N. Dinesh Reddy

According to our database, N. Dinesh Reddy authored at least 17 papers between 2013 and 2024.

Collaborative distances:

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

2024

WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion.

Khiem Vuong, N. Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan

CoRR, 2024

2023

Reconstructing Animatable Categories from Videos.

Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan

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

Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection.

Anurag Ghosh, N. Dinesh Reddy, Christoph Mertz, Srinivasa G. Narasimhan

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

2022

WALT: Watch And Learn 2D amodal representation from Time-lapse imagery.

N. Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision.

Fangyu Li, N. Dinesh Reddy, Xudong Chen, Srinivasa G. Narasimhan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking.

N. Dinesh Reddy, Laurent Guigues, Leonid Pishchulin, Jayan Eledath, Srinivasa G. Narasimhan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Diffraction Line Imaging.

Mark Sheinin, N. Dinesh Reddy, Matthew O'Toole, Srinivasa G. Narasimhan

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks.

N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles.

N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Joint Semantic and Motion Segmentation for Dynamic Scenes using Deep Convolutional Networks.

Nazrul Haque, N. Dinesh Reddy, K. Madhava Krishna

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Temporal Semantic Motion Segmentation Using Spatio Temporal Optimization.

Nazrul Haque, N. Dinesh Reddy, K. Madhava Krishna

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Incremental real-time multibody VSLAM with trajectory optimization using stereo camera.

N. Dinesh Reddy, Iman Abbasnejad, Sheetal Reddy, Amit Kumar Mondal, Vindhya Devalla

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Monocular reconstruction of vehicles: Combining SLAM with shape priors.

Falak Chhaya, N. Dinesh Reddy, Sarthak Upadhyay, Visesh Chari, M. Zeeshan Zia, K. Madhava Krishna

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Dynamic body VSLAM with semantic constraints.

N. Dinesh Reddy, Prateek Singhal, Visesh Chari, K. Madhava Krishna

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Top Down Approach to Detect Multiple Planes from Pair of Images.

Prateek Singhal, Aditya Deshpande, Harit Pandya, N. Dinesh Reddy, K. Madhava Krishna

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Semantic Motion Segmentation Using Dense CRF Formulation.

N. Dinesh Reddy, Prateek Singhal, K. Madhava Krishna

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Top Down Approach to Multiple Plane Detection.

Prateek Singhal, Aditya Deshpande, N. Dinesh Reddy, K. Madhava Krishna

CoRR, 2013