Xianzhi Du

According to our database, Xianzhi Du authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

CoRR, 2024

Apple Intelligence Foundation Language Models.

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng

CoRR, 2024

Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training.

Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Ferret: Refer and Ground Anything Anywhere at Any Granularity.

Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compressing LLMs: The Truth is Rarely Pure and Never Simple.

Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Guiding Instruction-based Image Editing via Multimodal Large Language Models.

Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.

Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.

Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CoRR, 2023

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.

Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du

CoRR, 2023

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang

CoRR, 2023

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness.

Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng

CoRR, 2023

ISAA: Boost Repair Process by Constructing the Degree Constrained Optimal Repair Tree for Erasure-coded Systems.

Xianzhi Du, Bing Zhu, Zhihang Deng, Kenneth W. Shum, Weiping Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.

Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Optimizing Anchor-based Detectors for Autonomous Driving Scenes.

Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin

CoRR, 2022

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.

Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.

Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Auto-scaling Vision Transformers without Training.

Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Genetic Algorithm-based Construction of Fractional Repetition Codes.

Zhihang Deng, Bing Zhu, Xianzhi Du, Kenneth W. Shum

Proceedings of the IEEE Global Communications Conference, 2022

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.

Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.

Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

CoRR, 2021

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text.

Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown

CoRR, 2021

Revisiting 3D ResNets for Video Recognition.

Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello

CoRR, 2021

Simple Training Strategies and Model Scaling for Object Detection.

Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin

CoRR, 2021

Dilated SpineNet for Semantic Segmentation.

Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li

CoRR, 2021

Revisiting ResNets: Improved Training and Scaling Strategies.

Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Multitask Deep Neural Networks for Tele-Wide Stereo Matching.

Mostafa El-Khamy, Haoyu Ren, Xianzhi Du, Jungwon Lee

IEEE Access, 2020

FBA-AMNET: Foreground-Background Aware Atrous Multiscale Networks for Stereo Disparity Estimation.

Xianzhi Du, Mostafa El-Khamy, Jungwon Lee

Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

Efficient Scale-Permuted Backbone with Learned Resource Distribution.

Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song

Proceedings of the Computer Vision - ECCV 2020, 2020

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization.

Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching.

Mostafa El-Khamy, Haoyu Ren, Xianzhi Du, Jungwon Lee

CoRR, 2019

AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks.

Xianzhi Du, Mostafa El-Khamy, Jungwon Lee

CoRR, 2019

Multi-Task Learning of Depth from Tele and Wide Stereo Image Pairs.

Mostafa El-Khamy, Xianzhi Du, Haoyu Ren, Jungwon Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Boundary-sensitive Network for Portrait Segmentation.

Xianzhi Du, Xiaolong Wang, Dawei Li, Jingwen Zhu, Serafettin Tasci, Cameron Upright, Stephen Walsh, Larry S. Davis

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018

Fused Deep Neural Networks for Efficient Pedestrian Detection.

Xianzhi Du, Mostafa El-Khamy, Vlad I. Morariu, Jungwon Lee, Larry S. Davis

CoRR, 2018

2017

Computer Vision and Deep Learning with Applications to Object Detection, Segmentation, and Document Analysis.

Xianzhi Du

PhD thesis, 2017

Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection.

Xianzhi Du, Mostafa El-Khamy, Jungwon Lee, Larry S. Davis

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Cyber-physical system enabled nearby traffic flow modelling for autonomous vehicles.

Baiyu Chen, Zhengyu Yang, Siyu Huang, Xianzhi Du, Zhiwei Cui, Janki Bhimani, Xin Xie, Ningfang Mi

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

2015

A graphical model approach for matching partial signatures.

Xianzhi Du, David S. Doermann, Wael Abd-Almageed

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Signature Matching Using Supervised Topic Models.

Xianzhi Du, David S. Doermann, Wael Abd-Almageed

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Large-Scale Signature Matching Using Multi-stage Hashing.

Xianzhi Du, Wael Abd-Almageed, David S. Doermann

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2011

A Novel Wideband Spatial Power Combining Amplifier Based on Turnstile-Junction Waveguide Divider/Combiner.

Haiyan Jin, Xianzhi Du, Fulin Xiao, Guangjun Wen

IEICE Trans. Electron., 2011