Core AI

Unifying Text, Tables, and Images for Multimodal Question Answering EMNLP 2023 Unifying Vision-Language Representation Space with Single-Tower Transformer AAAI 2023 Universal Instance Perception As Object Discovery and Retrieval CVPR 2023 Unleashing Text-to-Image Diffusion Models for Visual Perception ICCV 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023 UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers ICML 2023 UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model EMNLP 2023 VidChapters-7M: Video Chapters at Scale NeurIPS 2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation ICCV 2023 Video-Helpful Multimodal Machine Translation EMNLP 2023 Video-Text Pre-training with Learned Regions for Retrieval AAAI 2023 VindLU: A Recipe for Effective Video-and-Language Pretraining CVPR 2023 Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark CVPR 2023 Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023 Vision Transformers Are Good Mask Auto-Labelers CVPR 2023 Vision Transformers Are Parameter-Efficient Audio-Visual Learners CVPR 2023 Visual Elements Mining as Prompts for Instruction Learning for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Visually Grounded Commonsense Knowledge Acquisition AAAI 2023 Visually Grounded Continual Language Learning with Selective Specialization EMNLP 2023 Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation EMNLP 2023 Visual Storytelling with Question-Answer Plans EMNLP 2023 ViTs for SITS: Vision Transformers for Satellite Image Time Series CVPR 2023 VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud CVPR 2023 Vocabulary-free Image Classification NeurIPS 2023