activity
20152024
most citedBlockwisely Supervised Neural Architecture Search with Knowledge Distillation

26 citations · 155 across the 33 of their papers we have counts for

collaborators

33 papers

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.CV2024★ 1 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.CV2023★ 3 cited

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

Guangyi Chen, Xiao Liu, Guangrun Wang +4

Video-language pre-trained models have shown remarkable success in guiding video question-answering (VideoQA) tasks. However, due to the length of video sequences, training large-s…

cs.CV2023

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts

Binbin Yang, Yi Luo, Ziliang Chen +3

Thanks to the rapid development of diffusion models, unprecedented progress has been witnessed in image synthesis. Prior works mostly rely on pre-trained linguistic models, but a t…

cs.CV2023

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

Kaixin Cai, Pengzhen Ren, Yi Zhu +5

Recently, semantic segmentation models trained with image-level text supervision have shown promising results in challenging open-world scenarios. However, these models still face…