EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
HumMUSS: Human Motion Understanding Using State Space Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Speech Driven Tongue Animation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
More is better: 3D human pose estimation from complementary data sources.
PhD thesis, 2021
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture.
Proceedings of the 2018 International Conference on 3D Vision, 2018
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Deep Convolutional Neural Networks for pedestrian detection.
Signal Process. Image Commun., 2016
Reduced memory region based deep Convolutional Neural Network detection.
Proceedings of the IEEE 6th International Conference on Consumer Electronics - Berlin, 2016