Latest

• Memorize What Matters: Emergent Scene Decomposition from Multitraverse
• A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
• LITA: Language Instructed Temporal-localization Assistant
• Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
• Improving Distant 3D Object Detection Using 2D Box Supervision
• Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
• End-to-end 3D Tracking with Decoupled Queries
• FB-BEV: BEV Representation from Forward-Backward View Transformations
• FocalFormer3D: Focusing on Hard Instance for 3D Object Detection
• Fully Attentional Networks with Self-emerging Token Labeling
• Real-Time Radiance Fields for Single-Image Portrait View Synthesis
• FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
• Vision Transformers Are Good Mask Auto-Labelers
• VoxFormer: Sparse voxel transformer for camera-based 3D semantic scene completion
• Prismer: A Vision-Language Model with An Ensemble of Experts
• Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
• MinVIS: A minimal video instance segmentation framework without video-based training
• Test-time prompt tuning for zero-shot generalization in vision-language models
• Partial Convolution for Padding, Inpainting, and Image Synthesis
• Understanding The Robustness in Vision Transformers
• CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
• FreeSOLO: Learning to Segment Objects without Annotations
• Panoptic SegFormer: Delving deeper into panoptic segmentation with transformers
• M$^2$BEV: Multi-camera joint 3D detection and segmentation with unified birds-eye view representation
• Learning contrastive representation for semantic correspondence
• Coupled Segmentation and Edge Learning Using Dynamic Graph Propagation
• Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
• SegFormer: Simple and efficient design for semantic segmentation with transformers
• Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation
• DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
• Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
• UFO2: A Unified Framework towards Omni-supervised Object Detection
• Angular Visual Hardness
• Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
• Instance-aware, Context-focused, and Memory-efficient Weakly-Supervised Object Detection