activity
20182021
most citedLearning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

92 citations · 135 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2021

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Yinan He, Bei Gan, Siyu Chen +6

The rapid progress of photorealistic synthesis techniques has reached at a critical point where the boundary between real and manipulated images starts to blur. Thus, benchmarking…

cs.CV202024 cited

CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

Yuanhan Zhang, Zhenfei Yin, Yidong Li +4

As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, fa…

cs.CV2020

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Yuyang Qian, Guojun Yin, Lu Sheng +2

As realistic facial manipulation technologies have achieved remarkable progress, social concerns about potential malicious abuse of these technologies bring out an emerging researc…

cs.CV201992 cited

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

Xihui Liu, Guojun Yin, Jing Shao +2

Semantic image synthesis aims at generating photorealistic images from semantic layouts. Previous approaches with conditional generative adversarial networks (GAN) show state-of-th…

cs.CV201912 cited

Semantics Disentangling for Text-to-Image Generation

Guojun Yin, Bin Liu, Lu Sheng +3

Synthesizing photo-realistic images from text descriptions is a challenging problem. Previous studies have shown remarkable progresses on visual quality of the generated images. In…

cs.CV20196 cited

Context and Attribute Grounded Dense Captioning

Guojun Yin, Lu Sheng, Bin Liu +3

Dense captioning aims at simultaneously localizing semantic regions and describing these regions-of-interest (ROIs) with short phrases or sentences in natural language. Previous st…