31 citations · 60 across the 8 of their papers we have counts for
8 papers
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong +3
Low-light images frequently occur due to unavoidable environmental influences or technical limitations, such as insufficient lighting or limited exposure time. To achieve better vi…
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…
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…
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…
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
Yanjie Wang, Xu Zou, Zhijun Zhang +5
Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images. Despite that many methods proposed recently hav…
Robust Object Tracking Based on Self-adaptive Search Area
Taihang Dong, Sheng Zhong
Discriminative correlation filter (DCF) based trackers have recently achieved excellent performance with great computational efficiency. However, DCF based trackers suffer boundary…
Discussion among Different Methods of Updating Model Filter in Object Tracking
Taihang Dong, Sheng Zhong
Discriminative correlation filters (DCF) have recently shown excellent performance in visual object tracking area. In this paper, we summarize the methods of updating model filter…
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration
Yi Chang, Luxin Yan, Houzhang Fang +2
Hyperspectral imaging, providing abundant spatial and spectral information simultaneously, has attracted a lot of interest in recent years. Unfortunately, due to the hardware limit…