Publications

534 / 3,599 publications found.


  •  Medin, S.C., Egger, B., Cherian, A., Wang, Y., Tenenbaum, J.B., Liu, X., Marks, T.K., "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation", AAAI Conference on Artificial Intelligence, DOI: 10.1609/​aaai.v36i2.20091, February 2022, pp. 1962-1971.
    BibTeX TR2022-011 PDF Video Data Presentation
    • @inproceedings{Medin2022feb,
    • author = {Medin, Safa C. and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B. and Liu, Xiaoming and Marks, Tim K.},
    • title = {MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • pages = {1962--1971},
    • month = feb,
    • doi = {10.1609/aaai.v36i2.20091},
    • url = {https://www.merl.com/publications/TR2022-011}
    • }
  •  Chakrabarty, A., Danielson, C., Bortoff, S.A., Laughman, C.R., "Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation", Applied Thermal Engineering, DOI: 10.1016/​j.applthermaleng.2021.117335, Vol. 197, pp. 117335, February 2022.
    BibTeX TR2022-010 PDF
    • @article{Chakrabarty2022feb,
    • author = {Chakrabarty, Ankush and Danielson, Claus and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation},
    • journal = {Applied Thermal Engineering},
    • year = 2022,
    • volume = 197,
    • pages = 117335,
    • month = feb,
    • doi = {10.1016/j.applthermaleng.2021.117335},
    • url = {https://www.merl.com/publications/TR2022-010}
    • }
  •  De Silva, U., Ma, R., Koike-Akino, T., Yamashita, A., Nakamizo, H., "A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion", IEEE Radio and Wireless Symposium (RWS), January 2022.
    BibTeX TR2022-007 PDF
    • @inproceedings{DeSilva2022jan,
    • author = {De Silva, Udara and Ma, Rui and Koike-Akino, Toshiaki and Yamashita, Ao and Nakamizo, Hideyuki},
    • title = {A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion},
    • booktitle = {IEEE Radio and Wireless Symposium (RWS)},
    • year = 2022,
    • month = jan,
    • issn = {2473-4640},
    • isbn = {978-1-6654-3472-0},
    • url = {https://www.merl.com/publications/TR2022-007}
    • }
  •  Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022.
    BibTeX TR2022-006 PDF Presentation
    • @inproceedings{Lohit2022jan,
    • author = {Lohit, Suhas and Jones, Michael J.},
    • title = {Model Compression Using Optimal Transport},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2022,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2022-006}
    • }
  •  Jeon, W., Chakrabarty, A., Zemouche, A., Rajamani, R., "Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications", IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/​TMECH.2021.3081035, Vol. 26, No. 4, pp. 1941-1950, January 2022.
    BibTeX TR2022-003 PDF
    • @article{Jeon2022jan,
    • author = {Jeon, Woongsun and Chakrabarty, Ankush and Zemouche, Ali and Rajamani, Rajesh},
    • title = {Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications},
    • journal = {IEEE/ASME Transactions on Mechatronics},
    • year = 2022,
    • volume = 26,
    • number = 4,
    • pages = {1941--1950},
    • month = jan,
    • doi = {10.1109/TMECH.2021.3081035},
    • url = {https://www.merl.com/publications/TR2022-003}
    • }
  •  Teo, K.H., Zhang, Y., Chowdhury, N., Rakheja, S., Ma, R., Xie, Q., Yagyu, E., Yamanaka, K., Li, K., Palacios, T., "Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects", Journal of Applied Physics, DOI: 10.1063/​5.0061555, December 2021.
    BibTeX TR2022-002 PDF
    • @article{Teo2021dec,
    • author = {Teo, Koon Hoo and Zhang, Yuhao and Chowdhury, Nadim and Rakheja, Shaloo and Ma, Rui and Xie, Qingyun and Yagyu, Eiji and Yamanaka, Koji and Li, Kexin and Palacios, Tomas},
    • title = {Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects},
    • journal = {Journal of Applied Physics},
    • year = 2021,
    • month = dec,
    • doi = {10.1063/5.0061555},
    • url = {https://www.merl.com/publications/TR2022-002}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chakrabarty, A., "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.
    BibTeX TR2021-149 PDF
    • @inproceedings{Zhan2021dec,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2021-149}
    • }
  •  Berntorp, K., Chakrabarty, A., Di Cairano, S., "Vehicle Rollover Avoidance by Parameter-Adaptive Reference Governor", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9683770, December 2021, pp. 635-640.
    BibTeX TR2021-151 PDF
    • @inproceedings{Berntorp2021dec,
    • author = {Berntorp, Karl and Chakrabarty, Ankush and Di Cairano, Stefano},
    • title = {Vehicle Rollover Avoidance by Parameter-Adaptive Reference Governor},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • pages = {635--640},
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9683770},
    • url = {https://www.merl.com/publications/TR2021-151}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2021.3129363, Vol. 29, pp. 3476-3490, December 2021.
    BibTeX TR2021-144 PDF
    • @article{Wang2021dec,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2021,
    • volume = 29,
    • pages = {3476--3490},
    • month = dec,
    • doi = {10.1109/TASLP.2021.3129363},
    • url = {https://www.merl.com/publications/TR2021-144}
    • }
  •  Yu, X., van Baar, J., Chen, S., Sullivan, A., "Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph", International Conference on 3D Vision (3DV), DOI: 10.1109/​3DV53792.2021.00060, December 2021, pp. 505-514.
    BibTeX TR2021-143 PDF
    • @inproceedings{Yu2021dec,
    • author = {Yu, Xin and van Baar, Jeroen and Chen, Siheng and Sullivan, Alan},
    • title = {Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph},
    • booktitle = {International Conference on 3D Vision (3DV)},
    • year = 2021,
    • pages = {505--514},
    • month = dec,
    • doi = {10.1109/3DV53792.2021.00060},
    • url = {https://www.merl.com/publications/TR2021-143}
    • }
  •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems, Alan Pak Tao Lau and Faisal Nadeem Khan, Eds., DOI: 10.1016/​B978-0-32-385227-2.00018-8, pp. 337-374, Academic Press, November 2021.
    BibTeX TR2021-142 PDF
    • @incollection{Kojima2021nov,
    • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {Machine Learning for design and optimization of photonic devices},
    • booktitle = {Machine Learning for Future Fiber Optic Communication Systems},
    • year = 2021,
    • editor = {Alan Pak Tao Lau and Faisal Nadeem Khan},
    • pages = {337--374},
    • month = nov,
    • publisher = {Academic Press},
    • doi = {10.1016/B978-0-32-385227-2.00018-8},
    • isbn = {978-0-323-85227-2},
    • url = {https://www.merl.com/publications/TR2021-142}
    • }
  •  Wang, P., Koike-Akino, T., Ma, R., Orlik, P.V., Yamashita, G., Tsujita, W., Nakajima, M., "Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50926.2021.9566940, November 2021.
    BibTeX TR2021-098 PDF
    • @inproceedings{Wang2021nov,
    • author = {Wang, Perry and Koike-Akino, Toshiaki and Ma, Rui and Orlik, Philip V. and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
    • title = {Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning},
    • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
    • year = 2021,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/IRMMW-THz50926.2021.9566940},
    • issn = {2162-2035},
    • isbn = {978-1-7281-9424-0},
    • url = {https://www.merl.com/publications/TR2021-098}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.
    BibTeX TR2021-137 PDF
    • @article{Wang2021nov2,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {On The Compensation Between Magnitude and Phase in Speech Separation},
    • journal = {IEEE Signal Processing Letters},
    • year = 2021,
    • volume = 28,
    • pages = {2018--2022},
    • month = nov,
    • doi = {10.1109/LSP.2021.3116502},
    • url = {https://www.merl.com/publications/TR2021-137}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
    BibTeX TR2021-136 PDF Video Presentation
    • @inproceedings{Demir2021oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
    • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC46164.2021.9630194},
    • issn = {2694-0604},
    • isbn = {978-1-7281-1179-7},
    • url = {https://www.merl.com/publications/TR2021-136}
    • }
  •  Srinivasan, M., Chakrabarty, A., Quirynen, R., yoshikawa, N., Mariyama, T., Di Cairano, S., "Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.237, October 2021, pp. 598-604.
    BibTeX TR2021-134 PDF Video
    • @inproceedings{Srinivasan2021oct,
    • author = {Srinivasan, Mohit and Chakrabarty, Ankush and Quirynen, Rien and yoshikawa, nobuyuki and Mariyama, Toshisada and Di Cairano, Stefano},
    • title = {Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs},
    • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
    • year = 2021,
    • pages = {598--604},
    • month = oct,
    • doi = {10.1016/j.ifacol.2021.11.237},
    • url = {https://www.merl.com/publications/TR2021-134}
    • }
  •  Menner, M., Di Cairano, S., "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, DOI: 10.1109/​VPPC53923.2021.9699361, October 2021, pp. 1-6.
    BibTeX TR2021-132 PDF
    • @inproceedings{Menner2021oct,
    • author = {Menner, Marcel and Di Cairano, Stefano},
    • title = {Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles},
    • booktitle = {IEEE Vehicle Power and Propulsion Conference},
    • year = 2021,
    • pages = {1--6},
    • month = oct,
    • doi = {10.1109/VPPC53923.2021.9699361},
    • url = {https://www.merl.com/publications/TR2021-132}
    • }
  •  Li, X., Kojima, K., Brand, M., "Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics", IEEE Photonics Conference (IPC), DOI: 10.1109/​IPC48725.2021.9593086, October 2021, pp. 1-2.
    BibTeX TR2021-140 PDF
    • @inproceedings{Li2021oct,
    • author = {Li, Xinhao and Kojima, Keisuke and Brand, Matthew},
    • title = {Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics},
    • booktitle = {IEEE Photonics Conference (IPC)},
    • year = 2021,
    • pages = {1--2},
    • month = oct,
    • doi = {10.1109/IPC48725.2021.9593086},
    • url = {https://www.merl.com/publications/TR2021-140}
    • }
  •  Rakin, A.S., Wang, Y., Aeron, S., Koike-Akino, T., Moulin, P., Parsons, K., "Towards Universal Adversarial Examples and Defenses", IEEE Information Theory Workshop, DOI: 10.1109/​ITW48936.2021.9611439, October 2021.
    BibTeX TR2021-125 PDF Video
    • @inproceedings{Rakin2021oct,
    • author = {Rakin, Adnan S and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
    • title = {Towards Universal Adversarial Examples and Defenses},
    • booktitle = {IEEE Information Theory Workshop},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ITW48936.2021.9611439},
    • isbn = {978-1-6654-0312-2},
    • url = {https://www.merl.com/publications/TR2021-125}
    • }
  •  Chakrabarty, A., Quirynen, R., Romeres, D., Di Cairano, S., "Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC", IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/​SMC52423.2021.9659186, October 2021, pp. 3238-3244.
    BibTeX TR2021-126 PDF Video
    • @inproceedings{Chakrabarty2021oct,
    • author = {Chakrabarty, Ankush and Quirynen, Rien and Romeres, Diego and Di Cairano, Stefano},
    • title = {Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
    • year = 2021,
    • pages = {3238--3244},
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9659186},
    • url = {https://www.merl.com/publications/TR2021-126}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters", IEEE International Conference on Systems, Man, and Cybernetics (SMC), DOI: 10.1109/​SMC52423.2021.9658893, October 2021.
    BibTeX TR2021-128 PDF Video
    • @inproceedings{Chakrabarty2021oct2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
    • year = 2021,
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9658893},
    • url = {https://www.merl.com/publications/TR2021-128}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Reverberant Speech Separation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632667, October 2021, pp. 56-60.
    BibTeX TR2021-127 PDF
    • @inproceedings{Wang2021oct4,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Convolutive Prediction for Reverberant Speech Separation},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {56--60},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632667},
    • url = {https://www.merl.com/publications/TR2021-127}
    • }
  •  Wichern, G., Chakrabarty, A., Wang, Z.-Q., Le Roux, J., "Anomalous sound detection using attentive neural processes", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632762, October 2021, pp. 186-190.
    BibTeX TR2021-129 PDF
    • @inproceedings{Wichern2021oct,
    • author = {Wichern, Gordon and Chakrabarty, Ankush and Wang, Zhong-Qiu and Le Roux, Jonathan},
    • title = {Anomalous sound detection using attentive neural processes},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {186--190},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632762},
    • url = {https://www.merl.com/publications/TR2021-129}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 9751-9761.
    BibTeX TR2021-096 PDF Video
    • @inproceedings{Chatterjee2021oct2,
    • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
    • title = {A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {9751--9761},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2021-096}
    • }
  •  Chatterjee, M., Le Roux, J., Ahuja, N., Cherian, A., "Visual Scene Graphs for Audio Source Separation", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 1204-1213.
    BibTeX TR2021-095 PDF Video Software
    • @inproceedings{Chatterjee2021oct,
    • author = {Chatterjee, Moitreya and Le Roux, Jonathan and Ahuja, Narendra and Cherian, Anoop},
    • title = {Visual Scene Graphs for Audio Source Separation},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {1204--1213},
    • month = oct,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2021-095}
    • }
  •  Cherian, A., Pais, G., Jain, S., Marks, T.K., Sullivan, A., "InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 10023-10032.
    BibTeX TR2021-097 PDF Video Data Software Presentation
    • @inproceedings{Cherian2021oct,
    • author = {Cherian, Anoop and Pais, Goncalo and Jain, Siddarth and Marks, Tim K. and Sullivan, Alan},
    • title = {InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {10023--10032},
    • month = oct,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2021-097}
    • }