Computer Vision – ECCV 2024

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.- Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization.- RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images.- SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic.- AFreeCA: Annotation-Free Counting for All.- Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap.- LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation.- Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion.- Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration.- GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation.- PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery.- Sapiens: Foundation for Human Vision Models.- Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation.- Generating Human Interaction Motions in Scenes with Text Control.- NOVUM: Neural Object Volumes for Robust Object Classification.- Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception.- HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects.- SAIR: Learning Semantic-aware Implicit Representation.- ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization.- UNIC: Universal Classification Models via Multi-teacher Distillation.- Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation.- Eliminating Warping Shakes for Unsupervised Online Video Stitching.- Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models.- Merlin: Empowering Multimodal LLMs with Foresight Minds.- ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders.- E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness.- OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.