Publications

622 / 3,799 publications found.


  •  Pais, G., Piedade, V., Chatterjee, M., Greiff, M., Miraldo, P., "A Probability-guided Sampler for Neural Implicit Surface Rendering", European Conference on Computer Vision (ECCV), Leonardis, A. and Ricci, E. and Roth, S. and Russakovsky, O., Sattler, T. and Varol, G., Eds., DOI: 10.1007/​978-3-031-72913-3_10, September 2024, pp. 164-182.
    BibTeX TR2024-129 PDF
    • @inproceedings{Pais2024sep,
    • author = {Pais, Goncalo and Piedade, Valter and Chatterjee, Moitreya and Greiff, Marcus and Miraldo, Pedro},
    • title = {{A Probability-guided Sampler for Neural Implicit Surface Rendering}},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2024,
    • editor = {Leonardis, A. and Ricci, E. and Roth, S. and Russakovsky, O., Sattler, T. and Varol, G.},
    • pages = {164--182},
    • month = sep,
    • publisher = {Springer, Cham},
    • doi = {10.1007/978-3-031-72913-3_10},
    • isbn = {978-3-031-72913-3},
    • url = {https://www.merl.com/publications/TR2024-129}
    • }
  •  Cherian, A., Jain, S., Marks, T.K., "Few-shot Transparent Instance Segmentation for Bin Picking", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2024, pp. 5009-5016.
    BibTeX TR2024-127 PDF Video
    • @inproceedings{Cherian2024sep,
    • author = {Cherian, Anoop and Jain, Siddarth and Marks, Tim K.},
    • title = {{Few-shot Transparent Instance Segmentation for Bin Picking}},
    • booktitle = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2024,
    • pages = {5009--5016},
    • month = sep,
    • publisher = {IEEE},
    • url = {https://www.merl.com/publications/TR2024-127}
    • }
  •  Yin, J., Luo, A., Du, Y., Cherian, A., Marks, T.K., Le Roux, J., Gan, C., "Disentangled Acoustic Fields For Multimodal Physical Scene Understanding", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2024, pp. 557-564.
    BibTeX TR2024-125 PDF
    • @inproceedings{Yin2024sep,
    • author = {Yin, Jie and Luo, Andrew and Du, Yilun and Cherian, Anoop and Marks, Tim K. and {Le Roux}, Jonathan and Gan, Chuang},
    • title = {{Disentangled Acoustic Fields For Multimodal Physical Scene Understanding}},
    • booktitle = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    • year = 2024,
    • pages = {557--564},
    • month = sep,
    • publisher = {IEEE},
    • url = {https://www.merl.com/publications/TR2024-125}
    • }
  •  Rahman, M., Yataka, R., Kato, S., Wang, P., Li, P., Cardace, A., Boufounos, P.T., "MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception", European Conference on Computer Vision (ECCV), DOI: 10.1007/​978-3-031-72986-7_18, September 2024, pp. 306–322.
    BibTeX TR2024-117 PDF Data
    • @inproceedings{Rahman2024sep,
    • author = {Rahman, Mahbub and Yataka, Ryoma and Kato, Sorachi and Wang, Pu and Li, Peizhao and Cardace, Adriano and Boufounos, Petros T.},
    • title = {{MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception}},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2024,
    • pages = {306–322},
    • month = sep,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-72986-7_18},
    • url = {https://www.merl.com/publications/TR2024-117}
    • }
  •  Roque, P., Miraldo, P., Dimarogonas, D., "Multi-Agent Formation Control using Epipolar Constraints", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2024.3444690, Vol. 9, No. 12, pp. 11002-11009, September 2024.
    BibTeX TR2024-147 PDF
    • @article{Roque2024sep,
    • author = {Roque, Pedro and Miraldo, Pedro and Dimarogonas, Dimos},
    • title = {{Multi-Agent Formation Control using Epipolar Constraints}},
    • journal = {IEEE Robotics and Automation Letters},
    • year = 2024,
    • volume = 9,
    • number = 12,
    • pages = {11002--11009},
    • month = sep,
    • doi = {10.1109/LRA.2024.3444690},
    • issn = {2377-3766},
    • url = {https://www.merl.com/publications/TR2024-147}
    • }
  •  Zhang, H., Wang, B., "Supervised Contrastive Learning for Electric Motor Bearing Fault Detection", International Conference on Electrical Machines (ICEM), September 2024.
    BibTeX TR2024-120 PDF
    • @inproceedings{Zhang2024sep,
    • author = {Zhang, Hengrui and Wang, Bingnan},
    • title = {{Supervised Contrastive Learning for Electric Motor Bearing Fault Detection}},
    • booktitle = {International Conference on Electrical Machines (ICEM)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-120}
    • }
  •  Pan, Z., Wichern, G., Germain, F.G., Saijo, K., Le Roux, J., "PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation", Interspeech, DOI: 10.21437/​Interspeech.2024-1066, September 2024, pp. 582-586.
    BibTeX TR2024-124 PDF
    • @inproceedings{Pan2024sep,
    • author = {Pan, Zexu and Wichern, Gordon and Germain, François G and Saijo, Kohei and {Le Roux}, Jonathan},
    • title = {{PARIS}: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation},
    • booktitle = {Interspeech},
    • year = 2024,
    • pages = {582--586},
    • month = sep,
    • doi = {10.21437/Interspeech.2024-1066},
    • issn = {2958-1796},
    • url = {https://www.merl.com/publications/TR2024-124}
    • }
  •  Yan, J., Chakrabarty, A., Rupenyan, A., Lygeros, J., "MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models", International Conference on Automation Science and Engineering (CASE), DOI: 10.1109/​CASE59546.2024.10711717, August 2024.
    BibTeX TR2024-115 PDF
    • @inproceedings{Yan2024aug,
    • author = {Yan, Jiaqi and Chakrabarty, Ankush and Rupenyan, Alisa and Lygeros, John},
    • title = {{MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models}},
    • booktitle = {International Conference on Automation Science and Engineering (CASE)},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CASE59546.2024.10711717},
    • url = {https://www.merl.com/publications/TR2024-115}
    • }
  •  Shastri, S., Ma, Y., Boufounos, P.T., Mansour, H., "Deep Calibration and Operator Learning for Ground Penetrating Radar Imaging", European Signal Processing Conference (EUSIPCO), DOI: 10.23919/​EUSIPCO63174.2024.10715281, August 2024.
    BibTeX TR2024-128 PDF
    • @inproceedings{Shastri2024aug,
    • author = {Shastri, Saurav and Ma, Yanting and Boufounos, Petros T. and Mansour, Hassan},
    • title = {{Deep Calibration and Operator Learning for Ground Penetrating Radar Imaging}},
    • booktitle = {European Signal Processing Conference (EUSIPCO)},
    • year = 2024,
    • month = aug,
    • doi = {10.23919/EUSIPCO63174.2024.10715281},
    • issn = {2076-1465},
    • isbn = {978-9-4645-9361-7},
    • url = {https://www.merl.com/publications/TR2024-128}
    • }
  •  Chakrabarty, A., Vanfretti, L., Bortoff, S.A., Deshpande, V.M., Wang, Y., Paulson, J.A., Zhan, S., Laughman, C.R., "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, DOI: 10.1109/​CCTA60707.2024.10666585, August 2024.
    BibTeX TR2024-113 PDF
    • @inproceedings{Chakrabarty2024aug,
    • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.},
    • title = {{Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks}},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CCTA60707.2024.10666585},
    • url = {https://www.merl.com/publications/TR2024-113}
    • }
  •  Sorouifar, F., Paulson, J.A., Wang, Y., Quirynen, R., Laughman, C.R., Chakrabarty, A., "Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA60707.2024.10666537, August 2024.
    BibTeX TR2024-110 PDF
    • @inproceedings{Sorouifar2024aug,
    • author = {Sorouifar, Farshud and Paulson, Joel A. and Wang, Ye and Quirynen, Rien and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems}},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CCTA60707.2024.10666537},
    • url = {https://www.merl.com/publications/TR2024-110}
    • }
  •  Safaoui, S., Vinod, A.P., Chakrabarty, A., Quirynen, R., Yoshikawa, N., Di Cairano, S., "Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning", IEEE Transactions on Robotics, DOI: 10.1109/​TRO.2024.3387010, Vol. 40, pp. 2529-2542, July 2024.
    BibTeX TR2024-048 PDF Video
    • @article{Safaoui2024jul,
    • author = {Safaoui, Sleiman and Vinod, Abraham P. and Chakrabarty, Ankush and Quirynen, Rien and Yoshikawa, Nobuyuki and {Di Cairano}, Stefano},
    • title = {{Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning}},
    • journal = {IEEE Transactions on Robotics},
    • year = 2024,
    • volume = 40,
    • pages = {2529--2542},
    • month = jul,
    • doi = {10.1109/TRO.2024.3387010},
    • url = {https://www.merl.com/publications/TR2024-048}
    • }
  •  Koike-Akino, T., Meng Chang, , Cevher, V., De Micheli, G., "Hardware-Efficient Quantization for Green Custom Foundation Models", International Conference on Machine Learning (ICML), July 2024.
    BibTeX TR2024-105 PDF Presentation
    • @inproceedings{Koike-Akino2024jul2,
    • author = {Koike-Akino, Toshiaki and Meng Chang and Cevher, Volkan and De Micheli, Giovanni},
    • title = {{Hardware-Efficient Quantization for Green Custom Foundation Models}},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-105}
    • }
  •  Liu, J., Lowy, A., Koike-Akino, T., Parsons, K., Wang, Y., "Efficient Differentially Private Fine-Tuning of Diffusion Models", International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety), July 2024.
    BibTeX TR2024-104 PDF Presentation
    • @inproceedings{Liu2024jul,
    • author = {Liu, Jing and Lowy, Andrew and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Efficient Differentially Private Fine-Tuning of Diffusion Models}},
    • booktitle = {International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-104}
    • }
  •  Bimbraw, K., Liu, J., Wang, Y., Koike-Akino, T., "Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society, DOI: 10.1109/​EMBC53108.2024.10782851, July 2024.
    BibTeX TR2024-103 PDF
    • @inproceedings{Bimbraw2024jul3,
    • author = {Bimbraw, Keshav and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {{Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals}},
    • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society},
    • year = 2024,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC53108.2024.10782851},
    • issn = {2694-0604},
    • isbn = {979-8-3503-7149-9},
    • url = {https://www.merl.com/publications/TR2024-103}
    • }
  •  Ma, J., Qiao, H., Laughman, C.R., "A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems", International Refrigeration and Air Conditioning Conference at Purdue, July 2024.
    BibTeX TR2024-102 PDF
    • @inproceedings{Ma2024jul,
    • author = {Ma, JiaCheng and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {{A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems}},
    • booktitle = {International Refrigeration and Air Conditioning Conference at Purdue},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-102}
    • }
  •  Koike-Akino, T., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Machine Learning (ICML), July 2024.
    BibTeX TR2024-101 PDF Presentation
    • @inproceedings{Koike-Akino2024jul,
    • author = {Koike-Akino, Toshiaki and Cevher, Volkan},
    • title = {{Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning}},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-101}
    • }
  •  Giacomuzzo, G., Cescon, R., Romeres, D., Carli, R., Dalla Libera, A., "Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems", Learning for Dynamics & Control Conference (L4DC), Abate, Alessandro and Cannon, Mark and Margellos, Kostas and Papachristodoulou, Antonis, Eds., July 2024, pp. 1292-1304.
    BibTeX TR2024-097 PDF
    • @inproceedings{Giacomuzzo2024jul,
    • author = {Giacomuzzo, Giulio and Cescon, Riccardo and Romeres, Diego and Carli, Ruggero and Dalla Libera, Alberto},
    • title = {{Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems}},
    • booktitle = {Learning for Dynamics \& Control Conference (L4DC)},
    • year = 2024,
    • editor = {Abate, Alessandro and Cannon, Mark and Margellos, Kostas and Papachristodoulou, Antonis},
    • pages = {1292--1304},
    • month = jul,
    • publisher = {PMLR},
    • url = {https://www.merl.com/publications/TR2024-097}
    • }
  •  Laughman, C.R., Deshpande, V.M., Chakrabarty, A., Qiao, H., "Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal", nternational Refrigeration and Air Conditioning Conference at Purdue, July 2024, pp. 2359, 1-10.
    BibTeX TR2024-099 PDF
    • @inproceedings{Laughman2024jul,
    • author = {Laughman, Christopher R. and Deshpande, Vedang M. and Chakrabarty, Ankush and Qiao, Hongtao},
    • title = {{Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal}},
    • booktitle = {International Refrigeration and Air Conditioning Conference at Purdue},
    • year = 2024,
    • pages = {2359, 1--10},
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-099}
    • }
  •  Sun, Y., Guo, J., Parsons, K., Nagai, Y., "Improve Federated Learning Stability for Vehicle Trajectory Prediction", International Conference on Ubiquitous and Future Networks (UCIFN), July 2024.
    BibTeX TR2024-094 PDF
    • @inproceedings{Sun2024jul,
    • author = {Sun, Youbang and Guo, Jianlin and Parsons, Kieran and Nagai, Yukimasa},
    • title = {{Improve Federated Learning Stability for Vehicle Trajectory Prediction}},
    • booktitle = {International Conference on Ubiquitous and Future Networks (UCIFN)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-094}
    • }
  •  Wang, Y., Berntorp, K., Menner, M., "Physics-Informed Road Monitoring and Suspension Control using Crowdsourced Vehicle Data", European Control Conference (ECC), DOI: 10.23919/​ECC64448.2024.10590862, June 2024, pp. 699-704.
    BibTeX TR2024-084 PDF
    • @inproceedings{Wang2024jun4,
    • author = {Wang, Yanbing and Berntorp, Karl and Menner, Marcel},
    • title = {{Physics-Informed Road Monitoring and Suspension Control using Crowdsourced Vehicle Data}},
    • booktitle = {European Control Conference (ECC)},
    • year = 2024,
    • pages = {699--704},
    • month = jun,
    • doi = {10.23919/ECC64448.2024.10590862},
    • url = {https://www.merl.com/publications/TR2024-084}
    • }
  •  Nayak, S., Greiff, M., Raghunathan, A., Di Cairano, S., Vinod, A.P., "Data-driven monitoring with mobile sensors and charging stations using multi-arm bandits and coordinated motion planners", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644645, June 2024, pp. 299-305.
    BibTeX TR2024-078 PDF
    • @inproceedings{Nayak2024jun,
    • author = {Nayak, Siddharth and Greiff, Marcus and Raghunathan, Arvind and {Di Cairano}, Stefano and Vinod, Abraham P.},
    • title = {{Data-driven monitoring with mobile sensors and charging stations using multi-arm bandits and coordinated motion planners}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2024,
    • pages = {299--305},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ACC60939.2024.10644645},
    • url = {https://www.merl.com/publications/TR2024-078}
    • }
  •  Vinod, A.P., Yamazaki, S., Chakrabarty, A., Yoshikawa, N., Di Cairano, S., "Aircraft Approach Management using Reachability and Dynamic Programming", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644902, June 2024, pp. 318-324.
    BibTeX TR2024-079 PDF
    • @inproceedings{Vinod2024jun,
    • author = {Vinod, Abraham P. and Yamazaki, Sachiyo and Chakrabarty, Ankush and Yoshikawa, Nobuyuki and {Di Cairano}, Stefano},
    • title = {{Aircraft Approach Management using Reachability and Dynamic Programming}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2024,
    • pages = {318--324},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ACC60939.2024.10644902},
    • url = {https://www.merl.com/publications/TR2024-079}
    • }
  •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPRW63382.2024.00804, June 2024, pp. 8050-8055.
    BibTeX TR2024-062 PDF Presentation
    • @inproceedings{Chen2024jun,
    • author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki},
    • title = {{SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • pages = {8050--8055},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/CVPRW63382.2024.00804},
    • url = {https://www.merl.com/publications/TR2024-062}
    • }
  •  Ho, C.-H., Peng, K.-C., Vasconcelos, N., "Long-Tailed Anomaly Detection with Learnable Class Names", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Farhadi, A. and Crandall, D. and Sato, I. and Wu, J. and Pless, R. and Akata, Z., Eds., DOI: 10.1109/​CVPR52733.2024.01182, June 2024, pp. 12435-12446.
    BibTeX TR2024-040 PDF Video Data Presentation
    • @inproceedings{Ho2024jun,
    • author = {Ho, Chih-Hui and Peng, Kuan-Chuan and Vasconcelos, Nuno},
    • title = {{Long-Tailed Anomaly Detection with Learnable Class Names}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • editor = {Farhadi, A. and Crandall, D. and Sato, I. and Wu, J. and Pless, R. and Akata, Z.},
    • pages = {12435--12446},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/CVPR52733.2024.01182},
    • issn = {2575-7075},
    • isbn = {979-8-3503-5300-6},
    • url = {https://www.merl.com/publications/TR2024-040}
    • }