Multimodal Learning

Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models NeurIPS 2024 Hierarchical Aligned Multimodal Learning for NER on Tweet Posts AAAI 2024 HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness NeurIPS 2024 Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models CVPR 2024 Holistic Features are almost Sufficient for Text-to-Video Retrieval CVPR 2024 Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras CVPR 2024 How to Configure Good In-Context Sequence for Visual Question Answering CVPR 2024 I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses WACV 2024 If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024 Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective EMNLP 2024 IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation NeurIPS 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Individuation in Neural Models with and without Visual Grounding EMNLP 2024 Instant 3D Human Avatar Generation using Image Diffusion Models ECCV 2024 Interactive3D: Create What You Want by Interactive 3D Generation CVPR 2024 Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach ACL 2024 Interactive Visual Task Learning for Robots AAAI 2024 Interfacing Foundation Models' Embeddings NeurIPS 2024 Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024 Interpretable Image Classification with Adaptive Prototype-based Vision Transformers NeurIPS 2024 Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge NeurIPS 2024 Into the Unknown: Generating Geospatial Descriptions for New Environments ACL 2024 Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP 2024 Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024 Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection WACV 2024