4 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Naka-GS: A Bionics-inspired Dual-Branch Naka Correction and Progressive Point Pruning for Low-Light 3DGS
Runyu Zhu, SiXun Dong, Zhiqiang Zhang +2
Low-light conditions severely hinder 3D restoration and reconstruction by degrading image visibility, introducing color distortions, and contaminating geometric priors for downstre…
MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning
Chenyu Wang, Weixin Luo, Sixun Dong +4
Recently, the astonishing performance of large language models (LLMs) in natural language comprehension and generation tasks triggered lots of exploration of using them as central…
RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation
Yiqun Zhao, Zibo Zhao, Jing Li +2
Indoor scene generation aims at creating shape-compatible, style-consistent furniture arrangements within a spatially reasonable layout. However, most existing approaches primarily…
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos
Sixun Dong, Huazhang Hu, Dongze Lian +3
Sequential video understanding, as an emerging video understanding task, has driven lots of researchers' attention because of its goal-oriented nature. This paper studies weakly su…
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
Huazhang Hu, Sixun Dong, Yiqun Zhao +3
Counting repetitive actions are widely seen in human activities such as physical exercise. Existing methods focus on performing repetitive action counting in short videos, which is…