PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Deep Modular Co-Attention Networks for Visual Question Answering

FiLM: Visual Reasoning with a General Conditioning Layer

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.

[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

Official code for paper "GRIT: Teaching MLLMs to Think with Images"

Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

[ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

[NeurIPS 2024] Official code repository for MSR3D paper

Image captioning using python and BLIP

💥 Transformation Driven Visual Reasoning - CVPR 2021

Visual Question Reasoning on General Dependency Tree

📄 A curated list of visual reasoning papers.

Learning Perceptual Inference by Contrasting

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution