activity
20192024
most citedPlaying for 3D Human Recovery

17 citations · 36 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Box2Flow: Instance-based Action Flow Graphs from Videos

Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic

A large amount of procedural videos on the web show how to complete various tasks. These tasks can often be accomplished in different ways and step orderings, with some steps able…

cs.CV2023

ALWOD: Active Learning for Weakly-Supervised Object Detection

Yuting Wang, Velibor Ilic, Jiatong Li +2

Object detection (OD), a crucial vision task, remains challenged by the lack of large training datasets with precise object localization labels. In this work, we propose ALWOD, a n…

cs.CV2021★ 17 cited

Playing for 3D Human Recovery

Zhongang Cai, Mingyuan Zhang, Jiawei Ren +7

Image- and video-based 3D human recovery (i.e., pose and shape estimation) have achieved substantial progress. However, due to the prohibitive cost of motion capture, existing data…

cs.CV2021

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

Hai X. Pham, Ricardo Guerrero, Jiatong Li +1

Despite the abundance of multi-modal data, such as image-text pairs, there has been little effort in understanding the individual entities and their different roles in the construc…

cs.CV2020★ 3 cited

Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images

Jiatong Li, Fangda Han, Ricardo Guerrero +1

Increased awareness of the impact of food consumption on health and lifestyle today has given rise to novel data-driven food analysis systems. Although these systems may recognize…