activity
20162022
most citedUnderstanding Why Neural Networks Generalize Well Through GSNR of Parameters

10 citations · 19 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2022★ 1 cited

Movie Genre Classification by Language Augmentation and Shot Sampling

Zhongping Zhang, Yiwen Gu, Bryan A. Plummer +3

Video-based movie genre classification has garnered considerable attention due to its various applications in recommendation systems. Prior work has typically addressed this task b…

cs.CV2022

Complex Scene Image Editing by Scene Graph Comprehension

Zhongping Zhang, Huiwen He, Bryan A. Plummer +2

Conditional diffusion models have demonstrated impressive performance on various tasks like text-guided semantic image editing. Prior work requires image regions to be identified m…

cs.CV2022

ImageSubject: A Large-scale Dataset for Subject Detection

Xin Miao, Jiayi Liu, Huayan Wang +1

Main subjects usually exist in the images or videos, as they are the objects that the photographer wants to highlight. Human viewers can easily identify them but algorithms often c…

cs.CV2021

Fine-Grained Control of Artistic Styles in Image Generation

Xin Miao, Huayan Wang, Jun Fu +3

Recent advances in generative models and adversarial training have enabled artificially generating artworks in various artistic styles. It is highly desirable to gain more control…

cs.LG2021★ 1 cited

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction

Jiachen Li, Shuo Cheng, Zhenyu Liao +3

Improving the sample efficiency of reinforcement learning algorithms requires effective exploration. Following the principle of (OFU)…

cs.CV2021

Transforming the Latent Space of StyleGAN for Real Face Editing

Heyi Li, Jinlong Liu, Xinyu Zhang +3

Despite recent advances in semantic manipulation using StyleGAN, semantic editing of real faces remains challenging. The gap between the space and the + space demands an und…