Ayan Sinha

According to our database, Ayan Sinha authored at least 16 papers between 2014 and 2025.

Collaborative distances:

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

2025

GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace.

Mikolaj Sacha, Hammad Jafri, Mattie Terzolo, Ayan Sinha, Andrew Rabinovich

CoRR, December, 2025

UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI.

Darvin Yi, Teng Liu, Mattie Terzolo, Lance Hasson, Ayan Sinha, Pablo Mendes, Andrew Rabinovich

CoRR, November, 2025

DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications.

Joachim Daiber, Victor Maricato, Ayan Sinha, Andrew Rabinovich

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2020

Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo.

Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2020

DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points.

Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich

Proceedings of the Computer Vision - ECCV 2020, 2020

Atlas: End-to-End 3D Scene Reconstruction from Posed Images.

Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices.

Prajwal Chidananda, Ayan Sinha, Adithya Rao, Douglas Lee, Andrew Rabinovich

CoRR, 2019

Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution.

Min Liu, Fupin Yao, Chiho Choi, Ayan Sinha, Karthik Ramani

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Gradient Adversarial Training of Neural Networks.

Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2018

2017

Lensless computational imaging through deep learning.

Ayan Sinha, Justin Lee, Shuai Li, George Barbastathis

CoRR, 2017

SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks.

Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deconvolving Feedback Loops in Recommender Systems.

Ayan Sinha, David F. Gleich, Karthik Ramani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Learning 3D Shape Surfaces Using Geometry Images.

Ayan Sinha, Jing Bai, Karthik Ramani

Proceedings of the Computer Vision - ECCV 2016, 2016

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features.

Ayan Sinha, Chiho Choi, Karthik Ramani

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Collaborative Filtering Approach to Real-Time Hand Pose Estimation.

Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Multi-Scale Kernels Using Random Walks.

Ayan Sinha, Karthik Ramani

Comput. Graph. Forum, 2014