• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 43 matches

• 2023
• 
  Debasmita Mishra, Bighnaraj Naik, Janmenjoy Nayak, Alireza Souri, Pandit Byomakesha Dash, S. Vimal:
  Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network. Digit. Commun. Networks 9(1): 125-137 (2023)
• 
  Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
  DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CVPR 2023: 19466-19477
• 
  Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
  Progressive Random Convolutions for Single Domain Generalization. CVPR 2023: 10312-10322
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
  Progressive Random Convolutions for Single Domain Generalization. CoRR abs/2304.00424 (2023)
• 
  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
• 
  Jihoon Moon, Debasmit Das, C. S. George Lee:
  A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 4622-4636 (2022)
• 
  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. CVPR 2022: 1259-1269
• 
  Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
  Online Adaptive Personalization for Face Anti-Spoofing. ICIP 2022: 351-355
• 
  Debasmit Das, Sungrack Yun, Fatih Porikli:
  ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning. ICLR 2022
• 
  Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
  Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH 2022: 595-599
• 
  Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
  A Personalized Benchmark for Face Anti-spoofing. WACV (Workshops) 2022: 338-348
• 
  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)
• 
  Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
  Domain Agnostic Few-shot Learning for Speaker Verification. CoRR abs/2206.13700 (2022)
• 
  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)
• 
  Davide Belli, Debasmit Das, Bence Major, Fatih Porikli:
  Online Adaptive Personalization for Face Anti-spoofing. CoRR abs/2207.12272 (2022)
• 
  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
• 
  Rajesh Kumar Ranjan, Debasmita Das, Ram Ganesh V, Yatin Katyal, Tanmoy Bhowmik:
  DEDD: Deep Encoder with Dual Decoder Architecture for Stability and Specificity Preserving Encoding and Translation of Embedding between Domains. CNIOT 2021: 20:1-20:7
• 
  Debasmita Das, Yatin Katyal, Ram Ganesh, Rohit Bhattacharya, Rajesh Kumar Ranjan:
  AuthSHAP: authentication vulnerability detection on tabular data in black box setting. ICAIF 2021: 52:1-52:8
• 
  Debasmit Das, C. S. George Lee:
  A Constrained Generative Approach to Generalized Zero-shot Object Recognition. SMC 2021: 1849-1854
• 
  Debasmit Das, Yash Bhalgat, Fatih Porikli:
  Data-driven Weight Initialization with Sylvester Solvers. CoRR abs/2105.10335 (2021)
• 
  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
• 
  Debasmit Das, C. S. George Lee:
  A Two-Stage Approach to Few-Shot Learning for Image Recognition. IEEE Trans. Image Process. 29: 3336-3350 (2020)
• 
  J. H. Moon, Debasmit Das, C. S. George Lee:
  Multi-Step Online Unsupervised Domain Adaptation. ICASSP 2020: 41172-41576
• 
  Debasmit Das, J. H. Moon, C. S. George Lee:
  Few-Shot Image Recognition with Manifolds. ISVC (2) 2020: 3-14
• 
  J. H. Moon, Debasmit Das, C. S. George Lee:
  Multi-step Online Unsupervised Domain Adaptation. CoRR abs/2002.08930 (2020)
• 
  Debasmit Das, J. H. Moon, C. S. George Lee:
  Few-shot Image Recognition with Manifolds. CoRR abs/2010.12084 (2020)

skipping 13 more matches