Guangrun Wang

发表

Beyond Fixation: Dynamic Window Visual Transformer

Pengzhen Ren, Changlin Li, Guangrun Wang, 2022, Computer Vision and Pattern Recognition.

DARI: Distance Metric and Representation Integration for Person Verification

Qing Wang, Liang Lin, Ya Li, 2016, AAAI.

Towards Solving Inefficiency of Self-supervised Representation Learning

Philip H. S. Torr, Liang Lin, Guangrun Wang, 2021 .

Semantic-Aware Auto-Encoders for Self-supervised Representation Learning

Philip H. S. Torr, Guangrun Wang, Liang Lin, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers

Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, 2022, ArXiv.

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs

Philip H. S. Torr, Guangrun Wang, 2022, ArXiv.

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines

Philip H. S. Torr, Xiaodan Liang, Guangrun Wang, 2022, NeurIPS.

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs

Philip H. S. Torr, Guangrun Wang, 2022, ArXiv.

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search pdf

Xiaojun Chang, Jiefeng Peng, Xiaodan Liang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep feature learning with relative distance comparison for person re-identification

Liang Lin, Hongyang Chao, Guangrun Wang, 2015, Pattern Recognit..

Adaptively Connected Neural Networks

Liang Lin, Guangrun Wang, Keze Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency

Xiaojun Chang, Pengzhen Ren, Yi Zhu, 2023, ICLR.

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions

Meng Wang, Ruimao Zhang, Liang Lin, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Structured Scene Parsing by Learning with Image Descriptions

Rui Zhang, Ruimao Zhang, Liang Lin, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks

Guanbin Li, Hongjun Wang, Liang Lin, 2019, CIKM.

Dynamic Slimmable Network

Zhihui Li, Xiaojun Chang, Xiaodan Liang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Kaicheng Yu, M. Salzmann, Guangrun Wang, 2023, ArXiv.

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

Jiang Su, Liang Lin, Guangrun Wang, 2020, ECCV.

Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

Ya Li, Hongjun Wang, Liang Lin, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Automated Progressive Learning for Efficient Training of Vision Transformers

Xiaojun Chang, Xiaodan Liang, Changlin Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation

Xiaozhe Ren, Xiaodan Liang, Hang Xu, 2021, EMNLP.

Solving Inefficiency of Self-supervised Representation Learning pdf

Liang Lin, Philip H. S. Torr, Guangrun Wang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification

Jianhuang Lai, Guangcong Wang, Guangrun Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers

Xiaojun Chang, Changlin Li, Guangrun Wang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation

Liang Lin, Xiaojun Chang, Xiaodan Liang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

Lei Zhang, Xiangchu Feng, Liang Lin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark

Jianhuang Lai, Guangcong Wang, Liang Lin, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Kalman Normalization: Normalizing Internal Representations Across Network Layers

Liang Lin, Ping Luo, Jiefeng Peng, 2018, NeurIPS.

Distance metric optimization driven convolutional neural network for age invariant face recognition

Qing Wang, Ya Li, Wenwei Tan, 2018, Pattern Recognit..

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers pdf

Zhihui Li, Xiaojun Chang, Xiaodan Liang, 2021, ArXiv.

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition

Liang Lin, Rongcong Chen, Guangrun Wang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift pdf

Xiaodan Liang, Guangrun Wang, Jiefeng Peng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Grammatically Recognizing Images with Tree Convolution

Liang Lin, Guangcong Wang, Xiaodan Liang, 2020, KDD.

Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing

Guangrun Wang, Wenqi Liang, Guangcong Wang, 2022, ArXiv.

Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer

Guangrun Wang, Guangyi Chen, Yansong Tang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts

Xiaodan Liang, Guangrun Wang, Binbin Yang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep Dual Learning for Semantic Image Segmentation

Xiaogang Wang, Liang Lin, Ping Luo, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Kaicheng Yu, M. Salzmann, Guangrun Wang, 2023, ArXiv.

Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion

Guangrun Wang, Zhibo Zhou, Changxin Huang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Object Interactions and Descriptions for Semantic Image Segmentation

Xiaogang Wang, Liang Lin, Ping Luo, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Language-free Compositional Action Generation via Decoupling Refinement

Guangrun Wang, Guangyi Chen, Yansong Tang, 2023, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches pdf

Liang Lin, Ping Luo, Jiefeng Peng, 2018, ArXiv.

Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark pdf

Jian-Huang Lai, Liang Lin, Guangcong Wang, 2019, ArXiv.

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Pengzhen Ren, Changlin Li, Guangrun Wang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark

Liang Lin, J. Lai, Zhengtao Yu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions

Guangrun Wang, Liang Lin, Liuchun Yuan, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.