Adaptation. CoRR J. H. Moon, Debasmit Das, C. S. George Lee
2019	J	`jnl`	A Two-Stage Approach to Few-Shot Learning for Image Recognition. CoRR Debasmit Das, C. S. George Lee
2019	B	`conf`	Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. IJCNN Debasmit Das, C. S. George Lee
2019	J	`jnl`	Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. CoRR Debasmit Das, C. S. George Lee
2018	—	`conf`	Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation. ICANN (3) Debasmit Das, C. S. George Lee
2018	J	`jnl`	Sample-to-Sample Correspondence for Unsupervised Domain Adaptation. CoRR Debasmit Das, C. S. George Lee
2018	J	`jnl`	Sample-to-sample correspondence for unsupervised domain adaptation. Eng. Appl. Artif. Intell. Debasmit Das, C. S. George Lee
2018	B	`conf`	Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching. ICIP Debasmit Das, C. S. George Lee
2018	J	`jnl`	Unsupervised Domain Adaptation using Regularized Hyper-graph Matching. CoRR Debasmit Das, C. S. George Lee
2017	J	`jnl`	Optimal Control for Constrained Coverage Path Planning. CoRR Ankit Manerikar, Debasmit Das, Pranay Banerjee
2015	J	`jnl`	A Power-Line Interference Canceler Based on Sliding DFT Phase Locking Scheme for ECG Signals. IEEE Trans. Instrum. Meas. Sarita Mishra, Debasmit Das, Roshan Kumar, Parasuraman Sumathi