Guangrun Wang

According to our database, Guangrun Wang authored at least 52 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing.

Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip H. S. Torr, Victor Adrian Prisacariu

CoRR, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

CoRR, 2024

Geometry aware 3D generation from in-the-wild images in ImageNet.

Qijia Shen, Guangrun Wang

CoRR, 2024

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning.

Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

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

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Language-free Compositional Action Generation via Decoupling Refinement.

Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim

CoRR, 2023

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

Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

CoRR, 2023

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

Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts.

Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition.

Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Guangrun Wang, Philip H. S. Torr

CoRR, 2022

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

Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang

CoRR, 2022

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

Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai

CoRR, 2022

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines.

Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Beyond Fixation: Dynamic Window Visual Transformer.

Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Automated Progressive Learning for Efficient Training of Vision Transformers.

Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

CoRR, 2021

Unifying Dynamic Optimizer Search and Network Architecture Search.

Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Solving Inefficiency of Self-supervised Representation Learning.

Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Dynamic Slimmable Network.

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

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

Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin

CoRR, 2020

Grammatically Recognizing Images with Tree Convolution.

Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions.

Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

CoRR, 2019

Learnable Parameter Similarity.

Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang

CoRR, 2019

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

Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin

CoRR, 2019

Adaptively Connected Neural Networks.

Guangrun Wang, Keze Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

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

Ya Li, Guangrun Wang, Lin Nie, Qing Wang, Wenwei Tan

Pattern Recognit., 2018

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

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

CoRR, 2018

Kalman Normalization: Normalizing Internal Representations Across Network Layers.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

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

Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Scene Parsing by Weakly Supervised Learning with Image Descriptions.

Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo

CoRR, 2017

Deep Dual Learning for Semantic Image Segmentation.

Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Object Interactions and Descriptions for Semantic Image Segmentation.

Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Structured Scene Parsing by Learning with Image Descriptions.

Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DARI: Distance Metric and Representation Integration for Person Verification.

Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

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

Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao

Pattern Recognit., 2015

A Deep Joint Learning Approach for Age Invariant Face Verification.

Ya Li, Guangrun Wang, Liang Lin, Huiyou Chang

Proceedings of the Computer Vision - CCF Chinese Conference, 2015