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20162022
most citedEagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

13 citations · 45 across the 14 of their papers we have counts for

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22 papers · 1 filter

cs.CV2024

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

Guangrun Wang, Changlin Li, Liuchun Yuan +5

Neural Architecture Search (NAS), aiming at automatically designing neural architectures by machines, has been considered a key step toward automatic machine learning. One notable…

cs.CV20241 cited

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

Linsheng Chen, Guangrun Wang, Liuchun Yuan +3

Neural Radiance Fields (NeRF) have garnered remarkable success in novel view synthesis. Nonetheless, the task of generating high-quality images for novel views persists as a critic…

cs.CV2024

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

Tao Tang, Guangrun Wang, Yixing Lao +5

Neural implicit fields have been a de facto standard in novel view synthesis. Recently, there exist some methods exploring fusing multiple modalities within a single field, aiming…

cs.CV20223 cited

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

Guangrun Wang, Philip H. S. Torr

Classifiers and generators have long been separated. We break down this separation and showcase that conventional neural network classifiers can generate high-quality images of a l…

cs.CV20224 cited

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines

Xipeng Chen, Guangrun Wang, Dizhong Zhu +3

3D Garment modeling is a critical and challenging topic in the area of computer vision and graphics, with increasing attention focused on garment representation learning, garment r…

cs.CV20221 cited

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

Tao Tang, Changlin Li, Guangrun Wang +3

Automatic data augmentation (AutoAugment) strategies are indispensable in supervised data-efficient training protocols of vision transformers, and have led to state-of-the-art resu…