39 citations · 58 across the 13 of their papers we have counts for
13 papers
Coarse Semantic Injection for LLM-Conditioned Structured Indoor Prediction
Shuliang Zhu, Tomiwa Adey, Jinjia Zhou
Large language models (LLMs) have recently been used as structured decoders for indoor understanding from 3D point-token inputs. However, point cloud encoders often under-represent…
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network
Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou
Background-Induced Text2Image (BIT2I) aims to generate foreground content according to the text on the given background image. Most studies focus on generating high-quality foregro…
Interactive Image Manipulation with Complex Text Instructions
Ryugo Morita, Zhiqiang Zhang, Man M. Ho +1
Recently, text-guided image manipulation has received increasing attention in the research field of multimedia processing and computer vision due to its high flexibility and contro…
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Gang He, Shaoyi Long, Li Xu +5
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range. This problem a…
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
Li Xu, Gang He, Jinjia Zhou +4
In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software enc…
Real-time FPGA Design for OMP Targeting 8K Image Reconstruction
Jiayao Xu, Chen Fu, Zhiqiang Zhang +1
During the past decade, implementing reconstruction algorithms on hardware has been at the center of much attention in the field of real-time reconstruction in Compressed Sensing (…
CSMCNet: Scalable Video Compressive Sensing Reconstruction with Interpretable Motion Estimation
Bowen Huang, Xiao Yan, Jinjia Zhou +1
Most deep network methods for compressive sensing reconstruction suffer from the black-box characteristic of DNN. In this paper, a deep neural network with interpretable motion est…
RCLC: ROI-based joint conventional and learning video compression
Trinh Man Hoang, Jinjia Zhou
COVID-19 leads to the high demand for remote interactive systems ever seen. One of the key elements of these systems is video streaming, which requires a very high network bandwidt…
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning
Man M. Ho, Jinjia Zhou
Physical photographs now can be conveniently scanned by smartphones and stored forever as a digital version, yet the scanned photos are not restored well. One solution is to train…
Image Compression with Encoder-Decoder Matched Semantic Segmentation
Trinh Man Hoang, Jinjia Zhou, Yibo Fan
In recent years, layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network t…
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
Trinh Man Hoang, Jinjia Zhou
Although the video compression ratio nowadays becomes higher, the video coders such as H.264/AVC, H.265/HEVC, H.266/VVC always suffer from the video artifacts. In this paper, we de…
CS-MCNet:A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation
Bowen Huang, Jinjia Zhou, Xiao Yan +3
In this paper, a deep neural network with interpretable motion compensation called CS-MCNet is proposed to realize high-quality and real-time decoding of video compressive sensing.…
Semantic-driven Colorization
Man M. Ho, Lu Zhang, Alexander Raake +1
Recent colorization works implicitly predict the semantic information while learning to colorize black-and-white images. Consequently, the generated color is easier to be overflowe…