Do humans fixate on interest points? - Akshat Dave; Rachit Dubey; Bernard Ghanem (ICPR, 2012)

Improving Saliency Models by Predicting Human Fixation Patches. - Rachit Dubey; Akshat Dave; Bernard Ghanem (ACCV (3), 2014)

Compressive image recovery using recurrent generative model. - Akshat Dave; Anil Kumar Vadathya; Kaushik Mitra (ICIP, 2017)

SNLOS: Non-line-of-sight Scanning through Temporal Focusing. - Adithya Pediredla; Akshat Dave; Ashok Veeraraghavan (ICCP, 2019)

Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator. - Byeongjoo Ahn; Akshat Dave; Ashok Veeraraghavan; Ioannis Gkioulekas; Aswin C. Sankaranarayanan (ICCV, 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)

Thermal Image Processing via Physics-Inspired Deep Networks. - Vishwanath Saragadam; Akshat Dave; Ashok Veeraraghavan; Richard G. Baraniuk (ICCVW, 2021)

PANDORA: Polarization-Aided Neural Decomposition of Radiance. - Akshat Dave; Yongyi Zhao; Ashok Veeraraghavan (ECCV (7), 2022)

First Arrival Differential LiDAR. - Tianyi Zhang; Mel J. White; Akshat Dave; Shahaboddin Ghajari; Ankit Raghuram; Alyosha C. Molnar; Ashok Veeraraghavan (ICCP, 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 (ISCAS, 2022)

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging. - Siddharth Somasundaram; Akshat Dave; Connor Henley; Ashok Veeraraghavan; Ramesh Raskar (CVPR, 2023)

ORCa: Glossy Objects as Radiance-Field Cameras. - Kushagra Tiwary; Akshat Dave; Nikhil Behari; Tzofi Klinghoffer; Ashok Veeraraghavan; Ramesh Raskar (CVPR, 2023)

Polarization-Based Visual Computing. - Seung-Hwan Baek; Ramesh Raskar; Jinwei Ye; Akshat Dave; Achuta Kadambi; Huaijin George Chen (SIGGRAPH Courses, 2023)

Seeing the Invisible: Next-Generation Cameras Leveraging Hidden Properties of Light. - Akshat Dave (SIGGRAPH Asia Doctoral Consortium, 2023)

First-Arrival Differential Counting for SPAD Array Design. - Mel J. White; Tianyi Zhang; Akshat Dave; Shahaboddin Ghajari; Alyosha C. Molnar; Ashok Veeraraghavan (Sensors, 2023)

SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. - Nikhil Behari; Akshat Dave; Kushagra Tiwary; William Yang; Ramesh Raskar (CVPR Workshops, 2024)

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. - Zaid Tasneem; Akshat Dave; Abhishek Singh 005; Kushagra Tiwary; Praneeth Vepakomma; Ashok Veeraraghavan; Ramesh Raskar (ECCV (59), 2024)

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)

Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR. - Aaron Young; Nevindu Batagoda; Harry Zhang; Akshat Dave; Adithya Pediredla; Dan Negrut; Ramesh Raskar (CoRR, 2024)

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)

What if Eye...? Computationally Recreating Vision Evolution. - Kushagra Tiwary; Aaron Young; Zaid Tasneem; Tzofi Klinghoffer; Akshat Dave; Tomaso A. Poggio; Dan Nilsson; Brian Cheung; Ramesh Raskar (CoRR, 2025)

TranSplat: Lighting-Consistent Cross-Scene Object Transfer with 3D Gaussian Splatting. - Boyang Yu; Yanlin Jin; Ashok Veeraraghavan; Akshat Dave; Guha Balakrishnan (CoRR, 2025)

NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity. - Akshat Dave; Tianyi Zhang; Aaron Young; Ramesh Raskar; Wolfgang Heidrich; Ashok Veeraraghavan (ACM Trans. Graph., 2025)

Task-Driven Implicit Representations for Automated Design of LiDAR Systems. - Nikhil Behari; Aaron Young; Akshat Dave; Ramesh Raskar (CoRR, 2025)

Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. - Manasi Muglikar; Siddharth Somasundaram; Akshat Dave; Edoardo Charbon; Ramesh Raskar; Davide Scaramuzza 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)