10 citations · 14 across the 5 of their papers we have counts for
7 papers
NBS: No Bias Stereo
Vage Taamazyan, Zhuowen Shen, Stefan Hinterstoisser +6
Stereo reconstruction is one of the last remaining Computer Vision tasks where all state-of-the-art methods employ a heavy architectural inductive bias. Even though it has been dem…
Collision Avoidance Metric for 3D Camera Evaluation
Vage Taamazyan, Alberto Dall'olio, Agastya Kalra
3D cameras have emerged as a critical source of information for applications in robotics and autonomous driving. These cameras provide robots with the ability to capture and utiliz…
Towards Rotation Invariance in Object Detection
Agastya Kalra, Guy Stoppi, Bradley Brown +2
Rotation augmentations generally improve a model's invariance/equivariance to rotation - except in object detection. In object detection the shape is not known, therefore rotation…
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
Abdullah Rashwan, Rishav Agarwal, Agastya Kalra +1
We present MatrixNets (xNets), a new deep architecture for object detection. xNets map objects with similar sizes and aspect ratios into many specialized layers, allowing xNets to…
Matrix Nets: A New Deep Architecture for Object Detection
Abdullah Rashwan, Agastya Kalra, Pascal Poupart
We present Matrix Nets (xNets), a new deep architecture for object detection. xNets map objects with different sizes and aspect ratios into layers where the sizes and the aspect ra…
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction
Agastya Kalra, Ben Peterson
In just a few years, online dating has become the dominant way that young people meet to date, making the deceptively error-prone task of picking good dating profile photos vital t…
Online Structure Learning for Sum-Product Networks with Gaussian Leaves
Wilson Hsu, Agastya Kalra, Pascal Poupart
Sum-product networks have recently emerged as an attractive representation due to their dual view as a special type of deep neural network with clear semantics and a special type o…