179 citations · 227 across the 18 of their papers we have counts for
11 papers · 1 filter
Action Anticipation with RBF Kernelized Feature Mapping RNN
Yuge Shi, Basura Fernando, Richard Hartley
We introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN. Our novel RNN architecture bui…
Fast and Differentiable Message Passing on Pairwise Markov Random Fields
Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley
Despite the availability of many Markov Random Field (MRF) optimization algorithms, their widespread usage is currently limited due to imperfect MRF modelling arising from hand-cra…
Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr +2
Quantizing large Neural Networks (NN) while maintaining the performance is highly desirable for resource-limited devices due to reduced memory and time complexity. It is usually fo…
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
Kartik Gupta, Lars Petersson, Richard Hartley
We present a new approach for a single view, image-based object pose estimation. Specifically, the problem of culling false positives among several pose proposal estimates is addre…
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
Muhammad Faisal, Ijaz Akhter, Mohsen Ali +1
The existing approaches for salient motion segmentation are unable to explicitly learn geometric cues and often give false detections on prominent static objects. We exploit multiv…
Deep Declarative Networks: A New Hope
Stephen Gould, Richard Hartley, Dylan Campbell
We explore a new class of end-to-end learnable models wherein data processing nodes (or network layers) are defined in terms of desired behavior rather than an explicit forward fun…