Guangliang Cheng

Latest

• Sfnet: Faster and accurate semantic segmentation via semantic flow
• Dst-det: Simple dynamic self-training for open-vocabulary object detection
• Betrayed by captions: Joint caption grounding and generation for open vocabulary instance segmentation
• Panopticpartformer++: A unified and decoupled view for panoptic part segmentation
• TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
• Panoptic-partformer: Learning a unified model for panoptic part segmentation
• Polyphonicformer: Unified query learning for depth-aware video panoptic segmentation
• Fashionformer: A simple, effective and unified baseline for human fashion segmentation and recognition
• Query Learning of Both Thing and Stuff for Panoptic Segmentation
• Improving Video Instance Segmentation via Temporal Pyramid Routing
• Video k-net: A simple, strong, and unified baseline for video segmentation
• BoundarySqueeze: Image Segmentation as Boundary Squeezing
• End-to-end video object detection with spatial-temporal transformers
• Global aggregation then local distribution for scene parsing
• Towards efficient scene understanding via squeeze reasoning
• PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
• Enhanced boundary learning for glass-like object segmentation
• Improving semantic segmentation via decoupled body and edge supervision