324 citations · 893 across the 40 of their papers we have counts for
7 papers · 1 filter
Object Counting: You Only Need to Look at One
Hui Lin, Xiaopeng Hong, Yabin Wang
This paper aims to tackle the challenging task of one-shot object counting. Given an image containing novel, previously unseen category objects, the goal of the task is to count al…
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic +1
Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensi…
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration
Dong Zhou, Gunaghui Sun, Xiaopeng Hong
3D visual tracking is significant to deep space exploration programs, which can guarantee spacecraft to flexibly approach the target. In this paper, we focus on the studied accurat…
Anomaly Detection via Self-organizing Map
Ning Li, Kaitao Jiang, Zhiheng Ma +3
Anomaly detection plays a key role in industrial manufacturing for product quality control. Traditional methods for anomaly detection are rule-based with limited generalization abi…
Direct Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma +4
Traditional crowd counting approaches usually use Gaussian assumption to generate pseudo density ground truth, which suffers from problems like inaccurate estimation of the Gaussia…
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
Yuhang He, Wentao Yu, Jie Han +3
In this paper, we focus on the multi-object tracking (MOT) problem of automatic driving and robot navigation. Most existing MOT methods track multiple objects using a singular RGB…
Image-to-image Translation via Hierarchical Style Disentanglement
Xinyang Li, Shengchuan Zhang, Jie Hu +6
Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation…