1 code implementation • ICCV 2023 • Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang
Therefore, RLSAC can avoid differentiating to learn the features and the feedback of downstream tasks for end-to-end robust estimation.
1 code implementation • 18 Mar 2023 • Peiwen Pan, Huan Wang, Chenyi Wang, Chang Nie
Infrared small target detection (ISTD) has a wide range of applications in early warning, rescue, and guidance.
no code implementations • 22 Aug 2022 • Chang Nie, Yiqing Hu, Yanqiu Qu, Hao liu, Deqiang Jiang, Bo Ren
To realize this goal, we design the learning paradigm from three perspectives: 1) generating attribute views, 2) extracting subtle but crucial details, and 3) exploiting valued view pairs for learning, to fully unlock the pre-training potential.
no code implementations • 30 May 2022 • Chang Nie, Huan Wang, Lu Zhao
Deep neural networks (DNNs) have delivered a remarkable performance in many tasks of computer vision.
no code implementations • 9 Sep 2021 • Chang Nie, Huan Wang, Zhihui Lai
In particular, each component can be represented as multilinear connections over several latent factors and naturally mapped to a specific tensor network (TN) topology.