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Multimedia Graphics Vision Computing

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Multimedia Graphics Vision Computing

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Research Frontiers in Semantic Segmentation and Scene Understanding

Development of deep learning methods for dense pixel-level semantic understanding and panoptic segmentation of complex visual scenes.

Panoptic Coherence in Dynamic Urban Scenes
Zero-Shot Scene Decomposition Across Domains
Temporal Consistency in Video Segmentation
Implicit Geometry and Semantic Boundaries
Cross-Modal Scene Understanding via Fusion
Weakly Supervised Semantic Learning at Scale
Adversarial Robustness in Scene Parsers
Long-Tail Semantic Categories in Real Scenes
Self-Supervised Representation for Scene Segmentation
Hierarchical Context Modeling in Dense Prediction

All Multimedia, Graphics & Vision Computing PhD categories