awesome grounding: A curated list of research papers in visual grounding

[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding

PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models

Awesome papers & datasets specifically focused on long-term videos.

[MM'24 Oral] Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Official pytorch repository for CG-DETR "Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding"

"Video Moment Retrieval from Text Queries via Single Frame Annotation" in SIGIR 2022

[CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)

Can I Trust Your Answer? Visually Grounded Video Question Answering (CVPR'24, Highlight)

Official Tensorflow Implementation of the AAAI-2020 paper "Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction"

[CVPR 2024] Context-Guided Spatio-Temporal Video Grounding

Source code for "Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction"

Official pytorch implementation of "Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos"

paper list on Video Moment Retrieval (VMR), or Natural Language Video Localization (NLVL), or Temporal Sentence Grounding in Videos (TSGV))

Implementation of paper "Not All Frames Are Equal: Weakly-Supervised Video Grounding with Contextual Similarity and Visual Clustering Losses"

Official implementation for paper Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos

Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos

Tensorflow Reproduction of the EMNLP-2018 paper "Temporally Grounding Natural Sentence in Video"

Pytorch implementation of the paper 'Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding' (AAAI2024).