no code implementations • 4 Feb 2025 • Bangzhen Liu, Chenxi Zheng, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Shengfeng He
Motivated by the inherent advantages of intricate orientations in enhancing generalizability, we propose an innovative rotation-adaptive domain generalization framework for 3D point cloud analysis.
no code implementations • 9 Sep 2024 • Junzhou Chen, Zirui Zhang, Jing Yu, Heqiang Huang, Ronghui Zhang, Xuemiao Xu, Bin Sheng, Hong Yan
Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally.
1 code implementation • 18 Aug 2024 • Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He
This paper introduces G\textsuperscript{2}Face, which leverages both generative and geometric priors to enhance identity manipulation, achieving high-quality reversible face anonymization without compromising data utility.
1 code implementation • 18 Aug 2024 • Xinjie Jiang, Chenxi Zheng, Xuemiao Xu, Bangzhen Liu, Weiying Zheng, Huaidong Zhang, Shengfeng He
Video Visual Relation Detection (VidVRD) focuses on understanding how entities interact over time and space in videos, a key step for gaining deeper insights into video scenes beyond basic visual tasks.
1 code implementation • 25 Jan 2024 • Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu, Xuemiao Xu
In this way, we obtain a meta-model, the meta-parameter of which is friendly to the test-time optimization.
1 code implementation • CVPR 2024 • Yuyang Yu, Bangzhen Liu, Chenxi Zheng, Xuemiao Xu, Huaidong Zhang, Shengfeng He
In this paper we delve into a novel aspect of learning novel diffusion conditions with datasets an order of magnitude smaller.
1 code implementation • CVPR 2024 • Yi Xie, Yihong Lin, Wenjie Cai, Xuemiao Xu, Huaidong Zhang, Yong Du, Shengfeng He
Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint between the query network and the larger gallery network.
1 code implementation • 7 Sep 2023 • Jiatai Lin, Guoqiang Han, Xuemiao Xu, Changhong Liang, Tien-Tsin Wong, C. L. Philip Chen, Zaiyi Liu, Chu Han
Class activation mapping~(CAM), a visualization technique for interpreting deep learning models, is now commonly used for weakly supervised semantic segmentation~(WSSS) and object localization~(WSOL).
Object Localization
Weakly supervised Semantic Segmentation
+1
no code implementations • CVPR 2023 • Yi Xie, Huaidong Zhang, Xuemiao Xu, Jianqing Zhu, Shengfeng He
Specifically, the employed student model is initially a heavy model to fruitfully learn distilled knowledge in the early training epochs, and the student model is gradually compressed during the training.
1 code implementation • ICCV 2023 • Weiying Zheng, Cheng Xu, Xuemiao Xu, Wenxi Liu, Shengfeng He
Video inpainting aims at filling in missing regions of a video.
1 code implementation • CVPR 2023 • Chenxi Zheng, Bangzhen Liu, Huaidong Zhang, Xuemiao Xu, Shengfeng He
The rationale behind is that we aim to locate a centroid latent position in a conditional StyleGAN, where the corresponding output image on that centroid can maximize the similarity with the given samples.
no code implementations • CVPR 2022 • Jingjing Ren, Qingqing Zheng, YuanYuan Zhao, Xuemiao Xu, Chen Li
Video inpainting remains a challenging problem to fill with plausible and coherent content in unknown areas in video frames despite the prevalence of data-driven methods.
2 code implementations • ICCV 2021 • Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He
This inborn property is used for two unique purposes: 1) regularizing the joint inversion process, such that each of the inverted code is semantically accessible from one of the other and fastened in a editable domain; 2) enforcing inter-image coherence, such that the fidelity of each inverted code can be maximized with the complement of other images.
no code implementations • 5 Feb 2021 • Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng
Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings.
1 code implementation • CVPR 2020 • Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He
It avoids the heavy computation of exhaustively searching all the cycle lengths in the video, and, instead, it propagates the coarse prediction for further refinement in a hierarchical manner.
1 code implementation • ECCV 2018 • Lei Zhu, Zijun Deng, Xiao-Wei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng
Second, we develop a bidirectional feature pyramid network (BFPN) to aggregate shadow contexts spanned across different CNN layers by deploying two series of RAR modules in the network to iteratively combine and refine context features: one series to refine context features from deep to shallow layers, and another series from shallow to deep layers.
Ranked #6 on
Shadow Detection
on SBU / SBU-Refine
no code implementations • 2 Apr 2018 • Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng
Based on these findings, we present a scale-insensitive convolutional neural network (SINet) for fast detecting vehicles with a large variance of scales.