Search Results for author: Boyang Zhang

Found 5 papers, 1 papers with code

Comprehensive Assessment of Toxicity in ChatGPT

no code implementations3 Nov 2023 Boyang Zhang, Xinyue Shen, Wai Man Si, Zeyang Sha, Zeyuan Chen, Ahmed Salem, Yun Shen, Michael Backes, Yang Zhang

Moderating offensive, hateful, and toxic language has always been an important but challenging topic in the domain of safe use in NLP.

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots

1 code implementation23 Feb 2023 Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang

Given the simplicity and effectiveness of the attack method, our study indicates scientific plots indeed constitute a valid side channel for model information stealing attacks.

valid

Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos

no code implementations CVPR 2023 Boyang Zhang, Kehua Ma, Suping Wu, Zhixiang Yuan

However, most of the existing methods focus on the temporal consistency of videos, while ignoring the spatial representation in complex scenes, thus failing to recover a reasonable and smooth human mesh sequence under extreme illumination and chaotic backgrounds. To alleviate this problem, we propose a two-stage co-segmentation network based on discriminative representation for recovering human body meshes from videos.

D-CryptO: Deep learning-based analysis of colon organoid morphology from brightfield images

no code implementations12 Oct 2022 Lyan Abdul, Jocelyn Xu, Alexander Sotra, Abbas Chaudary, Jerry Gao, Shravanthi Rajasekar, Nicky Anvari, Hamidreza Mahyar, Boyang Zhang

With D-CryptO, subtle variations in how colon organoids responded to the different chemotherapeutic drugs were detected, which suggest potentially distinct mechanisms of action.

Morphological Analysis

Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from Videos

no code implementations7 Oct 2022 Boyang Zhang, Suping Wu, Hu Cao, Kehua Ma, Pan Li, Lei Lin

Different from them, our STR aims to learn accurate and natural motion sequences in an unconstrained environment through temporal and spatial tendency and to fully excavate the spatio-temporal features of existing video data.

3D Human Pose Estimation Temporal Sequences

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