Search Results for author: Sudipta N. Sinha

Found 18 papers, 3 papers with code

PatchMatch-Based Neighborhood Consensus for Semantic Correspondence

1 code implementation CVPR 2021 Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha

We address estimating dense correspondences between two images depicting different but semantically related scenes.

Semantic correspondence

Privacy Preserving Image-Based Localization

no code implementations CVPR 2019 Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys

Current localization systems rely on the persistent storage of 3D point clouds of the scene to enable camera pose estimation, but such data reveals potentially sensitive scene information.

Image-Based Localization Mixed Reality +1

Photorealistic Image Synthesis for Object Instance Detection

no code implementations9 Feb 2019 Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter

We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images.

2D Object Detection 6D Pose Estimation +3

Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching

no code implementations ECCV 2018 Johannes L. Schonberger, Sudipta N. Sinha, Marc Pollefeys

Semi-Global Matching (SGM) uses an aggregation scheme to combine costs from multiple 1D scanline optimizations that tends to hurt its accuracy in difficult scenarios.

General Classification

Learning to Align Images using Weak Geometric Supervision

no code implementations4 Aug 2018 Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha

Such descriptors are often derived using supervised learning on existing datasets with ground truth correspondences.

Semi-Global Stereo Matching with Surface Orientation Priors

no code implementations3 Dec 2017 Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha

In this paper we evaluate plane orientation priors derived from stereo matching at a coarser resolution and show that such priors can yield significant performance gains for difficult weakly-textured scenes.

Stereo Matching Stereo Matching Hand

Real-Time Seamless Single Shot 6D Object Pose Prediction

6 code implementations CVPR 2018 Bugra Tekin, Sudipta N. Sinha, Pascal Fua

For single object and multiple object pose estimation on the LINEMOD and OCCLUSION datasets, our approach substantially outperforms other recent CNN-based approaches when they are all used without post-processing.

6D Pose Estimation using RGB Drone Pose Estimation +1

Fast Multi-frame Stereo Scene Flow with Motion Segmentation

no code implementations CVPR 2017 Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato

This unified framework benefits all four tasks - stereo, optical flow, visual odometry and motion segmentation leading to overall higher accuracy and efficiency.

Motion Segmentation Optical Flow Estimation +3

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

no code implementations CVPR 2017 Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua

Our main contribution is a new bundle adjustment procedure which in addition to optimizing the camera poses, regularizes the point trajectory using a prior based on motion dynamics (or specifically flight dynamics).

3D Reconstruction Structure from Motion

Efficient and Robust Color Consistency for Community Photo Collections

no code implementations CVPR 2016 Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon

We present a robust low-rank matrix factorization method to estimate the unknown parameters of this model.

Calibrating a Non-isotropic Near Point Light Source using a Plane

no code implementations CVPR 2014 Jaesik Park, Sudipta N. Sinha, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon

We show that a non-isotropic near point light source rigidly attached to a camera can be calibrated using multiple images of a weakly textured planar scene.

Efficient High-Resolution Stereo Matching using Local Plane Sweeps

no code implementations CVPR 2014 Sudipta N. Sinha, Daniel Scharstein, Richard Szeliski

We present a stereo algorithm designed for speed and efficiency that uses local slanted plane sweeps to propose disparity hypotheses for a semi-global matching algorithm.

Global Optimization Stereo Matching +1

Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification

no code implementations CVPR 2013 Alessandro Bergamo, Sudipta N. Sinha, Lorenzo Torresani

In this paper we propose a new technique for learning a discriminative codebook for local feature descriptors, specifically designed for scalable landmark classification.

General Classification Structure from Motion

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