166 citations · 631 across the 64 of their papers we have counts for
10 papers · 1 filter
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression
Yang Sui, Ding Ding, Xiang Pan +4
In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations. To reduce the decoding time result…
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation
Jiayi Xie, Shang Liu, Gao Cong +1
In this work, we propose a Unified framework of Sequential Search and Recommendation (UnifiedSSR) for joint learning of user behavior history in both search and recommendation scen…
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling
Wanjie Sun, Zhenzhong Chen
Learning based single image super-resolution (SISR) for real-world images has been an active research topic yet a challenging task, due to the lack of paired low-resolution (LR) an…
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression
Huairui Wang, Nianxiang Fu, Zhenzhong Chen +1
Learned image compression methods have shown superior rate-distortion performance and remarkable potential compared to traditional compression methods. Most existing learned approa…
Improving Generalization of Image Captioning with Unsupervised Prompt Learning
Hongchen Wei, Zhenzhong Chen
Pretrained visual-language models have demonstrated impressive zero-shot abilities in image captioning, when accompanied by hand-crafted prompts. Meanwhile, hand-crafted prompts ut…
JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer
Mingyu Ouyang, Zhenzhong Chen
JPEG compression adopts the quantization of Discrete Cosine Transform (DCT) coefficients for effective bit-rate reduction, whilst the quantization could lead to a significant loss…
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Yang Sui, Zhuohang Li, Ding Ding +4
Learned Image Compression (LIC) has recently become the trending technique for image transmission due to its notable performance. Despite its popularity, the robustness of LIC with…
Learning a Single Convolutional Layer Model for Low Light Image Enhancement
Yuantong Zhang, Baoxin Teng, Daiqin Yang +4
Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure. Recently, various lightweight learning-based LLIE methods have been…
LaMD: Latent Motion Diffusion for Image-Conditional Video Generation
Yaosi Hu, Zhenzhong Chen, Chong Luo
The video generation field has witnessed rapid improvements with the introduction of recent diffusion models. While these models have successfully enhanced appearance quality, they…
Continuous Space-Time Video Super-Resolution Utilizing Long-Range Temporal Information
Yuantong Zhang, Daiqin Yang, Zhenzhong Chen +1
In this paper, we consider the task of space-time video super-resolution (ST-VSR), namely, expanding a given source video to a higher frame rate and resolution simultaneously. Howe…