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TitleCited by
  • Image-to-image Translation via Hierarchical Style Disentanglement

    Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, +1 more

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2021

    Hierarchical Style Disentanglement is proposed, which organizes the labels into a hierarchical tree structure, in which independent tags, exclusive attributes, and disentangled styles are allocated from top to bottom.

    165
  • FastVGGT: Training-Free Acceleration of Visual Geometry Transformer

    You Shen, Zhipeng Zhang, Yansong Qu, Xiawu Zheng, Jiayi Ji, Shengchuan Zhang, Liujuan Cao

    arXiv · 2025

    This work proposes FastVGGT, which, for the first time, leverages token merging in the 3D domain through a training-free mechanism for accelerating VGGT, and devise a unique token partitioning strategy tailored to 3D architectures and tasks.

    108
  • You Only Segment Once: Towards Real-Time Panoptic Segmentation

    Jie Hu, Linyan Huang, Tianhe Ren, Shengchuan Zhang, Rongrong Ji, Liujuan Cao

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023

    YOSO is the first real-time panoptic segmentation framework that delivers competitive performance compared to state-of-the-art models and re-parameterizes interpolation-first modules in a convolution-first way, which significantly speeds up the pipeline without any additional costs.

    86
  • Face Sketch Synthesis via Sparse Representation-Based Greedy Search

    Shengchuan Zhang, Xinbo Gao, Nannan Wang, Jie Li, Mingjin Zhang

    IEEE Transactions on Image Processing · 2015

    84
  • Generative Adversarial Learning Towards Fast Weakly Supervised Detection

    Yunhang Shen, Rongrong Ji, Shengchuan Zhang, Wangmeng Zuo, Yan Wang

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2018

    80
  • Face Sketch Synthesis by Multidomain Adversarial Learning

    Shengchuan Zhang, Rongrong Ji, Jie Hu, Xiaoqiang Lu, Xuelong Li

    IEEE Transactions on Neural Networks and Learning Systems · 2018

    77
  • GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane

    Yansong Qu, Shaohui Dai, Xinyang Li, Jianghang Lin, Liujuan Cao, Shengchuan Zhang, Rongrong Ji

    ACM International Conference on Multimedia (ACM MM) · 2024

    GOI is introduced, a framework that integrates semantic features from 2D vision-language foundation models into 3D Gaussian Splatting (3DGS) and identifies 3D Gaussians of Interest using an Optimizable Semantic-space Hyperplane.

    74
  • Cantor: Inspiring Multimodal Chain-of-Thought of MLLM

    Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, +3 more

    ACM International Conference on Multimedia (ACM MM) · 2024

    It is argued that converging visual context acquisition and logical reasoning is pivotal for tackling visual reasoning tasks and an innovative multimodal CoT framework, termed Cantor, characterized by a perception-decision architecture is proposed, demonstrating the efficacy of the proposed framework.

    74
  • Applications and challenges of biomarker-based predictive models in proactive health management

    Qiming Zhao, Chen Zhang, Wanxin Zhang, Shengchuan Zhang, Qiyuan Liu, You Guo

    Frontiers in Public Health · 2025

    This systematic approach enhances early disease screening accuracy while supporting risk stratification and precision diagnosis, particularly for chronic conditions and oncology applications, by effectively connecting biomarker discovery with practical clinical utilization.

    55
  • Scoot: A Perceptual Metric for Facial Sketches

    Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming‐Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2019

    The results suggest that “spatial structure” and “co-occurrence texture” are two generally applicable perceptual features in face sketch synthesis, and the first largest scale human-perception-based sketch database that can evaluate how well a metric consistent with human perception is evaluated.

    52
  • Robust Face Sketch Style Synthesis

    Shengchuan Zhang, Xinbo Gao, Nannan Wang, Jie Li

    IEEE Transactions on Image Processing · 2015

    This work proposes a robust face sketch style synthesis method, which can convert photos to arbitrarily stylistic sketches based on only one corresponding template sketch, and introduces a multi-feature-based optimization model.

    52
  • Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

    Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, +1 more

    Lecture notes in computer science · 2022

    47
  • DistilPose: Tokenized Pose Regression with Heatmap Distillation

    Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, +1 more

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023

    A novel human pose estimation framework termed DistilPose, which bridges the gaps between heatmap-based and regression-based methods and maximizes the transfer of knowledge from the teacher model to the student model through Token-distilling Encoder (TDE) and Simulated Heatmaps.

    44
  • Pseudo-label Alignment for Semi-supervised Instance Segmentation

    Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2023

    In PAIS, a dynamic aligning loss (DALoss) that adjusts the weights of semi-supervised loss terms with varying class and mask score pairs is devised that adjusts the weights of semi-supervised loss terms with varying class and mask score pairs.

    40
  • InterFormer Real-time Interactive Image Segmentation

    Huang You, Hao Yang, Ke Sun, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Rongrong Ji

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2023

    The effectiveness of Inter-Former is demonstrated, which outperforms previous interactive segmentation models in terms of computational efficiency and segmentation quality, achieve real-time high-quality interactive segmentation on CPU-only devices.

    40
  • Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval

    Hong Liu, Mingbao Lin, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji

    ACM International Conference on Multimedia (ACM MM) · 2018

    This paper proposes a novel cross-modality hashing scheme, termed Dense Auto-encoder Hashing (DAH), which can explicitly impute the missed modality and produce robust binary codes by leveraging the relatedness among different modalities.

    40
  • Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid

    Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia‐Wen Lin

    International Joint Conference on Artificial Intelligence · 2018

    A novel generative adversarial network termed pGAN is proposed, which can generate face sketches efficiently using training data under fixed conditions and handle the aforementioned uncontrolled conditions.

    39
  • Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting

    Yansong Qu, Dian Chen, Xinyang Li, Xiaofan Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji

    ACM SIGGRAPH Conference Papers (SIGGRAPH) · 2025

    DYG, a 3D drag-based editing framework for 3DGS that integrates the implicit triplane representation to establish the geometric scaffold of editing results, effectively overcoming suboptimal editing outcomes caused by the sparsity of 3DGS in the desired editing regions.

    33
  • Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle

    Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, +1 more

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2023

    33
  • Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing

    Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang

    ACM International Conference on Multimedia (ACM MM) · 2019

    A novel Multi-modal Multi-layer Fusion Convolutional Neural Network (mmfCNN), which targets at finding a discriminative model for recognizing the subtle differences between live and spoof faces, and utilizes a multi-layer fusion model to further aggregate the features from different layers.

    32
  • Face Sketch Synthesis From a Single Photo–Sketch Pair

    Shengchuan Zhang, Xinbo Gao, Nannan Wang, Jie Li

    IEEE Transactions on Circuits and Systems for Video Technology · 2015

    31
  • Adaptive Selection based Referring Image Segmentation

    Pengfei Yue, Jianghang Lin, Shengchuan Zhang, Jie Hu, Yilin Lu, Hongwei Niu, Haixin Ding, Yan Zhang, +3 more

    ACM International Conference on Multimedia (ACM MM) · 2024

    An innovative framework for RIS that seeks to overcome challenges with adaptive alignment of vision and language features, termed the Adaptive Selection with Dual Alignment (ASDA), which exceeds state-of-the-art methods on RefCOCO, RefCOCO+ and G-Ref benchmark.

    25
  • ISTR: Mask-Embedding-Based Instance Segmentation Transformer

    Jie Hu, Yao Lu, Shengchuan Zhang, Liujuan Cao

    IEEE Transactions on Image Processing · 2024

    23
  • Bilateral Knowledge Interaction Network for Referring Image Segmentation

    H. J. Ding, Shengchuan Zhang, Qiong Wu, Songlin Yu, Jie Hu, Liujuan Cao, Rongrong Ji

    IEEE Transactions on Multimedia · 2023

    23
  • Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations

    Jiawen Zheng, Bo Li, Shengchuan Zhang, Shuang Wu, Liujuan Cao, Shouhong Ding

    Proceedings of the AAAI Conference on Artificial Intelligence · 2023

    A novel and flexible method to spot noisy labels by leveraging adversarial attack, termed as Geometry Aware Adversarial Vulnerability Estimation (GAAVE), which has no reliance on additional information and is thus easy to generalize to the large-scale real-world FER datasets.

    21

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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.

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