activity
20212024
most citedHigh-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation

17 citations · 32 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes

Yiyuan Liang, Zhiying Yan, Liqun Chen +4

Vision-centric autonomous driving systems require diverse data for robust training and evaluation, which can be augmented by manipulating object positions and appearances within ex…

eess.IV20245 cited

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem

Qiwen Zhu, Yanjie Wang, Shilv Cai +5

Training Single-Image Super-Resolution (SISR) models using pixel-based regression losses can achieve high distortion metrics scores (e.g., PSNR and SSIM), but often results in blur…

eess.IV202217 cited

High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation

Shilv Cai, Zhijun Zhang, Liqun Chen +3

Learning-based methods have effectively promoted the community of image compression. Meanwhile, variational autoencoder (VAE) based variable-rate approaches have recently gained mu…

cs.CV20223 cited

Category-Aware Transformer Network for Better Human-Object Interaction Detection

Leizhen Dong, Zhimin Li, Kunlun Xu +4

Human-Object Interactions (HOI) detection, which aims to localize a human and a relevant object while recognizing their interaction, is crucial for understanding a still image. Rec…

cs.CV20227 cited

Effective Actor-centric Human-object Interaction Detection

Kunlun Xu, Zhimin Li, Zhijun Zhang +5

While Human-Object Interaction(HOI) Detection has achieved tremendous advances in recent, it still remains challenging due to complex interactions with multiple humans and objects…

cs.CV2021

Morphable Detector for Object Detection on Demand

Xiangyun Zhao, Xu Zou, Ying Wu

Many emerging applications of intelligent robots need to explore and understand new environments, where it is desirable to detect objects of novel classes on the fly with minimum o…