Search Results for author: Xuemiao Xu

Found 17 papers, 11 papers with code

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

no code implementations4 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.

Contrastive Learning Domain Generalization

G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors

1 code implementation18 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.

Decoder Face Anonymization +1

VrdONE: One-stage Video Visual Relation Detection

1 code implementation18 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.

Predicate Detection Relation +1

Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples

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.

Few-Shot Learning

D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval

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.

Image Retrieval Retrieval

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

1 code implementation7 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

Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval

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.

Image Retrieval Knowledge Distillation +1

Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization

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.

Image Generation

DLFormer: Discrete Latent Transformer for Video Inpainting

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.

Video Inpainting

From Continuity to Editability: Inverting GANs with Consecutive Images

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.

Deep Texture-Aware Features for Camouflaged Object Detection

no code implementations5 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.

Object object-detection +1

Context-aware and Scale-insensitive Temporal Repetition Counting

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.

regression

Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection

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.

Shadow Detection

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

no code implementations2 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.

Fast Vehicle Detection object-detection +1

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