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7 papers · 2 filters
Learning a No-Reference Quality Metric for Single-Image Super-Resolution
Chao Ma, Chih-Yuan Yang, Xiaokang Yang +1
Numerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on visual perception. Wh…
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification
ZongYuan Ge, Chris McCool, Conrad Sanderson +4
Fine-grained classification is a relatively new field that has concentrated on using information from a single image, while ignoring the enormous potential of using video data to i…
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification
Lin Wu, Chunhua Shen, Anton van den Hengel
Person re-identification is to seek a correct match for a person of interest across views among a large number of imposters. It typically involves two procedures of non-linear feat…
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals
Gao Zhu, Fatih Porikli, Hongdong Li
Most tracking-by-detection methods employ a local search window around the predicted object location in the current frame assuming the previous location is accurate, the trajectory…
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version)
Piotr Koniusz, Anoop Cherian, Fatih Porikli
In this paper, we explore tensor representations that can compactly capture higher-order relationships between skeleton joints for 3D action recognition. We first define RBF kernel…
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang, Guosheng Lin, Chunhua Shen +1
In this paper, we aim to learn a mapping (or embedding) from images to a compact binary space in which Hamming distances correspond to a ranking measure for the image retrieval tas…