Intermediate Level Adversarial Attack for Enhanced Transferability. - Qian Huang; Zeqi Gu; Isay Katsman; Horace He; Pian Pawakapan; Zhiqiu Lin; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Enhancing Adversarial Example Transferability With an Intermediate Level Attack. - Qian Huang; Isay Katsman; Zeqi Gu; Horace He; Serge J. Belongie; Ser-Nam Lim (ICCV, 2019)

Measuring Dataset Granularity. - Yin Cui; Zeqi Gu; Dhruv Mahajan 001; Laurens van der Maaten; Serge J. Belongie; Ser-Nam Lim (CoRR, 2019)

Robotic Dough Shaping. - Jan Ondras; Di Ni; Xi Deng; Zeqi Gu; Henry Zheng (CoRR, 2022)

Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models. - Zeqi Gu; Abe Davis (CoRR, 2023)

FactorMatte: Redefining Video Matting for Re-Composition Tasks. - Zeqi Gu; Wenqi Xian; Noah Snavely; Abe Davis (ACM Trans. Graph., 2023)

Filter-Guided Diffusion for Controllable Image Generation. - Zeqi Gu; Ethan Yang; Abe Davis (SIGGRAPH (Conference Paper Track), 2024)

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary. - Zeqi Gu; Yin Cui; Zhaoshuo Li; Fangyin Wei; Yunhao Ge; Jinwei Gu; Ming-Yu Liu 001; Abe Davis; Yifan Ding (CVPR, 2025)

How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies. - Zeqi Gu; Difan Liu; Timothy Langlois; Matthew Fisher; Abe Davis (Comput. Graph. Forum, 2025)