Publications

541 / 3,375 publications found.


  •  Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), November 2022.
    BibTeX TR2022-149 PDF
    • @inproceedings{Shimoya2022nov,
    • author = {Shimoya, Ryosuke and Morimoto, Tahashi and van Baar, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
    • title = {Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images},
    • booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
    • year = 2022,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-149}
    • }
  •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
    BibTeX TR2022-148 PDF Presentation
    • @inproceedings{Romero2022nov,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning Partial Equivariances from Data},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-148}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
    BibTeX TR2022-147 PDF
    • @inproceedings{Wang2022nov,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-147}
    • }
  •  Venkatesh, S., Wichern, G., Subramanian, A.S., Le Roux, J., "IMPROVED DOMAIN GENERALIZATION VIA DISENTANGLED MULTI-TASK LEARNING IN UNSUPERVISED ANOMALOUS SOUND DETECTION", DCASE Workshop, Lagrange, M. and Mesaros, A. and Pellegrini, T. and Richard, G. and Serizel, R. and Stowell, D., Eds., November 2022.
    BibTeX TR2022-146 PDF
    • @inproceedings{Venkatesh2022nov,
    • author = {Venkatesh, Satvik and Wichern, Gordon and Subramanian, Aswin Shanmugam and Le Roux, Jonathan},
    • title = {IMPROVED DOMAIN GENERALIZATION VIA DISENTANGLED MULTI-TASK LEARNING IN UNSUPERVISED ANOMALOUS SOUND DETECTION},
    • booktitle = {Detection and Classification of Acoustic Scenes and Events Workshop (DCASE)},
    • year = 2022,
    • editor = {Lagrange, M. and Mesaros, A. and Pellegrini, T. and Richard, G. and Serizel, R. and Stowell, D.},
    • month = nov,
    • isbn = {978-952-03-2677-7},
    • url = {https://www.merl.com/publications/TR2022-146}
    • }
  •  Yu, X., Smedemark-Margulies, N., Aeron, S., Koike-Akino, T., Moulin, P., Brand, M.E., Parsons, K., Wang, Y., "Improving Adversarial Robustness by Learning Shared Information", Pattern Recognition, November 2022.
    BibTeX TR2022-141 PDF
    • @article{Yu2022nov,
    • author = {Yu, Xi and Smedemark-Margulies, Niklas and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Brand, Matthew E. and Parsons, Kieran and Wang, Ye},
    • title = {Improving Adversarial Robustness by Learning Shared Information},
    • journal = {Pattern Recognition},
    • year = 2022,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-141}
    • }
  •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), October 2022.
    BibTeX TR2022-135 PDF Video Software Presentation
    • @inproceedings{Ahmed2022oct,
    • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K},
    • title = {Cross-Modal Knowledge Transfer Without Task-Relevant Source Data},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2022,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-135}
    • }
  •  Xia, H., Wang, P., Ding, Z., "Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer", European Conference on Computer Vision (ECCV), DOI: 10.1007/​978-3-031-19830-4_12, October 2022.
    BibTeX TR2022-134 PDF
    • @inproceedings{Xia2022oct,
    • author = {Xia, Haifeng and Wang, Pu and Ding, Zhengming},
    • title = {Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2022,
    • month = oct,
    • doi = {10.1007/978-3-031-19830-4_12},
    • isbn = {978-3-031-19830-4},
    • url = {https://www.merl.com/publications/TR2022-134}
    • }
  •  Leu, J., Wang, Y., Tomizuka, M., Di Cairano, S., "Improved A-Search Guided Tree for Autonomous Trailer Planning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2022.
    BibTeX TR2022-133 PDF
    • @inproceedings{Leu2022oct,
    • author = {Leu, Jessica and Wang, Yebin and Tomizuka, Masayoshi and Di Cairano, Stefano},
    • title = {Improved A-Search Guided Tree for Autonomous Trailer Planning},
    • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2022,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-133}
    • }
  •  Paul, S., Roy Chowdhury, A.K., Cherian, A., "AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments", Advances in Neural Information Processing Systems (NeurIPS), October 2022.
    BibTeX TR2022-131 PDF Video
    • @inproceedings{Paul2022oct2,
    • author = {Paul, Sudipta and Roy Chowdhury, Amit K and Cherian, Anoop},
    • title = {AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-131}
    • }
  •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), October 2022.
    BibTeX TR2022-129 PDF Video
    • @inproceedings{Mansour2022oct,
    • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
    • title = {Distributed Radar Autofocus Imaging Using Deep Priors},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2022,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-129}
    • }
  •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), September 2022.
    BibTeX TR2022-121 PDF Video Presentation
    • @inproceedings{Koike-Akino2022sep,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {quEEGNet: Quantum AI for Biosignal Processing},
    • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
    • year = 2022,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2022-121}
    • }
  •  Zawislak, R., Greiff, M., Kim, K.J., Berntorp, K., Di Cairano, S., Mao, K., Parsons, K., Orlik, P.V., Sato, Y., "GNSS Multipath Detection Aided by Unsupervised Domain Adaptation", ION-GNSS+ Conference, DOI: 10.33012/​2022.18333, September 2022, pp. 2127-2137.
    BibTeX TR2022-118 PDF
    • @inproceedings{Zawislak2022sep,
    • author = {Zawislak, Remy and Greiff, Marcus and Kim, Kyeong Jin and Berntorp, Karl and Di Cairano, Stefano and Mao, Konishi and Parsons, Kieran and Orlik, Philip V. and Sato, Yuki},
    • title = {GNSS Multipath Detection Aided by Unsupervised Domain Adaptation},
    • booktitle = {ION-GNSS+ Conference},
    • year = 2022,
    • pages = {2127--2137},
    • month = sep,
    • publisher = {Institute of Navigation},
    • doi = {10.33012/2022.18333},
    • url = {https://www.merl.com/publications/TR2022-118}
    • }
  •  Suda, T., Nikovski, D., "Deep Reinforcement Learning for Optimal Sailing Upwind", IEEE International Joint Conference on Neural Networks IJCNN, September 2022.
    BibTeX TR2022-102 PDF
    • @inproceedings{Suda2022sep,
    • author = {Suda, Takumi and Nikovski, Daniel},
    • title = {Deep Reinforcement Learning for Optimal Sailing Upwind},
    • booktitle = {IEEE International Joint Conference on Neural Networks IJCNN},
    • year = 2022,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2022-102}
    • }
  •  Hori, C., Hori, T., Le Roux, J., "Low-Latency Streaming Scene-aware Interaction Using Audio-Visual Transformers", Interspeech, DOI: 10.21437/​Interspeech.2022-10891, September 2022, pp. 4511-4515.
    BibTeX TR2022-116 PDF
    • @inproceedings{Hori2022sep,
    • author = {Hori, Chiori and Hori, Takaaki and Le Roux, Jonathan},
    • title = {Low-Latency Streaming Scene-aware Interaction Using Audio-Visual Transformers},
    • booktitle = {Interspeech},
    • year = 2022,
    • pages = {4511--4515},
    • month = sep,
    • doi = {10.21437/Interspeech.2022-10891},
    • url = {https://www.merl.com/publications/TR2022-116}
    • }
  •  Tzinis, E., Wichern, G., Subramanian, A.S., Smaragdis, P., Le Roux, J., "Heterogeneous Target Speech Separation", Interspeech, DOI: 10.21437/​Interspeech.2022-10717, September 2022, pp. 1796-1800.
    BibTeX TR2022-115 PDF
    • @inproceedings{Tzinis2022sep,
    • author = {Tzinis, Efthymios and Wichern, Gordon and Subramanian, Aswin Shanmugam and Smaragdis, Paris and Le Roux, Jonathan},
    • title = {Heterogeneous Target Speech Separation},
    • booktitle = {Interspeech},
    • year = 2022,
    • pages = {1796--1800},
    • month = sep,
    • doi = {10.21437/Interspeech.2022-10717},
    • url = {https://www.merl.com/publications/TR2022-115}
    • }
  •  Higuchi, Y., Moritz, N., Le Roux, J., Hori, T., "Momentum Pseudo-Labeling: Semi-Supervised ASR with Continuously Improving Pseudo-Labels", IEEE Journal of Selected Topics in Signal Processing, DOI: 10.1109/​JSTSP.2022.3195367, Vol. 16, No. 6, pp. 1424-1438, September 2022.
    BibTeX TR2022-112 PDF
    • @article{Higuchi2022sep,
    • author = {Higuchi, Yosuke and Moritz, Niko and Le Roux, Jonathan and Hori, Takaaki},
    • title = {Momentum Pseudo-Labeling: Semi-Supervised ASR with Continuously Improving Pseudo-Labels},
    • journal = {IEEE Journal of Selected Topics in Signal Processing},
    • year = 2022,
    • volume = 16,
    • number = 6,
    • pages = {1424--1438},
    • month = sep,
    • doi = {10.1109/JSTSP.2022.3195367},
    • issn = {1941-0484},
    • url = {https://www.merl.com/publications/TR2022-112}
    • }
  •  Koike-Akino, T., Wang, P., Yamashita, G., Tsujita, W., Nakajima, M., "Quantum Feature Extraction for THz Multi-Layer Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50927.2022.9896037, August 2022.
    BibTeX TR2022-110 PDF Video Presentation
    • @inproceedings{Koike-Akino2022aug,
    • author = {Koike-Akino, Toshiaki and Wang, Pu and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
    • title = {Quantum Feature Extraction for THz Multi-Layer Imaging},
    • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
    • year = 2022,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/IRMMW-THz50927.2022.9896037},
    • issn = {2162-2035},
    • isbn = {978-1-7281-9427-1},
    • url = {https://www.merl.com/publications/TR2022-110}
    • }
  •  Liu, Bryan, Koike-Akino, Toshiaki, Wang, Ye, Kim, Kyeong Jin, Brand, Matthew E., Aeron, Shuchin, Parsons, Kieran, "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", Tech. Rep. TR2022-081, Mitsubishi Electric Research Laboratories, Cambridge, MA, August 2022.
    BibTeX TR2022-081 PDF
    • @techreport{MERL_TR2022-081,
    • author = {Liu, Bryan; Koike-Akino, Toshiaki; Wang, Ye; Kim, Kyeong Jin; Brand, Matthew E.; Aeron, Shuchin; Parsons, Kieran},
    • title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
    • institution = {MERL - Mitsubishi Electric Research Laboratories},
    • address = {Cambridge, MA 02139},
    • number = {TR2022-081},
    • month = aug,
    • year = 2022,
    • url = {https://www.merl.com/publications/TR2022-081/}
    • }
  •  Kojima, K., Jung, M., Koike-Akino, T., Wang, Y., Brand, M.E., Parsons, K., "Deep Transfer Learning for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO) Pasific Rim, July 2022.
    BibTeX TR2022-107 PDF
    • @inproceedings{Kojima2022jul,
    • author = {Kojima, Keisuke and Jung, Minwoo and Koike-Akino, Toshiaki and Wang, Ye and Brand, Matthew E. and Parsons, Kieran},
    • title = {Deep Transfer Learning for Nanophotonic Device Design},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO) Pasific Rim},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-107}
    • }
  •  Koike-Akino, T., Wang, Y., "AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT50566.2022.9834769, July 2022.
    BibTeX TR2022-071 PDF Video Presentation
    • @inproceedings{Koike-Akino2022jul,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing},
    • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT50566.2022.9834769},
    • issn = {2157-8117},
    • isbn = {978-1-6654-2159-1},
    • url = {https://www.merl.com/publications/TR2022-071}
    • }
  •  Rambhatla, S., Jones, M.J., Chellappa, R., "An Empirical Analysis of Boosting Deep Networks", International Joint Conference on Neural Networks (IJCNN), July 2022.
    BibTeX TR2022-075 PDF Presentation
    • @inproceedings{Rambhatla2022jul,
    • author = {Rambhatla, Sai and Jones, Michael J. and Chellappa, Rama},
    • title = {An Empirical Analysis of Boosting Deep Networks},
    • booktitle = {International Joint Conference on Neural Networks (IJCNN)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-075}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871984, July 2022.
    BibTeX TR2022-097 PDF
    • @inproceedings{Demir2022jul,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871984},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-097}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871649, July 2022.
    BibTeX TR2022-098 PDF Software
    • @inproceedings{Smedemark-Margulies2022jul,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
    • booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871649},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-098}
    • }
  •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.
    BibTeX TR2022-096 PDF
    • @inproceedings{Cao2022jul,
    • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
    • title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
    • booktitle = {ACM/IEEE Design Automation Conference},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-096}
    • }
  •  Venkatesh, S., Wichern, G., Subramanian, A.S., Le Roux, J., "Disentangled surrogate task learning for improved domain generalization in unsupervised anomolous sound detection," Tech. Rep. TR2022-092, Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2022, July 2022.
    BibTeX TR2022-092 PDF Presentation
    • @techreport{Venkatesh2022jul,
    • author = {Venkatesh, Satvik and Wichern, Gordon and Subramanian, Aswin Shanmugam and Le Roux, Jonathan},
    • title = {Disentangled surrogate task learning for improved domain generalization in unsupervised anomolous sound detection},
    • institution = {DCASE2022 Challenge},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-092}
    • }