activity
20182026
most citedEnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers

22 citations · 60 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

FlowPainter: Inpainting Optical Flow via Confidence-Guided Completion

Yuang Meng, Chenyang Wu, Xianshun Liu +7

Existing optical flow methods broadly follow two paradigms: iterative optimization and diffusion-based estimation. Iterative methods, exemplified by RAFT, achieve high accuracy thr…

cs.CV2022★ 2 cited

Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution

Jie Liang, Hui Zeng, Lei Zhang

Efficient and effective real-world image super-resolution (Real-ISR) is a challenging task due to the unknown complex degradation of real-world images and the limited computation r…

eess.IV2022★ 8 cited

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution

Jie Liang, Hui Zeng, Lei Zhang

Single image super-resolution (SISR) with generative adversarial networks (GAN) has recently attracted increasing attention due to its potentials to generate rich details. However,…

cs.CV2021★ 7 cited

High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

Jie Liang, Hui Zeng, Lei Zhang

Existing image-to-image translation (I2IT) methods are either constrained to low-resolution images or long inference time due to their heavy computational burden on the convolution…

cs.CV2021

PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency

Jie Liang, Hui Zeng, Miaomiao Cui +2

Different from general photo retouching tasks, portrait photo retouching (PPR), which aims to enhance the visual quality of a collection of flat-looking portrait photos, has its sp…

eess.IV2020★ 21 cited

Generalized Octave Convolutions for Learned Multi-Frequency Image Compression

Mohammad Akbari, Jie Liang, Jingning Han +1

Learned image compression has recently shown the potential to outperform the standard codecs. State-of-the-art rate-distortion (R-D) performance has been achieved by context-adapti…

cs.SE2018★ 22 cited

EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers

Yuanliang Chen, Yu Jiang, Fuchen Ma +5

Fuzzing is widely used for software vulnerability detection. There are various kinds of fuzzers with different fuzzing strategies, and most of them perform well on their targets. H…