activity
20162026
most citedSynthetic data generation for end-to-end thermal infrared tracking

181 citations · 267 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

GTF: Omnidirectional EPI Transformer for Light Field Super-Resolution

Kunyu Li, Fei Wang, Lichao Zhang +2

Light field (LF) image super-resolution benefits from Epipolar Plane Images (EPIs), whose line slopes explicitly encode disparity. However, existing Transformer-based LF SR methods…

cs.CV2021★ 31 cited

Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking

Jingxian Sun, Lichao Zhang, Yufei Zha +4

The target representation learned by convolutional neural networks plays an important role in Thermal Infrared (TIR) tracking. Currently, most of the top-performing TIR trackers ar…

cs.CV2019★ 14 cited

Learning the Model Update for Siamese Trackers

Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer +2

Siamese approaches address the visual tracking problem by extracting an appearance template from the current frame, which is used to localize the target in the next frame. In gener…

cs.CV2019

Multi-Modal Fusion for End-to-End RGB-T Tracking

Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia +2

We propose an end-to-end tracking framework for fusing the RGB and TIR modalities in RGB-T tracking. Our baseline tracker is DiMP (Discriminative Model Prediction), which employs a…

cs.CV2018★ 181 cited

Synthetic data generation for end-to-end thermal infrared tracking

Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer +2

The usage of both off-the-shelf and end-to-end trained deep networks have significantly improved performance of visual tracking on RGB videos. However, the lack of large labeled da…

cs.CV2016★ 41 cited

Ensembles of Generative Adversarial Networks

Yaxing Wang, Lichao Zhang, Joost van de Weijer

Ensembles are a popular way to improve results of discriminative CNNs. The combination of several networks trained starting from different initializations improves results signific…