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20192026
most citedLearning Invariance from Generated Variance for Unsupervised Person Re-identification

41 citations · 143 across the 26 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning

Pranav Balaji, Abhijit Das, Srijan Das +1

This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend ge…

cs.CV2023

LAC: Latent Action Composition for Skeleton-based Action Segmentation

Di Yang, Yaohui Wang, Antitza Dantcheva +4

Skeleton-based action segmentation requires recognizing composable actions in untrimmed videos. Current approaches decouple this problem by first extracting local visual features f…

cs.CV2023

Self-Supervised Video Representation Learning via Latent Time Navigation

Di Yang, Yaohui Wang, Quan Kong +4

Self-supervised video representation learning aimed at maximizing similarity between different temporal segments of one video, in order to enforce feature persistence over time. Th…

cs.CV2023★ 5 cited

LEO: Generative Latent Image Animator for Human Video Synthesis

Yaohui Wang, Xin Ma, Xinyuan Chen +4

Spatio-temporal coherency is a major challenge in synthesizing high quality videos, particularly in synthesizing human videos that contain rich global and local deformations. To re…

cs.CV2023★ 41 cited

Learning Invariance from Generated Variance for Unsupervised Person Re-identification

Hao Chen, Yaohui Wang, Benoit Lagadec +2

This work focuses on unsupervised representation learning in person re-identification (ReID). Recent self-supervised contrastive learning methods learn invariance by maximizing the…