300 citations · 1.3k across the 36 of their papers we have counts for
9 papers · 1 filter
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Lingbo Liu, Jiaqi Chen, Hefeng Wu +3
Crowd counting is a fundamental yet challenging task, which desires rich information to generate pixel-wise crowd density maps. However, most previous methods only used the limited…
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification
Aihua Zheng, Xia Sun, Chenglong Li +1
Vehicle re-identification (Re-ID) is an active task due to its importance in large-scale intelligent monitoring in smart cities. Despite the rapid progress in recent years, most ex…
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
Andong Lu, Chenglong Li, Yuqing Yan +2
RGBT tracking has attracted increasing attention since RGB and thermal infrared data have strong complementary advantages, which could make trackers all-day and all-weather work. H…
Duality-Gated Mutual Condition Network for RGBT Tracking
Andong Lu, Cun Qian, Chenglong Li +2
Low-quality modalities contain not only a lot of noisy information but also some discriminative features in RGBT tracking. However, the potentials of low-quality modalities are not…
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu, Xin Li, Zhenyu He +8
In this paper, we present a Large-Scale and high-diversity general Thermal InfraRed (TIR) Object Tracking Benchmark, called LSOTBTIR, which consists of an evaluation dataset and a…
Challenge-Aware RGBT Tracking
Chenglong Li, Lei Liu, Andong Lu +2
RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role to represent the target appearance in RGBT tr…