Akshat Dave

According to our database, Akshat Dave authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images.

Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar

CoRR, 2024

2023

First-Arrival Differential Counting for SPAD Array Design.

Mel J. White, Tianyi Zhang, Akshat Dave, Shahaboddin Ghajari, Alyosha C. Molnar, Ashok Veeraraghavan

Sensors, December, 2023

SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition.

Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar

CoRR, 2023

Seeing the Invisible: Next-Generation Cameras Leveraging Hidden Properties of Light.

Akshat Dave

Proceedings of the SIGGRAPH Asia 2023 Doctoral Consortium, 2023

Polarization-Based Visual Computing.

Seung-Hwan Baek, Ramesh Raskar, Jinwei Ye, Akshat Dave, Achuta Kadambi, Huaijin George Chen

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

ORCa: Glossy Objects as Radiance-Field Cameras.

Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging.

Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Differential SPAD Array Architecture in 0.18 μm CMOS for HDR Imaging.

Mel J. White, Shahaboddin Ghajari, Tianyi Zhang, Akshat Dave, Ashok Veeraraghavan, Alyosha C. Molnar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

First Arrival Differential LiDAR.

Tianyi Zhang, Mel J. White, Akshat Dave, Shahaboddin Ghajari, Ankit Raghuram, Alyosha C. Molnar, Ashok Veeraraghavan

Proceedings of the IEEE International Conference on Computational Photography, 2022

PANDORA: Polarization-Aided Neural Decomposition of Radiance.

Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Thermal Image Processing via Physics-Inspired Deep Networks.

Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior.

Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra

IEEE Trans. Computational Imaging, 2019

Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator.

Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SNLOS: Non-line-of-sight Scanning through Temporal Focusing.

Adithya Pediredla, Akshat Dave, Ashok Veeraraghavan

Proceedings of the IEEE International Conference on Computational Photography, 2019

2017

Compressive image recovery using recurrent generative model.

Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

Improving Saliency Models by Predicting Human Fixation Patches.

Rachit Dubey, Akshat Dave, Bernard Ghanem

Proceedings of the Computer Vision - ACCV 2014, 2014

2012

Do humans fixate on interest points?

Akshat Dave, Rachit Dubey, Bernard Ghanem

Proceedings of the 21st International Conference on Pattern Recognition, 2012