activity
20172022
most citedDeep Hyperspherical Learning

56 citations · 87 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Zeju Qiu, Weiyang Liu, Haiwen Feng +6

Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models t…

cs.CV20221 cited

Ghost-free High Dynamic Range Imaging with Context-aware Transformer

Zhen Liu, Yinglong Wang, Bing Zeng +1

High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images with realistic details. Restricted by the locality of the receptive field, existing CNN-based m…

cs.CV20217 cited

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

Zhen Liu, Wenjie Lin, Xinpeng Li +6

In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet. This problem comprises two…

cs.CV201910 cited

Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search

Jing Ge, Guangyu Gao, Zhen Liu

Searching persons in large-scale image databases with the query of natural language description is a more practical important applications in video surveillance. Intuitively, for p…

cs.CV2019

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Rongmei Lin, Weiyang Liu, Zhen Liu +5

Inspired by the Thomson problem in physics where the distribution of multiple propelling electrons on a unit sphere can be modeled via minimizing some potential energy, hyperspheri…