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20202026
most citedImage Compression with Encoder-Decoder Matched Semantic Segmentation

39 citations · 58 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

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…

cs.CV2023

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…

cs.CV2022

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…

cs.CV2022★ 3 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2020

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…