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Guangrun Wang
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2020 – today
- 2024
- [j9]Guangrun Wang
, Changlin Li
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [c33]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: 1156-1164 - [c32]Tang Tao, 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. CVPR 2024: 21230-21240 - [c31]Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang:
Making Large Language Models Better Planners with Reasoning-Decision Alignment. ECCV (36) 2024: 73-90 - [c30]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. ECCV (17) 2024: 123-139 - [c29]Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim:
Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP 2024: 2910-2914 - [c28]Tang Tao
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. ACM Multimedia 2024: 390-398 - [i39]Qijia Shen, Guangrun Wang:
Geometry aware 3D generation from in-the-wild images in ImageNet. CoRR abs/2402.00225 (2024) - [i38]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 abs/2402.17483 (2024) - [i37]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 abs/2403.01325 (2024) - [i36]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 abs/2403.01326 (2024) - [i35]Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu:
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR abs/2403.08733 (2024) - [i34]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 abs/2404.04946 (2024) - [i33]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 abs/2407.10625 (2024) - [i32]Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang:
Making Large Language Models Better Planners with Reasoning-Decision Alignment. CoRR abs/2408.13890 (2024) - 2023
- [j8]Changlin Li
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023) - [j7]Changxin Huang
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7686-7695 (2023) - [c27]Kaixin Cai, Pengzhen Ren
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. ICCV 2023: 1196-1205 - [c26]Guangyi Chen
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. ICCV 2023: 13899-13909 - [c25]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV 2023: 22612-22622 - [c24]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 - [i31]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 abs/2302.10307 (2023) - [i30]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 abs/2304.10406 (2023) - [i29]Xiao Liu, Guangyi Chen
Language-free Compositional Action Generation via Decoupling Refinement. CoRR abs/2307.03538 (2023) - [i28]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 abs/2308.04829 (2023) - [i27]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR abs/2308.06713 (2023) - [i26]Guangyi Chen
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR abs/2308.08414 (2023) - 2022
- [j6]Guangrun Wang
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5401-5415 (2022) - [c23]Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr:
Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. CVPR 2022: 9654-9665 - [c22]Pengzhen Ren
Beyond Fixation: Dynamic Window Visual Transformer. CVPR 2022: 11977-11987 - [c21]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR 2022: 12476-12486 - [c20]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 - [i25]Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang:
Beyond Fixation: Dynamic Window Visual Transformer. CoRR abs/2203.12856 (2022) - [i24]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR abs/2203.14509 (2022) - [i23]Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai:
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. CoRR abs/2208.04369 (2022) - [i22]Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang:
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR abs/2210.08458 (2022) - [i21]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR abs/2211.06701 (2022) - [i20]Guangrun Wang, Philip H. S. Torr:
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs. CoRR abs/2211.14794 (2022) - 2021
- [j5]Guangrun Wang
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2142-2156 (2021) - [c19]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c18]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: 1424-1437 - [c17]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021: 9485-9495 - [c16]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: 12261-12271 - [c15]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: 12334-12344 - [c14]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [i19]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 abs/2103.12424 (2021) - [i18]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i17]Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. CoRR abs/2103.16889 (2021) - [i16]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. CoRR abs/2104.08760 (2021) - [i15]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 abs/2108.09671 (2021) - [i14]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR abs/2109.07222 (2021) - [i13]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 abs/2109.10060 (2021) - 2020
- [c13]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: 339-348 - [c12]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: 1986-1995 - [c11]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: 10565-10574 - [c10]Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang:
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. ECCV (2) 2020: 639-654 - [c9]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [i12]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 abs/2004.04199 (2020) - [i11]Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin:
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR abs/2007.02491 (2020)
2010 – 2019
- 2019
- [j4]Ruimao Zhang
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 596-610 (2019) - [c8]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: 1141-1149 - [c7]Guangrun Wang, Keze Wang
Adaptively Connected Neural Networks. CVPR 2019: 1781-1790 - [i10]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CoRR abs/1904.03579 (2019) - [i9]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin:
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. CoRR abs/1904.03845 (2019) - [i8]Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang:
Learnable Parameter Similarity. CoRR abs/1907.11943 (2019) - [i7]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - 2018
- [j3]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: 51-62 (2018) - [c6]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS 2018: 21-31 - [i6]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR abs/1802.03133 (2018) - 2017
- [j2]Liang Lin
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1089-1102 (2017) - [c5]Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang
Learning Object Interactions and Descriptions for Semantic Image Segmentation. CVPR 2017: 5235-5243 - [c4]Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang
Deep Dual Learning for Semantic Image Segmentation. ICCV 2017: 2737-2745 - [i5]Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo:
Scene Parsing by Weakly Supervised Learning with Image Descriptions. CoRR abs/1709.09490 (2017) - 2016
- [c3]Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang:
DARI: Distance Metric and Representation Integration for Person Verification. AAAI 2016: 3611-3617 - [c2]Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang
Deep Structured Scene Parsing by Learning with Image Descriptions. CVPR 2016: 2276-2284 - [i4]Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo:
Deep Structured Scene Parsing by Learning with Image Descriptions. CoRR abs/1604.02271 (2016) - [i3]Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang:
DARI: Distance metric And Representation Integration for Person Verification. CoRR abs/1604.04377 (2016) - [i2]Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. CoRR abs/1605.04039 (2016) - 2015
- [j1]Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao:
Deep feature learning with relative distance comparison for person re-identification. Pattern Recognit. 48(10): 2993-3003 (2015) - [c1]Ya Li, Guangrun Wang, Liang Lin, Huiyou Chang:
A Deep Joint Learning Approach for Age Invariant Face Verification. CCCV (1) 2015: 296-305 - [i1]Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao:
Deep Feature Learning with Relative Distance Comparison for Person Re-identification. CoRR abs/1512.03622 (2015)
Coauthor Index
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last updated on 2024-12-16 22:26 CET by the dblp team
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