13 citations · 14 across the 3 of their papers we have counts for
6 papers
Multi-Person 3D Human Pose Estimation from Monocular Images
Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra +3
Multi-person 3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose HG-RCNN, a…
ProtoGAN: Towards Few Shot Learning for Action Recognition
Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra +2
Few-shot learning (FSL) for action recognition is a challenging task of recognizing novel action categories which are represented by few instances in the training data. In a more g…
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma +1
The best performing methods for 3D human pose estimation from monocular images require large amounts of in-the-wild 2D and controlled 3D pose annotated datasets which are costly an…
An Improved Learning Framework for Covariant Local Feature Detection
Nehal Doiphode, Rahul Mitra, Shuaib Ahmed +1
Learning feature detection has been largely an unexplored area when compared to handcrafted feature detection. Recent learning formulations use the covariant constraint in their lo…
A Large Dataset for Improving Patch Matching
Rahul Mitra, Nehal Doiphode, Utkarsh Gautam +4
We propose a new dataset for learning local image descriptors which can be used for significantly improved patch matching. Our proposed dataset consists of an order of magnitude mo…
Improved Descriptors for Patch Matching and Reconstruction
Rahul Mitra, Jiakai Zhang, Sanath Narayan +3
We propose a convolutional neural network (ConvNet) based approach for learning local image descriptors which can be used for significantly improved patch matching and 3D reconstru…