activity
20182023
most citedEfficientFormer: Vision Transformers at MobileNet Speed

257 citations · 438 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 21 cited

Rethinking Vision Transformers for MobileNet Size and Speed

Yanyu Li, Ju Hu, Yang Wen +5

With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to optimize the performance and complexity of ViTs to enable efficient deployment on mobile…

cs.CV2022

Real-Time Neural Light Field on Mobile Devices

Junli Cao, Huan Wang, Pavlo Chemerys +6

Recent efforts in Neural Rendering Fields (NeRF) have shown impressive results on novel view synthesis by utilizing implicit neural representation to represent 3D scenes. Due to th…

cs.CV2022★ 6 cited

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

Zhixing Zhang, Ligong Han, Arnab Ghosh +2

Recent works on diffusion models have demonstrated a strong capability for conditioning image generation, e.g., text-guided image synthesis. Such success inspires many efforts tryi…

cs.CV2022★ 1 cited

Make-A-Story: Visual Memory Conditioned Consistent Story Generation

Tanzila Rahman, Hsin-Ying Lee, Jian Ren +3

There has been a recent explosion of impressive generative models that can produce high quality images (or videos) conditioned on text descriptions. However, all such approaches re…

cs.LG2022★ 4 cited

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training

Geng Yuan, Yanyu Li, Sheng Li +5

Recently, sparse training has emerged as a promising paradigm for efficient deep learning on edge devices. The current research mainly devotes efforts to reducing training costs by…

cs.CV2022★ 10 cited

Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation

Ye Zhu, Yu Wu, Kyle Olszewski +3

Diffusion probabilistic models (DPMs) have become a popular approach to conditional generation, due to their promising results and support for cross-modal synthesis. A key desidera…

cs.CV2022★ 257 cited

EfficientFormer: Vision Transformers at MobileNet Speed

Yanyu Li, Geng Yuan, Yang Wen +5

Vision Transformers (ViT) have shown rapid progress in computer vision tasks, achieving promising results on various benchmarks. However, due to the massive number of parameters an…