activity
20192023
most citedUnsupervised Low-Light Image Enhancement via Histogram Equalization Prior

25 citations · 61 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 1 cited

CCM: Adding Conditional Controls to Text-to-Image Consistency Models

Jie Xiao, Kai Zhu, Han Zhang +5

Consistency Models (CMs) have showed a promise in creating visual content efficiently and with high quality. However, the way to add new conditional controls to the pretrained CMs…

cs.CV2023

Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation

Wei Zhai, Pingyu Wu, Kai Zhu +3

Weakly supervised object localization and semantic segmentation aim to localize objects using only image-level labels. Recently, a new paradigm has emerged by generating a foregrou…

cs.CV2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models

Kecheng Zheng, Wei Wu, Ruili Feng +6

Prompt tuning and adapter tuning have shown great potential in transferring pre-trained vision-language models (VLMs) to various downstream tasks. In this work, we design a new typ…

cs.CV2023★ 8 cited

Cones 2: Customizable Image Synthesis with Multiple Subjects

Zhiheng Liu, Yifei Zhang, Yujun Shen +7

Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, exist…

cs.CV2023

Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection

Fan Lu, Kai Zhu, Wei Zhai +2

Semantically coherent out-of-distribution (SCOOD) detection aims to discern outliers from the intended data distribution with access to unlabeled extra set. The coexistence of in-d…

cs.CV2023★ 19 cited

Cones: Concept Neurons in Diffusion Models for Customized Generation

Zhiheng Liu, Ruili Feng, Kai Zhu +6

Human brains respond to semantic features of presented stimuli with different neurons. It is then curious whether modern deep neural networks admit a similar behavior pattern. Spec…