Search Results for author: Sunil Hadap

Found 12 papers, 4 papers with code

MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation

1 code implementation12 Mar 2024 Yuelong Li, Yafei Mao, Raja Bala, Sunil Hadap

Connecting the two stages is a novel multi-scale residual correlation (MRC) layer that captures high-and-low level correspondences between the input image and rendering from first stage.

Pose Estimation

All-Weather Deep Outdoor Lighting Estimation

no code implementations CVPR 2019 Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde

We use this network to label a large-scale dataset of LDR panoramas with lighting parameters and use them to train our single image outdoor lighting estimation network.

Lighting Estimation

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

1 code implementation ECCV 2018 Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee

Our model jointly learns a feature embedding for motion modes (that the motion sequence can be reconstructed from) and a feature transformation that represents the transition of one motion mode to the next motion mode.

Human Dynamics Human Pose Forecasting +1

Self-supervised Multi-view Person Association and Its Applications

no code implementations22 May 2018 Minh Vo, Ersin Yumer, Kalyan Sunkavalli, Sunil Hadap, Yaser Sheikh, Srinivasa Narasimhan

Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and appearance variations, and asynchronous video streams.

Clustering

A Perceptual Measure for Deep Single Image Camera Calibration

no code implementations CVPR 2018 Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matt Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde

This network is trained using automatically generated samples from a large-scale panorama dataset, and considerably outperforms other methods, including recent deep learning-based approaches, in terms of standard L2 error.

Camera Calibration Image Retrieval +1

Neural Face Editing with Intrinsic Image Disentangling

2 code implementations CVPR 2017 Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras

Traditional face editing methods often require a number of sophisticated and task specific algorithms to be applied one after the other --- a process that is tedious, fragile, and computationally intensive.

Facial Editing Generative Adversarial Network

Specular Reflection Separation Using Dark Channel Prior

no code implementations CVPR 2013 Hyeongwoo Kim, Hailin Jin, Sunil Hadap, In-So Kweon

Our method is based on a novel observation that for most natural images the dark channel can provide an approximate specular-free image.

Cannot find the paper you are looking for? You can Submit a new open access paper.