318 citations · 1.1k across the 52 of their papers we have counts for
7 papers · 1 filter
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
Qingyu Xu, Longguang Wang, Weidong Sheng +4
Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality…
VideoDirector: Precise Video Editing via Text-to-Video Models
Yukun Wang, Longguang Wang, Zhiyuan Ma +3
Despite the typical inversion-then-editing paradigm using text-to-image (T2I) models has demonstrated promising results, directly extending it to text-to-video (T2V) models still s…
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
Longguang Wang, Yulan Guo, Juncheng Li +6
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-…
Preserving Full Degradation Details for Blind Image Super-Resolution
Hongda Liu, Longguang Wang, Ye Zhang +3
The performance of image super-resolution relies heavily on the accuracy of degradation information, especially under blind settings. Due to the absence of true degradation models…
SpecDETR: A transformer-based hyperspectral point object detection network
Zhaoxu Li, Wei An, Gaowei Guo +3
Hyperspectral target detection (HTD) aims to identify specific materials based on spectral information in hyperspectral imagery and can detect extremely small-sized objects, some o…
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt
Zhiqi Huang, Huixin Xiong, Haoyu Wang +2
Text-to-image generation has witnessed great progress, especially with the recent advancements in diffusion models. Since texts cannot provide detailed conditions like object appea…
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Zhuo Su, Jiehua Zhang, Longguang Wang +4
Recently, there have been tremendous efforts in developing lightweight Deep Neural Networks (DNNs) with satisfactory accuracy, which can enable the ubiquitous deployment of DNNs in…