Xiangtai Li

Latest

• Explore In-Context Segmentation via Latent Diffusion Models
• Towards robust referring image segmentation
• Sfnet: Faster and accurate semantic segmentation via semantic flow
• Towards open vocabulary learning: A survey
• RAP-SAM: Towards Real-Time All-Purpose Segment Anything
• Towards language-driven video inpainting via multimodal large language models
• Dst-det: Simple dynamic self-training for open-vocabulary object detection
• Multi-task learning with multi-query transformer for dense prediction
• Betrayed by captions: Joint caption grounding and generation for open vocabulary instance segmentation
• Panopticpartformer++: A unified and decoupled view for panoptic part segmentation
• Convolution-enhanced evolving attention networks
• 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
• Dynamic Dual Sampling Module For Fine-Grained Semantic Segmentation
• Fast and accurate scene parsing via bi-direction alignment networks
• 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
• Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks
• Improving semantic segmentation via decoupled body and edge supervision
• Semantic flow for fast and accurate scene parsing
• Gated fully fusion for semantic segmentation
• Global aggregation then local distribution in fully convolutional networks
• Dual graph convolutional network for semantic segmentation
• Flow2seg: Motion-aided semantic segmentation