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                Siddharth Somasundaram
               
              I am a PhD student at MIT Media Lab in Cambridge, MA working with Prof. Ramesh Raskar in the Camera Culture group. My research is currently supported by the NSF Graduate Research Fellowship. 
                 
              
                I previously graduated from UCLA Electrical Engineering in 2021, where I worked with Prof. Diana Huffaker on semiconductor nanowire photodetectors and Prof. Achuta Kadambi on computational camera design.
               
              
                Email  / 
                CV  / 
                Google Scholar  / 
                Twitter  / 
                Github
               
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              Research
               
               My goal is to enable new vision capabilities by designing sensing systems that perceive the world differently from the human eye. My current interests are in single-photon and time-of-flight imaging. My research has covered applications in 3D vision, low-light, high-speed, and non-line-of-sight imaging. Selected papers are highlighted.
               
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      Imaging Hidden Objects with Consumer LiDAR using Motion-Induced Aperture Sampling
    
     
    
Siddharth Somasundaram, Aaron Young, Akshat Dave, Adithya Pediredla, Ramesh Raskar
     
    Under Review  
     
          [project page]
          [code]
    
    Practical non-line-of-sight imaging using off-the-shelf consumer LiDAR hardware. 
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      Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Light
    
     
    
Tzofi Klinghoffer, Siddharth Somasundaram*, Xiaoyu Xiang*, Yuchen Fan, Christian Richardt, Akshat Dave, Ramesh Raskar, Rakesh Ranjan
     
    SIGGRAPH Asia 2025 (Conference Track)  
     
          [project page]
          [paper]
    
    Data-driven shape and material recovery under complex time-resolved light transport. 
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      Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging
    
     
    
Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza
     
    IEEE TPAMI 2025  
     
          [paper]
    
    Sensor fusion approach for high-speed, low-light imaging. 
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      Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
    
     
    
Nikhil Behari, Aaron Young, Siddharth Somasundaram, Tzofi Klinghoffer, Akshat Dave, Ramesh Raskar
     
    CVPR 2025    (Highlight)
     
    [project page]  
    [video]
    [code]
    [data]
    [paper]
    
    
    Sensor fusion approach for 3D reconstruction of textureless surfaces in low-light. 
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      Handheld Mapping of Specular Surfaces using Consumer-Grade Flash LiDAR
    
     
    
Tsung-Han Lin, Connor Henley, Siddharth Somasundaram, Akshat Dave, Moshe Laifenfeld, Ramesh Raskar
     
    ICCP 2024 
     
    [project page]  
          [paper]
    
    Mapping specular surfaces using natural handheld motion of consumer-gradeLiDAR. 
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          PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
        
         
        
Tzofi Klinghoffer, Xiaoyu Xiang*, Siddharth Somasundaram*, Yuchen Fan, Christian Richardt, Ramesh Raskar, Rakesh Ranjan
         
        CVPR 2024   (Oral ~0.8% Acceptance)
         
				[project page]  
	      			[video]
				[code]
	      			[data]
	      			[paper]
        
        Single-view occlusion-aware 3D reconstruction using two-bounce LiDAR. 
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          Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
        
         
        Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar
         
        CVPR 2023
         
        [project page]
        [video]
	[code]
        [paper]
        
        
        LiDAR transients can reduce number of measurements needed for two-bounce non-line-of-sight imaging.
         
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          Detection and Mapping of Specular Surfaces using Multibounce LiDAR Returns
        
         
        
Connor Henley, Siddharth Somasundaram, Joseph Hollmann, Ramesh Raskar
         
        Optics Express 2023
         
				[project page]  
				[code]
	      			[paper]
        
        Detect and map specular surfaces using angle-of-arrival and time-of-flight of light. 
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          Physics vs. Learned Priors: Rethinking Camera Design for Task-Specific Camera and Algorithm Design
        
         
        Tzofi Klinghoffer*, Siddharth Somasundaram*, Kushagra Tiwary*, Ramesh Raskar
	 
        ICCP 2022
         
        [video] 
	[paper]
        
        
        Review perspective on convergence of computational imaging, end-to-end optimization, and physics-based machine learning for imaging system design.
         
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          The source code for this website was adapted from the website of Dr. Jon Barron. 
         
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