no code implementations • 9 Apr 2018 • Jiaxuan Zhuo, Zeyu Chen, Jian-Huang Lai, Guangcong Wang
Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places.
no code implementations • 9 Nov 2018 • Wenqi Liang, Guangcong Wang, Jian-Huang Lai, Junyong Zhu
Cross-domain transfer learning (CDTL) is an extremely challenging task for the person re-identification (ReID).
no code implementations • ICCV 2017 • Guangcong Wang, Xiaohua Xie, Jian-Huang Lai, Jiaxuan Zhuo
A bottleneck of SSL is the overfitting problem when training over the limited labeled data, especially on a complex model like a deep neural network.
no code implementations • 27 Jul 2019 • Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
Most of the existing approaches focus on specific visual tasks while ignoring the relations between them.
no code implementations • CVPR 2020 • Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
To stabilize a memory trace of cross-domain knowledge transfer after its initial acquisition from the source domain, we propose a p-Memory Reconsolidation (pMR) method that reconsolidates the source knowledge with a small probability p during the self-training of the target domain.
no code implementations • 1 Jan 2021 • Guangcong Wang, JianHuang Lai, Wenqi Liang, Guangrun Wang
Specifically, we select the longest chain from the source model and transfer it to the longest chain of the target model.
no code implementations • 31 Mar 2021 • Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
In this work, we prove that dynamically adapting network architectures tailored for each domain task along with weight finetuning benefits in both efficiency and effectiveness, compared to the existing image recognition pipeline that only tunes the weights regardless of the architecture.
no code implementations • 14 May 2021 • Peijia Chen, JianHuang Lai, Guangcong Wang, Huajun Zhou
Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences.
no code implementations • 25 Sep 2019 • Guangcong Wang, JianHuang Lai, Guangrun Wang, Wenqi Liang
We present a Function Feature Learning (FFL) method that can measure the similarity of non-convex neural networks.
no code implementations • 8 Aug 2022 • Guangcong Wang, Guangrun Wang, Wenqi Liang, JianHuang Lai
We extend the traditional hypothesis-testing method to a hypothesis-training-testing statistical inference method to validate the hypothesis on the weight similarity of neural networks.
no code implementations • ICCV 2023 • Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu
Since coarse depth maps are not strictly scaled to the ground-truth depth maps, we propose a simple yet effective constraint, a local depth ranking method, on NeRFs such that the expected depth ranking of the NeRF is consistent with that of the coarse depth maps in local patches.
1 code implementation • 29 Jan 2019 • Guangcong Wang, Jian-Huang Lai, Zhenyu Xie, Xiaohua Xie
With the discovered underlying person structure, the RLD method builds a bridge between the global and local feature representation and thus improves the capacity of feature representation for person re-ID.
1 code implementation • ICCV 2021 • Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
In this paper, we reveal two contradictory phenomena in contrastive learning that we call under-clustering and over-clustering problems, which are major obstacles to learning efficiency.
Ranked #1 on Self-Supervised Person Re-Identification on SYSU-30k
1 code implementation • NeurIPS 2023 • Zhaoxi Chen, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang, Ziwei Liu
We present PrimDiffusion, the first diffusion-based framework for 3D human generation.
1 code implementation • 29 Jul 2022 • Guangcong Wang, Yinuo Yang, Chen Change Loy, Ziwei Liu
To tackle this problem, we propose a coupled dual-StyleGAN panorama synthesis network (StyleLight) that integrates LDR and HDR panorama synthesis into a unified framework.
1 code implementation • 11 Jul 2022 • Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu
In this paper, we present a spatial-temporal compression framework, \textbf{Fast-Vid2Vid}, which focuses on data aspects of generative models.
1 code implementation • 8 Apr 2019 • Guangrun Wang, Guangcong Wang, Xujie Zhang, Jian-Huang Lai, Zhengtao Yu, Liang Lin
Learning a Re-ID model with bag-level annotation is called the weakly supervised Re-ID problem.
Ranked #2 on Person Re-Identification on SYSU-30k
1 code implementation • 25 Oct 2023 • Guangcong Wang, Peng Wang, Zhaoxi Chen, Wenping Wang, Chen Change Loy, Ziwei Liu
In this paper, we present PERF, a 360-degree novel view synthesis framework that trains a panoramic neural radiance field from a single panorama.
3 code implementations • 8 Dec 2018 • Guangcong Wang, Jian-Huang Lai, Peigen Huang, Xiaohua Xie
In this paper, we propose a novel two-stream spatial-temporal person ReID (st-ReID) framework that mines both visual semantic information and spatial-temporal information.
Ranked #4 on Person Re-Identification on Market-1501
1 code implementation • 20 Sep 2022 • Zhaoxi Chen, Guangcong Wang, Ziwei Liu
To achieve super-resolution inverse tone mapping, we derive a continuous representation of 360-degree imaging from the LDR panorama as a set of structured latent codes anchored to the sphere.
1 code implementation • 2 Feb 2023 • Zhaoxi Chen, Guangcong Wang, Ziwei Liu
Our approach begins with an efficient bird's-eye-view (BEV) representation generated from simplex noise, which includes a height field for surface elevation and a semantic field for detailed scene semantics.
Ranked #3 on Scene Generation on GoogleEarth