Internship at MERL

MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.



Program Overview

The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:

  1. Artificial Intelligence including:
    1. Machine Learning
    2. Computer Vision
    3. Speech Recognition
    4. Acoustic Analysis
    5. Data Analytics
  2. Cyber-Physical Systems including:
    1. Signal Processing
    2. Digital & Optical Communications
    3. Multi-Physical Modeling
    4. Planning, Optimization & Control
    5. Dynamical Systems
  3. Design of Algorithms and Semiconductor Devices

The primary intent of MERL's internship program is to provide interns with experiences that help them enhance and accelerate their professional career, while contributing to new or ongoing initiatives at MERL. Interns are exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. Interns have a chance to become familiar with the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.

MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.

Set Your Own Path - Internships at MERL

The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around January/February to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.

Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL organizes a number of social activities for interns. Some past activities included BBQ outings, whale watching and movie nights.

The key benefits of interning at MERL:

  1. Experience: At MERL, you work closely with top researchers and participate in a lab-wide R&D culture with a unique mix of curiosity-driven research and market-oriented prototyping.
  2. Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.
  3. Compensation: MERL offers competitive salaries based on relevant education, skills, and work experience.
  4. Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; and entertainment events for interns to get to know Boston and each other.
  5. Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many venues.
  6. Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.
View Internship Openings
  • Recent Publications with MERL Interns

    Publications are an important output of MERL's research, and internships often lead to one or more publications. Below is a sample listing of some recent publications that include interns as co-authors. Please visit our publications page for a complete listing of MERL papers.

    •  Jayashankar, T., Le Roux, J., Moulin, P., "Detecting Audio Attacks on ASR Systems with Dropout Uncertainty", Annual Conference of the International Speech Communication Association (Interspeech), October 2020.
      BibTeX TR2020-137 PDF
      • @inproceedings{Jayashankar2020oct,
      • author = {Jayashankar, Tejas and Le Roux, Jonathan and Moulin, Pierre},
      • title = {Detecting Audio Attacks on ASR Systems with Dropout Uncertainty},
      • booktitle = {Annual Conference of the International Speech Communication Association (Interspeech)},
      • year = 2020,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2020-137}
      • }
    •  Manilow, E., Wichern, G., Le Roux, J., "Hierarchical Musical Instrument Separation", International Society for Music Information Retrieval (ISMIR) Conference, October 2020.
      BibTeX TR2020-136 PDF
      • @inproceedings{Manilow2020oct,
      • author = {Manilow, Ethan and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Hierarchical Musical Instrument Separation},
      • booktitle = {International Society for Music Information Retrieval (ISMIR) Conference},
      • year = 2020,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2020-136}
      • }
    •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference", arXiv, October 2020.
      BibTeX arXiv
      • @article{Demir2020oct,
      • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
      • title = {AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference},
      • journal = {arXiv},
      • year = 2020,
      • month = oct,
      • url = {https://arxiv.org/abs/2007.01255}
      • }
    •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Wu, P., TaherSima, M., Jha, D., Parsons, K., Qi, M., "Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices", Lasers and Photonics Reviews, DOI: 10.1002/lpor.202000287, Vol. 2020, pp. 2000287, October 2020.
      BibTeX TR2020-135 PDF
      • @article{Tang2020oct,
      • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Wu, Pengxiang and TaherSima, Mohammad and Jha, Devesh and Parsons, Kieran and Qi, Minghao},
      • title = {Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices},
      • journal = {Lasers and Photonics Reviews},
      • year = 2020,
      • volume = 2020,
      • pages = 2000287,
      • month = oct,
      • doi = {10.1002/lpor.202000287},
      • url = {https://www.merl.com/publications/TR2020-135}
      • }
    •  Han, M., Ozdenizci, O., Koike-Akino, T., Wang, Y., Erdogmus, D., "Soft-Disentangled Adversarial Transfer Learning for Universal Physiological Feature Extraction", arXiv, September 2020.
      BibTeX arXiv
      • @article{Han2020sep2,
      • author = {Han, Mo and Ozdenizci, Ozan and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
      • title = {Soft-Disentangled Adversarial Transfer Learning for Universal Physiological Feature Extraction},
      • journal = {arXiv},
      • year = 2020,
      • month = sep,
      • url = {https://arxiv.org/abs/2009.13453}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "HoloCast+: Hybrid Digital-Analog Transmission for Graceful Point Cloud Delivery with Graph Fourier Transform", arXiv, September 2020.
      BibTeX
      • @article{Fujihashi2020sep,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {HoloCast+: Hybrid Digital-Analog Transmission for Graceful Point Cloud Delivery with Graph Fourier Transform},
      • journal = {arXiv},
      • year = 2020,
      • month = sep
      • }
    •  Seetharaman, P., Wichern, G., Pardo, B., Le Roux, J., "Autoclip: Adaptive Gradient Clipping For Source Separation Networks", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September 2020.
      BibTeX TR2020-132 PDF
      • @inproceedings{Seetharaman2020sep,
      • author = {Seetharaman, Prem and Wichern, Gordon and Pardo, Bryan and Le Roux, Jonathan},
      • title = {Autoclip: Adaptive Gradient Clipping For Source Separation Networks},
      • booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-132}
      • }
    •  Gao, P., Hori, C., Geng, S., Hori, T., Le Roux, J., "Multi-Pass Transformer for Machine Translation", arXiv, September 2020.
      BibTeX arXiv
      • @article{Gao2020sep,
      • author = {Gao, Peng and Hori, Chiori and Geng, Shijie and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Multi-Pass Transformer for Machine Translation},
      • journal = {arXiv},
      • year = 2020,
      • month = sep,
      • url = {http://arxiv.org/abs/2009.11382}
      • }
    •  Xia, Y., Wang, P., Berntorp, K., Boufounos, P.T., Orlik, P.V., Svensson, L., Granstrom, K., "Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model", IEEE Radar Conference (RadarCon), September 2020.
      BibTeX TR2020-131 PDF
      • @inproceedings{Xia2020sep,
      • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Boufounos, Petros T. and Orlik, Philip V. and Svensson, Lennart and Granstrom, Karl},
      • title = {Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model},
      • booktitle = {IEEE Radar Conference (RadarCon)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-131}
      • }
    •  Kalabic, U., Chiu, M., "Cap-and-trade scheme for ridesharing", Intelligent Transportation Systems Conference, September 2020.
      BibTeX TR2020-129 PDF
      • @inproceedings{Kalabic2020sep,
      • author = {Kalabic, Uros and Chiu, Michael},
      • title = {Cap-and-trade scheme for ridesharing},
      • booktitle = {Intelligent Transportation Systems Conference},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-129}
      • }
    •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D., Parsons, K., TaherSima, M., Sang, F., Klamkin, J., Qi, M., "Inverse Design of Nanophotonic Devices using Deep Neural Networks", Asia Communications and Photonics Conference (ACP), September 2020.
      BibTeX TR2020-130 PDF
      • @inproceedings{Kojima2020sep,
      • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh and Parsons, Kieran and TaherSima, Mohammad and Sang, Fengqiao and Klamkin, Jonathan and Qi, Minghao},
      • title = {Inverse Design of Nanophotonic Devices using Deep Neural Networks},
      • booktitle = {Asia Communications and Photonics Conference (ACP)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-130}
      • }
    •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction", IEEE Signal Processing Letters, DOI: 10.1109/LSP.2020.3020215, Vol. 27, pp. 1565-1569, September 2020.
      BibTeX TR2020-128 PDF
      • @article{Han2020sep,
      • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction},
      • journal = {IEEE Signal Processing Letters},
      • year = 2020,
      • volume = 27,
      • pages = {1565--1569},
      • month = sep,
      • doi = {10.1109/LSP.2020.3020215},
      • issn = {1558-2361},
      • url = {https://www.merl.com/publications/TR2020-128}
      • }
    •  Pishdadian, F., Wichern, G., Le Roux, J., "Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision", IEEE/ACM Transactions on Audio, Speech, and Language Processing, September 2020.
      BibTeX TR2020-126 PDF
      • @article{Pishdadian2020sep,
      • author = {Pishdadian, Fatemeh and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-126}
      • }
    •  Greiff, M., Robertsson, A., Berntorp, K., "MSE-optimal measurement dimension reduction in Gaussian filtering*", Conference on Control Technology and Applications (CCTA), August 2020.
      BibTeX TR2020-124 PDF
      • @inproceedings{Greiff2020aug,
      • author = {Greiff, Marcus and Robertsson, Anders and Berntorp, Karl},
      • title = {MSE-optimal measurement dimension reduction in Gaussian filtering*},
      • booktitle = {Conference on Control Technology and Applications (CCTA)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-124}
      • }
    •  Zhou, L., Wang, Y., "Improve Speed Estimation for Speed-Sensorless Induction Machines: A Variable Adaptation Gain and Feedforward Approach", International Conference on Electrical Machines (ICEM), August 2020.
      BibTeX TR2020-123 PDF
      • @inproceedings{Zhou2020aug,
      • author = {Zhou, Lei and Wang, Yebin},
      • title = {Improve Speed Estimation for Speed-Sensorless Induction Machines: A Variable Adaptation Gain and Feedforward Approach},
      • booktitle = {International Conference on Electrical Machines (ICEM)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-123}
      • }
    •  Venkataramanan, S., Kuan-Chuan, P., Singh, R.V., Mahalanobis, A., "Attention Guided Anomaly Localization in Images", European Conference on Computer Vision (ECCV), August 2020.
      BibTeX
      • @inproceedings{Venkataramanan2020aug,
      • author = {Venkataramanan, Shashanka and Kuan-Chuan, Peng and Singh, Rajat, V. and Mahalanobis, Abhijit},
      • title = {Attention Guided Anomaly Localization in Images},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2020,
      • month = aug
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links", arXiv, August 2020.
      BibTeX arXiv
      • @article{Skvortcov2020aug,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links},
      • journal = {arXiv},
      • year = 2020,
      • month = aug,
      • url = {https://arxiv.org/abs/2008.02313}
      • }
    •  Jones, M.J., Ramachandra, B., Vatsavai, R., "A Survey of Single-Scene Video Anomaly Detection", arXiv, August 2020.
      BibTeX
      • @article{Jones2020aug,
      • author = {Jones, Michael J. and Ramachandra, Bharathkumar and Vatsavai, Ranga},
      • title = {A Survey of Single-Scene Video Anomaly Detection},
      • journal = {arXiv},
      • year = 2020,
      • month = aug
      • }
    •  Cherian, A., Chatterjee, M., Ahuja, N., "Sound2Sight: Generating Visual Dynamics from Sound and Context", European Conference on Computer Vision (ECCV), August 2020.
      BibTeX TR2020-121 PDF
      • @inproceedings{Cherian2020aug,
      • author = {Cherian, Anoop and Chatterjee, Moitreya and Ahuja, Narendra},
      • title = {Sound2Sight: Generating Visual Dynamics from Sound and Context},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-121}
      • }
    •  Hu, W., Pang, J., Liu, X., Tian, D., Lin, C.-W., Vetro, A., "Graph Signal Processing for Geometric Data and Beyond: Theory and Applications", arXiv, August 2020.
      BibTeX arXiv
      • @article{Hu2020aug,
      • author = {Hu, Wei and Pang, Jiahao and Liu, Xianming and Tian, Dong and Lin, Chia-Wen and Vetro, Anthony},
      • title = {Graph Signal Processing for Geometric Data and Beyond: Theory and Applications},
      • journal = {arXiv},
      • year = 2020,
      • month = aug,
      • url = {https://arxiv.org/abs/2008.01918}
      • }
    •  Romero, O., Benosman, M., "Robust Time-Varying Continuous-Time Optimization with Pre-Defined Finite-Time Stability", World Congress of the International Federation of Automatic Control (IFAC), August 2020.
      BibTeX TR2020-120 PDF
      • @inproceedings{Romero2020aug,
      • author = {Romero, Orlando and Benosman, Mouhacine},
      • title = {Robust Time-Varying Continuous-Time Optimization with Pre-Defined Finite-Time Stability},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-120}
      • }
    •  Steeves, D., Camacho-Solorio, L., Benosman, M., Krstic, M., "Prescribed–time tracking for triangular systems of reaction–diffusion PDEs", World Congress of the International Federation of Automatic Control (IFAC), July 2020.
      BibTeX TR2020-118 PDF
      • @inproceedings{Steeves2020jul,
      • author = {Steeves, Drew and Camacho-Solorio, Leobardo and Benosman, Mouhacine and Krstic, Miroslav},
      • title = {Prescribed–time tracking for triangular systems of reaction–diffusion PDEs},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-118}
      • }
    •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Model-Agnostic Meta-Learning-Based Few-Shot Bearing Anomaly Detection", arXiv, July 2020.
      BibTeX
      • @article{Zhang2020jul,
      • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
      • title = {Model-Agnostic Meta-Learning-Based Few-Shot Bearing Anomaly Detection},
      • journal = {arXiv},
      • year = 2020,
      • month = jul
      • }
    •  Wang, Y., Aeron, S., Rakin, A.S., Koike-Akino, T., Moulin, P., "Robust Machine Learning via Privacy/Rate-Distortion Theory", arXiv, July 2020.
      BibTeX arXiv
      • @article{Wang2020jul,
      • author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan S and Koike-Akino, Toshiaki and Moulin, Pierre},
      • title = {Robust Machine Learning via Privacy/Rate-Distortion Theory},
      • journal = {arXiv},
      • year = 2020,
      • month = jul,
      • url = {https://arxiv.org/abs/2007.11693}
      • }
    •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Transfer Learning for Physiological Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), DOI: 10.1109/EMBC44109.2020.9175233, July 2020.
      BibTeX TR2020-109 PDF Video
      • @inproceedings{Han2020jul,
      • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Disentangled Adversarial Transfer Learning for Physiological Biosignals},
      • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
      • year = 2020,
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/EMBC44109.2020.9175233},
      • issn = {1558-4615},
      • isbn = {978-1-7281-1990-8},
      • url = {https://www.merl.com/publications/TR2020-109}
      • }
    •  Liu, D., Chen, S., Boufounos, P.T., "Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2020.
      BibTeX TR2020-114 PDF Video
      • @inproceedings{Liu2020jul,
      • author = {Liu, Dehong and Chen, Siheng and Boufounos, Petros T.},
      • title = {Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar},
      • booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-114}
      • }
    •  Xu, X., Dhifallah, O., Mansour, H., Boufounos, P.T., Orlik, P.V., "Robust 3D Tomographic Imaging of the Iononspheric Electron Density", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2020.
      BibTeX TR2020-113 PDF
      • @inproceedings{Xu2020jul,
      • author = {Xu, Xiaojian and Dhifallah, Oussama and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
      • title = {Robust 3D Tomographic Imaging of the Iononspheric Electron Density},
      • booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-113}
      • }
    •  Seetharaman, P., Wichern, G., Le Roux, J., Pardo, B., "Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles", ICML 2020 Workshop on Self-supervision in Audio and Speech, July 2020.
      BibTeX TR2020-111 PDF
      • @inproceedings{Seetharaman2020jul,
      • author = {Seetharaman, Prem and Wichern, Gordon and Le Roux, Jonathan and Pardo, Bryan},
      • title = {Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles},
      • booktitle = {ICML 2020 Workshop on Self-supervision in Audio and Speech},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-111}
      • }
    •  Tsiligkaridis, A., Zhang, J., Taguchi, H., Nikovski, D.N., "Personalized Destination Prediction Using Transformers in a Contextless Data Setting", IEEE World Congress on Computational Intelligence (WCCI), DOI: 10.1109/IJCNN48605.2020.9207514, July 2020.
      BibTeX TR2020-112 PDF
      • @inproceedings{Tsiligkaridis2020jul,
      • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Taguchi, Hiroshi and Nikovski, Daniel N.},
      • title = {Personalized Destination Prediction Using Transformers in a Contextless Data Setting},
      • booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
      • year = 2020,
      • month = jul,
      • doi = {10.1109/IJCNN48605.2020.9207514},
      • url = {https://www.merl.com/publications/TR2020-112}
      • }
    •  Chakrabarty, A., Jha, D., Buzzard, G.T., Wang, Y., Vamvoudakis, K., "Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation", IEEE Transactions on Neural Networks and Learning Systems, July 2020.
      BibTeX TR2020-108 PDF
      • @article{Chakrabarty2020jul2,
      • author = {Chakrabarty, Ankush and Jha, Devesh and Buzzard, Gregery T. and Wang, Yebin and Vamvoudakis, Kyriakos},
      • title = {Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation},
      • journal = {IEEE Transactions on Neural Networks and Learning Systems},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-108}
      • }
    •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis", arXiv, July 2020.
      BibTeX arXiv
      • @article{Demir2020jul,
      • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
      • title = {AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis},
      • journal = {arXiv},
      • year = 2020,
      • month = jul,
      • url = {https://arxiv.org/abs/2007.01255}
      • }
    •  Romeres, D., Liu, Y., Jha, D., Nikovski, D.N., "Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks", Robotics: Science and Systems, July 2020.
      BibTeX TR2020-110 PDF
      • @inproceedings{Romeres2020jul,
      • author = {Romeres, Diego and Liu, Yifang and Jha, Devesh and Nikovski, Daniel N.},
      • title = {Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks},
      • booktitle = {Robotics: Science and Systems},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-110}
      • }
    •  Geng, S., Gao, P., Hori, C., Le Roux, J., Cherian, A., "Spatio-Temporal Scene Graphs for Video Dialo", arXiv, July 2020.
      BibTeX arXiv
      • @article{Geng2020jul,
      • author = {Geng, Shijie and Gao, Peng and Hori, Chiori and Le Roux, Jonathan and Cherian, Anoop},
      • title = {Spatio-Temporal Scene Graphs for Video Dialo},
      • journal = {arXiv},
      • year = 2020,
      • month = jul,
      • url = {https://arxiv.org/abs/2007.03848}
      • }
    •  Romero, O., Benosman, M., "Finite-Time Convergence in Continuous-Time Optimization", International Conference on Machine Learning (ICML), July 2020.
      BibTeX TR2020-100 PDF
      • @inproceedings{Romero2020jul,
      • author = {Romero, Orlando and Benosman, Mouhacine},
      • title = {Finite-Time Convergence in Continuous-Time Optimization},
      • booktitle = {International Conference on Machine Learning},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-100}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning", Transactions on Intelligent Vehicles, July 2020.
      BibTeX TR2020-106 PDF
      • @article{Menner2020jul,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning},
      • journal = {Transactions on Intelligent Vehicles},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-106}
      • }
    •  Quirynen, R., Frey, J., Di Cairano, S., "Active-Set based Inexact Interior Point QP Solver for Model Predictive Control", World Congress of the International Federation of Automatic Control (IFAC), July 2020.
      BibTeX TR2020-105 PDF
      • @inproceedings{Quirynen2020jul3,
      • author = {Quirynen, Rien and Frey, Jonathan and Di Cairano, Stefano},
      • title = {Active-Set based Inexact Interior Point QP Solver for Model Predictive Control},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-105}
      • }
    •  Quirynen, R., Feng, X., Di Cairano, S., "Inexact Adjoint-based SQP Algorithm for Real-Time Stochastic Nonlinear MPC", World Congress of the International Federation of Automatic Control (IFAC), July 2020.
      BibTeX TR2020-103 PDF
      • @inproceedings{Quirynen2020jul2,
      • author = {Quirynen, Rien and Feng, Xuhui and Di Cairano, Stefano},
      • title = {Inexact Adjoint-based SQP Algorithm for Real-Time Stochastic Nonlinear MPC},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-103}
      • }
    •  Muralidharan, V., Weiss, A., Kalabic, U., "Tracking neighboring quasi-satellite orbits around Phobos", World Congress of the International Federation of Automatic Control (IFAC), July 2020.
      BibTeX TR2020-102 PDF
      • @inproceedings{Muralidharan2020jul,
      • author = {Muralidharan, Vivek and Weiss, Avishai and Kalabic, Uros},
      • title = {Tracking neighboring quasi-satellite orbits around Phobos},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-102}
      • }
    •  Maske, H., Chu, T., Kalabic, U., "Control of traffic light timing using decentralized deep reinforcement learning", World Congress of the International Federation of Automatic Control (IFAC), July 2020.
      BibTeX TR2020-101 PDF
      • @inproceedings{Maske2020jul,
      • author = {Maske, Harshal and Chu, Tianshu and Kalabic, Uros},
      • title = {Control of traffic light timing using decentralized deep reinforcement learning},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-101}
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links", IEEE Photonics Technology Letters, DOI: 10.1109/LPT.2020.3006737, Vol. 32, No. 16, pp. 967-970, July 2020.
      BibTeX TR2020-107 PDF
      • @article{Skvortcov2020jul,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links},
      • journal = {IEEE Photonics Technology Letters},
      • year = 2020,
      • volume = 32,
      • number = 16,
      • pages = {967--970},
      • month = jul,
      • doi = {10.1109/LPT.2020.3006737},
      • issn = {1941-0174},
      • url = {https://www.merl.com/publications/TR2020-107}
      • }
    •  Chen, S., Li, M., Zhang, Y., "Sampling and Recovery of Graph Signals based on Graph Neural Networks", arXiv, July 2020.
      BibTeX
      • @article{Chen2020jul,
      • author = {Chen, Siheng and Li, Maosen and Zhang, Ya},
      • title = {Sampling and Recovery of Graph Signals based on Graph Neural Networks},
      • journal = {arXiv},
      • year = 2020,
      • month = jul
      • }
    •  Greiff, M., Berntorp, K., "Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147675, July 2020, pp. 4435-4441.
      BibTeX TR2020-097 PDF
      • @inproceedings{Greiff2020jul,
      • author = {Greiff, Marcus and Berntorp, Karl},
      • title = {Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • pages = {4435--4441},
      • month = jul,
      • doi = {10.23919/ACC45564.2020.9147675},
      • url = {https://www.merl.com/publications/TR2020-097}
      • }
    •  Hansen, E., Wang, Y., "Improving Path Accuracy for Autonomous Parking Systems: An Optimal Control Approach", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147980, July 2020, pp. 5243-5249.
      BibTeX TR2020-099 PDF
      • @inproceedings{Hansen2020jul,
      • author = {Hansen, Emma and Wang, Yebin},
      • title = {Improving Path Accuracy for Autonomous Parking Systems: An Optimal Control Approach},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • pages = {5243--5249},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC45564.2020.9147980},
      • url = {https://www.merl.com/publications/TR2020-099}
      • }
    •  Quirynen, R., Berntorp, K., Kambam, K., Di Cairano, S., "Integrated Obstacle Detection and Avoidance in Motion Planning and Predictive Control of Autonomous Vehicles", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147820, July 2020.
      BibTeX TR2020-096 PDF
      • @inproceedings{Quirynen2020jul,
      • author = {Quirynen, Rien and Berntorp, Karl and Kambam, Karthik and Di Cairano, Stefano},
      • title = {Integrated Obstacle Detection and Avoidance in Motion Planning and Predictive Control of Autonomous Vehicles},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • month = jul,
      • doi = {10.23919/ACC45564.2020.9147820},
      • url = {https://www.merl.com/publications/TR2020-096}
      • }
    •  Sahin, Y.E., Quirynen, R., Di Cairano, S., "Autonomous Vehicle Decision-Making and Monitoring based on Signal Temporal Logic and Mixed-Integer Programming", American Control Conference (ACC), July 2020.
      BibTeX TR2020-095 PDF
      • @inproceedings{Sahin2020jul,
      • author = {Sahin, Yunus Emre and Quirynen, Rien and Di Cairano, Stefano},
      • title = {Autonomous Vehicle Decision-Making and Monitoring based on Signal Temporal Logic and Mixed-Integer Programming},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-095}
      • }
    •  Aguilar Marsillach, D., Di Cairano, S., Weiss, A., "Fail-safe Rendezvous Control on Elliptic Orbits using Reachable Sets", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147957, July 2020, pp. 4920-4925.
      BibTeX TR2020-098 PDF
      • @inproceedings{AguilarMarsillach2020jul,
      • author = {Aguilar Marsillach, Daniel and Di Cairano, Stefano and Weiss, Avishai},
      • title = {Fail-safe Rendezvous Control on Elliptic Orbits using Reachable Sets},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • pages = {4920--4925},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC45564.2020.9147957},
      • issn = {2378-5861},
      • isbn = {978-1-5386-8266-1},
      • url = {https://www.merl.com/publications/TR2020-098}
      • }
    •  Cherian, A., Aeron, S., "Representation Learning via Adversarially-Contrastive Optimal Transport", International Conference on Machine Learning (ICML), July 2020.
      BibTeX TR2020-093 PDF
      • @inproceedings{Cherian2020jul,
      • author = {Cherian, Anoop and Aeron, Shuchin},
      • title = {Representation Learning via Adversarially-Contrastive Optimal Transport},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-093}
      • }
    •  Vijayshankar, S., Nabi, S., Chakrabarty, A., Grover, P., Benosman, M., "Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147823, July 2020, pp. 2351-2356.
      BibTeX TR2020-091 PDF
      • @inproceedings{Vijayshankar2020jul,
      • author = {Vijayshankar, Sanjana and Nabi, Saleh and Chakrabarty, Ankush and Grover, Piyush and Benosman, Mouhacine},
      • title = {Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • pages = {2351--2356},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC45564.2020.9147823},
      • issn = {2378-5861},
      • isbn = {978-1-5386-8266-1},
      • url = {https://www.merl.com/publications/TR2020-091}
      • }
    •  Konno, N., Raghunathan, A., "Data-Driven Joint Optimization of Pricing and Seat Allocation in Trains", WIT Transactions on The Built Environment, DOI: 10.2495/CR200351, Vol. 199, pp. 379-392, July 2020.
      BibTeX TR2020-094 PDF
      • @article{Konno2020jul,
      • author = {Konno, Naoto and Raghunathan, Arvind},
      • title = {Data-Driven Joint Optimization of Pricing and Seat Allocation in Trains},
      • journal = {WIT Transactions on The Built Environment},
      • year = 2020,
      • editor = {G. Passerini; J.M. Mera and R. Takagi},
      • volume = 199,
      • pages = {379--392},
      • month = jul,
      • doi = {10.2495/CR200351},
      • url = {https://www.merl.com/publications/TR2020-094}
      • }
    •  Jha, D., Wang, Y., Zhu, M., "Sampling-based Algorithms for Feedback Motion Planning", arXiv, June 2020.
      BibTeX
      • @article{Jha2020jun,
      • author = {Jha, Devesh and Wang, Yebin and Zhu, Minghui},
      • title = {Sampling-based Algorithms for Feedback Motion Planning},
      • journal = {arXiv},
      • year = 2020,
      • month = jun
      • }
    •  Nohra, C.J., Raghunathan, A., Sahinidis, N.V., "Spectral relaxations and branching strategies for global optimization of mixed-integer quadratic programs", arXiv, DOI: arXiv:2010.04822, pp. 1-33, June 2020.
      BibTeX arXiv
      • @article{Nohra2020jun,
      • author = {Nohra, Carlos J. and Raghunathan, Arvind and Sahinidis, Nikolaos V.},
      • title = {Spectral relaxations and branching strategies for global optimization of mixed-integer quadratic programs},
      • journal = {arXiv},
      • year = 2020,
      • pages = {1--33},
      • month = jun,
      • doi = {arXiv:2010.04822},
      • url = {https://arxiv.org/abs/2010.04822}
      • }
    •  Tian, N., Fang, H., Wang, Y., "Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.2983176, June 2020.
      BibTeX TR2020-090 PDF
      • @article{Tian2020jun,
      • author = {Tian, Ning and Fang, Huazhen and Wang, Yebin},
      • title = {Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control},
      • journal = {IEEE Transactions on Industrial Informatics},
      • year = 2020,
      • month = jun,
      • doi = {10.1109/TII.2020.2983176},
      • url = {https://www.merl.com/publications/TR2020-090}
      • }
    •  Romero, O., Benosman, M., "Time-Varying Continuous-Time Optimization with Pre-Defined Finite-Time Stability", International Journal of Control, June 2020.
      BibTeX TR2020-088 PDF
      • @article{Romero2020jun2,
      • author = {Romero, Orlando and Benosman, Mouhacine},
      • title = {Time-Varying Continuous-Time Optimization with Pre-Defined Finite-Time Stability},
      • journal = {International Journal of Control},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-088}
      • }
    •  Romero, O., Benosman, M., "Continuous-Time Optimization of Time-Varying Cost Functions via Finite-Time Stability with Pre-Defined Convergence Time", American Control Conference (ACC), June 2020.
      BibTeX TR2020-085 PDF
      • @inproceedings{Romero2020jun,
      • author = {Romero, Orlando and Benosman, Mouhacine},
      • title = {Continuous-Time Optimization of Time-Varying Cost Functions via Finite-Time Stability with Pre-Defined Convergence Time},
      • booktitle = {American Control Conference (ACC)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-085}
      • }
    •  Ota, K., Oiki, T., Jha, D., Mariyama, T., Nikovski, D.N., "Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?", International Conference on Machine Learning (ICML), June 2020.
      BibTeX TR2020-083 PDF Software
      • @inproceedings{Ota2020jun,
      • author = {Ota, Kei and Oiki, Tomoaki and Jha, Devesh and Mariyama, Toshisada and Nikovski, Daniel N.},
      • title = {Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-083}
      • }
    •  Lee, G., Guo, J., Kim, K.J., Orlik, P.V., Ahn, H., Di Cairano, S., Saad, W., "Edge Computing for Interconnected Intersections in Internet of Vehicles", IEEE Intelligent Vehicles Symposium, June 2020.
      BibTeX TR2020-081 PDF
      • @inproceedings{Lee2020jun,
      • author = {Lee, Gilsoo and Guo, Jianlin and Kim, Kyeong Jin and Orlik, Philip V. and Ahn, Heejin and Di Cairano, Stefano and Saad, Walid},
      • title = {Edge Computing for Interconnected Intersections in Internet of Vehicles},
      • booktitle = {IEEE Intelligent Vehicles Symposium},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-081}
      • }
    •  Huang, T., Sun, H., Kim, K.J., Nikovski, D.N., Xie, L., "A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters", IEEE Power & Energy Society General Meeting (PES), June 2020.
      BibTeX TR2020-082 PDF
      • @inproceedings{Huang2020jun,
      • author = {Huang, Tong and Sun, Hongbo and Kim, Kyeong Jin and Nikovski, Daniel N. and Xie, Le},
      • title = {A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters},
      • booktitle = {IEEE Power & Energy Society General Meeting (PES)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-082}
      • }
    •  Sravan Kumar, P., Ma, R., "Design Considerations and FPGA Implementation of a Wideband All-Digital Transmit Beamformer with 50% Fractional Bandwidth", IEEE International Microwave Symposium (IMS), June 2020.
      BibTeX TR2020-078 PDF
      • @inproceedings{SravanKumar2020jun,
      • author = {Sravan Kumar, Pulipati and Ma, Rui},
      • title = {Design Considerations and FPGA Implementation of a Wideband All-Digital Transmit Beamformer with 50% Fractional Bandwidth},
      • booktitle = {IEEE International Microwave Symposium (IMS)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-078}
      • }
    •  Benosman, M., Chakrabarty, A., Borggaard, J., "Reinforcement Learning-based Model Reduction for Partial Differential Equations", World Congress of the International Federation of Automatic Control (IFAC), June 2020.
      BibTeX TR2020-076 PDF
      • @inproceedings{Benosman2020jun,
      • author = {Benosman, Mouhacine and Chakrabarty, Ankush and Borggaard, Jeff},
      • title = {Reinforcement Learning-based Model Reduction for Partial Differential Equations},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-076}
      • }
    •  Anirudh, R., Lohit, S., Turaga, P., "Generative Patch Priors for Practical Compressive Image Recovery", arXiv, June 2020.
      BibTeX arXiv
      • @article{Anirudh2020jun,
      • author = {Anirudh, Rushil and Lohit, Suhas and Turaga, Pavan},
      • title = {Generative Patch Priors for Practical Compressive Image Recovery},
      • journal = {arXiv},
      • year = 2020,
      • month = jun,
      • url = {https://arxiv.org/abs/2006.10873}
      • }
    •  Kalabic, U., Grover, P., Aeron, S., "Optimization-based incentivization and control scheme for autonomous traffic", IEEE Intelligent Vehicle Symposium, June 2020.
      BibTeX TR2020-079 PDF
      • @inproceedings{Kalabic2020jun,
      • author = {Kalabic, Uros and Grover, Piyush and Aeron, Shuchin},
      • title = {Optimization-based incentivization and control scheme for autonomous traffic},
      • booktitle = {IEEE Intelligent Vehicle Symposium},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-079}
      • }
    •  Li, M., Chen, S., Zhao, Y., Zhang, Y., Wang, Y., Tia, Q., "Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-073 PDF
      • @inproceedings{Li2020jun,
      • author = {Li, Maosen and Chen, Sihen and Zhao, Yangheng and Zhang, Ya and Wang, Yanfeng and Tia, Qi},
      • title = {Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-073}
      • }
    •  Chen, S., Zhao, L., Eldar, Y., "Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising", arXiv, June 2020.
      BibTeX
      • @article{Chen2020jun,
      • author = {Chen, Siheng and Zhao, Lingxiao and Eldar, Yonina},
      • title = {Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising},
      • journal = {arXiv},
      • year = 2020,
      • month = jun
      • }
    •  Xia, Y., Wang, P., Berntorp, K., Mansour, H., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking Using Hierarchical Truncation Model With Partial-View Measurements", IEEE Sensor Array & Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/SAM48682.2020.9104388, June 2020.
      BibTeX TR2020-069 PDF
      • @inproceedings{Xia2020jun,
      • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
      • title = {Extended Object Tracking Using Hierarchical Truncation Model With Partial-View Measurements},
      • booktitle = {IEEE Sensor Array & Multichannel Signal Processing Workshop (SAM)},
      • year = 2020,
      • month = jun,
      • doi = {10.1109/SAM48682.2020.9104388},
      • url = {https://www.merl.com/publications/TR2020-069}
      • }
    •  Kumar, A., Marks, T., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-067 PDF Video Data
      • @inproceedings{Kumar2020jun,
      • author = {Kumar, Abhinav and Marks, Tim and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
      • title = {LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-067}
      • }
    •  Wu, P., Chen, S., "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-068 PDF Software
      • @inproceedings{Wu2020jun,
      • author = {Wu, Pengxiang and Chen, Siheng},
      • title = {MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-068}
      • }
    •  Fujihashi, T., Koike-Akino, T., Chen, S., Watanabe, T., "Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks", arXiv, June 2020.
      BibTeX arXiv
      • @article{Fujihashi2020jun,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Chen, Siheng and Watanabe, Takashi},
      • title = {Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks},
      • journal = {arXiv},
      • year = 2020,
      • month = jun,
      • url = {https://arxiv.org/abs/2006.09835}
      • }
    •  Onol, A.O., Corcodel, R., Long, P., Padir, T., "Tuning-Free Contact-Implicit Trajectory Optimization", IEEE International Conference on Robotics and Automation (ICRA), May 2020.
      BibTeX TR2020-065 PDF Video Software
      • @inproceedings{Onol2020may,
      • author = {Onol, Aykut O. and Corcodel, Radu and Long, Philip and Padir, Taskin},
      • title = {Tuning-Free Contact-Implicit Trajectory Optimization},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-065}
      • }
    •  Chen, S., Liu, B., Feng, C., Vallespi-Gonzalez, C., Wellington, C., "3D Point Cloud Processing and Learning for Autonomous Driving", IEEE Signal Processing Magazine, May 2020.
      BibTeX TR2020-066 PDF
      • @article{Chen2020may2,
      • author = {Chen, Siheng and Liu, Baoan and Feng, Chen and Vallespi-Gonzalez, Carlos and Wellington, Carl},
      • title = {3D Point Cloud Processing and Learning for Autonomous Driving},
      • journal = {IEEE Signal Processing Magazine},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-066}
      • }
    •  Jha, D., Kolaric, P., Raghunathan, A., Lewis, F., Benosman, M., Romeres, D., Nikovski, D.N., "Local Policy Optimization for Trajectory-Centric Reinforcement Learning", IEEE International Conference on Robotics and Automation (ICRA), Ayanna Howard, Eds., May 2020, pp. 5094-5100.
      BibTeX TR2020-062 PDF
      • @inproceedings{Jha2020may,
      • author = {Jha, Devesh and Kolaric, Patrik and Raghunathan, Arvind and Lewis, Frank and Benosman, Mouhacine and Romeres, Diego and Nikovski, Daniel N.},
      • title = {Local Policy Optimization for Trajectory-Centric Reinforcement Learning},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2020,
      • editor = {Ayanna Howard},
      • pages = {5094--5100},
      • month = may,
      • publisher = {IEEE},
      • isbn = {978-1-7281-7395-5},
      • url = {https://www.merl.com/publications/TR2020-062}
      • }
    •  Romeres, D., Dalla Libera, A., Jha, D., Yerazunis, W.S., Nikovski, D.N., "Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements", Robotics and Automation Letters, DOI: 10.1109/LRA.2020.2977255, Vol. 5, No. 2, pp. 3548-3555, May 2020.
      BibTeX TR2020-063 PDF
      • @article{Romeres2020may,
      • author = {Romeres, Diego and Dalla Libera, Alberto and Jha, Devesh and Yerazunis, William S. and Nikovski, Daniel N.},
      • title = {Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements},
      • journal = {Robotics and Automation Letters},
      • year = 2020,
      • volume = 5,
      • number = 2,
      • pages = {3548--3555},
      • month = may,
      • doi = {10.1109/LRA.2020.2977255},
      • issn = {2377-3766},
      • url = {https://www.merl.com/publications/TR2020-063}
      • }
    •  Chen, S., Zhang, N., Sun, H., "Collaborative Localization Based on Traffic Landmarks for Autonomous Driving", IEEE International Symposium on Circuits and Systems (ISCAS), May 2020.
      BibTeX TR2020-064 PDF
      • @inproceedings{Chen2020may,
      • author = {Chen, Siheng and Zhang, Ningxiao and Sun, Huifang},
      • title = {Collaborative Localization Based on Traffic Landmarks for Autonomous Driving},
      • booktitle = {IEEE International Symposium on Circuits and Systems (ISCAS)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-064}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "Overhead Reduction in Graph-Based Point Cloud Delivery", IEEE International Conference on Communications (ICC), DOI: 10.1109/ICC40277.2020.9148650, May 2020.
      BibTeX TR2020-061 PDF Video
      • @inproceedings{Fujihashi2020may2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {Overhead Reduction in Graph-Based Point Cloud Delivery},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICC40277.2020.9148650},
      • issn = {1938-1883},
      • isbn = {978-1-7281-5089-5},
      • url = {https://www.merl.com/publications/TR2020-061}
      • }
    •  Kadu, A., Mansour, H., Boufounos, P.T., "High-Contrast Limited-Angle Reflection Tomography", arXiv, May 2020.
      BibTeX arXiv
      • @article{Kadu2020may,
      • author = {Kadu, Ajinkya and Mansour, Hassan and Boufounos, Petros T.},
      • title = {High-Contrast Limited-Angle Reflection Tomography},
      • journal = {arXiv},
      • year = 2020,
      • month = may,
      • url = {https://arxiv.org/abs/2005.02903}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "High-Quality Soft Image Delivery with Deep Image Denoising", IEEE International Conference on Communications (ICC), DOI: 10.1109/ICC40277.2020.9148611, May 2020.
      BibTeX TR2020-060 PDF Video
      • @inproceedings{Fujihashi2020may,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {High-Quality Soft Image Delivery with Deep Image Denoising},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICC40277.2020.9148611},
      • issn = {1938-1883},
      • isbn = {978-1-7281-5089-5},
      • url = {https://www.merl.com/publications/TR2020-060}
      • }
    •  Zhang, S., Wang, B., Kanemaru, M., Lin, C., Liu, D., Habetler, T., "Model-Based Analysis and Quantification of Bearing Faults in Induction Machines", IEEE Transactions on Industry Applications, DOI: 10.1109/TIA.2020.2979383, Vol. 56, No. 3, pp. 2158-2170, May 2020.
      BibTeX TR2020-059 PDF
      • @article{Zhang2020may,
      • author = {Zhang, Shen and Wang, Bingnan and Kanemaru, Makoto and Lin, Chungwei and Liu, Dehong and Habetler, Thomas},
      • title = {Model-Based Analysis and Quantification of Bearing Faults in Induction Machines},
      • journal = {IEEE Transactions on Industry Applications},
      • year = 2020,
      • volume = 56,
      • number = 3,
      • pages = {2158--2170},
      • month = may,
      • doi = {10.1109/TIA.2020.2979383},
      • issn = {1939-9367},
      • url = {https://www.merl.com/publications/TR2020-059}
      • }
    •  Bhamidipati, S., Kim, K.J., Sun, H., Orlik, P.V., "Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems", IEEE Network, May 2020.
      BibTeX TR2020-058 PDF
      • @article{Bhamidipati2020may,
      • author = {Bhamidipati, Sriramya and Kim, Kyeong Jin and Sun, Hongbo and Orlik, Philip V.},
      • title = {Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems},
      • journal = {IEEE Network},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-058}
      • }
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