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2020 – today
- 2024
[c16]Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar:
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. CVPR Workshops 2024: 522-532- [c15]Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar:
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. ECCV (59) 2024: 144-161 - [c14]Tsung-Han Lin, Connor Henley, Siddharth Somasundaram, Akshat Dave, Moshe Laifenfeld, Ramesh Raskar:
Handheld Mapping of Specular Surfaces Using Consumer-Grade Flash LiDAR. ICCP 2024: 1-12 - [i12]Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar:
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. CoRR abs/2403.13199 (2024) - [i11]Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza:
Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. CoRR abs/2404.11511 (2024) - [i10]Akshat Dave, Tianyi Zhang, Aaron Young, Ramesh Raskar, Wolfgang Heidrich, Ashok Veeraraghavan:
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity. CoRR abs/2406.10212 (2024) - [i9]Aaron Young, Nevindu Batagoda, Harry Zhang, Akshat Dave, Adithya Pediredla, Dan Negrut, Ramesh Raskar:
Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR. CoRR abs/2410.03555 (2024) - [i8]Nikhil Behari, Aaron Young, Siddharth Somasundaram, Tzofi Klinghoffer, Akshat Dave, Ramesh Raskar:
Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB. CoRR abs/2411.19474 (2024) - 2023
- [j2]Mel J. White
, Tianyi Zhang, Akshat Dave, Shahaboddin Ghajari, Alyosha C. Molnar, Ashok Veeraraghavan:
First-Arrival Differential Counting for SPAD Array Design. Sensors 23(23): 9445 (2023) - [c13]Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar:
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging. CVPR 2023: 9192-9201 - [c12]Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar:
ORCa: Glossy Objects as Radiance-Field Cameras. CVPR 2023: 20773-20782 - [c11]Seung-Hwan Baek, Ramesh Raskar, Jinwei Ye, Akshat Dave, Achuta Kadambi, Huaijin George Chen:
Polarization-Based Visual Computing. SIGGRAPH Courses 2023: 13:1 - [c10]Akshat Dave:
Seeing the Invisible: Next-Generation Cameras Leveraging Hidden Properties of Light. SIGGRAPH Asia Doctoral Consortium 2023: 10:1-10:4 - [i7]Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar:
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging. CoRR abs/2304.01308 (2023) - [i6]Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar:
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. CoRR abs/2312.16215 (2023) - 2022
- [c9]Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan:
PANDORA: Polarization-Aided Neural Decomposition of Radiance. ECCV (7) 2022: 538-556 - [c8]Tianyi Zhang, Mel J. White, Akshat Dave, Shahaboddin Ghajari, Ankit Raghuram, Alyosha C. Molnar, Ashok Veeraraghavan:
First Arrival Differential LiDAR. ICCP 2022: 1-12 - [c7]Mel J. White, Shahaboddin Ghajari, Tianyi Zhang, Akshat Dave, Ashok Veeraraghavan, Alyosha C. Molnar:
A Differential SPAD Array Architecture in 0.18 μm CMOS for HDR Imaging. ISCAS 2022: 292-296 - [i5]Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan:
PANDORA: Polarization-Aided Neural Decomposition Of Radiance. CoRR abs/2203.13458 (2022) - [i4]Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar:
ORCa: Glossy Objects as Radiance Field Cameras. CoRR abs/2212.04531 (2022) - 2021
- [c6]Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk:
Thermal Image Processing via Physics-Inspired Deep Networks. ICCVW 2021: 4040-4048 - [i3]Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk:
Thermal Image Processing via Physics-Inspired Deep Networks. CoRR abs/2108.07973 (2021)
2010 – 2019
- 2019
- [j1]Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra:
Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior. IEEE Trans. Computational Imaging 5(1): 37-51 (2019) - [c5]Adithya Pediredla, Akshat Dave, Ashok Veeraraghavan:
SNLOS: Non-line-of-sight Scanning through Temporal Focusing. ICCP 2019: 1-13 - [c4]Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan:
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator. ICCV 2019: 7888-7898 - 2018
- [i2]Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra:
Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior. CoRR abs/1802.09850 (2018) - 2017
- [c3]Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra:
Compressive image recovery using recurrent generative model. ICIP 2017: 1702-1706 - 2016
- [i1]Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra:
Compressive Image Recovery Using Recurrent Generative Model. CoRR abs/1612.04229 (2016) - 2014
- [c2]Rachit Dubey, Akshat Dave, Bernard Ghanem:
Improving Saliency Models by Predicting Human Fixation Patches. ACCV (3) 2014: 330-345 - 2012
- [c1]Akshat Dave, Rachit Dubey, Bernard Ghanem:
Do humans fixate on interest points? ICPR 2012: 2784-2787
Coauthor Index
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