100 citations · 112 across the 6 of their papers we have counts for
7 papers
Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks
Siddharth Mahendran, Ming Yang Lu, Haider Ali +1
We consider the task of estimating the 3D orientation of an object of known category given an image of the object and a bounding box around it. Recently, CNN-based regression and c…
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images
Siddharth Mahendran, Haider Ali, Rene Vidal
3D pose estimation from a single 2D image is an important and challenging task in computer vision with applications in autonomous driving, robot manipulation and augmented reality.…
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding
Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati +2
Fine-grained action segmentation and recognition is an important yet challenging task. Given a long, untrimmed sequence of kinematic data, the task is to classify the action at eac…
Stretching Domain Adaptation: How far is too far?
Yunhan Zhao, Haider Ali, Rene Vidal
While deep learning has led to significant advances in visual recognition over the past few years, such advances often require a lot of annotated data. Unsupervised domain adaptati…
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
Siddharth Mahendran, Haider Ali, Rene Vidal
Current CNN-based algorithms for recovering the 3D pose of an object in an image assume knowledge about both the object category and its 2D localization in the image. In this paper…
3D Pose Regression using Convolutional Neural Networks
Siddharth Mahendran, Haider Ali, Rene Vidal
3D pose estimation is a key component of many important computer vision tasks such as autonomous navigation and 3D scene understanding. Most state-of-the-art approaches to 3D pose…
Two-Stream RNN/CNN for Action Recognition in 3D Videos
Rui Zhao, Haider Ali, Patrick van der Smagt
The recognition of actions from video sequences has many applications in health monitoring, assisted living, surveillance, and smart homes. Despite advances in sensing, in particul…