Guangrun Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Relative Distance

Weakly Supervised

Image Description

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. AAAI (2024)
Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR (2024)
Qijia Shen, Guangrun Wang
Geometry aware 3D generation from in-the-wild images in ImageNet. CoRR (2024)
Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. CoRR (2024)
Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip H. S. Torr, Victor Adrian Prisacariu
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR (2024)
Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. CoRR (2024)
Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR (2024)
Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR (2024)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP (2024)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
Language-free Compositional Action Generation via Decoupling Refinement. CoRR (2023)
Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. ICCV (2023)
Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. CoRR (2023)
Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. CoRR (2023)
Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR (2023)
Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV (2023)
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR (2023)
Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR (2023)
Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. ICCV (2023)
Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR (2023)
Guangrun Wang, Philip H. S. Torr
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs. CoRR (2022)
Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr
Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. CVPR (2022)
Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR (2022)
Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR (2022)
Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
Beyond Fixation: Dynamic Window Visual Transformer. CVPR (2022)
Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
Beyond Fixation: Dynamic Window Visual Transformer. CoRR (2022)
Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. CoRR (2022)
Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR (2022)
Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR (2022)
Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. NeurIPS (2022)
Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
Solving Inefficiency of Self-supervised Representation Learning. CoRR (2021)
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV (2021)
Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR (2021)
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
Dynamic Slimmable Network. CoRR (2021)
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR (2021)
Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
Dynamic Slimmable Network. CVPR (2021)
Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) (2021)
Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
Solving Inefficiency of Self-supervised Representation Learning. ICCV (2021)
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR (2021)
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR (2021)
Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. CoRR (2021)
Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME (2021)
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV (2021)
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. ECCV (2) (2020)
Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CVPR (2020)
Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR (2020)
Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin
Grammatically Recognizing Images with Tree Convolution. KDD (2020)
Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. CVPR (2020)
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR (2020)
Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CoRR (2020)
Guangrun Wang, Keze Wang, Liang Lin
Adaptively Connected Neural Networks. CoRR (2019)
Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. CIKM (2019)
Guangrun Wang, Keze Wang, Liang Lin
Adaptively Connected Neural Networks. CVPR (2019)
Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. CoRR (2019)
Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang
Learnable Parameter Similarity. CoRR (2019)
Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR (2019)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS (2018)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR (2018)
Ya Li, Guangrun Wang, Lin Nie, Qing Wang, Wenwei Tan
Distance metric optimization driven convolutional neural network for age invariant face recognition. Pattern Recognit. 75 (2018)
Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo
Scene Parsing by Weakly Supervised Learning with Image Descriptions. CoRR (2017)
Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang
Learning Object Interactions and Descriptions for Semantic Image Segmentation. CVPR (2017)
Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang
Deep Dual Learning for Semantic Image Segmentation. ICCV (2017)
Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39 (6) (2017)
Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo
Deep Structured Scene Parsing by Learning with Image Descriptions. CVPR (2016)
Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang
DARI: Distance Metric and Representation Integration for Person Verification. AAAI (2016)
Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo
Deep Structured Scene Parsing by Learning with Image Descriptions. CoRR (2016)
Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang
DARI: Distance metric And Representation Integration for Person Verification. CoRR (2016)
Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. CoRR (2016)
Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao
Deep Feature Learning with Relative Distance Comparison for Person Re-identification. CoRR (2015)
Ya Li, Guangrun Wang, Liang Lin, Huiyou Chang
A Deep Joint Learning Approach for Age Invariant Face Verification. CCCV (1) (2015)
Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao
Deep feature learning with relative distance comparison for person re-identification. Pattern Recognit. 48 (10) (2015)