111 citations · 734 across the 50 of their papers we have counts for
6 papers · 1 filter
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process
Qingzhong Wang, Antoni B. Chan
Although significant progress has been made in the field of automatic image captioning, it is still a challenging task. Previous works normally pay much attention to improving the…
ROAM: Recurrently Optimizing Tracking Model
Tianyu Yang, Pengfei Xu, Runbo Hu +2
In this paper, we design a tracking model consisting of response generation and bounding box regression, where the first component produces a heat map to indicate the presence of t…
Visual Tracking via Dynamic Memory Networks
Tianyu Yang, Antoni B. Chan
Template-matching methods for visual tracking have gained popularity recently due to their good performance and fast speed. However, they lack effective ways to adapt to changes in…
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex
Yufei Cui, Wuguannan Yao, Qiao Li +2
Estimating the predictive uncertainty of a Bayesian learning model is critical in various decision-making problems, e.g., reinforcement learning, detecting adversarial attack, self…
Describing like humans: on diversity in image captioning
Qingzhong Wang, Antoni B. Chan
Recently, the state-of-the-art models for image captioning have overtaken human performance based on the most popular metrics, such as BLEU, METEOR, ROUGE, and CIDEr. Does this mea…
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation
Sahar Yousefi, M. T. Manzuri Shalmani, Antoni B. Chan
Generative dynamic texture models (GDTMs) are widely used for dynamic texture (DT) segmentation in the video sequences. GDTMs represent DTs as a set of linear dynamical systems (LD…