Search Results - "Dave, Akshat"

First-Arrival Differential Counting for SPAD Array Design by White, Mel, Zhang, Tianyi, Dave, Akshat, Ghajari, Shahaboddin, Molnar, Alyosha, Veeraraghavan, Ashok

“…We present a novel architecture for the design of single-photon detecting arrays that captures relative intensity or timing information from a scene, rather…”
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Role of Transients in Two-Bounce Non-Line-of-Sight Imaging by Somasundaram, Siddharth, Dave, Akshat, Henley, Connor, Veeraraghavan, Ashok, Raskar, Ramesh

“…The goal of non-line-of-sight (NLOS) imaging is to image objects occluded from the camera's field of view using multiply scattered light. Recent works have…”
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ORCa: Glossy Objects as Radiance-Field Cameras by Tiwary, Kushagra, Dave, Akshat, Behari, Nikhil, Klinghoffer, Tzofi, Veeraraghavan, Ashok, Raskar, Ramesh

“…Reflections on glossy objects contain valuable and hidden information about the surrounding environment. By converting these objects into cameras, we can…”
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Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior by Dave, Akshat, Vadathya, Anil Kumar, Subramanyam, Ramana, Baburajan, Rahul, Mitra, Kaushik

“…Signal reconstruction is a challenging aspect of computational imaging as it often involves solving ill-posed inverse problems. Recently, deep feed-forward…”
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Snapshot polarimetric diffuse-specular separation by Dave, Akshat, Hold-Geoffroy, Yannick, Hašan, Miloš, Sunkavalli, Kalyan, Veeraraghavan, Ashok

“…We present a polarization-based approach to perform diffuse-specular separation from a single polarimetric image, acquired using a flexible, practical capture…”
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Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator by Ahn, Byeongjoo, Dave, Akshat, Veeraraghavan, Ashok, Gkioulekas, Ioannis, Sankaranarayanan, Aswin

“…Non-line-of-sight (NLOS) imaging aims to reconstruct scenes outside the field of view of an imaging system. A common approach is to measure the so-called light…”
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Thermal Image Processing via Physics-Inspired Deep Networks by Saragadam, Vishwanath, Dave, Akshat, Veeraraghavan, Ashok, Baraniuk, Richard G.

“…We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation…”
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A Differential SPAD Array Architecture in 0.18 μm CMOS for HDR Imaging by White, Mel, Ghajari, Shahaboddin, Zhang, Tianyi, Dave, Akshat, Veeraraghavan, Ashok, Molnar, Alyosha

“…We propose a scalable architecture for a differential single-photon avalanche diode (D-SPAD) array which generates measurements based on differential…”
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Compressive image recovery using recurrent generative model by Dave, Akshat, Vadathya, Anil Kumar, Mitra, Kaushik

“…Reconstruction of signals from compressively sensed measurements is an ill-posed problem. In this paper, we leverage the recurrent generative model, RIDE, as…”
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Application of convolutional neural network models for personality prediction from social media images and citation prediction for academic papers by Dave, Akshat

“…Inspired by the success of convolutional neural networks in image classification, and other higher level vision tasks, we explore two applications of such deep…”
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SNLOS: Non-line-of-sight Scanning through Temporal Focusing by Pediredla, Adithya, Dave, Akshat, Veeraraghavan, Ashok

“…Over the last decade, several techniques have been developed for looking around the corner by exploiting the round-trip travel time of photons. Typically,…”
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SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition by Behari, Nikhil, Dave, Akshat, Tiwary, Kushagra, Yang, William, Raskar, Ramesh

“…Estimating 3D geometry of terrain from satellite imagery is essential for environmental science, urban planning, agriculture, and disaster response. However,…”
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SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition by Behari, Nikhil, Dave, Akshat, Tiwary, Kushagra, Yang, William, Raskar, Ramesh

“…3D modeling from satellite imagery is essential in areas of environmental science, urban planning, agriculture, and disaster response. However, traditional 3D…”
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PANDORA: Polarization-Aided Neural Decomposition Of Radiance by Dave, Akshat, Zhao, Yongyi, Veeraraghavan, Ashok

“…Reconstructing an object's geometry and appearance from multiple images, also known as inverse rendering, is a fundamental problem in computer graphics and…”
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Role of Transients in Two-Bounce Non-Line-of-Sight Imaging by Somasundaram, Siddharth, Dave, Akshat, Henley, Connor, Veeraraghavan, Ashok, Raskar, Ramesh

“…The goal of non-line-of-sight (NLOS) imaging is to image objects occluded from the camera's field of view using multiply scattered light. Recent works have…”
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Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR by Young, Aaron, Batagoda, Nevindu M, Zhang, Harry, Dave, Akshat, Pediredla, Adithya, Negrut, Dan, Raskar, Ramesh

“…Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages…”
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Handheld Mapping of Specular Surfaces Using Consumer-Grade Flash LiDAR by Lin, Tsung-Han, Henley, Connor, Somasundaram, Siddharth, Dave, Akshat, Laifenfeld, Moshe, Raskar, Ramesh

“…We propose an approach to leverage multi-bounce returns of a flash LiDAR on portable smartphones for 3D specular surface reconstruction. Traditional LiDAR…”
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NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity by Dave, Akshat, Zhang, Tianyi, Young, Aaron, Raskar, Ramesh, Heidrich, Wolfgang, Veeraraghavan, Ashok

“…Photoelasticity enables full-field stress analysis in transparent objects through stress-induced birefringence. Existing techniques are limited to 2D slices…”
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Do humans fixate on interest points? by Dave, A., Dubey, R., Ghanem, B.

“…Interest point detectors (e.g. SIFT, SURF, and MSER) have been successfully applied to numerous applications in high level computer vision tasks such as object…”
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Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging by Muglikar, Manasi, Somasundaram, Siddharth, Dave, Akshat, Charbon, Edoardo, Raskar, Ramesh, Scaramuzza, Davide

“…Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion…”
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