Xianzhi Du
18 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Papers
CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
EMNLP 2025
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
ICLR 2025
Compressing LLMs: The Truth is Rarely Pure and Never Simple
ICLR 2024
Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models
WACV 2024
Ferret: Refer and Ground Anything Anywhere at Any Granularity
ICLR 2024
Guiding Instruction-based Image Editing via Multimodal Large Language Models
ICLR 2024
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ECCV 2024
MOFI: Learning Image Representations from Noisy Entity Annotated Images
ICLR 2024
VeCLIP: Improving CLIP Training via Visual-enriched Captions
ECCV 2024
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts
ICCV 2023
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
Auto-scaling Vision Transformers without Training
ICLR 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
NeurIPS 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Revisiting ResNets: Improved Training and Scaling Strategies
NeurIPS 2021
Efficient Scale-Permuted Backbone with Learned Resource Distribution
ECCV 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
CVPR 2020
A Graphical Model Approach for Matching Partial Signatures
CVPR 2015