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[ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Repository of 3D Object Detection with Pointformer (CVPR2021)
[CVPR2022 Oral] 3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds
[CVPR 2022] X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. ICCV 2021.
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[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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3D model viewer app (STL, OBJ, PLY) for Android.
A library for show 3d model in a easy way that can analysis STL/OBJ/3DS file and support rotation and zooming operations. 一个基于OpenGL ES的简单易用的3D模型展示框架。自动分类解析STL、OBJ、3DS等模型文件，支持对模型进行旋转和缩放等操作。
Meshed-Memory Transformer for Image Captioning. CVPR 2020
[CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps[AAAI2021]
Tensorflow Implementation on Paper [CVPR2020]Image Search with Text Feedback by Visiolinguistic Attention Learning
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
End-to-End Object Detection with Transformers
Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.
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Deep Modular Co-Attention Networks for Visual Question Answering