Publications

27 / 3,666 publications found.


  •  Cherian, A., Peng, K.-C., Lohit, S., Matthiesen, J., Smith, K., Tenenbaum, J.B., "Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads", arXiv, June 2024.
    BibTeX arXiv
    • @article{Cherian2024jun,
    • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Matthiesen, Joanna and Smith, Kevin and Tenenbaum, Joshua B.}},
    • title = {Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads},
    • journal = {arXiv},
    • year = 2024,
    • month = jun,
    • url = {https://arxiv.org/abs/2406.15736}
    • }
  •  Ni, H., Egger, B., Lohit, S., Cherian, A., Wang, Y., Koike-Akino, T., Huang, S.X., Marks, T.K., "TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.
    BibTeX TR2024-059 PDF Video Software Presentation
    • @inproceedings{Ni2024jun,
    • author = {Ni, Haomiao and Egger, Bernhard and Lohit, Suhas and Cherian, Anoop and Wang, Ye and Koike-Akino, Toshiaki and Huang, Sharon X. and Marks, Tim K.},
    • title = {TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2024-059}
    • }
  •  Liu, X., Tai, Y.-W., Tang, C.-K., Miraldo, P., Lohit, S., Chatterjee, M., "Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2024.
    BibTeX TR2024-042 PDF Videos
    • @inproceedings{Liu2024may,
    • author = {Liu, Xinhang and Tai, Yu-wing and Tang, Chi-Keung and Miraldo, Pedro and Lohit, Suhas and Chatterjee, Moitreya},
    • title = {Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • month = may,
    • url = {https://www.merl.com/publications/TR2024-042}
    • }
  •  Hegde, D., Lohit, S., Peng, K.-C., Jones, M.J., Patel, V.M., "Multimodal 3D Object Detection on Unseen Domains", arXiv, April 2024.
    BibTeX arXiv
    • @article{Hegde2024apr,
    • author = {Hegde, Deepti and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Patel, Vishal M.},
    • title = {Multimodal 3D Object Detection on Unseen Domains},
    • journal = {arXiv},
    • year = 2024,
    • month = apr,
    • url = {https://arxiv.org/abs/2404.11764}
    • }
  •  Hegde, D., Lohit, S., Peng, K.-C., Jones, M.J., Patel, V.M., "Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection", arXiv, April 2024.
    BibTeX arXiv
    • @article{Hegde2024apr2,
    • author = {Hegde, Deepti and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Patel, Vishal M.},
    • title = {Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection},
    • journal = {arXiv},
    • year = 2024,
    • month = apr,
    • url = {https://arxiv.org/abs/2404.11737}
    • }
  •  Basu, S., Lohit, S., Brand, M., "G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups", arXiv, February 2024.
    BibTeX arXiv
    • @article{Basu2024feb,
    • author = {Basu, Sourya and Lohit, Suhas and Brand, Matthew},
    • title = {G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups},
    • journal = {arXiv},
    • year = 2024,
    • month = feb,
    • url = {https://arxiv.org/abs/2402.15413}
    • }
  •  Carmichael, Z., Jones, L.S., Cherian, A., Michael J., , Scheirer, W., "Pixel-Grounded Prototypical Part Networks", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2024.
    BibTeX TR2024-002 PDF Presentation
    • @inproceedings{Carmichael2024jan,
    • author = {Carmichael, Zachariah and Jones, Lohit, Suhas and Cherian, Anoop and Michael J. and Scheirer, Walter},
    • title = {Pixel-Grounded Prototypical Part Networks},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2024,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2024-002}
    • }
  •  Nair, N.G., Cherian, A., Lohit, S., Wang, Y., Koike-Akino, T., Patel, V.M., Marks, T.K., "Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis", IEEE International Conference on Computer Vision (ICCV), October 2023, pp. 20850-20860.
    BibTeX TR2023-126 PDF Software Presentation
    • @inproceedings{Nair2023sep,
    • author = {Nair, Nithin Gopalakrishnan and Cherian, Anoop and Lohit, Suhas and Wang, Ye and Koike-Akino, Toshiaki and Patel, Vishal M. and Marks, Tim K.},
    • title = {Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis},
    • booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
    • year = 2023,
    • pages = {20850--20860},
    • month = oct,
    • publisher = {IEEE/CVF},
    • url = {https://www.merl.com/publications/TR2023-126}
    • }
  •  Sharma, M., Chatterjee, M., Peng, K.-C., Lohit, S., Jones, M.J., "Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection", IEEE International Conference on Computer Vision Workshops (ICCV), October 2023, pp. 924-932.
    BibTeX TR2023-125 PDF Presentation
    • @inproceedings{Sharma2023oct,
    • author = {Sharma, Manish and Chatterjee, Moitreya and Peng, Kuan-Chuan and Lohit, Suhas and Jones, Michael J.},
    • title = {Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection},
    • booktitle = {IEEE International Conference on Computer Vision Workshops (ICCV)},
    • year = 2023,
    • pages = {924--932},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2023-125}
    • }
  •  Shenoy, V., Marks, T.K., Mansour, H., Lohit, S., "Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP49359.2023.10222169, September 2023, pp. 2715-2719.
    BibTeX TR2023-116 PDF Video
    • @inproceedings{Shenoy2023sep,
    • author = {Shenoy, Vineet and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas},
    • title = {Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2023,
    • pages = {2715--2719},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP49359.2023.10222169},
    • isbn = {978-1-7281-9835-4},
    • url = {https://www.merl.com/publications/TR2023-116}
    • }
  •  Jeon, E.S., Lohit, S., Anirudh, R., Turaga, P., "Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096888, May 2023.
    BibTeX TR2023-021 PDF Presentation
    • @inproceedings{Jeon2023may,
    • author = {Jeon, Eun Som and Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096888},
    • url = {https://www.merl.com/publications/TR2023-021}
    • }
  •  Cherian, A., Peng, K.-C., Lohit, S., Smith, K., Tenenbaum, J.B., "Are Deep Neural Networks SMARTer than Second Graders?", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March 2023, pp. 10834-10844.
    BibTeX TR2023-014 PDF Data Software Presentation
    • @inproceedings{Cherian2023mar,
    • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Smith, Kevin and Tenenbaum, Joshua B.},
    • title = {Are Deep Neural Networks SMARTer than Second Graders?},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2023,
    • pages = {10834--10844},
    • month = mar,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2023-014}
    • }
  •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 36466-36478.
    BibTeX TR2022-148 PDF Presentation
    • @inproceedings{Romero2022nov,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning Partial Equivariances from Data},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {36466--36478},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-148}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 13456-13469.
    BibTeX TR2022-147 PDF
    • @inproceedings{Wang2022nov,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {13456--13469},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-147}
    • }
  •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/​978-3-031-19830-4_7, October 2022, pp. 111-127.
    BibTeX TR2022-135 PDF Video Software Presentation
    • @inproceedings{Ahmed2022oct,
    • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K},
    • title = {Cross-Modal Knowledge Transfer Without Task-Relevant Source Data},
    • booktitle = {Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXIV},
    • year = 2022,
    • editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
    • pages = {111--127},
    • month = oct,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-19830-4_7},
    • isbn = {978-3-031-19830-4},
    • url = {https://www.merl.com/publications/TR2022-135}
    • }
  •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP46576.2022.9897332, October 2022, pp. 2511-2515.
    BibTeX TR2022-129 PDF Video
    • @inproceedings{Mansour2022oct,
    • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
    • title = {Distributed Radar Autofocus Imaging Using Deep Priors},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2022,
    • pages = {2511--2515},
    • month = oct,
    • doi = {10.1109/ICIP46576.2022.9897332},
    • url = {https://www.merl.com/publications/TR2022-129}
    • }
  •  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}
    • }
  •  Romero, D., Lohit, S., "Learning equivariances and partial equivariances from data", arXiv, October 2021.
    BibTeX arXiv
    • @article{Romero2021oct,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning equivariances and partial equivariances from data},
    • journal = {arXiv},
    • year = 2021,
    • month = oct,
    • url = {https://arxiv.org/abs/2110.10211}
    • }
  •  Comas, A., Marks, T.K., Mansour, H., Lohit, S., Ma, Y., Liu, X., "TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP42928.2021.9506663, September 2021, pp. 309-313.
    BibTeX TR2021-099 PDF
    • @inproceedings{Comas2021sep,
    • author = {Comas, Armand and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas and Ma, Yechi and Liu, Xiaoming},
    • title = {TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2021,
    • pages = {309--313},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP42928.2021.9506663},
    • url = {https://www.merl.com/publications/TR2021-099}
    • }
  •  Lohit, S., Anirudh, R., Turaga, P., "Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021.
    BibTeX TR2021-004 PDF
    • @inproceedings{Lohit2021jan,
    • author = {Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2021,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2021-004}
    • }
  •  Anirudh, R., Lohit, S., Turaga, P., "Generative Patch Priors for Practical Compressive Image Recovery", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021.
    BibTeX TR2021-003 PDF
    • @inproceedings{Anirudh2021jan,
    • author = {Anirudh, Rushil and Lohit, Suhas and Turaga, Pavan},
    • title = {Generative Patch Priors for Practical Compressive Image Recovery},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2021,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2021-003}
    • }
  •  Lohit, S., Trivedi, S., "Model Compression Using Optimal Transport", arXiv, December 2020.
    BibTeX arXiv
    • @article{Lohit2020dec3,
    • author = {Lohit, Suhas and Trivedi, Shubhendu},
    • title = {Model Compression Using Optimal Transport},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.03907}
    • }
  •  Lohit, S., Trivedi, S., "Rotation-Invariant Autoencoders for Signals on Spheres", arXiv, December 2020.
    BibTeX arXiv
    • @article{Lohit2020dec2,
    • author = {Lohit, Suhas and Trivedi, Shubhendu},
    • title = {Rotation-Invariant Autoencoders for Signals on Spheres},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.04474}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Knowledge Distillation Thrives on Data Augmentation", arXiv, December 2020.
    BibTeX arXiv
    • @article{Wang2020dec3,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {Knowledge Distillation Thrives on Data Augmentation},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.02909}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Multi-Head Knowledge Distillation for Model Compression", arXiv, December 2020.
    BibTeX arXiv
    • @article{Wang2020dec2,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {Multi-Head Knowledge Distillation for Model Compression},
    • journal = {arXiv},
    • year = 2020,
    • month = dec,
    • url = {https://arxiv.org/abs/2012.02911}
    • }