About me

I am a postdoc at Mitsubishi Electric Research Labs, looking at 3D reconstruction problems in computer vision. Previously, I completed my PhD from the Indian Institute of Science where I worked at the Computer Vision Laboratory, headed by Prof Venu Madhav Govindu. My research in PhD was supported by a Prime Minister’s Research Fellowship.

During my undergraduate days, I spent about two years working on impulse noise removal from colour images. I like volunteering and organising events. I enjoy listening to music in free time.

Download my CV - Curriculum Vitae

Contact

• Office: manam[at]merl.com
• Personal: lalitmanam[at]gmail.com

News

• 10/2025 - I joined Mitsubishi Electric Research Labs as a postdoc!
• 09/2025 - Our paper, ‘Unifying Viewgraph Sparsification and Disambiguation of Repeated Structures in Structure-from-Motion’ has been accepted at IJCV, more details coming soon!
• 09/2025 - Selected for 2025 ICCV Doctoral Consortium, see you there!
• 03/2025 - Defended my PhD Thesis titled ‘Global Methods for Camera Motion Estimation’
• 04/2024 - Presented my recent works at IISc EECS Symposium 2024
• 02/2024 - Our paper, ‘Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion,’ has been accepted at CVPR 2024!
• 10/2023 - Our paper, ‘Fusing Directions and Displacements in Translation Averaging,’ has been accepted at 3DV 2024!
• 09/2023 - Our paper, ‘Sensitivity in Translation Averaging,’ has been accepted at NeurIPS 2023!
• 07/2023 - Presented a talk on ‘Solving Translation Averaging - Lessons for Engineers’, took a tutorial on ‘3D Volumetric Rendering - Neural Radiance Fields,’ and was a part of panel discussion at IISc EE Summer School
• 02/2023 - Our paper, ‘Adaptive Annealing for Robust Geometric Estimation,’ has been accepted at CVPR 2023!
• 07/2022 - Our paper, ‘Correspondence Reweighted Translation Averaging,’ has been accepted at ECCV 2022!