3 papers
cs.CV2024
Multiple weather images restoration using the task transformer and adaptive mixup strategy
Yang Wen, Anyu Lai, Bo Qian +3
The current state-of-the-art in severe weather removal predominantly focuses on single-task applications, such as rain removal, haze removal, and snow removal. However, real-world…
cs.CV2024
DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
Xiaoxuan Yu, Hao Wang, Weiming Li +3
Point scene understanding is a challenging task to process real-world scene point cloud, which aims at segmenting each object, estimating its pose, and reconstructing its mesh simu…
cs.CV2024
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang +3
Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community. However, indiscernible object counting, which aims to count th…