most citedLarge-capacity and Flexible Video Steganography via Invertible Neural Network

4 citations · 8 across the 13 of their papers we have counts for

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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

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

Haozhe Qi, Chen Zhao, Mathieu Salzmann +1

Human hands are highly articulated and versatile at handling objects. Jointly estimating the 3D poses of a hand and the object it manipulates from a monocular camera is challenging…

cs.CV2024

Text Region Multiple Information Perception Network for Scene Text Detection

Jinzhi Zheng, Libo Zhang, Yanjun Wu +1

Segmentation-based scene text detection algorithms can handle arbitrary shape scene texts and have strong robustness and adaptability, so it has attracted wide attention. Existing…

cs.CV20241 cited

DrNet: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning

Chen Zhao, Shuming Liu, Karttikeya Mangalam +5

Large pretrained models are increasingly crucial in modern computer vision tasks. These models are typically used in downstream tasks by end-to-end finetuning, which is highly memo…

cs.CV20232 cited

3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation

Chen Zhao, Tong Zhang, Mathieu Salzmann

Prior methods that tackle the problem of generalizable object pose estimation highly rely on having dense views of the unseen object. By contrast, we address the scenario where onl…

cs.CV2023

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors

Hongge Chen, Zhao Chen, Gregory P. Meyer +4

We present SHIFT3D, a differentiable pipeline for generating 3D shapes that are structurally plausible yet challenging to 3D object detectors. In safety-critical applications like…