118 citations · 222 across the 30 of their papers we have counts for
22 papers · 1 filter
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection
Kaixin Xu, Qingtian Feng, Hao Chen +6
Applying deep neural networks to 3D point cloud processing has attracted increasing attention due to its advanced performance in many areas, such as AR/VR, autonomous driving, and…
CMC-Bench: Towards a New Paradigm of Visual Signal Compression
Chunyi Li, Xiele Wu, Haoning Wu +7
Ultra-low bitrate image compression is a challenging and demanding topic. With the development of Large Multimodal Models (LMMs), a Cross Modality Compression (CMC) paradigm of Ima…
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…
Towards Open-ended Visual Quality Comparison
Haoning Wu, Hanwei Zhu, Zicheng Zhang +11
Comparative settings (e.g. pairwise choice, listwise ranking) have been adopted by a wide range of subjective studies for image quality assessment (IQA), as it inherently standardi…
MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
Chunyi Li, Guo Lu, Donghui Feng +6
With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic. However, existing compression algorithms must sa…
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
Yipo Huang, Quan Yuan, Xiangfei Sheng +6
With collective endeavors, multimodal large language models (MLLMs) are undergoing a flourishing development. However, their performances on image aesthetics perception remain inde…