1 code implementation • 23 Jan 2024 • Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang
In this paper, we introduce a novel prompt-driven adapter into SAM, namely Prompt Adapter Segment Anything Model (PA-SAM), aiming to enhance the segmentation mask quality of the original SAM.
no code implementations • 12 Dec 2023 • Sicheng Mo, Fangzhou Mu, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou
Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-image (T2I) diffusion models.
no code implementations • 10 Aug 2023 • Liang Shang, Yanli Liu, Zhengyang Lou, Shuxue Quan, Nagesh Adluru, Bochen Guan, William A. Sethares
Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks.
no code implementations • 25 May 2023 • Zhengyang Lou, Huan Xu, Fangzhou Mu, Yanli Liu, XiaoYu Zhang, Liang Shang, Jiang Li, Bochen Guan, Yin Li, Yu Hen Hu
Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.
no code implementations • 21 Oct 2021 • Yanli Liu, Bochen Guan, Qinwen Xu, Weiyi Li, Shuxue Quan
We develop a CNN pruning framework called SMOF, which Squeezes More Out of Filters by reducing both kernel size and the number of filter channels.
no code implementations • 27 May 2019 • Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu
Often, these feature maps mimic natural photographs in the sense that their energy is concentrated in the spectral domain.
1 code implementation • 11 Aug 2018 • Bochen Guan, Hanrong Ye, Hong Liu, William A. Sethares
Estimation of the frequency and duration of logos in videos is important and challenging in the advertisement industry as a way of estimating the impact of ad purchases.