1 code implementation • 31 Dec 2023 • Weijian Mai, Jian Zhang, Pengfei Fang, Zhijun Zhang
This survey comprehensively examines the emerging field of AIGC-based Brain-conditional Multimodal Synthesis, termed AIGC-Brain, to delineate the current landscape and future directions.
no code implementations • 4 Oct 2023 • Zhijun Zhang, Xu Zou, Jiahuan Zhou, Sheng Zhong, Ying Wu
Analysis of human actions in videos demands understanding complex human dynamics, as well as the interaction between actors and context.
no code implementations • 14 Aug 2023 • Weijian Mai, Zhijun Zhang
In this work, we propose UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity.
no code implementations • 17 Apr 2023 • Huiwen Zhang, Kai Mi, Zhijun Zhang
More tricky is that some task constraints are flexible and non-deterministic.
1 code implementation • 12 Sep 2022 • Shilv Cai, Zhijun Zhang, Liqun Chen, Luxin Yan, Sheng Zhong, Xu Zou
We implement the IAT in a mathematical invertible manner on a single rate Invertible Neural Network (INN) based model and the quality level (QLevel) would be fed into the IAT to generate scaling and bias tensors.
no code implementations • CVPR 2022 • Leizhen Dong, Zhimin Li, Kunlun Xu, Zhijun Zhang, Luxin Yan, Sheng Zhong, Xu Zou
Specifically, the Object Query would be initialized via category priors represented by an external object detection model to yield better performance.
no code implementations • 24 Feb 2022 • Kunlun Xu, Zhimin Li, Zhijun Zhang, Leizhen Dong, Wenhui Xu, Luxin Yan, Sheng Zhong, Xu Zou
Moreover, we also use an actor branch to get interaction prediction of the actor and propose a novel composition strategy based on center-point indexing to generate the final HOI prediction.
no code implementations • 1 Dec 2021 • Yanjie Wang, Xu Zou, Zhijun Zhang, Wenhui Xu, Liqun Chen, Sheng Zhong, Luxin Yan, Guodong Wang
Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images.
no code implementations • 25 Oct 2019 • Jie He, Tao Chen, Zhijun Zhang
Single-hidden layer feed forward neural networks (SLFNs) are widely used in pattern classification problems, but a huge bottleneck encountered is the slow speed and poor performance of the traditional iterative gradient-based learning algorithms.
8 code implementations • 4 Jun 2018 • Jindong Jiang, Lunan Zheng, Fei Luo, Zhijun Zhang
Indoor semantic segmentation has always been a difficult task in computer vision.
Ranked #26 on Semantic Segmentation on SUN-RGBD (using extra training data)
no code implementations • 1 Sep 2017 • Yi Chang, Luxin Yan, Houzhang Fang, Sheng Zhong, Zhijun Zhang
To overcome these limitations, in this work, we propose a unified low-rank tensor recovery model for comprehensive HSI restoration tasks, in which non-local similarity between spectral-spatial cubic and spectral correlation are simultaneously captured by 3-order tensors.
Ranked #12 on Hyperspectral Image Denoising on ICVL-HSI-Gaussian50
no code implementations • 21 May 2017 • Jindong Jiang, Zhijun Zhang, Yongqian Huang, Lunan Zheng
To improve segmentation performance, a novel neural network architecture (termed DFCN-DCRF) is proposed, which combines an RGB-D fully convolutional neural network (DFCN) with a depth-sensitive fully-connected conditional random field (DCRF).