Xu, Zhenlin

9 publications

WACV 2025 GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

NeurIPS 2025 The Common Pile V0.1: An 8TB Dataset of Public Domain and Openly Licensed Text Nikhil Kandpal, Brian Lester, Colin Raffel, Sebastian Majstorovic, Stella Biderman, Baber Abbasi, Luca Soldaini, Enrico Shippole, A. Feder Cooper, Aviya Skowron, Shayne Longpre, Lintang Sutawika, Alon Albalak, Zhenlin Xu, Guilherme Penedo, Loubna Ben Allal, Elie Bakouch, John David Pressman, Honglu Fan, Dashiell Stander, Guangyu Song, Aaron Gokaslan, John Kirchenbauer, Tom Goldstein, Brian R. Bartoldson, Bhavya Kailkhura, Tyler Murray

CVPRW 2024 Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo

CVPR 2024 Self-Supervised Multi-Object Tracking with Path Consistency Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo

CVPR 2023 ScaleDet: A Scalable Multi-Dataset Object Detector Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo

ICCV 2023 SimpleClick: Interactive Image Segmentation with Simple Vision Transformers Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer

NeurIPS 2022 Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language Zhenlin Xu, Marc Niethammer, Colin A Raffel

ICLR 2021 Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer

ECCV 2020 Adversarial Data Augmentation via Deformation Statistics Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer