Commonly Uncommon: Semantic Sparsity in Situation Recognition

Commonly Uncommon: Semantic Sparsity in Situation Recognition

3 December 2016

Vicente Ordonez

Luke Zettlemoyer

Papers citing "Commonly Uncommon: Semantic Sparsity in Situation Recognition"

9 / 9 papers shown

Title
Situational Scene Graph for Structured Human-centric Situation Understanding Chinthani Sugandhika Chen Li Deepu Rajan Basura Fernando 221 1 0 30 Oct 2024
Effectively Leveraging CLIP for Generating Situational Summaries of Images and Videos Dhruv Verma Debaditya Roy Basura Fernando 37 1 0 30 Jul 2024
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement Zhi-Qi Cheng Qianwen Dai Siyao Li Teruko Mitamura Alexander G. Hauptmann 16 34 0 18 Aug 2022
Collaborative Transformers for Grounded Situation Recognition Junhyeong Cho Youngseok Yoon Suha Kwak ViT 27 25 0 30 Mar 2022
Human-like Controllable Image Captioning with Verb-specific Semantic Roles Long Chen Zhihong Jiang Jun Xiao Wei Liu 30 74 0 22 Mar 2021
Grounded Situation Recognition Sarah M Pratt Mark Yatskar Luca Weihs Ali Farhadi Aniruddha Kembhavi 19 111 0 26 Mar 2020
Cross-task weakly supervised learning from instructional videos Dimitri Zhukov Jean-Baptiste Alayrac R. G. Cinbis David Fouhey Ivan Laptev Josef Sivic SSL 25 243 0 19 Mar 2019
MovieGraphs: Towards Understanding Human-Centric Situations from Videos Paul Vicol Makarand Tapaswi Lluis Castrejon Sanja Fidler 42 136 0 19 Dec 2017
Recurrent Models for Situation Recognition Arun Mallya Svetlana Lazebnik 20 30 0 18 Mar 2017