Lalit Manam

Lalit Manam
  • Email: Work email for Lalit Manam
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  • Biography

    Lalit Manam earned his Ph.D. from Indian Institute of Science in 2025, where he worked on structure from motion (SfM), a fundamental approach in 3D computer vision. His doctoral research was focused on efficient and reliable camera motion estimation. At MERL, he continues to explore related problems in 3D computer vision like simultaneous localization and mapping (SLAM) and their applications.

  • MERL Publications

    •  Piedade, V., Manam, L., Yamazaki, M., Miraldo, P., "Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2026.
      BibTeX TR2026-056 PDF
      • @inproceedings{Piedade2026may,
      • author = {Piedade, Valter and Manam, Lalit and Yamazaki, Masashi and Miraldo, Pedro},
      • title = {{Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling}},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2026,
      • month = may,
      • url = {https://www.merl.com/publications/TR2026-056}
      • }
    •  Lalit, M., Govindu, V., "Parallel Rigidity Matters for Bundle Adjustment", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2026.
      BibTeX TR2026-053 PDF
      • @inproceedings{Lalit2026may,
      • author = {Lalit, Manam and Govindu, Venu},
      • title = {{Parallel Rigidity Matters for Bundle Adjustment}},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2026,
      • month = may,
      • url = {https://www.merl.com/publications/TR2026-053}
      • }

  • Other Publications

    •  Lalit Manam and Venu Madhav Govindu, "Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024, pp. 4959-4968.
      BibTeX External
      • @Inproceedings{manam2024camtripsfm,
      • author = {Manam, Lalit and Govindu, Venu Madhav},
      • title = {Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion},
      • booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2024,
      • pages = {4959--4968},
      • month = jun,
      • url = {https://ee.iisc.ac.in/cvlab/research/camtripsfm/cam_triplets_sfm.pdf}
      • }
    •  Lalit Manam and Venu Madhav Govindu, "Fusing Directions and Displacements in Translation Averaging", International Conference on 3D Vision (3DV), March 2024, pp. 75-84.
      BibTeX External
      • @Inproceedings{manam2024fusedta,
      • author = {Manam, Lalit and Govindu, Venu Madhav},
      • title = {Fusing Directions and Displacements in Translation Averaging},
      • booktitle = {International Conference on 3D Vision (3DV)},
      • year = 2024,
      • pages = {75--84},
      • month = mar,
      • organization = {IEEE},
      • url = {https://ee.iisc.ac.in/cvlab/research/fusedta/fused_ta.pdf}
      • }
    •  Lalit Manam and Venu Madhav Govindu, "Sensitivity in Translation Averaging", Advances in Neural Information Processing Systems (NeurIPS), December 2023, vol. 36.
      BibTeX External
      • @Inproceedings{manam2023tasensitivity,
      • author = {Manam, Lalit and Govindu, Venu Madhav},
      • title = {Sensitivity in Translation Averaging},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2023,
      • volume = 36,
      • month = dec,
      • url = {https://ee.iisc.ac.in/cvlab/research/tasensitivity/ta_sensitivity.pdf}
      • }
    •  Lalit Manam and Venu Madhav Govindu, "Correspondence Reweighted Translation Averaging", European Conference on Computer Vision (ECCV), 2022, pp. 56-72.
      BibTeX External
      • @Inproceedings{manam2022creta,
      • author = {Manam, Lalit and Govindu, Venu Madhav},
      • title = {Correspondence Reweighted Translation Averaging},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2022,
      • pages = {56--72},
      • organization = {Springer},
      • url = {https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136930053.pdf}
      • }