1 code implementation • 11 Dec 2023 • Qiuhai Yan, Aiwen Jiang, Kang Chen, Long Peng, Qiaosi Yi, Chunjie Zhang
In this paper, an effective textual prompt guided image restoration model has been proposed.
1 code implementation • 14 Aug 2023 • Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao
Regarding the growing nature of real-world data, such an offline training paradigm on ever-expanding data is unsustainable, because models lack the continual learning ability to accumulate knowledge constantly.
1 code implementation • 27 Jun 2023 • Anqi Li, Feng Li, Jiaxin Han, Huihui Bai, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, Yao Zhao
Extensive experiments have demonstrated that our approach outperforms recent state-of-the-art methods in R-D performance, visual quality, and downstream applications, at very low bitrates.
1 code implementation • CVPR 2023 • Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao
Generalized Zero-Shot Learning (GZSL) identifies unseen categories by knowledge transferred from the seen domain, relying on the intrinsic interactions between visual and semantic information.
no code implementations • 30 Jan 2023 • Panyu Zhai, Yanwu Yang, Chunjie Zhang
This paper is dedicated to developing a causality-based CTR prediction model in the GNNs framework (Causal-GNN) integrating representations of feature graph, user graph and ad graph in the context of online advertising.
1 code implementation • journal 2023 • Yepeng Tang, Weining Wang, Yanwu Yang, Chunjie Zhang, Jing Liu
The TCM aggregates the temporal context information and provides features for the IBM and the FPBM.
1 code implementation • ICCV 2023 • Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao
Regarding the growing nature of real-world data, such an offline training paradigm on ever-expanding data is unsustainable, because models lack the continual learning ability to accumulate knowledge constantly.
2 code implementations • CVPR 2023 • Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao
For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.
1 code implementation • journal 2023 • Changkai Xu, Chunjie Zhang, Yanwu Yang, Huaizhi Yang, Yijun Bo, Danyong Li, Riquan Zhang
In this work, we propose an efficient adversarial training method with loss guided propagation (ATLGP) to accelerate the adversarial training process.
1 code implementation • The 33rd British Machine Vision Conference 2022 • Ji Huang, Chao Liang, Yue Zhang, Zhongyuan Wang, Chunjie Zhang
Existing RA work can be generally divided into unsupervised methods and fully-supervised methods.
1 code implementation • CVPR 2021 • Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks.
1 code implementation • CVPR 2021 • Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao
We embed a correction layer in skip-connection and leverage the appearance flows in different layers to pre-correct the image features.
no code implementations • 2 Oct 2020 • Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, Yao Zhao
In this paper, we propose a novel Parallel Down-up Fusion network (PDF-Net) for SOD in optical RSIs, which takes full advantage of the in-path low- and high-level features and cross-path multi-resolution features to distinguish diversely scaled salient objects and suppress the cluttered backgrounds.
1 code implementation • CVPR 2018 • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng
In this paper, we propose a simple yet effective Two-Step Quantization (TSQ) framework, by decomposing the network quantization problem into two steps: code learning and transformation function learning based on the learned codes.
no code implementations • 24 Apr 2017 • Congqi Cao, Yifan Zhang, Chunjie Zhang, Hanqing Lu
To make it end-to-end and do not rely on any sophisticated body joint detection algorithm, we further propose a two-stream bilinear model which can learn the guidance from the body joints and capture the spatio-temporal features simultaneously.