5 papers · 1 filter
Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling
Huanzhen Wang, Ziheng Zhou, Zeng Tao +5
The human brain constructs emotional percepts not by processing facial expressions in isolation, but through a dynamic, hierarchical integration of sensory input with semantic and…
AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process
Junjie Hu, Shuyong Gao, Qianyu Guo +4
Humans can intuitively decompose an image into a sequence of strokes to create a painting, yet existing methods for generating drawing processes are limited to specific data types…
MSVCOD:A Large-Scale Multi-Scene Dataset for Video Camouflage Object Detection
Shuyong Gao, Yu'ang Feng, Qishan Wang +5
Video Camouflaged Object Detection (VCOD) is a challenging task which aims to identify objects that seamlessly concealed within the background in videos. The dynamic properties of…
A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
Tsui Qin Mok, Shuyong Gao, Haozhe Xing +3
Weakly-Supervised Camouflaged Object Detection (WSCOD) has gained popularity for its promise to train models with weak labels to segment objects that visually blend into their surr…
P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision
Junjie Hu, Shuyong Gao, Lingyi Hong +4
Recent research in subject-driven generation increasingly emphasizes the importance of selective subject features. Nevertheless, accurately selecting the content in a given referen…