activity
20142026
most citedLearning from Synthetic Humans

978 citations · 4.5k across the 70 of their papers we have counts for

collaborators

84 papers

cs.CV2026

DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching

Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1

Despite steady progress in face recognition, current face recognition models still suffer from significant demographic biases. While approaches for bias mitigation have been propos…

cs.CV2024★ 2 cited

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Zerui Chen, Shizhe Chen, Etienne Arlaud +2

In this work, we aim to learn a unified vision-based policy for multi-fingered robot hands to manipulate a variety of objects in diverse poses. Though prior work has shown benefits…

cs.CV2024

SUGAR: Pre-training 3D Visual Representations for Robotics

Shizhe Chen, Ricardo Garcia, Ivan Laptev +1

Learning generalizable visual representations from Internet data has yielded promising results for robotics. Yet, prevailing approaches focus on pre-training 2D representations, be…

cs.CV2023

GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos

Tomáš Souček, Dima Damen, Michael Wray +2

We address the task of generating temporally consistent and physically plausible images of actions and object state transformations. Given an input image and a text prompt describi…

cs.RO2023★ 4 cited

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

Shizhe Chen, Ricardo Garcia, Cordelia Schmid +1

The ability for robots to comprehend and execute manipulation tasks based on natural language instructions is a long-term goal in robotics. The dominant approaches for language-gui…

cs.CV2023★ 2 cited

VidChapters-7M: Video Chapters at Scale

Antoine Yang, Arsha Nagrani, Ivan Laptev +2

Segmenting long videos into chapters enables users to quickly navigate to the information of their interest. This important topic has been understudied due to the lack of publicly…