activity
20222025
most citedEstimating more camera poses for ego-centric videos is essential for VQ3D

1 citations · 2 across the 10 of their papers we have counts for

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cs.CV2025

SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning

Fida Mohammad Thoker, Letian Jiang, Chen Zhao +4

Continued advances in self-supervised learning have led to significant progress in video representation learning, offering a scalable alternative to supervised approaches by removi…

cs.CV2025

SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning

Fida Mohammad Thoker, Letian Jiang, Chen Zhao +1

Masked video modeling, such as VideoMAE, is an effective paradigm for video self-supervised learning (SSL). However, they are primarily based on reconstructing pixel-level details…

cs.CV2025

BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding

Shuming Liu, Chen Zhao, Tianqi Xu +1

Large video-language models (VLMs) have demonstrated promising progress in various video understanding tasks. However, their effectiveness in long-form video analysis is constraine…

cs.CV2024

Harnessing Temporal Causality for Advanced Temporal Action Detection

Shuming Liu, Lin Sui, Chen-Lin Zhang +3

As a fundamental task in long-form video understanding, temporal action detection (TAD) aims to capture inherent temporal relations in untrimmed videos and identify candidate actio…

cs.CV2024

Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization

Jinjie Mai, Abdullah Hamdi, Silvio Giancola +2

We built our pipeline EgoLoc-v1, mainly inspired by EgoLoc. We propose a model ensemble strategy to improve the camera pose estimation part of the VQ3D task, which has been proven…

cs.CV2023

End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames

Shuming Liu, Chen-Lin Zhang, Chen Zhao +1

Recently, temporal action detection (TAD) has seen significant performance improvement with end-to-end training. However, due to the memory bottleneck, only models with limited sca…