| 2025 | CVPR | CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. | Jungsoo Lee, Debasmit Das, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, Fatih Porikli |
| 2025 | ICCV | ConsNoTrainLoRA: Data-driven Weight Initialization of Low-Rank Adapters Using Constraints. | Debasmit Das, Hyoungwoo Park, Munawar Hayat, Seokeon Choi, Sungrack Yun, Fatih Porikli |
| 2025 | ICCV | DuoLoRA: Cycle-Consistent and Rank-Disentangled Content-Style Personalization. | Aniket Roy, Shubhankar Borse, Shreya Kadambi, Debasmit Das, Shweta Mahajan, Risheek Garrepalli, Hyojin Park, Ankita Nayak, Rama Chellappa, Munawar Hayat, Fatih Porikli |
| 2025 | ICLR | LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. | Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli |
| 2025 | ICML | Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. | Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli |
| 2024 | CVPR | Segmentation-Free Guidance for Text-to-Image Diffusion Models. | Kambiz Azarian, Debasmit Das, Qiqi Hou, Fatih Porikli |
| 2023 | CVPR | DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. | Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli |
| 2023 | CVPR | Progressive Random Convolutions for Single Domain Generalization. | Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun |
| 2023 | CVPR | Neural Transformation Network to Generate Diverse Views for Contrastive Learning. | Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim |
| 2023 | ICASSP | 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 |
| 2023 | ICCV | Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. | Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi |
| 2023 | WACV | 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 |
| 2022 | CVPR | 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 |
| 2022 | ICIP | Online Adaptive Personalization for Face Anti-Spoofing. | Davide Belli, Debasmit Das, Bence Major, Fatih Porikli |
| 2022 | ICLR | ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. | Debasmit Das, Sungrack Yun, Fatih Porikli |
| 2022 | Interspeech | Domain Agnostic Few-shot Learning for Speaker Verification. | Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun |
| 2022 | WACV | A Personalized Benchmark for Face Anti-spoofing. | Davide Belli, Debasmit Das, Bence Major, Fatih Porikli |
| 2021 | SMC | A Constrained Generative Approach to Generalized Zero-shot Object Recognition. | Debasmit Das, C. S. George Lee |
| 2020 | ICASSP | Multi-Step Online Unsupervised Domain Adaptation. | J. H. Moon, Debasmit Das, C. S. George Lee |
| 2020 | ISVC | Few-Shot Image Recognition with Manifolds. | Debasmit Das, J. H. Moon, C. S. George Lee |
| 2019 | IJCNN | Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. | Debasmit Das, C. S. George Lee |
| 2018 | ICANN | Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation. | Debasmit Das, C. S. George Lee |
| 2018 | ICIP | Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching. | Debasmit Das, C. S. George Lee |